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Logistic-regressor-video-p1/main.ipynb

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5 months ago
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
".. _iris_dataset:\n",
"\n",
"Iris plants dataset\n",
"--------------------\n",
"\n",
"**Data Set Characteristics:**\n",
"\n",
":Number of Instances: 150 (50 in each of three classes)\n",
":Number of Attributes: 4 numeric, predictive attributes and the class\n",
":Attribute Information:\n",
" - sepal length in cm\n",
" - sepal width in cm\n",
" - petal length in cm\n",
" - petal width in cm\n",
" - class:\n",
" - Iris-Setosa\n",
" - Iris-Versicolour\n",
" - Iris-Virginica\n",
"\n",
":Summary Statistics:\n",
"\n",
"============== ==== ==== ======= ===== ====================\n",
" Min Max Mean SD Class Correlation\n",
"============== ==== ==== ======= ===== ====================\n",
"sepal length: 4.3 7.9 5.84 0.83 0.7826\n",
"sepal width: 2.0 4.4 3.05 0.43 -0.4194\n",
"petal length: 1.0 6.9 3.76 1.76 0.9490 (high!)\n",
"petal width: 0.1 2.5 1.20 0.76 0.9565 (high!)\n",
"============== ==== ==== ======= ===== ====================\n",
"\n",
":Missing Attribute Values: None\n",
":Class Distribution: 33.3% for each of 3 classes.\n",
":Creator: R.A. Fisher\n",
":Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n",
":Date: July, 1988\n",
"\n",
"The famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\n",
"from Fisher's paper. Note that it's the same as in R, but not as in the UCI\n",
"Machine Learning Repository, which has two wrong data points.\n",
"\n",
"This is perhaps the best known database to be found in the\n",
"pattern recognition literature. Fisher's paper is a classic in the field and\n",
"is referenced frequently to this day. (See Duda & Hart, for example.) The\n",
"data set contains 3 classes of 50 instances each, where each class refers to a\n",
"type of iris plant. One class is linearly separable from the other 2; the\n",
"latter are NOT linearly separable from each other.\n",
"\n",
"|details-start|\n",
"**References**\n",
"|details-split|\n",
"\n",
"- Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\n",
" Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n",
" Mathematical Statistics\" (John Wiley, NY, 1950).\n",
"- Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\n",
" (Q327.D83) John Wiley & Sons. ISBN 0-471-22361-1. See page 218.\n",
"- Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n",
" Structure and Classification Rule for Recognition in Partially Exposed\n",
" Environments\". IEEE Transactions on Pattern Analysis and Machine\n",
" Intelligence, Vol. PAMI-2, No. 1, 67-71.\n",
"- Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\". IEEE Transactions\n",
" on Information Theory, May 1972, 431-433.\n",
"- See also: 1988 MLC Proceedings, 54-64. Cheeseman et al\"s AUTOCLASS II\n",
" conceptual clustering system finds 3 classes in the data.\n",
"- Many, many more ...\n",
"\n",
"|details-end|\n",
"\n"
]
}
],
"source": [
"from sklearn import datasets\n",
"iris = datasets.load_iris()\n",
"print(iris.DESCR)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sl = iris.data[:,0:1]\n",
"sw = iris.data[:,1:2]\n",
"plt.plot(sl,sw, '.k')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
" 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
" 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
" 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
" 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
" 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
" 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"iris.target"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Decision boundaries"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np \n",
"import matplotlib.pyplot as plt\n",
"t = np.linspace(-10,10, 100)\n",
"sig = 1/(1+np.exp(-t-4))\n",
"plt.plot(t,sig, '.b', label=r\"$\\sigma$\")\n",
"plt.legend(loc='upper left', fontsize =20)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Iris-Setosa Classifier based on petal width"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"X = iris.data[:,3:4]\n",
"y = (iris.target == 0).astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-1 {\n",
" /* Definition of color scheme common for light and dark mode */\n",
" --sklearn-color-text: black;\n",
" --sklearn-color-line: gray;\n",
" /* Definition of color scheme for unfitted estimators */\n",
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
" --sklearn-color-unfitted-level-3: chocolate;\n",
" /* Definition of color scheme for fitted estimators */\n",
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
" --sklearn-color-fitted-level-1: #d4ebff;\n",
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
"\n",
" /* Specific color for light theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-icon: #696969;\n",
"\n",
" @media (prefers-color-scheme: dark) {\n",
" /* Redefinition of color scheme for dark theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-icon: #878787;\n",
" }\n",
"}\n",
"\n",
"#sk-container-id-1 {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"#sk-container-id-1 pre {\n",
" padding: 0;\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-hidden--visually {\n",
" border: 0;\n",
" clip: rect(1px 1px 1px 1px);\n",
" clip: rect(1px, 1px, 1px, 1px);\n",
" height: 1px;\n",
" margin: -1px;\n",
" overflow: hidden;\n",
" padding: 0;\n",
" position: absolute;\n",
" width: 1px;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-dashed-wrapped {\n",
" border: 1px dashed var(--sklearn-color-line);\n",
" margin: 0 0.4em 0.5em 0.4em;\n",
" box-sizing: border-box;\n",
" padding-bottom: 0.4em;\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-container {\n",
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
" so we also need the `!important` here to be able to override the\n",
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
" display: inline-block !important;\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-text-repr-fallback {\n",
" display: none;\n",
"}\n",
"\n",
"div.sk-parallel-item,\n",
"div.sk-serial,\n",
"div.sk-item {\n",
" /* draw centered vertical line to link estimators */\n",
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
" background-size: 2px 100%;\n",
" background-repeat: no-repeat;\n",
" background-position: center center;\n",
"}\n",
"\n",
"/* Parallel-specific style estimator block */\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item::after {\n",
" content: \"\";\n",
" width: 100%;\n",
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
" flex-grow: 1;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel {\n",
" display: flex;\n",
" align-items: stretch;\n",
" justify-content: center;\n",
" background-color: var(--sklearn-color-background);\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
" align-self: flex-end;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
" align-self: flex-start;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
" width: 0;\n",
"}\n",
"\n",
"/* Serial-specific style estimator block */\n",
"\n",
"#sk-container-id-1 div.sk-serial {\n",
" display: flex;\n",
" flex-direction: column;\n",
" align-items: center;\n",
" background-color: var(--sklearn-color-background);\n",
" padding-right: 1em;\n",
" padding-left: 1em;\n",
"}\n",
"\n",
"\n",
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
"clickable and can be expanded/collapsed.\n",
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
"*/\n",
"\n",
"/* Pipeline and ColumnTransformer style (default) */\n",
"\n",
"#sk-container-id-1 div.sk-toggleable {\n",
" /* Default theme specific background. It is overwritten whether we have a\n",
" specific estimator or a Pipeline/ColumnTransformer */\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"/* Toggleable label */\n",
"#sk-container-id-1 label.sk-toggleable__label {\n",
" cursor: pointer;\n",
" display: block;\n",
" width: 100%;\n",
" margin-bottom: 0;\n",
" padding: 0.5em;\n",
" box-sizing: border-box;\n",
" text-align: center;\n",
"}\n",
"\n",
"#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
" /* Arrow on the left of the label */\n",
" content: \"▸\";\n",
" float: left;\n",
" margin-right: 0.25em;\n",
" color: var(--sklearn-color-icon);\n",
"}\n",
"\n",
"#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"/* Toggleable content - dropdown */\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content {\n",
" max-height: 0;\n",
" max-width: 0;\n",
" overflow: hidden;\n",
" text-align: left;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content pre {\n",
" margin: 0.2em;\n",
" border-radius: 0.25em;\n",
" color: var(--sklearn-color-text);\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
" /* Expand drop-down */\n",
" max-height: 200px;\n",
" max-width: 100%;\n",
" overflow: auto;\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
" content: \"▾\";\n",
"}\n",
"\n",
"/* Pipeline/ColumnTransformer-specific style */\n",
"\n",
"#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator-specific style */\n",
"\n",
"/* Colorize estimator box */\n",
"#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
"#sk-container-id-1 div.sk-label label {\n",
" /* The background is the default theme color */\n",
" color: var(--sklearn-color-text-on-default-background);\n",
"}\n",
"\n",
"/* On hover, darken the color of the background */\n",
"#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"/* Label box, darken color on hover, fitted */\n",
"#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator label */\n",
"\n",
"#sk-container-id-1 div.sk-label label {\n",
" font-family: monospace;\n",
" font-weight: bold;\n",
" display: inline-block;\n",
" line-height: 1.2em;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label-container {\n",
" text-align: center;\n",
"}\n",
"\n",
"/* Estimator-specific */\n",
"#sk-container-id-1 div.sk-estimator {\n",
" font-family: monospace;\n",
" border: 1px dotted var(--sklearn-color-border-box);\n",
" border-radius: 0.25em;\n",
" box-sizing: border-box;\n",
" margin-bottom: 0.5em;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"/* on hover */\n",
"#sk-container-id-1 div.sk-estimator:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
"\n",
"/* Common style for \"i\" and \"?\" */\n",
"\n",
".sk-estimator-doc-link,\n",
"a:link.sk-estimator-doc-link,\n",
"a:visited.sk-estimator-doc-link {\n",
" float: right;\n",
" font-size: smaller;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1em;\n",
" height: 1em;\n",
" width: 1em;\n",
" text-decoration: none !important;\n",
" margin-left: 1ex;\n",
" /* unfitted */\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted,\n",
"a:link.sk-estimator-doc-link.fitted,\n",
"a:visited.sk-estimator-doc-link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"/* Span, style for the box shown on hovering the info icon */\n",
".sk-estimator-doc-link span {\n",
" display: none;\n",
" z-index: 9999;\n",
" position: relative;\n",
" font-weight: normal;\n",
" right: .2ex;\n",
" padding: .5ex;\n",
" margin: .5ex;\n",
" width: min-content;\n",
" min-width: 20ex;\n",
" max-width: 50ex;\n",
" color: var(--sklearn-color-text);\n",
" box-shadow: 2pt 2pt 4pt #999;\n",
" /* unfitted */\n",
" background: var(--sklearn-color-unfitted-level-0);\n",
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted span {\n",
" /* fitted */\n",
" background: var(--sklearn-color-fitted-level-0);\n",
" border: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link:hover span {\n",
" display: block;\n",
"}\n",
"\n",
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link {\n",
" float: right;\n",
" font-size: 1rem;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1rem;\n",
" height: 1rem;\n",
" width: 1rem;\n",
" text-decoration: none;\n",
" /* unfitted */\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
"}\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"#sk-container-id-1 a.estimator_doc_link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(random_state=42)</pre></div> </div></div></div></div>"
],
"text/plain": [
"LogisticRegression(random_state=42)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.linear_model import LogisticRegression\n",
"mylr = LogisticRegression(solver='lbfgs', random_state=42)\n",
"mylr.fit(X,y)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Xnew = np.linspace(-1,3,100).reshape(-1,1)\n",
"yPred = mylr.predict_proba(Xnew)\n",
"#plt.plot(Xnew,yPred[:,0], label='No Iris')\n",
"plt.plot(Xnew,yPred[:,1], label='Yes Iris')\n",
"plt.legend()\n",
"plt.plot(X,y,'og')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Iris-Setosa petal length"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-2 {\n",
" /* Definition of color scheme common for light and dark mode */\n",
" --sklearn-color-text: black;\n",
" --sklearn-color-line: gray;\n",
" /* Definition of color scheme for unfitted estimators */\n",
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
" --sklearn-color-unfitted-level-3: chocolate;\n",
" /* Definition of color scheme for fitted estimators */\n",
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
" --sklearn-color-fitted-level-1: #d4ebff;\n",
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
"\n",
" /* Specific color for light theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-icon: #696969;\n",
"\n",
" @media (prefers-color-scheme: dark) {\n",
" /* Redefinition of color scheme for dark theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-icon: #878787;\n",
" }\n",
"}\n",
"\n",
"#sk-container-id-2 {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"#sk-container-id-2 pre {\n",
" padding: 0;\n",
"}\n",
"\n",
"#sk-container-id-2 input.sk-hidden--visually {\n",
" border: 0;\n",
" clip: rect(1px 1px 1px 1px);\n",
" clip: rect(1px, 1px, 1px, 1px);\n",
" height: 1px;\n",
" margin: -1px;\n",
" overflow: hidden;\n",
" padding: 0;\n",
" position: absolute;\n",
" width: 1px;\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-dashed-wrapped {\n",
" border: 1px dashed var(--sklearn-color-line);\n",
" margin: 0 0.4em 0.5em 0.4em;\n",
" box-sizing: border-box;\n",
" padding-bottom: 0.4em;\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-container {\n",
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
" so we also need the `!important` here to be able to override the\n",
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
" display: inline-block !important;\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-text-repr-fallback {\n",
" display: none;\n",
"}\n",
"\n",
"div.sk-parallel-item,\n",
"div.sk-serial,\n",
"div.sk-item {\n",
" /* draw centered vertical line to link estimators */\n",
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
" background-size: 2px 100%;\n",
" background-repeat: no-repeat;\n",
" background-position: center center;\n",
"}\n",
"\n",
"/* Parallel-specific style estimator block */\n",
"\n",
"#sk-container-id-2 div.sk-parallel-item::after {\n",
" content: \"\";\n",
" width: 100%;\n",
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
" flex-grow: 1;\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-parallel {\n",
" display: flex;\n",
" align-items: stretch;\n",
" justify-content: center;\n",
" background-color: var(--sklearn-color-background);\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-parallel-item {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
" align-self: flex-end;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
" align-self: flex-start;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
" width: 0;\n",
"}\n",
"\n",
"/* Serial-specific style estimator block */\n",
"\n",
"#sk-container-id-2 div.sk-serial {\n",
" display: flex;\n",
" flex-direction: column;\n",
" align-items: center;\n",
" background-color: var(--sklearn-color-background);\n",
" padding-right: 1em;\n",
" padding-left: 1em;\n",
"}\n",
"\n",
"\n",
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
"clickable and can be expanded/collapsed.\n",
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
"*/\n",
"\n",
"/* Pipeline and ColumnTransformer style (default) */\n",
"\n",
"#sk-container-id-2 div.sk-toggleable {\n",
" /* Default theme specific background. It is overwritten whether we have a\n",
" specific estimator or a Pipeline/ColumnTransformer */\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"/* Toggleable label */\n",
"#sk-container-id-2 label.sk-toggleable__label {\n",
" cursor: pointer;\n",
" display: block;\n",
" width: 100%;\n",
" margin-bottom: 0;\n",
" padding: 0.5em;\n",
" box-sizing: border-box;\n",
" text-align: center;\n",
"}\n",
"\n",
"#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
" /* Arrow on the left of the label */\n",
" content: \"▸\";\n",
" float: left;\n",
" margin-right: 0.25em;\n",
" color: var(--sklearn-color-icon);\n",
"}\n",
"\n",
"#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"/* Toggleable content - dropdown */\n",
"\n",
"#sk-container-id-2 div.sk-toggleable__content {\n",
" max-height: 0;\n",
" max-width: 0;\n",
" overflow: hidden;\n",
" text-align: left;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-toggleable__content pre {\n",
" margin: 0.2em;\n",
" border-radius: 0.25em;\n",
" color: var(--sklearn-color-text);\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
" /* Expand drop-down */\n",
" max-height: 200px;\n",
" max-width: 100%;\n",
" overflow: auto;\n",
"}\n",
"\n",
"#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
" content: \"▾\";\n",
"}\n",
"\n",
"/* Pipeline/ColumnTransformer-specific style */\n",
"\n",
"#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator-specific style */\n",
"\n",
"/* Colorize estimator box */\n",
"#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
"#sk-container-id-2 div.sk-label label {\n",
" /* The background is the default theme color */\n",
" color: var(--sklearn-color-text-on-default-background);\n",
"}\n",
"\n",
"/* On hover, darken the color of the background */\n",
"#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"/* Label box, darken color on hover, fitted */\n",
"#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator label */\n",
"\n",
"#sk-container-id-2 div.sk-label label {\n",
" font-family: monospace;\n",
" font-weight: bold;\n",
" display: inline-block;\n",
" line-height: 1.2em;\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-label-container {\n",
" text-align: center;\n",
"}\n",
"\n",
"/* Estimator-specific */\n",
"#sk-container-id-2 div.sk-estimator {\n",
" font-family: monospace;\n",
" border: 1px dotted var(--sklearn-color-border-box);\n",
" border-radius: 0.25em;\n",
" box-sizing: border-box;\n",
" margin-bottom: 0.5em;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-estimator.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"/* on hover */\n",
"#sk-container-id-2 div.sk-estimator:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
"\n",
"/* Common style for \"i\" and \"?\" */\n",
"\n",
".sk-estimator-doc-link,\n",
"a:link.sk-estimator-doc-link,\n",
"a:visited.sk-estimator-doc-link {\n",
" float: right;\n",
" font-size: smaller;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1em;\n",
" height: 1em;\n",
" width: 1em;\n",
" text-decoration: none !important;\n",
" margin-left: 1ex;\n",
" /* unfitted */\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted,\n",
"a:link.sk-estimator-doc-link.fitted,\n",
"a:visited.sk-estimator-doc-link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"/* Span, style for the box shown on hovering the info icon */\n",
".sk-estimator-doc-link span {\n",
" display: none;\n",
" z-index: 9999;\n",
" position: relative;\n",
" font-weight: normal;\n",
" right: .2ex;\n",
" padding: .5ex;\n",
" margin: .5ex;\n",
" width: min-content;\n",
" min-width: 20ex;\n",
" max-width: 50ex;\n",
" color: var(--sklearn-color-text);\n",
" box-shadow: 2pt 2pt 4pt #999;\n",
" /* unfitted */\n",
" background: var(--sklearn-color-unfitted-level-0);\n",
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted span {\n",
" /* fitted */\n",
" background: var(--sklearn-color-fitted-level-0);\n",
" border: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link:hover span {\n",
" display: block;\n",
"}\n",
"\n",
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
"\n",
"#sk-container-id-2 a.estimator_doc_link {\n",
" float: right;\n",
" font-size: 1rem;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1rem;\n",
" height: 1rem;\n",
" width: 1rem;\n",
" text-decoration: none;\n",
" /* unfitted */\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
"}\n",
"\n",
"#sk-container-id-2 a.estimator_doc_link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"#sk-container-id-2 a.estimator_doc_link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(random_state=42)</pre></div> </div></div></div></div>"
],
"text/plain": [
"LogisticRegression(random_state=42)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X = iris.data[:,2:3]\n",
"y = (iris.target == 0).astype(int)\n",
"from sklearn.linear_model import LogisticRegression\n",
"mylr = LogisticRegression(solver='lbfgs', random_state=42)\n",
"mylr.fit(X,y)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Xnew = np.linspace(0,8,100).reshape(-1,1)\n",
"yPred = mylr.predict_proba(Xnew)\n",
"#plt.plot(Xnew,yPred[:,0], label='No Iris')\n",
"plt.plot(Xnew,yPred[:,1], label='Yes Iris')\n",
"plt.legend()\n",
"plt.plot(X,y,'og')\n",
"plt.axis([1.5, 5, -0.1, 1.1])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Iris-Setosa Sepal-Length"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-3 {\n",
" /* Definition of color scheme common for light and dark mode */\n",
" --sklearn-color-text: black;\n",
" --sklearn-color-line: gray;\n",
" /* Definition of color scheme for unfitted estimators */\n",
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
" --sklearn-color-unfitted-level-3: chocolate;\n",
" /* Definition of color scheme for fitted estimators */\n",
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
" --sklearn-color-fitted-level-1: #d4ebff;\n",
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
"\n",
" /* Specific color for light theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-icon: #696969;\n",
"\n",
" @media (prefers-color-scheme: dark) {\n",
" /* Redefinition of color scheme for dark theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-icon: #878787;\n",
" }\n",
"}\n",
"\n",
"#sk-container-id-3 {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"#sk-container-id-3 pre {\n",
" padding: 0;\n",
"}\n",
"\n",
"#sk-container-id-3 input.sk-hidden--visually {\n",
" border: 0;\n",
" clip: rect(1px 1px 1px 1px);\n",
" clip: rect(1px, 1px, 1px, 1px);\n",
" height: 1px;\n",
" margin: -1px;\n",
" overflow: hidden;\n",
" padding: 0;\n",
" position: absolute;\n",
" width: 1px;\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-dashed-wrapped {\n",
" border: 1px dashed var(--sklearn-color-line);\n",
" margin: 0 0.4em 0.5em 0.4em;\n",
" box-sizing: border-box;\n",
" padding-bottom: 0.4em;\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-container {\n",
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
" so we also need the `!important` here to be able to override the\n",
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
" display: inline-block !important;\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-text-repr-fallback {\n",
" display: none;\n",
"}\n",
"\n",
"div.sk-parallel-item,\n",
"div.sk-serial,\n",
"div.sk-item {\n",
" /* draw centered vertical line to link estimators */\n",
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
" background-size: 2px 100%;\n",
" background-repeat: no-repeat;\n",
" background-position: center center;\n",
"}\n",
"\n",
"/* Parallel-specific style estimator block */\n",
"\n",
"#sk-container-id-3 div.sk-parallel-item::after {\n",
" content: \"\";\n",
" width: 100%;\n",
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
" flex-grow: 1;\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-parallel {\n",
" display: flex;\n",
" align-items: stretch;\n",
" justify-content: center;\n",
" background-color: var(--sklearn-color-background);\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-parallel-item {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
" align-self: flex-end;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
" align-self: flex-start;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
" width: 0;\n",
"}\n",
"\n",
"/* Serial-specific style estimator block */\n",
"\n",
"#sk-container-id-3 div.sk-serial {\n",
" display: flex;\n",
" flex-direction: column;\n",
" align-items: center;\n",
" background-color: var(--sklearn-color-background);\n",
" padding-right: 1em;\n",
" padding-left: 1em;\n",
"}\n",
"\n",
"\n",
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
"clickable and can be expanded/collapsed.\n",
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
"*/\n",
"\n",
"/* Pipeline and ColumnTransformer style (default) */\n",
"\n",
"#sk-container-id-3 div.sk-toggleable {\n",
" /* Default theme specific background. It is overwritten whether we have a\n",
" specific estimator or a Pipeline/ColumnTransformer */\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"/* Toggleable label */\n",
"#sk-container-id-3 label.sk-toggleable__label {\n",
" cursor: pointer;\n",
" display: block;\n",
" width: 100%;\n",
" margin-bottom: 0;\n",
" padding: 0.5em;\n",
" box-sizing: border-box;\n",
" text-align: center;\n",
"}\n",
"\n",
"#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
" /* Arrow on the left of the label */\n",
" content: \"▸\";\n",
" float: left;\n",
" margin-right: 0.25em;\n",
" color: var(--sklearn-color-icon);\n",
"}\n",
"\n",
"#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"/* Toggleable content - dropdown */\n",
"\n",
"#sk-container-id-3 div.sk-toggleable__content {\n",
" max-height: 0;\n",
" max-width: 0;\n",
" overflow: hidden;\n",
" text-align: left;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-toggleable__content pre {\n",
" margin: 0.2em;\n",
" border-radius: 0.25em;\n",
" color: var(--sklearn-color-text);\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
" /* Expand drop-down */\n",
" max-height: 200px;\n",
" max-width: 100%;\n",
" overflow: auto;\n",
"}\n",
"\n",
"#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
" content: \"▾\";\n",
"}\n",
"\n",
"/* Pipeline/ColumnTransformer-specific style */\n",
"\n",
"#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator-specific style */\n",
"\n",
"/* Colorize estimator box */\n",
"#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
"#sk-container-id-3 div.sk-label label {\n",
" /* The background is the default theme color */\n",
" color: var(--sklearn-color-text-on-default-background);\n",
"}\n",
"\n",
"/* On hover, darken the color of the background */\n",
"#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"/* Label box, darken color on hover, fitted */\n",
"#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator label */\n",
"\n",
"#sk-container-id-3 div.sk-label label {\n",
" font-family: monospace;\n",
" font-weight: bold;\n",
" display: inline-block;\n",
" line-height: 1.2em;\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-label-container {\n",
" text-align: center;\n",
"}\n",
"\n",
"/* Estimator-specific */\n",
"#sk-container-id-3 div.sk-estimator {\n",
" font-family: monospace;\n",
" border: 1px dotted var(--sklearn-color-border-box);\n",
" border-radius: 0.25em;\n",
" box-sizing: border-box;\n",
" margin-bottom: 0.5em;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-estimator.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"/* on hover */\n",
"#sk-container-id-3 div.sk-estimator:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
"\n",
"/* Common style for \"i\" and \"?\" */\n",
"\n",
".sk-estimator-doc-link,\n",
"a:link.sk-estimator-doc-link,\n",
"a:visited.sk-estimator-doc-link {\n",
" float: right;\n",
" font-size: smaller;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1em;\n",
" height: 1em;\n",
" width: 1em;\n",
" text-decoration: none !important;\n",
" margin-left: 1ex;\n",
" /* unfitted */\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted,\n",
"a:link.sk-estimator-doc-link.fitted,\n",
"a:visited.sk-estimator-doc-link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"/* Span, style for the box shown on hovering the info icon */\n",
".sk-estimator-doc-link span {\n",
" display: none;\n",
" z-index: 9999;\n",
" position: relative;\n",
" font-weight: normal;\n",
" right: .2ex;\n",
" padding: .5ex;\n",
" margin: .5ex;\n",
" width: min-content;\n",
" min-width: 20ex;\n",
" max-width: 50ex;\n",
" color: var(--sklearn-color-text);\n",
" box-shadow: 2pt 2pt 4pt #999;\n",
" /* unfitted */\n",
" background: var(--sklearn-color-unfitted-level-0);\n",
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted span {\n",
" /* fitted */\n",
" background: var(--sklearn-color-fitted-level-0);\n",
" border: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link:hover span {\n",
" display: block;\n",
"}\n",
"\n",
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
"\n",
"#sk-container-id-3 a.estimator_doc_link {\n",
" float: right;\n",
" font-size: 1rem;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1rem;\n",
" height: 1rem;\n",
" width: 1rem;\n",
" text-decoration: none;\n",
" /* unfitted */\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
"}\n",
"\n",
"#sk-container-id-3 a.estimator_doc_link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"#sk-container-id-3 a.estimator_doc_link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(random_state=42)</pre></div> </div></div></div></div>"
],
"text/plain": [
"LogisticRegression(random_state=42)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X = iris.data[:,0:1]\n",
"y = (iris.target == 0).astype(int)\n",
"from sklearn.linear_model import LogisticRegression\n",
"mylr = LogisticRegression(solver='lbfgs', random_state=42)\n",
"mylr.fit(X,y)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Xnew = np.linspace(0,8,100).reshape(-1,1)\n",
"yPred = mylr.predict_proba(Xnew)\n",
"#plt.plot(Xnew,yPred[:,0], label='No Iris')\n",
"plt.plot(Xnew,yPred[:,1], label='Yes Iris')\n",
"plt.legend()\n",
"plt.plot(X,y,'og')\n",
"plt.axis([3.5, 7, -0.1, 1.1])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Multiple features classifier"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"sl = iris.data[:,0:1]\n",
"sw = iris.data[:,1:2]\n",
"tg = iris.target\n",
"plt.plot(sl[tg==0,0], sw[tg==0,0],'.g' ,label='Set')\n",
"plt.plot(sl[tg==1,0], sw[tg==1,0],'.r', label='Ver')\n",
"plt.plot(sl[tg==2,0], sw[tg==2,0],'.b', label='Vir')\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.linear_model import LogisticRegression\n",
"X = iris.data[:,0:2]\n",
"y = (iris.target==2).astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-13 {\n",
" /* Definition of color scheme common for light and dark mode */\n",
" --sklearn-color-text: black;\n",
" --sklearn-color-line: gray;\n",
" /* Definition of color scheme for unfitted estimators */\n",
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
" --sklearn-color-unfitted-level-3: chocolate;\n",
" /* Definition of color scheme for fitted estimators */\n",
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
" --sklearn-color-fitted-level-1: #d4ebff;\n",
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
"\n",
" /* Specific color for light theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-icon: #696969;\n",
"\n",
" @media (prefers-color-scheme: dark) {\n",
" /* Redefinition of color scheme for dark theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-icon: #878787;\n",
" }\n",
"}\n",
"\n",
"#sk-container-id-13 {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"#sk-container-id-13 pre {\n",
" padding: 0;\n",
"}\n",
"\n",
"#sk-container-id-13 input.sk-hidden--visually {\n",
" border: 0;\n",
" clip: rect(1px 1px 1px 1px);\n",
" clip: rect(1px, 1px, 1px, 1px);\n",
" height: 1px;\n",
" margin: -1px;\n",
" overflow: hidden;\n",
" padding: 0;\n",
" position: absolute;\n",
" width: 1px;\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-dashed-wrapped {\n",
" border: 1px dashed var(--sklearn-color-line);\n",
" margin: 0 0.4em 0.5em 0.4em;\n",
" box-sizing: border-box;\n",
" padding-bottom: 0.4em;\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-container {\n",
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
" so we also need the `!important` here to be able to override the\n",
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
" display: inline-block !important;\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-text-repr-fallback {\n",
" display: none;\n",
"}\n",
"\n",
"div.sk-parallel-item,\n",
"div.sk-serial,\n",
"div.sk-item {\n",
" /* draw centered vertical line to link estimators */\n",
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
" background-size: 2px 100%;\n",
" background-repeat: no-repeat;\n",
" background-position: center center;\n",
"}\n",
"\n",
"/* Parallel-specific style estimator block */\n",
"\n",
"#sk-container-id-13 div.sk-parallel-item::after {\n",
" content: \"\";\n",
" width: 100%;\n",
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
" flex-grow: 1;\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-parallel {\n",
" display: flex;\n",
" align-items: stretch;\n",
" justify-content: center;\n",
" background-color: var(--sklearn-color-background);\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-parallel-item {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-parallel-item:first-child::after {\n",
" align-self: flex-end;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-parallel-item:last-child::after {\n",
" align-self: flex-start;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-parallel-item:only-child::after {\n",
" width: 0;\n",
"}\n",
"\n",
"/* Serial-specific style estimator block */\n",
"\n",
"#sk-container-id-13 div.sk-serial {\n",
" display: flex;\n",
" flex-direction: column;\n",
" align-items: center;\n",
" background-color: var(--sklearn-color-background);\n",
" padding-right: 1em;\n",
" padding-left: 1em;\n",
"}\n",
"\n",
"\n",
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
"clickable and can be expanded/collapsed.\n",
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
"*/\n",
"\n",
"/* Pipeline and ColumnTransformer style (default) */\n",
"\n",
"#sk-container-id-13 div.sk-toggleable {\n",
" /* Default theme specific background. It is overwritten whether we have a\n",
" specific estimator or a Pipeline/ColumnTransformer */\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"/* Toggleable label */\n",
"#sk-container-id-13 label.sk-toggleable__label {\n",
" cursor: pointer;\n",
" display: block;\n",
" width: 100%;\n",
" margin-bottom: 0;\n",
" padding: 0.5em;\n",
" box-sizing: border-box;\n",
" text-align: center;\n",
"}\n",
"\n",
"#sk-container-id-13 label.sk-toggleable__label-arrow:before {\n",
" /* Arrow on the left of the label */\n",
" content: \"▸\";\n",
" float: left;\n",
" margin-right: 0.25em;\n",
" color: var(--sklearn-color-icon);\n",
"}\n",
"\n",
"#sk-container-id-13 label.sk-toggleable__label-arrow:hover:before {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"/* Toggleable content - dropdown */\n",
"\n",
"#sk-container-id-13 div.sk-toggleable__content {\n",
" max-height: 0;\n",
" max-width: 0;\n",
" overflow: hidden;\n",
" text-align: left;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-toggleable__content.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-toggleable__content pre {\n",
" margin: 0.2em;\n",
" border-radius: 0.25em;\n",
" color: var(--sklearn-color-text);\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-toggleable__content.fitted pre {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-13 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
" /* Expand drop-down */\n",
" max-height: 200px;\n",
" max-width: 100%;\n",
" overflow: auto;\n",
"}\n",
"\n",
"#sk-container-id-13 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
" content: \"▾\";\n",
"}\n",
"\n",
"/* Pipeline/ColumnTransformer-specific style */\n",
"\n",
"#sk-container-id-13 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator-specific style */\n",
"\n",
"/* Colorize estimator box */\n",
"#sk-container-id-13 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-label label.sk-toggleable__label,\n",
"#sk-container-id-13 div.sk-label label {\n",
" /* The background is the default theme color */\n",
" color: var(--sklearn-color-text-on-default-background);\n",
"}\n",
"\n",
"/* On hover, darken the color of the background */\n",
"#sk-container-id-13 div.sk-label:hover label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"/* Label box, darken color on hover, fitted */\n",
"#sk-container-id-13 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator label */\n",
"\n",
"#sk-container-id-13 div.sk-label label {\n",
" font-family: monospace;\n",
" font-weight: bold;\n",
" display: inline-block;\n",
" line-height: 1.2em;\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-label-container {\n",
" text-align: center;\n",
"}\n",
"\n",
"/* Estimator-specific */\n",
"#sk-container-id-13 div.sk-estimator {\n",
" font-family: monospace;\n",
" border: 1px dotted var(--sklearn-color-border-box);\n",
" border-radius: 0.25em;\n",
" box-sizing: border-box;\n",
" margin-bottom: 0.5em;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-estimator.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"/* on hover */\n",
"#sk-container-id-13 div.sk-estimator:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-13 div.sk-estimator.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
"\n",
"/* Common style for \"i\" and \"?\" */\n",
"\n",
".sk-estimator-doc-link,\n",
"a:link.sk-estimator-doc-link,\n",
"a:visited.sk-estimator-doc-link {\n",
" float: right;\n",
" font-size: smaller;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1em;\n",
" height: 1em;\n",
" width: 1em;\n",
" text-decoration: none !important;\n",
" margin-left: 1ex;\n",
" /* unfitted */\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted,\n",
"a:link.sk-estimator-doc-link.fitted,\n",
"a:visited.sk-estimator-doc-link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"/* Span, style for the box shown on hovering the info icon */\n",
".sk-estimator-doc-link span {\n",
" display: none;\n",
" z-index: 9999;\n",
" position: relative;\n",
" font-weight: normal;\n",
" right: .2ex;\n",
" padding: .5ex;\n",
" margin: .5ex;\n",
" width: min-content;\n",
" min-width: 20ex;\n",
" max-width: 50ex;\n",
" color: var(--sklearn-color-text);\n",
" box-shadow: 2pt 2pt 4pt #999;\n",
" /* unfitted */\n",
" background: var(--sklearn-color-unfitted-level-0);\n",
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted span {\n",
" /* fitted */\n",
" background: var(--sklearn-color-fitted-level-0);\n",
" border: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link:hover span {\n",
" display: block;\n",
"}\n",
"\n",
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
"\n",
"#sk-container-id-13 a.estimator_doc_link {\n",
" float: right;\n",
" font-size: 1rem;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1rem;\n",
" height: 1rem;\n",
" width: 1rem;\n",
" text-decoration: none;\n",
" /* unfitted */\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
"}\n",
"\n",
"#sk-container-id-13 a.estimator_doc_link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"#sk-container-id-13 a.estimator_doc_link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"#sk-container-id-13 a.estimator_doc_link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"</style><div id=\"sk-container-id-13\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=100, random_state=22, solver=&#x27;newton-cg&#x27;, tol=1e-05)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" checked><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(C=100, random_state=22, solver=&#x27;newton-cg&#x27;, tol=1e-05)</pre></div> </div></div></div></div>"
],
"text/plain": [
"LogisticRegression(C=100, random_state=22, solver='newton-cg', tol=1e-05)"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mylrvir = LogisticRegression(\n",
" random_state=22,\n",
" tol=1e-5,\n",
" C=100,\n",
" max_iter=100,\n",
" solver='newton-cg'\n",
")\n",
"mylrvir.fit(X,y)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"x0, x1 = np.meshgrid(\n",
" np.linspace(3,8,100).reshape(-1,1),\n",
" np.linspace(0,6,100).reshape(-1,1)\n",
")\n",
"Xnew = np.c_[x0.ravel(), x1.ravel()]\n",
"yPred = mylrvir.predict_proba(Xnew)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10,4))\n",
"plt.plot(X[y==0,0], X[y==0,1],'bs',label='No Virg')\n",
"plt.plot(X[y==1,0], X[y==1,1],'g^',label='Virginica')\n",
"zz=yPred[:,1].reshape(x0.shape)\n",
"contour=plt.contour(x0,x1,zz)\n",
"plt.clabel(contour, inline=1,fontsize=15)\n",
"plt.xlabel(\"Sepal Length\")\n",
"plt.ylabel(\"Sepal Width\")\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<mpl_toolkits.mplot3d.art3d.Path3DCollection at 0x16c24cda0>"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax =plt.subplots(subplot_kw={\"projection\": \"3d\"})\n",
"surf = ax.plot_surface(x0,x1,zz, cmap='jet')\n",
"ax.scatter(iris.data[:,0:1], iris.data[:,1:2], y, 'or')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Multiple features and muticlass classifier"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-18 {\n",
" /* Definition of color scheme common for light and dark mode */\n",
" --sklearn-color-text: black;\n",
" --sklearn-color-line: gray;\n",
" /* Definition of color scheme for unfitted estimators */\n",
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
" --sklearn-color-unfitted-level-3: chocolate;\n",
" /* Definition of color scheme for fitted estimators */\n",
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
" --sklearn-color-fitted-level-1: #d4ebff;\n",
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
"\n",
" /* Specific color for light theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-icon: #696969;\n",
"\n",
" @media (prefers-color-scheme: dark) {\n",
" /* Redefinition of color scheme for dark theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-icon: #878787;\n",
" }\n",
"}\n",
"\n",
"#sk-container-id-18 {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"#sk-container-id-18 pre {\n",
" padding: 0;\n",
"}\n",
"\n",
"#sk-container-id-18 input.sk-hidden--visually {\n",
" border: 0;\n",
" clip: rect(1px 1px 1px 1px);\n",
" clip: rect(1px, 1px, 1px, 1px);\n",
" height: 1px;\n",
" margin: -1px;\n",
" overflow: hidden;\n",
" padding: 0;\n",
" position: absolute;\n",
" width: 1px;\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-dashed-wrapped {\n",
" border: 1px dashed var(--sklearn-color-line);\n",
" margin: 0 0.4em 0.5em 0.4em;\n",
" box-sizing: border-box;\n",
" padding-bottom: 0.4em;\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-container {\n",
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
" so we also need the `!important` here to be able to override the\n",
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
" display: inline-block !important;\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-text-repr-fallback {\n",
" display: none;\n",
"}\n",
"\n",
"div.sk-parallel-item,\n",
"div.sk-serial,\n",
"div.sk-item {\n",
" /* draw centered vertical line to link estimators */\n",
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
" background-size: 2px 100%;\n",
" background-repeat: no-repeat;\n",
" background-position: center center;\n",
"}\n",
"\n",
"/* Parallel-specific style estimator block */\n",
"\n",
"#sk-container-id-18 div.sk-parallel-item::after {\n",
" content: \"\";\n",
" width: 100%;\n",
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
" flex-grow: 1;\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-parallel {\n",
" display: flex;\n",
" align-items: stretch;\n",
" justify-content: center;\n",
" background-color: var(--sklearn-color-background);\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-parallel-item {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-parallel-item:first-child::after {\n",
" align-self: flex-end;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-parallel-item:last-child::after {\n",
" align-self: flex-start;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-parallel-item:only-child::after {\n",
" width: 0;\n",
"}\n",
"\n",
"/* Serial-specific style estimator block */\n",
"\n",
"#sk-container-id-18 div.sk-serial {\n",
" display: flex;\n",
" flex-direction: column;\n",
" align-items: center;\n",
" background-color: var(--sklearn-color-background);\n",
" padding-right: 1em;\n",
" padding-left: 1em;\n",
"}\n",
"\n",
"\n",
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
"clickable and can be expanded/collapsed.\n",
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
"*/\n",
"\n",
"/* Pipeline and ColumnTransformer style (default) */\n",
"\n",
"#sk-container-id-18 div.sk-toggleable {\n",
" /* Default theme specific background. It is overwritten whether we have a\n",
" specific estimator or a Pipeline/ColumnTransformer */\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"/* Toggleable label */\n",
"#sk-container-id-18 label.sk-toggleable__label {\n",
" cursor: pointer;\n",
" display: block;\n",
" width: 100%;\n",
" margin-bottom: 0;\n",
" padding: 0.5em;\n",
" box-sizing: border-box;\n",
" text-align: center;\n",
"}\n",
"\n",
"#sk-container-id-18 label.sk-toggleable__label-arrow:before {\n",
" /* Arrow on the left of the label */\n",
" content: \"▸\";\n",
" float: left;\n",
" margin-right: 0.25em;\n",
" color: var(--sklearn-color-icon);\n",
"}\n",
"\n",
"#sk-container-id-18 label.sk-toggleable__label-arrow:hover:before {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"/* Toggleable content - dropdown */\n",
"\n",
"#sk-container-id-18 div.sk-toggleable__content {\n",
" max-height: 0;\n",
" max-width: 0;\n",
" overflow: hidden;\n",
" text-align: left;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-toggleable__content.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-toggleable__content pre {\n",
" margin: 0.2em;\n",
" border-radius: 0.25em;\n",
" color: var(--sklearn-color-text);\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-toggleable__content.fitted pre {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-18 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
" /* Expand drop-down */\n",
" max-height: 200px;\n",
" max-width: 100%;\n",
" overflow: auto;\n",
"}\n",
"\n",
"#sk-container-id-18 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
" content: \"▾\";\n",
"}\n",
"\n",
"/* Pipeline/ColumnTransformer-specific style */\n",
"\n",
"#sk-container-id-18 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator-specific style */\n",
"\n",
"/* Colorize estimator box */\n",
"#sk-container-id-18 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-label label.sk-toggleable__label,\n",
"#sk-container-id-18 div.sk-label label {\n",
" /* The background is the default theme color */\n",
" color: var(--sklearn-color-text-on-default-background);\n",
"}\n",
"\n",
"/* On hover, darken the color of the background */\n",
"#sk-container-id-18 div.sk-label:hover label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"/* Label box, darken color on hover, fitted */\n",
"#sk-container-id-18 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator label */\n",
"\n",
"#sk-container-id-18 div.sk-label label {\n",
" font-family: monospace;\n",
" font-weight: bold;\n",
" display: inline-block;\n",
" line-height: 1.2em;\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-label-container {\n",
" text-align: center;\n",
"}\n",
"\n",
"/* Estimator-specific */\n",
"#sk-container-id-18 div.sk-estimator {\n",
" font-family: monospace;\n",
" border: 1px dotted var(--sklearn-color-border-box);\n",
" border-radius: 0.25em;\n",
" box-sizing: border-box;\n",
" margin-bottom: 0.5em;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-estimator.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"/* on hover */\n",
"#sk-container-id-18 div.sk-estimator:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-18 div.sk-estimator.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
"\n",
"/* Common style for \"i\" and \"?\" */\n",
"\n",
".sk-estimator-doc-link,\n",
"a:link.sk-estimator-doc-link,\n",
"a:visited.sk-estimator-doc-link {\n",
" float: right;\n",
" font-size: smaller;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1em;\n",
" height: 1em;\n",
" width: 1em;\n",
" text-decoration: none !important;\n",
" margin-left: 1ex;\n",
" /* unfitted */\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted,\n",
"a:link.sk-estimator-doc-link.fitted,\n",
"a:visited.sk-estimator-doc-link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"/* Span, style for the box shown on hovering the info icon */\n",
".sk-estimator-doc-link span {\n",
" display: none;\n",
" z-index: 9999;\n",
" position: relative;\n",
" font-weight: normal;\n",
" right: .2ex;\n",
" padding: .5ex;\n",
" margin: .5ex;\n",
" width: min-content;\n",
" min-width: 20ex;\n",
" max-width: 50ex;\n",
" color: var(--sklearn-color-text);\n",
" box-shadow: 2pt 2pt 4pt #999;\n",
" /* unfitted */\n",
" background: var(--sklearn-color-unfitted-level-0);\n",
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted span {\n",
" /* fitted */\n",
" background: var(--sklearn-color-fitted-level-0);\n",
" border: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link:hover span {\n",
" display: block;\n",
"}\n",
"\n",
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
"\n",
"#sk-container-id-18 a.estimator_doc_link {\n",
" float: right;\n",
" font-size: 1rem;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1rem;\n",
" height: 1rem;\n",
" width: 1rem;\n",
" text-decoration: none;\n",
" /* unfitted */\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
"}\n",
"\n",
"#sk-container-id-18 a.estimator_doc_link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"#sk-container-id-18 a.estimator_doc_link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"#sk-container-id-18 a.estimator_doc_link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"</style><div id=\"sk-container-id-18\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=100, multi_class=&#x27;multinomial&#x27;, random_state=22)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-18\" type=\"checkbox\" checked><label for=\"sk-estimator-id-18\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(C=100, multi_class=&#x27;multinomial&#x27;, random_state=22)</pre></div> </div></div></div></div>"
],
"text/plain": [
"LogisticRegression(C=100, multi_class='multinomial', random_state=22)"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X = iris.data[:,0:2]\n",
"y = iris.target\n",
"lrmc = LogisticRegression(\n",
" multi_class='multinomial',\n",
" solver='lbfgs',\n",
" C=100,\n",
" random_state=22\n",
")\n",
"lrmc.fit(X,y)"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
" 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
" 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
" 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
" 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
" 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
" 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
]
},
"execution_count": 96,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"y"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"x0, x1 = np.meshgrid(\n",
" np.linspace(3,8,100).reshape(-1,1),\n",
" np.linspace(0,6,100).reshape(-1,1)\n",
")\n",
"Xnew = np.c_[x0.ravel(), x1.ravel()]\n",
"yPred = lrmc.predict_proba(Xnew)"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10,4))\n",
"plt.plot(X[y==0,0], X[y==0,1],'.b',label='Setosa')\n",
"plt.plot(X[y==1,0], X[y==1,1],'+g',label='Versi')\n",
"plt.plot(X[y==2,0], X[y==2,1],'*m',label='Virgi')\n",
"zz=yPred[:,1].reshape(x0.shape)\n",
"contour=plt.contour(x0,x1,zz)\n",
"plt.clabel(contour, inline=1,fontsize=15)\n",
"plt.xlabel(\"Sepal Length\")\n",
"plt.ylabel(\"Sepal Width\")\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"yPred = lrmc.predict(Xnew)\n",
"plt.figure(figsize=(10,6))\n",
"plt.plot(X[y==0,0], X[y==0,1],'bs',label='Setosa')\n",
"plt.plot(X[y==1,0], X[y==1,1],'g^',label='Versi')\n",
"plt.plot(X[y==2,0], X[y==2,1],'*m',label='Virgi')\n",
"zz=yPred.reshape(x0.shape)\n",
"contour=plt.contourf(x0,x1,zz, cmap='jet', alpha=0.3)\n",
"plt.clabel(contour, inline=1,fontsize=15)\n",
"plt.xlabel(\"Sepal Length\")\n",
"plt.ylabel(\"Sepal Width\")\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax =plt.subplots(subplot_kw={\"projection\": \"3d\"})\n",
"surf = ax.plot_surface(x0,x1,zz, cmap='jet')\n",
"#ax.scatter(iris.data[:,0:1], iris.data[:,1:2], y, 'or')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}