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@lorinc
Created June 17, 2019 18:50
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heart.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "heart.ipynb",
"version": "0.3.2",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/lorinc/0d6cc9074aa3b5eadb643f6208dfc10e/heart.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"id": "W3yekc65O0vw",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 390
},
"outputId": "176145c6-679e-4f9e-95c5-41135ffe0c89"
},
"source": [
"import numpy as np\n",
"from sklearn import svm\n",
"from matplotlib import pyplot as plt\n",
"\n",
"group1 = [[0.067, 0.21], [0.092, 0.21], \n",
" [0.294, 0.445], [0.227, 0.521], [0.185, 0.597], \n",
" [0.185, 0.689], [0.235, 0.748], [0.319, 0.773], \n",
" [0.387, 0.739], [0.437, 0.672], [0.496, 0.739],\n",
" [0.571, 0.773], [0.639, 0.765], [0.765, 0.924],\n",
" [0.807, 0.933], [0.849, 0.941]]\n",
"group2 = [[0.118, 0.143], [0.118, 0.176], \n",
" [0.345, 0.378], [0.395, 0.319], [0.437, 0.261],\n",
" [0.496, 0.328], [0.546, 0.395], [0.605, 0.462],\n",
" [0.655, 0.529], [0.697, 0.597], [0.706, 0.664],\n",
" [0.681, 0.723], [0.849, 0.798], [0.857, 0.849],\n",
" [0.866, 0.899]]\n",
"\n",
"X = np.array(group1 + group2)\n",
"y = np.append(\n",
" np.full(len(group1),0), \n",
" np.full(len(group2),1))\n",
"\n",
"clf = (\n",
" svm.SVC(\n",
" kernel=\"linear\",\n",
" class_weight={0:16, 1:15}) #classes are not balanced\n",
" .fit(X, y))\n",
"\n",
"a = - clf.coef_[0][0] / clf.coef_[0][1]\n",
"b = - clf.intercept_[0] / clf.coef_[0][1]\n",
"\n",
"xx = np.linspace(0,1)\n",
"yy = a * xx + b\n",
"\n",
"f, ax = plt.subplots(figsize=(8, 6))\n",
"ax.plot(xx, yy)\n",
"ax.scatter(X[:,0], X[:,1], c=y)\n",
"ax.set_title('y = %f * x + %f' % (a, b))\n",
"f.show()"
],
"execution_count": 1,
"outputs": [
{
"output_type": "display_data",
"data": {
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LB3an/xXMAJ5cD4t/Wsba1A206dnykOtn5/n4x6fL+PiPrfRtUYuxw3vQqEbp91/VKZxF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\ni4iIhIzCWUREJGQUziIiIiHzf4KiCzy8g2PPAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
}
]
}
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