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leonardo-melniski committed May 9, 2021
1 parent b50b629 commit a602062
Showing 1 changed file with 125 additions and 22 deletions.
147 changes: 125 additions & 22 deletions imersaodados3_aula5.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
"name": "imersaodados3_aula5.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyPNOCi/gjMiRmxoLnZM/WHs",
"authorship_tag": "ABX9TyOK8eb870wrq9dkJyUC8kBd",
"include_colab_link": true
},
"kernelspec": {
Expand Down Expand Up @@ -2400,29 +2400,66 @@
{
"cell_type": "code",
"metadata": {
"id": "RbUud6eMIYNk"
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "RbUud6eMIYNk",
"outputId": "ea436fbc-58e9-4843-bbb1-c22714febdb9"
},
"source": [
"modelo_rlogistica2 = LogisticRegression(solver='newton-cg')\n",
"modelo_rlogistica2.fit(x_treino, y_treino)\n",
"modelo_rlogistica2.score(x_teste, y_teste)"
],
"execution_count": null,
"outputs": []
"execution_count": 56,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0.686122191895864"
]
},
"metadata": {
"tags": []
},
"execution_count": 56
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "xhh-JjppIWKY"
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xhh-JjppIWKY",
"outputId": "45a28dcc-5053-4005-e35b-1f669e885fc7"
},
"source": [
"from sklearn.dummy import DummyClassifier\n",
"\n",
"modelo_dummy = DummyClassifier('most_frequent')\n",
"modelo_dummy.fit(x_treino, y_treino)\n",
"previsao_dummy = modelo_dummy.predict(x_teste)\n",
"accuracy_score(y_teste, previsao_dummy)"
"modelo_dummy.score(x_teste, y_teste)\n",
"# previsao_dummy = modelo_dummy.predict(x_teste)\n",
"# accuracy_score(y_teste, previsao_dummy)"
],
"execution_count": null,
"outputs": []
"execution_count": 60,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0.3464203233256351"
]
},
"metadata": {
"tags": []
},
"execution_count": 60
}
]
},
{
"cell_type": "markdown",
Expand All @@ -2446,19 +2483,50 @@
"x = dt_temporario.loc[:,'g-0':'g-10']\n",
"y = dt_temporario['composto'].map({'8b87a7a83': 0, '5628cb3ee': 1})"
],
"execution_count": null,
"execution_count": 61,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "g5tMa7IUInOf"
"colab": {
"base_uri": "https://localhost:8080/",
"height": 296
},
"id": "g5tMa7IUInOf",
"outputId": "dc9b8552-902e-45bd-90fe-5d7b0ef6b8f9"
},
"source": [
"sns.countplot(y=y)"
],
"execution_count": null,
"outputs": []
"execution_count": 62,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f8294463650>"
]
},
"metadata": {
"tags": []
},
"execution_count": 62
},
{
"output_type": "display_data",
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
Expand All @@ -2468,35 +2536,70 @@
"source": [
"x_treino, x_teste, y_treino, y_teste = train_test_split(x, y, test_size = 0.2, stratify=y,random_state=376) "
],
"execution_count": null,
"execution_count": 63,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "-WM5F_sxIqwg"
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-WM5F_sxIqwg",
"outputId": "ab232fd1-da08-4879-892e-181b26dc0753"
},
"source": [
"modelo_rlogistica2 = LogisticRegression()\n",
"modelo_rlogistica2.fit(x_treino, y_treino)\n",
"modelo_rlogistica2.score(x_teste, y_teste)"
],
"execution_count": null,
"outputs": []
"execution_count": 64,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0.9382716049382716"
]
},
"metadata": {
"tags": []
},
"execution_count": 64
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "7OW-CLXPIrZ3"
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "7OW-CLXPIrZ3",
"outputId": "8fd99114-dd65-4be8-8892-36c70e4d5a8d"
},
"source": [
"modelo_dummy = DummyClassifier('most_frequent')\n",
"modelo_dummy.fit(x_treino, y_treino)\n",
"previsao_dummy = modelo_dummy.predict(x_teste)\n",
"accuracy_score(y_teste, previsao_dummy)"
"modelo_dummy.score(x_teste, y_teste)\n",
"# previsao_dummy = modelo_dummy.predict(x_teste)\n",
"# accuracy_score(y_teste, previsao_dummy)"
],
"execution_count": null,
"outputs": []
"execution_count": 66,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0.5061728395061729"
]
},
"metadata": {
"tags": []
},
"execution_count": 66
}
]
}
]
}

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