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Commit 69e4777a authored by 264af2e9a1e4e844f861df089a5604e3's avatar 264af2e9a1e4e844f861df089a5604e3
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module3/exo3/exerciceTabac.ipynb
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...@@ -2651,7 +2651,7 @@ ...@@ -2651,7 +2651,7 @@
"Model: Logit Df Residuals: 580\n", "Model: Logit Df Residuals: 580\n",
"Method: MLE Df Model: 1\n", "Method: MLE Df Model: 1\n",
"Date: Thu, 31 Oct 2024 Pseudo R-squ.: 0.2492\n", "Date: Thu, 31 Oct 2024 Pseudo R-squ.: 0.2492\n",
"Time: 21:26:13 Log-Likelihood: -240.21\n", "Time: 23:20:10 Log-Likelihood: -240.21\n",
"converged: True LL-Null: -319.94\n", "converged: True LL-Null: -319.94\n",
" LLR p-value: 1.477e-36\n", " LLR p-value: 1.477e-36\n",
"==============================================================================\n", "==============================================================================\n",
...@@ -2715,7 +2715,7 @@ ...@@ -2715,7 +2715,7 @@
"Model: Logit Df Residuals: 730\n", "Model: Logit Df Residuals: 730\n",
"Method: MLE Df Model: 1\n", "Method: MLE Df Model: 1\n",
"Date: Thu, 31 Oct 2024 Pseudo R-squ.: 0.4304\n", "Date: Thu, 31 Oct 2024 Pseudo R-squ.: 0.4304\n",
"Time: 21:26:13 Log-Likelihood: -259.54\n", "Time: 23:20:10 Log-Likelihood: -259.54\n",
"converged: True LL-Null: -455.62\n", "converged: True LL-Null: -455.62\n",
" LLR p-value: 2.808e-87\n", " LLR p-value: 2.808e-87\n",
"==============================================================================\n", "==============================================================================\n",
...@@ -2796,7 +2796,7 @@ ...@@ -2796,7 +2796,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 30, "execution_count": 28,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
......
module4/src_Python3_challenger.ipynb 0 → 100644
View file @ 69e4777a
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