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mooc-rr
Commit d65ba61b authored by 0a35d458c4dfeaae90cc26c29bebf511's avatar 0a35d458c4dfeaae90cc26c29bebf511
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Dans la conclusion met la capacité, courte distance, sans segment en Mo/s.

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module3/exo3/exercice.ipynb
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"text": [ "text": [
"Lu 44413 lignes en 0.183 sec\n" "Lu 44413 lignes en 0.190 sec\n"
] ]
} }
], ],
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"execution_count": 8, "execution_count": 8,
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{ {
"data": { "data": {
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"execution_count": 12, "execution_count": 12,
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{ {
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"<matplotlib.axes._subplots.AxesSubplot at 0x7f6f5e900c88>" "<matplotlib.axes._subplots.AxesSubplot at 0x7f9c0a75a0f0>"
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"execution_count": 13, "execution_count": 13,
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" <th>Date:</th> <td>Fri, 12 Jun 2020</td> <th> Prob (F-statistic):</th> <td>0.000123</td> \n", " <th>Date:</th> <td>Fri, 12 Jun 2020</td> <th> Prob (F-statistic):</th> <td>0.000123</td> \n",
"</tr>\n", "</tr>\n",
"<tr>\n", "<tr>\n",
" <th>Time:</th> <td>16:56:53</td> <th> Log-Likelihood: </th> <td>-1.0715e+05</td>\n", " <th>Time:</th> <td>17:48:17</td> <th> Log-Likelihood: </th> <td>-1.0715e+05</td>\n",
"</tr>\n", "</tr>\n",
"<tr>\n", "<tr>\n",
" <th>No. Observations:</th> <td> 32667</td> <th> AIC: </th> <td>2.143e+05</td> \n", " <th>No. Observations:</th> <td> 32667</td> <th> AIC: </th> <td>2.143e+05</td> \n",
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"Model: OLS Adj. R-squared: 0.000\n", "Model: OLS Adj. R-squared: 0.000\n",
"Method: Least Squares F-statistic: 14.75\n", "Method: Least Squares F-statistic: 14.75\n",
"Date: Fri, 12 Jun 2020 Prob (F-statistic): 0.000123\n", "Date: Fri, 12 Jun 2020 Prob (F-statistic): 0.000123\n",
"Time: 16:56:53 Log-Likelihood: -1.0715e+05\n", "Time: 17:48:17 Log-Likelihood: -1.0715e+05\n",
"No. Observations: 32667 AIC: 2.143e+05\n", "No. Observations: 32667 AIC: 2.143e+05\n",
"Df Residuals: 32665 BIC: 2.143e+05\n", "Df Residuals: 32665 BIC: 2.143e+05\n",
"Df Model: 1 \n", "Df Model: 1 \n",
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"data": { "data": {
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"execution_count": 17, "execution_count": 17,
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" <th>Date:</th> <td>Fri, 12 Jun 2020</td> <th> Prob (F-statistic):</th> <td>0.0442</td> \n", " <th>Date:</th> <td>Fri, 12 Jun 2020</td> <th> Prob (F-statistic):</th> <td>0.0442</td> \n",
"</tr>\n", "</tr>\n",
"<tr>\n", "<tr>\n",
" <th>Time:</th> <td>16:56:54</td> <th> Log-Likelihood: </th> <td> -50605.</td> \n", " <th>Time:</th> <td>17:48:18</td> <th> Log-Likelihood: </th> <td> -50605.</td> \n",
"</tr>\n", "</tr>\n",
"<tr>\n", "<tr>\n",
" <th>No. Observations:</th> <td> 11369</td> <th> AIC: </th> <td>1.012e+05</td>\n", " <th>No. Observations:</th> <td> 11369</td> <th> AIC: </th> <td>1.012e+05</td>\n",
...@@ -1938,7 +1938,7 @@ ...@@ -1938,7 +1938,7 @@
"Model: OLS Adj. R-squared: 0.000\n", "Model: OLS Adj. R-squared: 0.000\n",
"Method: Least Squares F-statistic: 4.050\n", "Method: Least Squares F-statistic: 4.050\n",
"Date: Fri, 12 Jun 2020 Prob (F-statistic): 0.0442\n", "Date: Fri, 12 Jun 2020 Prob (F-statistic): 0.0442\n",
"Time: 16:56:54 Log-Likelihood: -50605.\n", "Time: 17:48:18 Log-Likelihood: -50605.\n",
"No. Observations: 11369 AIC: 1.012e+05\n", "No. Observations: 11369 AIC: 1.012e+05\n",
"Df Residuals: 11367 BIC: 1.012e+05\n", "Df Residuals: 11367 BIC: 1.012e+05\n",
"Df Model: 1 \n", "Df Model: 1 \n",
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"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"Les données sont déjà présentes en local.\n", "Les données sont déjà présentes en local.\n",
"Lu 6887 lignes en 0.030 sec\n" "Lu 6887 lignes en 0.044 sec\n"
] ]
} }
], ],
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"data": { "data": {
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"execution_count": 23, "execution_count": 23,
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{ {
"data": { "data": {
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"<matplotlib.axes._subplots.AxesSubplot at 0x7f6f5e863588>" "<matplotlib.axes._subplots.AxesSubplot at 0x7f9c0a282a90>"
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"execution_count": 24, "execution_count": 24,
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{ {
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"<matplotlib.axes._subplots.AxesSubplot at 0x7f6f5e3f1e10>" "<matplotlib.axes._subplots.AxesSubplot at 0x7f9c0a5068d0>"
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"execution_count": 25, "execution_count": 25,
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{ {
"data": { "data": {
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"execution_count": 26, "execution_count": 26,
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" <th>Date:</th> <td>Fri, 12 Jun 2020</td> <th> Prob (F-statistic):</th> <td> 0.816</td> \n", " <th>Date:</th> <td>Fri, 12 Jun 2020</td> <th> Prob (F-statistic):</th> <td> 0.816</td> \n",
"</tr>\n", "</tr>\n",
"<tr>\n", "<tr>\n",
" <th>Time:</th> <td>16:56:55</td> <th> Log-Likelihood: </th> <td> -15946.</td> \n", " <th>Time:</th> <td>17:48:20</td> <th> Log-Likelihood: </th> <td> -15946.</td> \n",
"</tr>\n", "</tr>\n",
"<tr>\n", "<tr>\n",
" <th>No. Observations:</th> <td> 5015</td> <th> AIC: </th> <td>3.190e+04</td>\n", " <th>No. Observations:</th> <td> 5015</td> <th> AIC: </th> <td>3.190e+04</td>\n",
...@@ -2335,7 +2335,7 @@ ...@@ -2335,7 +2335,7 @@
"Model: OLS Adj. R-squared: -0.000\n", "Model: OLS Adj. R-squared: -0.000\n",
"Method: Least Squares F-statistic: 0.05442\n", "Method: Least Squares F-statistic: 0.05442\n",
"Date: Fri, 12 Jun 2020 Prob (F-statistic): 0.816\n", "Date: Fri, 12 Jun 2020 Prob (F-statistic): 0.816\n",
"Time: 16:56:55 Log-Likelihood: -15946.\n", "Time: 17:48:20 Log-Likelihood: -15946.\n",
"No. Observations: 5015 AIC: 3.190e+04\n", "No. Observations: 5015 AIC: 3.190e+04\n",
"Df Residuals: 5013 BIC: 3.191e+04\n", "Df Residuals: 5013 BIC: 3.191e+04\n",
"Df Model: 1 \n", "Df Model: 1 \n",
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{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f6f5c95f7b8>" "<matplotlib.axes._subplots.AxesSubplot at 0x7f9c087afe80>"
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}, },
"execution_count": 32, "execution_count": 32,
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}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 36, "execution_count": 33,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
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}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 37, "execution_count": 34,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
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}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 38, "execution_count": 35,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
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"\n", "\n",
"| Distance | Segmentation | Latence | Capacité |\n", "| Distance | Segmentation | Latence | Capacité |\n",
"|:-:|:-:|:-:|:-:|\n", "|:-:|:-:|:-:|:-:|\n",
"| Courte | Non | 3.3 ms| 24.52 Mbps |\n", "| Courte | Non | 3.3 ms| 3.06 Mo/s |\n",
"| Courte | Oui | 5.3 ms | 0.39 Mo/s |\n", "| Courte | Oui | 5.3 ms | 0.39 Mo/s |\n",
"| Longue | Non | 110.8 ms | 4.03 Mo/s |\n", "| Longue | Non | 110.8 ms | 4.03 Mo/s |\n",
"| Longue | Oui | 111.3 ms | 2.66 Mo/s |\n", "| Longue | Oui | 111.3 ms | 2.66 Mo/s |\n",
......
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