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Usuwanie obserwacji odstających

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Paweł Skórzewski 2022-03-25 10:08:25 +01:00
parent 1f98b6813c
commit 44ae9e8b11
1 changed files with 20 additions and 17 deletions
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37
wyk/04_Metody_ewaluacji.ipynb
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@ -261,7 +261,9 @@
"### Metryki dla zadań regresji\n",
"\n",
"Dla zadań regresji możemy zastosować np.:\n",
" * błąd średniokwadratowy (*root-mean-square error*, RMSE):\n",
" * błąd średniokwadratowy (*mean-square error*, MSE):\n",
" $$ \\mathrm{MSE} \\, = \\, \\frac{1}{m} \\sum_{i=1}^{m} \\left( \\hat{y}^{(i)} - y^{(i)} \\right)^2 $$\n",
" * pierwiastek z błędu średniokwadratowego (*root-mean-square error*, RMSE):\n",
" $$ \\mathrm{RMSE} \\, = \\, \\sqrt{ \\frac{1}{m} \\sum_{i=1}^{m} \\left( \\hat{y}^{(i)} - y^{(i)} \\right)^2 } $$\n",
" * średni błąd bezwzględny (*mean absolute error*, MAE):\n",
" $$ \\mathrm{MAE} \\, = \\, \\frac{1}{m} \\sum_{i=1}^{m} \\left| \\hat{y}^{(i)} - y^{(i)} \\right| $$"
@ -293,7 +295,7 @@
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@ -627,7 +629,7 @@
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@ -644,7 +646,7 @@
"<function __main__.interactive_classification(highlight)>"
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@ -1185,9 +1187,10 @@
"# Odrzućmy obserwacje odstające\n",
"alldata_no_outliers = [\n",
" (index, item) for index, item in alldata.iterrows() \n",
" if item.price > 100 and item.sqrMetres > 10]\n",
" if item.price > 10000 and item.sqrMetres < 1000]\n",
"\n",
"alldata_no_outliers = alldata.loc[(alldata['price'] > 100) & (alldata['sqrMetres'] > 100)]"
"# Alternatywnie można to zrobić w następujący sposób\n",
"alldata_no_outliers = alldata.loc[(alldata['price'] > 10000) & (alldata['sqrMetres'] < 1000)]"
]
},
{