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update lift in web docs
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rasbt committed Jul 20, 2017
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11 changes: 1 addition & 10 deletions docs/sources/user_guide/evaluate/lift_score.ipynb
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"classification model are better than randomly-generated predictions.\n",
"\n",
"The in terms of True Positives (TP), True Negatives (TN),\n",
"False Positives (TP), and False Negatives (FN), the lift score is\n",
"False Positives (FP), and False Negatives (FN), the lift score is\n",
"computed as:\n",
"[ TP/(TP+FN) ] / [ (TP+FP) / (TP+TN+FP+FN) ]\n",
"\n",
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" s = f.read() \n",
"print(s)"
]
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