guyyos
boates
/ testClassificationModel.py
Last active
January 16, 2019 01:37
For running sklearn classification algorithms easily on pandas data frame. Also perform tests on model accuracy.
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| def splitData(df, trainPerc=0.6, cvPerc=0.2, testPerc=0.2): | |
| """ | |
| return: training, cv, test | |
| (as pandas dataframes) | |
| params: | |
| df: pandas dataframe | |
| trainPerc: float | percentage of data for trainin set (default=0.6 | |
| cvPerc: float | percentage of data for cross validation set (default=0.2) | |
| testPerc: float | percentage of data for test set (default=0.2) | |
| (trainPerc + cvPerc + testPerc must equal 1.0) |