0_feature_standar_rf
代码说明：
利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The model is trained by the original feature and two normalization features respectively, and the performance of the model is compared.)
文件列表：
0_feature_standar_rf, 0 , 2018-06-24
0_feature_standar_rf\0_test_rf.py, 2340 , 2018-06-24
0_feature_standar_rf\1_test_standar.py, 2802 , 2018-06-14
0_feature_standar_rf\3_data_standar.py, 1072 , 2018-06-12
0_feature_standar_rf\4_test_minmax_result.py, 1418 , 2018-06-12
0_feature_standar_rf\5_test_zscore_result.py, 1419 , 2018-06-12
0_feature_standar_rf\test_minmax.py, 4548 , 2018-06-11
0_feature_standar_rf\test_zscore.py, 4700 , 2018-06-11
0_feature_standar_rf\脚本说明.txt, 116 , 2018-06-13
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