在测试集上不变。SMOTE for Imbalanced Classification with Python (machinelearningmastery.com)...
原文地址:https://machinelearningmastery.com/load-csv-machine-learning-data-weka/ 010 SMOTE算法 SMOTE算法,即Synthetic Minority Oversampling Technique合成少数类过采样技术,这是一种过采样的方法。 01 WEKA的使用指南 “借着年终总结,回顾个好用的数据挖掘工具。” WEKA是一个貌似比较小众的数据挖掘工具,在应用...
https://machinelearningmastery.com/smote-oversampling-for-imbalanced-classification/ 4. https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.over_sampling.SMOTE.html 5. https://www.kite.com/blog/python/smote-python-imbalanced-learn-for-oversampling/ 6. https://im...
Pclass:16Sex:7IsAlone:2Title:12IsCabin:2AgeBin:4FareBin:4 There are new values being created by using SMOTE, this was also the case with under_sampling new values were created. These new values are not present in the test dataset. Example: X_train-Pclass1-20,2-15,3-40X_res-Pcla...