Machine learning predicting data type using K nearest neighbors classifier and random forest classifier.
Runnable programs:
BaggingCombine.py -- Runs both the Random Forest (RF) classifier and K Nearest Neighbors (KNN) classifier, and uses bagging to combine them
RandomForest.py -- Runs the Random forest classifier on Bank Marketing dataset
RFdataProcessingStandardData.py -- Runs the Random forest classifier on standard
zhitanknn.py -- Processes the standard dataset and calls KNN classifier to show the accuracy and training time
Other supporting programs:
RF.py -- The Random forest classifier
knn.py -- The KNN classifier
knnDataProcessing.py -- Processes the bank data for KNN classifier