Exploration of classifiers in predicting the subscription of a term deposit exploring areas such as age, job, etc.
Testing 4 classifiers: CTree, J48, Linear Regression, kNN
Classifiers will be measured on these metrics: accuracy, error %, precisio, recall, F-score
Train and split test set
(Format: Accuracy, Error rate, precision, recall, F-Score] Results:
CTree: 87%, 13%, 58%, 50%, 54%
J48: 87%, 13%, 58%, 45%, 51%
Linear Regression: 86%, 14%, 64%, 9%, 15%
kNN: 86%, 14%, 54%, 25%, 34%
CTree Win