jameschenpochih / ibm-machine-learning-final-assignment

IBM-Machine-Learning-Final-Assignment

In this project, we practice classification algorithms that we learned in this course, such as KNN, Decision Tree, SVM and Logistic Regression. The data is loan_train.csv.

Conclusion Although Decision tree had shown a relatively good result in trainig ,but it is Logistic Regression that out-performs the other models in test . Decision tree model suffers from over-fitting

Report

Algorithm	Jaccard	F1-score	LogLoss
KNN	0.7407	0.7144	NA
Decision Tree	0.7592	0.7618	NA
SVM	0.7592	0.6959	NA
LogisticRegression	0.7777	0.7089	0.4947