Machine-Learning-Classification-Model

Software Used: Google Collab notebook

ML Models Used:

1. Logistic Regression
2. KNN Classification
3. SVM Classifier with linear and rbf kernel

Result: Logistic Regression has accuracy of 63%, KNN has accuracy of 92%, SVM has accuracy of 63%. Comparing all accuracies, we can conclude that KNN has the highest Accuracy of 92%.