Project 1

Logistic Regression Accuracy : 0.7951219512195122
Decision Tree Accuracy : 0.9853658536585366
Random Forest Accuracy : 0.9853658536585366
SVM Accuracy : 0.8048780487804879
KNN Accuracy : 0.9853658536585366

These are the Five model algorithm Decision Tree, Random Forest, and KNN models are 

performing exceptionally well based on the accuracy metric you've provided, each 

achieving around 98.54% accuracy. However, it's essential to validate these results with additional metrics.