In my machine-learning project, we can see that Random Forest and Decision Tree models have the highest score of 86.76, indicating they performed the best on this particular dataset.
KNN follows closely behind with a score of 84.74.
Logistic Regression, Linear SVC, Perceptron, Support Vector Machines, Stochastic Gradient Descent, and Naive Bayes have scores ranging from 72.28 to 80.36.