There is a large variety of classifiers which you can try to find the one which is best suitable to your need. I can suggest few of these popular classifiers but there is no hard rule to determine which one will work best in your case, you have to try a few of them to find the most suitable one and then fine-tune (hyper-parameter tuning) it to your problem. Following is a list of them:

Classification Ensemble

Random Forest

XGBoost (Gradient Boosting)

Artificial Neural Networks

K-NN

Decision Tree

Discriminant Analysis

Ensemble learning is a powerful approach and you can even design heterogeneous ensembles by combining different classification algorithms to boost your performance.

Thank you Nisar Ahmed

I request you to suggest supervised learning based classifiers Nisar Ahmed

Try XGBoost (Gradient Boosting) or other classification ensemble. They are the best choice in my experience.

Thank you Nisar

You can try the following:

Ensemble baggage tree

Weighted KNN

Fine KNN

Decision Trees

And the most useful is Neural Network

thank you Muhammad