You may use these classifiers -
*   Naive Bayes Algorithm
*   Decision Tree Algorithm
*    KNN
*    LogisticRegression

In order to evaluate these classifiers, please show
*    Accuracy score

You may also practice by using
*    Cross-Validation Score
*    Confusion Matrix
*    Precision Score
*    Recall Score
*    F1 Score

Try to improve your model's accuracy by performing Feature Engineering and Tuning your parameters.
Try to add each of the categorical features to the model, by One-hot encoding.
Try removing some of your numerical feature that has a low correlation coefficient.

Try to get: an accuracy score of at least 0.68