Binary Classification problem

I have first done feature transformation by replacing missing values with mean or median. then PCA is applied for dimentionality reduction. After that decision tree, Random forest, Naive bayes and XGboost are applied for classification. then at the end , using ensembling of Naive Bayes and Decision Tress prediction of test data is obtained with best F1 score.