Network Activity Anamoly Detection

First i have loaded the csv file data then by separating features and target them to preprocess the data and mapping the values in train_data for 'normal':0 and for 'neptune':1 then train the RandomForestClassifier model to print accuracy now predict on test data and saving the prediction