Machine Learning, Data Science, Data Scientist, Algorithms, Python.
random_state=1) lr_model=LogisticRegression() d_model=d_model.fit(x_train,y_train) r_model=r_model.fit(x_train,y_train) lr_model=lr_model.fit(x_train,y_train) dpred=d_model.predict(x_val) rpred=r_model.predict(x_val) lrpred=lr_model.predict(x_val) Finally, we will predict the test data with our