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Hi, I love your videos classes but I must say that you committed a big mistake in this video, you choose KNN model instead LR because you said that KKN have less error but your metric is Accuracy, so as much higher is better, in this case, is better choice LR model

Why not use one hot encoding for the categorical features/variables

Good explanation!

cross validation works better on small datasets than train_test_split right?

Hello Sir, thanks for the video, But why is 0.77 accuracy better than 0.79