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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
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Why not use one hot encoding for the categorical features/variables
Good explanation!
Glad it was helpful!
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
Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
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