All Questions
2 questions
1vote
1answer
987views
SVR - RMSE is much worse after normalizing the data
I'm building a model using a custom kernel SVR that looks into a few of my dataframe's features and checks the proximity/distance between each pair of datapoints. The features are weigthed and the ...
1vote
1answer
16kviews
NotFittedError says this StandardScaler instance is not fitted yet while using inverse_transform() [closed]
I have a dataset and i have used Support Vector Regression.So i needed to use StandardScaler module from sklearn.preprocessing fro Feature Scaling. After training my model when i came to predict it ...