New answers tagged multiclass-classification
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When should I do train test split and feature selection if my dataset is unbalanced?
Given Problem :-
This problem is about building a machine learning model to predict ECG signal quality from imbalanced data, where feature selection, data ...
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When should I do train test split and feature selection if my dataset is unbalanced?
Train/test split should be done before feature selection so that the selection of features for the model is independent of the test set (therefore, you can test the quality of the feature selection as ...
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Analyzing Range of Features for Classification
You are essentially trying to find the decision boundaries for the 5 outcomes of your ML model. Lets say you have n features, the boundaries will be n-dimensional polygons. As the amount of features ...
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