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sums22
  • Member for 1 year, 11 months
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7 votes
1 answer
2k views

Why you shouldn't upsample before cross validation

4 votes
1 answer
149 views

Why removing rows with NA values from the majority class improves model performance

3 votes
1 answer
651 views

Handling features with multiple values per instance in Python for Machine Learning model

1 vote
1 answer
2k views

Setting sparse=True in Scikit Learn OneHotEncoder does not reduce memory usage

1 vote
1 answer
2k views

Plotting multiple precision-recall curves in one plot

1 vote
4 answers
99 views

Visualising feature selection results for multiple classifiers and feature subset sizes

0 votes
1 answer
46 views

How to handle sparsely coded features in a dataframe

0 votes
1 answer
21 views

Handling missing values in medical data

0 votes
2 answers
98 views

What makes the validation set a good representative of the test set? [closed]

0 votes
1 answer
193 views

Different strategies for dealing with features with multiple values per sample in python machine learning models