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sums22
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8 votes
1 answer
3k views

Why you shouldn't upsample before cross validation

4 votes
1 answer
219 views

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

3 votes
1 answer
932 views

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

1 vote
1 answer
3k views

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

1 vote
1 answer
4k views

Plotting multiple precision-recall curves in one plot

1 vote
1 answer
57 views

What is the Purpose of Feature Selection

1 vote
4 answers
136 views

Visualising feature selection results for multiple classifiers and feature subset sizes

0 votes
1 answer
181 views

Plotting a no-skill model in a precision-recall curve

0 votes
0 answers
19 views

Understanding Cost-sensitive Decision Trees Behaviour

0 votes
1 answer
49 views

How to handle sparsely coded features in a dataframe

0 votes
1 answer
37 views

Handling missing values in medical data

0 votes
2 answers
184 views

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

0 votes
1 answer
302 views

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