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A machine-learning library for Python. Use this tag for any on-topic question that (a) involves scikit-learn either as a critical part of the question or expected answer, & (b) is not just about how to use scikit-learn.
1
vote
Data preparation (preprocessing and data cleaning) before or after train-test split with sci...
Test set is supposed to be untouched until the final stage: test data insights should not affect our decisions since it simulates the data from the production stage. However, if we split it ourselves …
0
votes
Accepted
How to get the threshold from PrecisionRecallDisplay?
PrecisionRecallDisplay() is just a very basic wrapper for sklearn.metrics.precision_recall_curve(). The latter returns numpy arrays for precision, recall and thresholds, which allow easy vectorized ha …
2
votes
Converting nominal variables and ordinal variables in dataframe - categorical variables
So basically, your're dealing with unordered categories of high cardinality. Is some information loss acceptable?
If yes, you may use feature hashing or bitstrings. Otherwise leave one out variety of …