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Results tagged with machine-learning
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user 42810
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
5
votes
Use of nested cross-validation
With a held-out test set clf.fit produces one unbiased estimate while nested cross-validation with cross_val_score produces several unbiased estimates. The advantage of nested cross-validation is a be …
- 1,580
9
votes
2
answers
16k
views
How to prepare interactions of categorical variables in scikit-learn?
What is the best way to prepare interactions of categorical features before fitting with scikit-learn?
With statsmodels I could conveniently say in R-style smf.ols(formula = 'depvar ~ C(var1)*C(var2) …
- 1,580
75
votes
1
answer
71k
views
How to split the dataset for cross validation, learning curve, and final evaluation?
What is an appropriate strategy for splitting the dataset?
I ask for feedback on the following approach (not on the individual parameters like test_size or n_iter, but if I used X, y, X_train, y_trai …
- 1,580