In machine learning, this is the process of selecting a subset of most relevant features to construction your data model.
I'm getting the following error when performing recursive feature selection with cross-validation: Traceback (most recent call last): File "/Users/.../srl/…
python scikit-learn feature-selectionI have performed a PCA analysis over my original dataset and from the compressed dataset transformed by the PCA I …
python machine-learning scikit-learn pca feature-selectionI'd like to ask everyone a question about how correlated features (variables) affect the classification accuracy of machine learning algorithms. …
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python scikit-learn decision-tree feature-selectionI have a data-set that contains among other variables the time-stamp of the transaction in the format 26-09-2017 15:29:32. I …
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python r classification feature-selection xgboostI'm trying to classify some EEG data using a logistic regression model (this seems to give the best classification of …
scikit-learn feature-selectionI do not understand which is the difference between varImp function (caret package) and importance function (randomForest package) for a …
r random-forest r-caret feature-selectionI'm trying to preform recursive feature elimination using scikit-learn and a random forest classifier, with OOB ROC as the method …
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java data-structures feature-extraction feature-selection computation