Train_test_selected_feature
收藏kaggle2021-10-06 更新2024-03-08 收录
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2021-10-06
相关数据集
Feature Selection training
kaggle2022-07-22 更新00
Forward feature functions selection with 10 train/test splits.
Mean: averages over the ten cross-validated scores and the ten validation scores. The cross-validated score is the mean of AUC scores obtained when cross-validating the training set of a run. The vali
NIAID Data Ecosystem20
Forward feature functions selection with 10 train/test splits of the SPX dataset.
In bold, the most frequent feature function (without consideration of the window size parameters) of each iteration. Mean: averages over the ten cross-validated scores and the ten verification scores.
Figshare2015-12-02 更新00
Forward feature functions selection with 10 train/test splits.
Mean: averages over the ten cross-validated scores and the ten validation scores. The cross-validated score is the mean of AUC scores obtained when cross-validating the training set of a run. The vali
Figshare2015-12-02 更新00
Number of train-test cycles in which feature was selected for the classifier.
Number of train-test cycles in which feature was selected for the classifier.
NIAID Data Ecosystem30
