Run
1855770

Run 1855770

Task 14971 (Supervised Classification) Click_prediction_small Uploaded 27-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(7)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(7)_num.trees93
mlr.classif.ranger(7)_mtry7
mlr.classif.ranger(7)_replaceFALSE
mlr.classif.ranger(7)_sample.fraction0.533670692867599
mlr.classif.ranger(7)_respect.unordered.factorsTRUE
mlr.classif.ranger(7)_num.threads1
mlr.classif.ranger(7)_verboseFALSE
mlr.classif.ranger(7)_openml.seed1
mlr.classif.ranger(7)_openml.kindMersenne-Twister
mlr.classif.ranger(7)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.6766
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7772
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0961
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-3866.0266
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2612
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7823
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8312
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8312
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9323
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3646
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9742
Cross-validation details (10-fold Crossvalidation)