Run
8677414

Run 8677414

Task 7295 (Supervised Classification) Click_prediction_small Uploaded 25-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees85
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size840
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.118446152377874
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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.

21 Evaluation measures

Area under ROC curve
0.6779
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
16.6246
Cross-validation details (10-fold Crossvalidation)
F measure
0.76
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0201
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2941.1854
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.266
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
0.8082
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8328
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8328
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9497
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3634
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.971
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1889.5419
Total cost
664120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
9.409
UserCPU time millis testing
0.37
UserCPU time millis training
9.039