Run
8683174

Run 8683174

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.trees461
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size49
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.443031245772727
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
0.7008
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
16.3287
Cross-validation details (10-fold Crossvalidation)
F measure
0.7662
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0461
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2088.2526
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2607
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
0.8033
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.834
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.834
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9308
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.359
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9592
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1848.8886
Total cost
652300
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
186.834
UserCPU time millis testing
6.739
UserCPU time millis training
180.095