Run
8746346

Run 8746346

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 30-12-2017 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.trees1539
mlr.classif.ranger(9)_mtry696
mlr.classif.ranger(9)_min.node.size1363
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.315854080487043
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
0.499
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7953
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2893
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2408
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2409
Cross-validation details (10-fold Crossvalidation)
Number of instances
3279
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7396
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.86
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9994
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1733.7613
UserCPU time millis
7.312
UserCPU time millis testing
1.153
UserCPU time millis training
6.159