Run
8747797

Run 8747797

Task 3889 (Supervised Classification) sylva_agnostic 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.trees1426
mlr.classif.ranger(9)_mtry14
mlr.classif.ranger(9)_min.node.size153
mlr.classif.ranger(9)_sample.fraction0.592224434018135
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
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.983
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8452
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5532.6306
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0487
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9838
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.984
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.984
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4211
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1231
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5121
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1727.044
UserCPU time millis
137.724
UserCPU time millis testing
4.42
UserCPU time millis training
133.304