Run
8652015

Run 8652015

Task 3 (Supervised Classification) kr-vs-kp Uploaded 14-12-2017 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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1792
mlr.classif.ranger(15)_mtry26
mlr.classif.ranger(15)_min.node.size37
mlr.classif.ranger(15)_sample.fraction0.877658429043368
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9992
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9862
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9724
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3033.5514
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0287
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9862
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9862
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9862
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0575
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1009
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.202
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1410.551
UserCPU time millis
29.13
UserCPU time millis testing
1.27
UserCPU time millis training
27.86