Run
8856997

Run 8856997

Task 145953 (Supervised Classification) kr-vs-kp Uploaded 30-01-2018 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.trees1940
mlr.classif.ranger(9)_mtry34
mlr.classif.ranger(9)_min.node.size45
mlr.classif.ranger(9)_sample.fraction0.37902185167186
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
0.9971
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9687
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9373
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2888.5295
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0525
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
0.9687
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9687
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9687
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1051
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1476
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2956
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1737.9395
UserCPU time millis
21.534
UserCPU time millis testing
1.411
UserCPU time millis training
20.123