Run
8717364

Run 8717364

Task 145878 (Supervised Classification) wdbc Uploaded 29-12-2017 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1242
mlr.classif.ranger(16)_mtry28
mlr.classif.ranger(16)_min.node.size33
mlr.classif.ranger(16)_sample.fraction0.575814671302214
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9875
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9542
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9017
Cross-validation details (10-fold Crossvalidation)
KB relative information score
466.3096
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0906
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9543
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9543
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9543
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1938
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1967
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4069
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1371.4835
UserCPU time millis
9.392
UserCPU time millis testing
0.191
UserCPU time millis training
9.201