OpenML
8214013

Run 8214013

Task 145878 (Supervised Classification) wdbc Uploaded 23-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees295
mlr.classif.ranger(9)_mtry26
mlr.classif.ranger(9)_min.node.size64
mlr.classif.ranger(9)_sample.fraction0.597906105825677
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
0.9875
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9491
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8911
Cross-validation details (10-fold Crossvalidation)
KB relative information score
463.6724
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0924
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
0.9491
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.949
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.949
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1977
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1997
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.413
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1841.4601
UserCPU time millis
2.17
UserCPU time millis testing
0.182
UserCPU time millis training
1.988