Run
8772335

Run 8772335

Task 146803 (Supervised Classification) credit-g Uploaded 03-01-2018 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees932
mlr.classif.ranger(16)_mtry20
mlr.classif.ranger(16)_min.node.size12
mlr.classif.ranger(16)_sample.fraction0.959078758722171
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
0.7883
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7566
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4038
Cross-validation details (10-fold Crossvalidation)
KB relative information score
212.6841
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.326
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7557
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.767
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.767
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.776
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8811
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1366.6642
UserCPU time millis
13.834
UserCPU time millis testing
0.59
UserCPU time millis training
13.244