Run
7994404

Run 7994404

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 17-10-2017 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1443
mlr.classif.ranger(9)_mtry10
mlr.classif.ranger(9)_min.node.size210
mlr.classif.ranger(9)_sample.fraction0.71720218078699
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9969
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9932
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1499.2719
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1292
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9969
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9969
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9969
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2853
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1625
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3415
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1827.8311
UserCPU time millis
13.309
UserCPU time millis testing
0.734
UserCPU time millis training
12.575