Run
8703378

Run 8703378

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 27-12-2017 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.trees726
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size170
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.697617227211595
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
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
0.9896
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9282
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8388
Cross-validation details (10-fold Crossvalidation)
KB relative information score
807.7321
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.294
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
0.9343
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9299
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9299
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.649
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3306
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6947
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1366.6362
UserCPU time millis
3.984
UserCPU time millis testing
0.303
UserCPU time millis training
3.681