Run
8790299

Run 8790299

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 15-01-2018 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.trees685
mlr.classif.ranger(16)_mtry63
mlr.classif.ranger(16)_min.node.size218
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.784913035482168
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
0.9984
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9908
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9194
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9279.7589
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0277
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9908
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.991
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.991
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2397
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0931
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3874
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1370.6427
Total cost
UserCPU time millis
425.938
UserCPU time millis testing
2.204
UserCPU time millis training
423.734