Run
8775764

Run 8775764

Task 146803 (Supervised Classification) credit-g Uploaded 04-01-2018 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.trees971
mlr.classif.ranger(16)_mtry17
mlr.classif.ranger(16)_min.node.size317
mlr.classif.ranger(16)_sample.fraction0.931146475020796
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
0.763
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.697
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2472
Cross-validation details (10-fold Crossvalidation)
KB relative information score
136.4398
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.357
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
0.7101
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8496
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4179
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9118
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1375.1889
UserCPU time millis
3.515
UserCPU time millis testing
0.435
UserCPU time millis training
3.08