Run
8854900

Run 8854900

Task 145854 (Supervised Classification) nomao Uploaded 28-01-2018 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees12
mlr.classif.ranger(9)_mtry35
mlr.classif.ranger(9)_min.node.size15641
mlr.classif.ranger(9)_sample.fraction0.654099783836864
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
0.9123
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.858
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6509
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14809.5611
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2458
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8576
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8585
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.8585
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6024
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3276
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7252
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1782.2017
UserCPU time millis
4.512
UserCPU time millis testing
0.33
UserCPU time millis training
4.182