Run
8361004

Run 8361004

Task 3954 (Supervised Classification) MagicTelescope Uploaded 31-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees146
mlr.classif.ranger(13)_mtry8
mlr.classif.ranger(13)_min.node.size27
mlr.classif.ranger(13)_sample.fraction0.496466114441864
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9315
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8726
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7173
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11129.0404
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1991
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.456
Cross-validation details (10-fold Crossvalidation)
Number of instances
19020
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8742
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8747
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.8747
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3057
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6401
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1247.7384
UserCPU time millis
629.733
UserCPU time millis testing
6.989
UserCPU time millis training
622.744