Run
8857414

Run 8857414

Task 9977 (Supervised Classification) nomao Uploaded 30-01-2018 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.trees313
mlr.classif.ranger(9)_mtry80
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_sample.fraction0.645673999725841
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
0.9935
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9675
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9201
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29708.1643
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0598
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
0.9674
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9675
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9675
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1466
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.16
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3542
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1736.4936
UserCPU time millis
993.19
UserCPU time millis testing
3.779
UserCPU time millis training
989.411