Run
8787015

Run 8787015

Task 145677 (Supervised Classification) Bioresponse Uploaded 12-01-2018 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.trees550
mlr.classif.ranger(9)_mtry903
mlr.classif.ranger(9)_min.node.size57
mlr.classif.ranger(9)_sample.fraction0.124573925836012
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
0.8309
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7659
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5278
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1246.6738
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3486
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7661
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7665
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7665
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7022
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4085
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.82
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1767.3871
UserCPU time millis
257.767
UserCPU time millis testing
1.255
UserCPU time millis training
256.512