Run
8795682

Run 8795682

Task 146012 (Supervised Classification) electricity Uploaded 19-01-2018 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.trees916
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size115
mlr.classif.ranger(9)_sample.fraction0.512206372851506
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
0.9103
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8274
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6451
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19421.979
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8293
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.829
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.829
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6131
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3573
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7229
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1727.044
UserCPU time millis
133.51
UserCPU time millis testing
12.223
UserCPU time millis training
121.287