Run
7983722

Run 7983722

Task 145979 (Supervised Classification) spambase Uploaded 17-10-2017 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.trees1080
mlr.classif.ranger(9)_mtry32
mlr.classif.ranger(9)_min.node.size994
mlr.classif.ranger(9)_sample.fraction0.779168485570699
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
0.9509
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8998
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7904
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2694.903
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2158
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8999
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8998
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8998
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4518
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2973
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6084
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.9121
UserCPU time millis
41.35
UserCPU time millis testing
1.035
UserCPU time millis training
40.315