Run
8265456

Run 8265456

Task 145979 (Supervised Classification) spambase Uploaded 27-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1245
mlr.classif.ranger(9)_mtry41
mlr.classif.ranger(9)_min.node.size1002
mlr.classif.ranger(9)_sample.fraction0.796776587190106
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
0.9489
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8986
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7877
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2729.1538
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2108
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
0.8986
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8985
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8985
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4415
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2982
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6102
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1704.8099
UserCPU time millis
80.625
UserCPU time millis testing
1.65
UserCPU time millis training
78.975