Run
8855573

Run 8855573

Task 145979 (Supervised Classification) spambase Uploaded 29-01-2018 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.trees507
mlr.classif.ranger(9)_mtry33
mlr.classif.ranger(9)_min.node.size57
mlr.classif.ranger(9)_sample.fraction0.276824880763888
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
0.9718
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9283
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8492
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3325.6362
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1462
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
0.9289
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9287
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9287
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3061
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2431
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4975
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1715.8036
UserCPU time millis
21.747
UserCPU time millis testing
0.535
UserCPU time millis training
21.212