Run
8855585

Run 8855585

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.trees1199
mlr.classif.ranger(9)_mtry12
mlr.classif.ranger(9)_min.node.size70
mlr.classif.ranger(9)_sample.fraction0.993365649040788
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
0.9822
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9413
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8765
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3493.6907
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1286
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
0.9417
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9415
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9415
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2693
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2191
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4484
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1753.0705
UserCPU time millis
63.747
UserCPU time millis testing
1.875
UserCPU time millis training
61.872