Run
8112672

Run 8112672

Task 145979 (Supervised Classification) spambase Uploaded 18-10-2017 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.trees1714
mlr.classif.ranger(9)_mtry16
mlr.classif.ranger(9)_min.node.size1415
mlr.classif.ranger(9)_sample.fraction0.980411299923435
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
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.907
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8048
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2557.6901
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2356
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
0.9069
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9072
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9072
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4932
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2962
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6062
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1854.4951
UserCPU time millis
33.142
UserCPU time millis testing
1.476
UserCPU time millis training
31.666