Run
8295874

Run 8295874

Task 43 (Supervised Classification) spambase Uploaded 28-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees846
mlr.classif.ranger(13)_mtry35
mlr.classif.ranger(13)_min.node.size357
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.306785959913395
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.953
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9028
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7965
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2765.124
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2081
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
0.9028
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9028
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9028
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4358
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2919
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5974
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1308.6967
UserCPU time millis
157.02
UserCPU time millis testing
3.686
UserCPU time millis training
153.334