Run
8557027

Run 8557027

Task 145979 (Supervised Classification) spambase Uploaded 24-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees469
mlr.classif.ranger(16)_mtry16
mlr.classif.ranger(16)_min.node.size1391
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.737334100902081
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.954
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9044
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7994
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2357.7009
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2578
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
0.9043
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9046
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9046
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5399
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3111
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6366
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1230.3328
UserCPU time millis
7.642
UserCPU time millis testing
0.397
UserCPU time millis training
7.245