Run
8560972

Run 8560972

Task 145979 (Supervised Classification) spambase Uploaded 26-11-2017 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.trees1463
mlr.classif.ranger(16)_mtry20
mlr.classif.ranger(16)_min.node.size742
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.501770707056858
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
0.9557
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9036
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7979
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2603.671
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2291
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
0.9035
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9037
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9037
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4798
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2961
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.606
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1366.3065
UserCPU time millis
30.537
UserCPU time millis testing
1.59
UserCPU time millis training
28.947