Run
8690035

Run 8690035

Task 145979 (Supervised Classification) spambase Uploaded 26-12-2017 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.trees73
mlr.classif.ranger(16)_mtry40
mlr.classif.ranger(16)_min.node.size11
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.246235921001062
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
0.9755
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9327
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8586
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3505.8652
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1246
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
0.9332
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9331
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9331
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2608
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2302
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4712
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1383.023
UserCPU time millis
4.788
UserCPU time millis testing
0.139
UserCPU time millis training
4.649