Run
8315124

Run 8315124

Task 43 (Supervised Classification) spambase Uploaded 29-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees75
mlr.classif.ranger(13)_mtry17
mlr.classif.ranger(13)_min.node.size407
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.22536509023048
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
0.9561
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9074
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.806
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2416.9516
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2511
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
0.9074
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9074
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9074
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5257
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3066
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6274
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1245.4687
UserCPU time millis
7.397
UserCPU time millis testing
0.516
UserCPU time millis training
6.881