Run
8160660

Run 8160660

Task 145979 (Supervised Classification) spambase Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees614
mlr.classif.ranger(9)_mtry29
mlr.classif.ranger(9)_min.node.size44
mlr.classif.ranger(9)_sample.fraction0.658549934881739
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9787
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9371
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8678
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3498.2044
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1265
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
0.9375
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9374
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9374
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.265
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2251
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4607
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1720.9528
UserCPU time millis
53.609
UserCPU time millis testing
1.45
UserCPU time millis training
52.159