Run
8115010

Run 8115010

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.trees241
mlr.classif.ranger(9)_mtry44
mlr.classif.ranger(9)_min.node.size80
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.840665585664101
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9764
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9348
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8629
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3520.8393
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1219
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
0.935
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.935
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.935
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2552
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2308
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4722
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1841.8649
UserCPU time millis
34.482
UserCPU time millis testing
0.429
UserCPU time millis training
34.053