Run
8267859

Run 8267859

Task 43 (Supervised Classification) spambase Uploaded 27-10-2017 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.trees10
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size14
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.749900886951946
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
0.9742
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9202
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8317
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2632.7221
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2296
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
0.9218
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9209
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9209
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4808
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2833
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5798
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1242.401
UserCPU time millis
0.996
UserCPU time millis testing
0.095
UserCPU time millis training
0.901