Run
8782669

Run 8782669

Task 145979 (Supervised Classification) spambase Uploaded 08-01-2018 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.trees1102
mlr.classif.ranger(16)_mtry51
mlr.classif.ranger(16)_min.node.size1332
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.53515418516472
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
0.9171
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8419
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6685
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2205.8548
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2687
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
0.8418
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8422
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8422
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5626
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3352
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.686
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1377.0476
UserCPU time millis
18.148
UserCPU time millis testing
0.845
UserCPU time millis training
17.303