Run
8249548

Run 8249548

Task 43 (Supervised Classification) spambase Uploaded 25-10-2017 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.trees22
mlr.classif.ranger(9)_mtry9
mlr.classif.ranger(9)_min.node.size177
mlr.classif.ranger(9)_sample.fraction0.295412514428608
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
0.9702
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9235
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.839
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2854.9111
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2025
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
0.9241
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9239
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9239
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4241
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2711
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5548
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1820.5827
UserCPU time millis
0.736
UserCPU time millis testing
0.06
UserCPU time millis training
0.676