Run
6334678

Run 6334678

Task 145979 (Supervised Classification) spambase Uploaded 28-08-2017 by OpenML_Bot R
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Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.944104491267353
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00548878318259683
mlr.classif.glmnet(11)_openml.seed1
mlr.classif.glmnet(11)_openml.kindMersenne-Twister
mlr.classif.glmnet(11)_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
0.9669
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9127
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.816
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3132.3594
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1669
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
0.9143
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9135
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9135
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3496
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2646
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5416
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1251.9518
UserCPU time millis
0.904
UserCPU time millis testing
0.074
UserCPU time millis training
0.83