Run
6335857

Run 6335857

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)_alpha0.0390739156864583
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00698896294613772
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
0.9155
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8222
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3210.9914
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1576
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
0.9164
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9161
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9161
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3301
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2602
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5326
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1234.6634
UserCPU time millis
1.124
UserCPU time millis testing
0.077
UserCPU time millis training
1.047