Run
7636831

Run 7636831

Task 145979 (Supervised Classification) spambase Uploaded 08-09-2017 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)_alpha0.858837572624907
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.0299445566954967
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
0.953
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.871
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.727
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2393.692
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.252
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
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8742
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8742
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5276
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3145
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6435
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1304.1044
UserCPU time millis
0.702
UserCPU time millis testing
0.066
UserCPU time millis training
0.636