OpenML
1866963

Run 1866963

Task 3954 (Supervised Classification) MagicTelescope Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.0694380786735564
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00358814055753704
mlr.classif.glmnet(4)_openml.seed1
mlr.classif.glmnet(4)_openml.kindMersenne-Twister
mlr.classif.glmnet(4)_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.

17 Evaluation measures

Area under ROC curve
0.8392
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7821
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5129
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6966.887
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2991
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.456
Cross-validation details (10-fold Crossvalidation)
Number of instances
19020
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7866
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7897
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.7897
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6561
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3842
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8047
Cross-validation details (10-fold Crossvalidation)