OpenML
1854738

Run 1854738

Task 3917 (Supervised Classification) kc1 Uploaded 27-03-2017 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)_alpha0.796035029226914
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00399140145365232
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
0.7981
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8278
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2559
Cross-validation details (10-fold Crossvalidation)
KB relative information score
128.1816
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2135
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2616
Cross-validation details (10-fold Crossvalidation)
Number of instances
2109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.838
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8606
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8606
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8163
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3615
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.327
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9045
Cross-validation details (10-fold Crossvalidation)