OpenML
1854809

Run 1854809

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)_alpha0.0796441701240838
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00104252519539165
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
0.8003
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8261
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2511
Cross-validation details (10-fold Crossvalidation)
KB relative information score
147.1692
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2098
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
0.8319
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8578
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8578
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.802
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3615
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3263
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9026
Cross-validation details (10-fold Crossvalidation)