OpenML
1866944

Run 1866944

Task 3954 (Supervised Classification) MagicTelescope Uploaded 28-03-2017 by Philipp Probst
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.456191583769396
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00305287334895701
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
0.8389
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7826
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5141
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6989.4523
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2987
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
0.7871
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7902
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.7902
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.655
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.384
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8043
Cross-validation details (10-fold Crossvalidation)