Run
2431175

Run 2431175

Task 37 (Supervised Classification) diabetes Uploaded 22-06-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot1 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.120260995812714
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00586286062722827
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
0.8306
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7683
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4801
Cross-validation details (10-fold Crossvalidation)
KB relative information score
248.5576
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3147
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7712
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.776
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.776
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6925
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3962
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8312
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1258.1168
UserCPU time millis
0.123
UserCPU time millis testing
0.066
UserCPU time millis training
0.057