OpenML
6351091

Run 6351091

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 29-08-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot13 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)_alpha0.0785111158620566
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.25974039136801
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
0.7349
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6709
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0311
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24.4435
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3454
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7739
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.766
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.766
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9513
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4095
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9617
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1272.6637
UserCPU time millis
0.11
UserCPU time millis testing
0.064
UserCPU time millis training
0.046