Run
7888209

Run 7888209

Task 145857 (Supervised Classification) phoneme Uploaded 10-09-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot21 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)_alpha0.45817979471758
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.283666999462672
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
0.7353
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.585
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
69.2839
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4102
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4992
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7065
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7065
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9892
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4506
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9895
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1315.038
UserCPU time millis
0.199
UserCPU time millis testing
0.072
UserCPU time millis training
0.127