Run
6354881

Run 6354881

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 29-08-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot17 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)_alpha0.247987665934488
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.321917306545103
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
0.6682
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5165
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
39.2058
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4374
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.427
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6534
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.6534
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9655
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4617
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9703
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1309.9298
UserCPU time millis
0.236
UserCPU time millis testing
0.108
UserCPU time millis training
0.128