Run
10154297

Run 10154297

Task 49 (Supervised Classification) tic-tac-toe Uploaded 28-01-2019 by Jeroen van Hoof
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Flow

versus_full.hyperboost.HyperBoost(1)Automatically created scikit-learn flow.
versus_full.hyperboost.HyperBoost(1)_inner_cv3
versus_full.hyperboost.HyperBoost(1)_method"gbqr"

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
0.922 ± 0.0329
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8077 ± 0.0472
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5656 ± 0.1048
Cross-validation details (10-fold Crossvalidation)
KB relative information score
268.676 ± 5.941
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.347 ± 0.0239
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8578 ± 0.0314
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8257 ± 0.0378
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.8257 ± 0.0378
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.766 ± 0.0529
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3801 ± 0.023
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7988 ± 0.0483
Cross-validation details (10-fold Crossvalidation)