Run
1673741

Run 1673741

Task 9980 (Supervised Classification) climate-model-simulation-crashes Uploaded 22-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_OneR(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.OneR(18)_B6
weka.AdaBoostM1_OneR(3)_P100
weka.AdaBoostM1_OneR(3)_S1
weka.AdaBoostM1_OneR(3)_I10
weka.AdaBoostM1_OneR(3)_Wweka.classifiers.rules.OneR

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.536
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8646
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0095
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-33.0029
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1139
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1571
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8421
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8907
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4254
Cross-validation details (10-fold Crossvalidation)
Recall
0.8907
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7251
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2792
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3201
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1468
Cross-validation details (10-fold Crossvalidation)