Run
1608009

Run 1608009

Task 9985 (Supervised Classification) first-order-theorem-proving Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(14)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I10
weka.AdaBoostM1_DecisionStump(14)_Wweka.classifiers.trees.DecisionStump

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
0.5869
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2572
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0099
Cross-validation details (10-fold Crossvalidation)
KB relative information score
372.2541
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2441
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2508
Cross-validation details (10-fold Crossvalidation)
Number of instances
6118
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2159
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4168
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3005
Cross-validation details (10-fold Crossvalidation)
Recall
0.4168
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9734
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3541
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3499
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9881
Cross-validation details (10-fold Crossvalidation)