Run
1840932

Run 1840932

Task 125969 (Supervised Classification) SpeedDating Uploaded 24-11-2016 by J B
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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.DecisionStump(5)_num-decimal-places5
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_Qtrue
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I48
weka.AdaBoostM1_DecisionStump(14)_Wweka.classifiers.trees.DecisionStump
weka.AdaBoostM1_DecisionStump(14)_num-decimal-places5

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
0.8453
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2446
Cross-validation details (10-fold Crossvalidation)
F measure
0.844
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3892
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1175.0344
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2039
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8414
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8589
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8589
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7409
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3197
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.862
Cross-validation details (10-fold Crossvalidation)
Total cost
2049
Cross-validation details (10-fold Crossvalidation)