Run
1841413

Run 1841413

Task 125966 (Supervised Classification) SpeedDating Uploaded 28-11-2016 by Jeroen Donners
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Flow

weka.AdaBoostM1_RandomTree(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.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.RandomTree(11)_num-decimal-places6
weka.AdaBoostM1_RandomTree(3)_P100
weka.AdaBoostM1_RandomTree(3)_S1
weka.AdaBoostM1_RandomTree(3)_I10
weka.AdaBoostM1_RandomTree(3)_Wweka.classifiers.trees.RandomTree
weka.AdaBoostM1_RandomTree(3)_num-decimal-places6

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
0.6874
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.822
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2918
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2596.0329
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1551
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
0.8183
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8444
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8444
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5636
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3863
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0414
Cross-validation details (10-fold Crossvalidation)