Run
1842942

Run 1842942

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Laurence Keijzer
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Flow

weka.RandomSubSpace_NaiveBayesUpdateable(1)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
weka.RandomSubSpace_NaiveBayesUpdateable(1)_P0.5
weka.RandomSubSpace_NaiveBayesUpdateable(1)_S1
weka.RandomSubSpace_NaiveBayesUpdateable(1)_num-slots1
weka.RandomSubSpace_NaiveBayesUpdateable(1)_I10
weka.RandomSubSpace_NaiveBayesUpdateable(1)_Wweka.classifiers.bayes.NaiveBayesUpdateable

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
0.8341
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
2.9149
Cross-validation details (10-fold Crossvalidation)
F measure
0.8055
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3812
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-466.4482
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2304
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
0.84
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7872
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.7872
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8373
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3954
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.066
Cross-validation details (10-fold Crossvalidation)
Total cost
24421
Cross-validation details (10-fold Crossvalidation)