Run
1842825

Run 1842825

Task 125966 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Marten Kenbeek
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Flow

weka.RandomSubSpace_SimpleLogistic(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.SimpleLogistic(4)_I0
weka.SimpleLogistic(4)_M500
weka.SimpleLogistic(4)_H50
weka.SimpleLogistic(4)_W0.0
weka.RandomSubSpace_SimpleLogistic(1)_P0.5
weka.RandomSubSpace_SimpleLogistic(1)_S1
weka.RandomSubSpace_SimpleLogistic(1)_num-slots4
weka.RandomSubSpace_SimpleLogistic(1)_I10
weka.RandomSubSpace_SimpleLogistic(1)_Wweka.classifiers.functions.SimpleLogistic

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
0.8561
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8329
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3252
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1168.5308
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2077
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
0.8411
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8595
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8595
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7545
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3171
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8548
Cross-validation details (10-fold Crossvalidation)