Run
1842152

Run 1842152

Task 125968 (Supervised Classification) SpeedDating Uploaded 04-12-2016 by Joost van der Heide
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_M2
weka.J48(33)_Rtrue
weka.J48(33)_N3
weka.J48(33)_Q1

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
0.7277
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
5.7098
Cross-validation details (10-fold Crossvalidation)
F measure
0.8232
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3072
Cross-validation details (10-fold Crossvalidation)
KB relative information score
834.9645
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2146
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
0.8172
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8405
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8405
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7796
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3568
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.962
Cross-validation details (10-fold Crossvalidation)
Total cost
47837
Cross-validation details (10-fold Crossvalidation)