Run
1840608

Run 1840608

Task 125968 (Supervised Classification) SpeedDating Uploaded 22-11-2016 by M. van Nijnatten
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Flow

weka.KStar(4)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(4)_B20
weka.KStar(4)_Ma

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
0.6695
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
5.4413
Cross-validation details (10-fold Crossvalidation)
F measure
0.7915
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-632.9496
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2333
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
0.7898
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7933
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.7933
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8475
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4548
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2262
Cross-validation details (10-fold Crossvalidation)
Total cost
45587
Cross-validation details (10-fold Crossvalidation)