Run
1665105

Run 1665105

Task 3 (Supervised Classification) kr-vs-kp Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.Winnow(4)N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz.
weka.Winnow(4)_I1
weka.Winnow(4)_A2.0
weka.Winnow(4)_B0.5
weka.Winnow(4)_H-1.0
weka.Winnow(4)_W2.0
weka.Winnow(4)_S1

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
0.6645
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6299
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3212
Cross-validation details (10-fold Crossvalidation)
KB relative information score
971.6722
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.347
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7262
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.653
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.653
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6954
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5891
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1793
Cross-validation details (10-fold Crossvalidation)