Run
1665112

Run 1665112

Task 3494 (Supervised Classification) monks-problems-3 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
0.9476
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9477
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8952
Cross-validation details (10-fold Crossvalidation)
KB relative information score
495.8643
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0523
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9477
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9477
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9477
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1049
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2288
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4579
Cross-validation details (10-fold Crossvalidation)