Run
306777

Run 306777

Task 1748 (Learning Curve) tic-tac-toe Uploaded 19-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.Winnow(3)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(3)_I1
weka.Winnow(3)_A2.0
weka.Winnow(3)_B0.5
weka.Winnow(3)_H-1.0
weka.Winnow(3)_W2.0
weka.Winnow(3)_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.

22 Evaluation measures

Area under ROC curve
0.61 ± 0.0561
Per class
F measure
0.6187 ± 0.1559
Per class
Kappa
0.2034 ± 0.1153
KB relative information score
0.1017 ± 0.278
Mean absolute error
0.3904 ± 0.1204
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6452 ± 0.0375
Per class
Predictive accuracy
0.6096 ± 0.1204
Prior entropy
0.931 ± 0.0039
Recall
0.6096 ± 0.1204
Per class
Relative absolute error
0.8618 ± 0.2664
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.6248 ± 0.0915
Root relative squared error
1.313 ± 0.1927
SciMark benchmark
1354.4133