DEVELOPMENT... OpenML
Run
199746

Run 199746

Task 3056 (Supervised Classification) SPECT Uploaded 27-02-2015 by Felicia West
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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
0.7479
Per class
F measure
0.7951
Per class
Kappa
0.4374
KB relative information score
22.8156
Mean absolute error
0.2159
Mean prior absolute error
0.3342
Number of instances
88
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8162
Per class
Predictive accuracy
0.7841
Prior entropy
0.738
Recall
0.7841
Per class
Relative absolute error
0.6461
Root mean prior squared error
0.4115
Root mean squared error
0.4647
Root relative squared error
1.1291
SciMark benchmark
1404.1865