DEVELOPMENT... OpenML
Run
200182

Run 200182

Task 3885 (Supervised Classification) mfeat-pixel 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
0.9697
Per class
F measure
0.9856
Per class
Kappa
0.921
KB relative information score
1780.709
Mean absolute error
0.0145
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9859
Per class
Predictive accuracy
0.9855
Prior entropy
0.4703
Recall
0.9855
Per class
Relative absolute error
0.0804
Root mean prior squared error
0.3
Root mean squared error
0.1204
Root relative squared error
0.4014
SciMark benchmark
1324.8395
UserCPU time millis
70
UserCPU time millis testing
30
UserCPU time millis training
40