DEVELOPMENT... OpenML
Run
200514

Run 200514

Task 4436 (Supervised Classification) visualizing_livestock 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
0.6751
Per class
F measure
0.8225
Per class
Kappa
0.3968
KB relative information score
483.7683
Mean absolute error
0.1654
Mean prior absolute error
0.3135
Number of instances
1300
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8187
Per class
Predictive accuracy
0.8346
Prior entropy
0.7158
Recall
0.8346
Per class
Relative absolute error
0.5275
Root mean prior squared error
0.3941
Root mean squared error
0.4067
Root relative squared error
1.0318
SciMark benchmark
939.5205