DEVELOPMENT... OpenML
Run
200323

Run 200323

Task 4245 (Supervised Classification) analcatdata_boxing1 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
0.7442
Per class
F measure
0.7781
Per class
Kappa
0.5054
KB relative information score
603.049
Mean absolute error
0.2175
Mean prior absolute error
0.4557
Number of instances
1200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7781
Per class
Predictive accuracy
0.7825
Prior entropy
0.9362
Recall
0.7825
Per class
Relative absolute error
0.4772
Root mean prior squared error
0.477
Root mean squared error
0.4664
Root relative squared error
0.9778
SciMark benchmark
854.5188
UserCPU time millis
10
UserCPU time millis training
10

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