DEVELOPMENT... OpenML
Run
200645

Run 200645

Task 4571 (Supervised Classification) primary-tumor 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
0.6086
Per class
F measure
0.7216
Per class
Kappa
0.2316
KB relative information score
661.1851
Mean absolute error
0.2687
Mean prior absolute error
0.3735
Number of instances
3390
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.715
Per class
Predictive accuracy
0.7313
Prior entropy
0.8101
Recall
0.7313
Per class
Relative absolute error
0.7194
Root mean prior squared error
0.4317
Root mean squared error
0.5184
Root relative squared error
1.2007
SciMark benchmark
889.3151