DEVELOPMENT... OpenML
Run
200659

Run 200659

Task 4582 (Supervised Classification) analcatdata_dmft 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
0.4991
Per class
F measure
0.7078
Per class
Kappa
-0.0022
KB relative information score
107.1447
Mean absolute error
0.2626
Mean prior absolute error
0.3138
Number of instances
7970
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6859
Per class
Predictive accuracy
0.7374
Prior entropy
0.7123
Recall
0.7374
Per class
Relative absolute error
0.8369
Root mean prior squared error
0.3958
Root mean squared error
0.5125
Root relative squared error
1.2947
SciMark benchmark
939.5205
UserCPU time millis
10
UserCPU time millis testing
10