DEVELOPMENT... OpenML
Run
200632

Run 200632

Task 4554 (Supervised Classification) analcatdata_marketing 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
0.4957
Per class
F measure
0.5429
Per class
Kappa
-0.008
KB relative information score
-556.6964
Mean absolute error
0.4701
Mean prior absolute error
0.4326
Number of instances
3640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5642
Per class
Predictive accuracy
0.5299
Prior entropy
0.901
Recall
0.5299
Per class
Relative absolute error
1.0866
Root mean prior squared error
0.4649
Root mean squared error
0.6856
Root relative squared error
1.4748
SciMark benchmark
869.6028
UserCPU time millis
10
UserCPU time millis training
10