DEVELOPMENT... OpenML
Run
200128

Run 200128

Task 3844 (Supervised Classification) kdd_internet_usage Uploaded 27-02-2015 by Jason
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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
0.7072
Per class
F measure
0.7973
Per class
Kappa
0.4619
KB relative information score
4746.5772
Mean absolute error
0.1897
Mean prior absolute error
0.3929
Number of instances
10108
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8005
Per class
Predictive accuracy
0.8103
Prior entropy
0.8395
Recall
0.8103
Per class
Relative absolute error
0.4827
Root mean prior squared error
0.4432
Root mean squared error
0.4355
Root relative squared error
0.9825
SciMark benchmark
1335.643
UserCPU time millis
210
UserCPU time millis testing
90
UserCPU time millis training
120