DEVELOPMENT... OpenML
Run
200085

Run 200085

Task 3823 (Supervised Classification) postoperative-patient-data 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
0.5048
Per class
F measure
0.5704
Per class
Kappa
0.0088
KB relative information score
-14.5822
Mean absolute error
0.4444
Mean prior absolute error
0.4128
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5929
Per class
Predictive accuracy
0.5556
Prior entropy
0.8732
Recall
0.5556
Per class
Relative absolute error
1.0767
Root mean prior squared error
0.4533
Root mean squared error
0.6667
Root relative squared error
1.4708
SciMark benchmark
869.6028