DEVELOPMENT... OpenML
Run
200605

Run 200605

Task 4528 (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
0.4731
Per class
F measure
0.5432
Per class
Kappa
-0.049
KB relative information score
-213.4109
Mean absolute error
0.4733
Mean prior absolute error
0.4128
Number of instances
900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.568
Per class
Predictive accuracy
0.5267
Prior entropy
0.8732
Recall
0.5267
Per class
Relative absolute error
1.1466
Root mean prior squared error
0.4533
Root mean squared error
0.688
Root relative squared error
1.5178
SciMark benchmark
882.7843