DEVELOPMENT... OpenML
Run
199768

Run 199768

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 27-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9476
Per class
F measure
0.9477
Per class
Kappa
0.8952
KB relative information score
495.8643
Mean absolute error
0.0523
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9477
Per class
Predictive accuracy
0.9477
Prior entropy
0.9989
Recall
0.9477
Per class
Relative absolute error
0.1049
Root mean prior squared error
0.4996
Root mean squared error
0.2288
Root relative squared error
0.4579
SciMark benchmark
1363.454
UserCPU time millis
10
UserCPU time millis testing
10