DEVELOPMENT... OpenML
Run
6899

Run 6899

Task 30 (Supervised Classification) page-blocks Uploaded 21-05-2014 by Felicia West
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Flow

weka.KStar(1)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(1)_B20
weka.KStar(1)_Ma

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9827
Per class
F measure
0.9693
Per class
Kappa
0.8373
KB relative information score
4277.1476
Mean absolute error
0.0138
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.969
Per class
Predictive accuracy
0.9699
Prior entropy
0.6391
Recall
0.9699
Per class
Relative absolute error
0.1811
Root mean prior squared error
0.1949
Root mean squared error
0.1024
Root relative squared error
0.5258
SciMark benchmark
912.3643[569.64095994657931015.52310425331483.2321174670136911.80521739130441581.6199252301437]