Run
289258

Run 289258

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 14-03-2015 by Joaquin Vanschoren
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Flow

weka.KStar(3)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(3)_B20
weka.KStar(3)_Ma

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
0.6388
Per class
Cross-validation details (33% Holdout set)
F measure
0.6508
Per class
Cross-validation details (33% Holdout set)
Kappa
0.188
Cross-validation details (33% Holdout set)
KB relative information score
2.2036
Cross-validation details (33% Holdout set)
Mean absolute error
0.1823
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7174
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.625
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.625
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8106
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.4177
Cross-validation details (33% Holdout set)
Root relative squared error
1.3497
Cross-validation details (33% Holdout set)
SciMark benchmark
1323.4648
UserCPU time millis
470
Cross-validation details (33% Holdout set)
UserCPU time millis testing
470
Cross-validation details (33% Holdout set)