Run
289296

Run 289296

Task 3043 (Supervised Classification) sick Uploaded 15-03-2015 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
0.9597
Per class
Cross-validation details (33% Holdout set)
F measure
0.9387
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4466
Cross-validation details (33% Holdout set)
KB relative information score
476.1229
Cross-validation details (33% Holdout set)
Mean absolute error
0.0564
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.1193
Cross-validation details (33% Holdout set)
Number of instances
1244
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9375
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9461
Cross-validation details (33% Holdout set)
Prior entropy
0.3333
Cross-validation details (33% Holdout set)
Recall
0.9461
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4732
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2482
Cross-validation details (33% Holdout set)
Root mean squared error
0.2023
Cross-validation details (33% Holdout set)
Root relative squared error
0.815
Cross-validation details (33% Holdout set)
SciMark benchmark
916.6405
UserCPU time millis
69240
Cross-validation details (33% Holdout set)
UserCPU time millis testing
69240
Cross-validation details (33% Holdout set)