Run
289171

Run 289171

Task 264 (Supervised Classification) postoperative-patient-data 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
0.4464
Per class
Cross-validation details (33% Holdout set)
F measure
0.5149
Per class
Cross-validation details (33% Holdout set)
Kappa
-0.2694
Cross-validation details (33% Holdout set)
KB relative information score
-3.9967
Cross-validation details (33% Holdout set)
Mean absolute error
0.2995
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2798
Cross-validation details (33% Holdout set)
Number of instances
29
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4828
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5517
Cross-validation details (33% Holdout set)
Prior entropy
1.0305
Cross-validation details (33% Holdout set)
Recall
0.5517
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0704
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3657
Cross-validation details (33% Holdout set)
Root mean squared error
0.4366
Cross-validation details (33% Holdout set)
Root relative squared error
1.1939
Cross-validation details (33% Holdout set)
SciMark benchmark
1318.6149
UserCPU time millis
10
UserCPU time millis testing
10