Run
267702

Run 267702

Task 4546 (Supervised Classification) mfeat-factors Uploaded 06-03-2015 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
0.6626
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.1587
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.018
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-69761.9936
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4491
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9108
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.1755
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.1755
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
2.4906
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4739
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.5796
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1316.7714
UserCPU time millis
876040
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
876040
Cross-validation details (10 times 10-fold Crossvalidation)