Run
377673

Run 377673

Task 4393 (Supervised Classification) houses Uploaded 30-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9713
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9188
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.834
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
170336.9973
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0861
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4907
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
206400
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
0.9197
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9191
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9866
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9191
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1754
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4953
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2634
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5317
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1292.514
UserCPU time millis
4266750
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
4266750
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)