Run
305752

Run 305752

Task 4548 (Supervised Classification) optdigits Uploaded 18-03-2015 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
0.9973
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9943
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.969
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
53803.3928
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0059
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.183
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
56200
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9943
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9944
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4751
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9944
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0321
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3024
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0708
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.234
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
912.7324
UserCPU time millis
343300
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
343300
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)