DEVELOPMENT... OpenML
Run
10300

Run 10300

Task 32 (Supervised Classification) pendigits Uploaded 22-05-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.KStar(1)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(1)_B20
weka.KStar(1)_Ma

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9997
Per class
F measure
0.992
Per class
Kappa
0.9911
KB relative information score
10905.139
Mean absolute error
0.0019
Mean prior absolute error
0.18
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.992
Per class
Predictive accuracy
0.992
Prior entropy
3.3208
Recall
0.992
Per class
Relative absolute error
0.0107
Root mean prior squared error
0.3
Root mean squared error
0.0359
Root relative squared error
0.1196
SciMark benchmark
948.2137[571.69471399340861015.5230404536866483.23216931738307908.32989414330441762.2889234168845]