DEVELOPMENT... OpenML
Run
6585

Run 6585

Task 13 (Supervised Classification) breast-cancer Uploaded 15-05-2014 by Felicia West
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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
0.6578
Per class
F measure
0.7237
Per class
Kappa
0.3119
KB relative information score
50.8283
Mean absolute error
0.3336
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7265
Per class
Predictive accuracy
0.7448
Prior entropy
0.8796
Recall
0.7448
Per class
Relative absolute error
0.7975
Root mean prior squared error
0.457
Root mean squared error
0.4507
Root relative squared error
0.9862
SciMark benchmark
945.5845[561.20997989739871015.5230404536866484.9782432137119909.59057174132591756.6204475653492]