DEVELOPMENT... OpenML
Run
11600

Run 11600

Task 13 (Supervised Classification) breast-cancer Uploaded 22-05-2014 by Felicia West
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Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B2

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
0.5276
Per class
F measure
0.6266
Per class
Kappa
0.0663
KB relative information score
46.9718
Mean absolute error
0.3252
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
0.6188
Per class
Predictive accuracy
0.6748
Prior entropy
0.8796
Recall
0.6748
Per class
Relative absolute error
0.7773
Root mean prior squared error
0.457
Root mean squared error
0.5702
Root relative squared error
1.2477
SciMark benchmark
947.1611[563.02150163949781014.9881711071126483.449727694041911.48820099582031762.8577294742872]