DEVELOPMENT... OpenML
Run
7702

Run 7702

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 by Felicia West
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Flow

weka.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(1)_C0.01
weka.J48(1)_M20

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
0.8756
Per class
F measure
0.8971
Per class
Kappa
0.7756
KB relative information score
233.2982
Mean absolute error
0.1657
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8969
Per class
Predictive accuracy
0.8974
Prior entropy
0.9425
Recall
0.8974
Per class
Relative absolute error
0.3598
Root mean prior squared error
0.4797
Root mean squared error
0.2975
Root relative squared error
0.6201
SciMark benchmark
947.4772[567.23276363937031016.0585376856843483.6674820550281909.27509318503251761.152276377127]