DEVELOPMENT... OpenML
Run
23184

Run 23184

Task 50 (Supervised Classification) heart-h Uploaded 24-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I20
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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
0.8479
Per class
F measure
0.8099
Per class
Kappa
0.5831
KB relative information score
153.2554
Mean absolute error
0.0802
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8104
Per class
Predictive accuracy
0.8129
Prior entropy
1.0314
Recall
0.8129
Per class
Relative absolute error
0.4295
Root mean prior squared error
0.3037
Root mean squared error
0.259
Root relative squared error
0.8526
SciMark benchmark
918.1631[541.8579015917576980.3892194377594463.41897029425047906.44537908266061698.7040370557606]