DEVELOPMENT... OpenML
Run
18676

Run 18676

Task 50 (Supervised Classification) heart-h Uploaded 11-06-2014 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)_I40
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
0.8383
Per class
F measure
0.7967
Per class
Kappa
0.5547
KB relative information score
142.2276
Mean absolute error
0.0879
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
0.7964
Per class
Predictive accuracy
0.7993
Prior entropy
1.0314
Recall
0.7993
Per class
Relative absolute error
0.4709
Root mean prior squared error
0.3037
Root mean squared error
0.2627
Root relative squared error
0.8651
SciMark benchmark
945.1884[555.6676246942531012.5880246437401483.449727694041907.38665814554741766.8500850997275]