DEVELOPMENT... OpenML
Run
114768

Run 114768

Task 50 (Supervised Classification) heart-h Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I40
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8461
Per class
Build CPU time
0.0588
Build memory
1191058006.8027
F measure
0.7903
Per class
Kappa
0.5415
KB relative information score
134.5678
Mean absolute error
0.0936
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
0.7898
Per class
Predictive accuracy
0.7925
Prior entropy
1.0314
Recall
0.7925
Per class
Relative absolute error
0.5012
Root mean prior squared error
0.3037
Root mean squared error
0.2631
Root relative squared error
0.8664
SciMark benchmark
893.4088