DEVELOPMENT... OpenML
Run
130469

Run 130469

Task 50 (Supervised Classification) heart-h Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I160
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.7645
Per class
Build CPU time
0.1466
Build memory
756555094.585
F measure
0.7242
Per class
Kappa
0.4013
KB relative information score
102.9699
Mean absolute error
0.113
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
0.7239
Per class
Predictive accuracy
0.7245
Prior entropy
1.0314
Recall
0.7245
Per class
Relative absolute error
0.6052
Root mean prior squared error
0.3037
Root mean squared error
0.3221
Root relative squared error
1.0605
SciMark benchmark
939.0159

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