DEVELOPMENT... OpenML
Run
130471

Run 130471

Task 52 (Supervised Classification) heart-statlog 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
0.7474
Per class
Build CPU time
0.1559
Build memory
1473786095.2
F measure
0.6853
Per class
Kappa
0.363
KB relative information score
96.5957
Mean absolute error
0.3154
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6855
Per class
Predictive accuracy
0.6852
Prior entropy
0.9912
Recall
0.6852
Per class
Relative absolute error
0.6387
Root mean prior squared error
0.4969
Root mean squared error
0.5378
Root relative squared error
1.0822
SciMark benchmark
939.0159