DEVELOPMENT... OpenML
Run
129270

Run 129270

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)_I40
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
0.7805
Per class
Build CPU time
0.0265
Build memory
982563413.6
F measure
0.7144
Per class
Kappa
0.4211
KB relative information score
105.1178
Mean absolute error
0.3021
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
0.7142
Per class
Predictive accuracy
0.7148
Prior entropy
0.9912
Recall
0.7148
Per class
Relative absolute error
0.6116
Root mean prior squared error
0.4969
Root mean squared error
0.491
Root relative squared error
0.9881
SciMark benchmark
937.9119