DEVELOPMENT... OpenML
Run
109113

Run 109113

Task 52 (Supervised Classification) heart-statlog Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.7192
Per class
Build CPU time
0.0177
Build memory
87078558.4
F measure
0.7223
Per class
Kappa
0.438
KB relative information score
116.5833
Mean absolute error
0.2796
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
0.7225
Per class
Predictive accuracy
0.7222
Prior entropy
0.9912
Recall
0.7222
Per class
Relative absolute error
0.5661
Root mean prior squared error
0.4969
Root mean squared error
0.5249
Root relative squared error
1.0564
SciMark benchmark
937.279

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