DEVELOPMENT... OpenML
Run
110171

Run 110171

Task 50 (Supervised Classification) heart-h 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)_I160
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
0.7844
Per class
Build CPU time
0.0603
Build memory
1177100068.7891
F measure
0.7882
Per class
Kappa
0.5389
KB relative information score
141.4149
Mean absolute error
0.0887
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
0.7876
Per class
Predictive accuracy
0.7891
Prior entropy
1.0314
Recall
0.7891
Per class
Relative absolute error
0.4752
Root mean prior squared error
0.3037
Root mean squared error
0.2878
Root relative squared error
0.9477
SciMark benchmark
945.0532