DEVELOPMENT... OpenML
Run
134668

Run 134668

Task 50 (Supervised Classification) heart-h Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7853
Per class
Build CPU time
0.0181
Build memory
1737303101.8776
F measure
0.7861
Per class
Kappa
0.5311
KB relative information score
146.7684
Mean absolute error
0.0837
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
0.7858
Per class
Predictive accuracy
0.7891
Prior entropy
1.0314
Recall
0.7891
Per class
Relative absolute error
0.4485
Root mean prior squared error
0.3037
Root mean squared error
0.2824
Root relative squared error
0.93
SciMark benchmark
939.084