DEVELOPMENT... OpenML
Run
133469

Run 133469

Task 50 (Supervised Classification) heart-h Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.8892
Per class
Build CPU time
0.076
Build memory
1950026150.3401
F measure
0.8046
Per class
Kappa
0.5734
KB relative information score
132.6478
Mean absolute error
0.0986
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
0.804
Per class
Predictive accuracy
0.8061
Prior entropy
1.0314
Recall
0.8061
Per class
Relative absolute error
0.5278
Root mean prior squared error
0.3037
Root mean squared error
0.2261
Root relative squared error
0.7446
SciMark benchmark
943.8094