DEVELOPMENT... OpenML
Run
133519

Run 133519

Task 280 (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
0.9062
Per class
Build CPU time
0.05
Build memory
1263862152
F measure
0.8081
Per class
Kappa
0.5766
KB relative information score
44.9742
Mean absolute error
0.0973
Mean prior absolute error
0.1867
Number of instances
97
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8145
Per class
Predictive accuracy
0.8144
Prior entropy
1.0314
Recall
0.8144
Per class
Relative absolute error
0.5208
Root mean prior squared error
0.3038
Root mean squared error
0.2176
Root relative squared error
0.7165
SciMark benchmark
943.8094