DEVELOPMENT... OpenML
Run
135868

Run 135868

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)_I80
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
0.7601
Per class
Build CPU time
0.1066
Build memory
2492216748.5442
F measure
0.7797
Per class
Kappa
0.518
KB relative information score
141.9304
Mean absolute error
0.0871
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
0.7791
Per class
Predictive accuracy
0.7823
Prior entropy
1.0314
Recall
0.7823
Per class
Relative absolute error
0.4666
Root mean prior squared error
0.3037
Root mean squared error
0.2904
Root relative squared error
0.9561
SciMark benchmark
934.6076