DEVELOPMENT... OpenML
Run
117406

Run 117406

Task 48 (Supervised Classification) heart-c Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.8452
Per class
Build CPU time
2.4949
Build memory
2524721925.6238
F measure
0.7883
Per class
Kappa
0.5727
KB relative information score
164.9311
Mean absolute error
0.0837
Mean prior absolute error
0.2004
Number of instances
303
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7885
Per class
Predictive accuracy
0.7888
Prior entropy
1.0792
Recall
0.7888
Per class
Relative absolute error
0.4177
Root mean prior squared error
0.315
Root mean squared error
0.279
Root relative squared error
0.8857
SciMark benchmark
916.8516

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