DEVELOPMENT... OpenML
Run
111370

Run 111370

Task 280 (Supervised Classification) heart-h Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8873
Per class
Build CPU time
0.344
Build memory
255961168
F measure
0.8437
Per class
Kappa
0.6584
KB relative information score
58.2001
Mean absolute error
0.0642
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
0.8438
Per class
Predictive accuracy
0.8454
Prior entropy
1.0314
Recall
0.8454
Per class
Relative absolute error
0.3439
Root mean prior squared error
0.3038
Root mean squared error
0.2472
Root relative squared error
0.8139
SciMark benchmark
931.9671