DEVELOPMENT... OpenML
Run
111962

Run 111962

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)_I40
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
0.9023
Per class
Build CPU time
0.187
Build memory
1246109752
F measure
0.8214
Per class
Kappa
0.6078
KB relative information score
53.8645
Mean absolute error
0.0734
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
0.8229
Per class
Predictive accuracy
0.8247
Prior entropy
1.0314
Recall
0.8247
Per class
Relative absolute error
0.3929
Root mean prior squared error
0.3038
Root mean squared error
0.2575
Root relative squared error
0.8476
SciMark benchmark
919.8064