DEVELOPMENT... OpenML
Run
121211

Run 121211

Task 235 (Supervised Classification) arrhythmia Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I80
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.7894
Per class
Build CPU time
1572.994
Build memory
2736587872
F measure
0.6606
Per class
Kappa
0.5436
KB relative information score
78.954
Mean absolute error
0.0377
Mean prior absolute error
0.0878
Number of instances
149
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6412
Per class
Predictive accuracy
0.698
Prior entropy
2.5222
Recall
0.698
Per class
Relative absolute error
0.4297
Root mean prior squared error
0.211
Root mean squared error
0.193
Root relative squared error
0.9145
SciMark benchmark
931.9671