DEVELOPMENT... OpenML
Run
121795

Run 121795

Task 235 (Supervised Classification) arrhythmia Uploaded 12-12-2014 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)_I160
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
0.7778
Per class
Build CPU time
3218.312
Build memory
2126389832
F measure
0.6666
Per class
Kappa
0.5539
KB relative information score
81.2092
Mean absolute error
0.0368
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
0.6488
Per class
Predictive accuracy
0.7047
Prior entropy
2.5222
Recall
0.7047
Per class
Relative absolute error
0.4194
Root mean prior squared error
0.211
Root mean squared error
0.1915
Root relative squared error
0.9074
SciMark benchmark
935.6292