DEVELOPMENT... OpenML
Run
120104

Run 120104

Task 235 (Supervised Classification) arrhythmia Uploaded 10-12-2014 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)_I20
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
0.8162
Per class
Build CPU time
373.318
Build memory
95259000
F measure
0.647
Per class
Kappa
0.5255
KB relative information score
78.9465
Mean absolute error
0.0388
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
0.6286
Per class
Predictive accuracy
0.6846
Prior entropy
2.5222
Recall
0.6846
Per class
Relative absolute error
0.4412
Root mean prior squared error
0.211
Root mean squared error
0.1931
Root relative squared error
0.9151
SciMark benchmark
942.0692