DEVELOPMENT... OpenML
Run
120657

Run 120657

Task 237 (Supervised Classification) audiology 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)_I40
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
0.8786
Per class
Build CPU time
86.067
Build memory
55145800
F measure
0.7285
Per class
Kappa
0.7385
KB relative information score
52.3669
Mean absolute error
0.0194
Mean prior absolute error
0.0736
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7124
Per class
Predictive accuracy
0.7703
Prior entropy
3.6349
Recall
0.7703
Per class
Relative absolute error
0.2641
Root mean prior squared error
0.1925
Root mean squared error
0.1386
Root relative squared error
0.7198
SciMark benchmark
886.6397