DEVELOPMENT... OpenML
Run
121191

Run 121191

Task 237 (Supervised Classification) audiology 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
0.8631
Per class
Build CPU time
162.052
Build memory
92628200
F measure
0.6873
Per class
Kappa
0.6926
KB relative information score
49.2167
Mean absolute error
0.0224
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
0.6715
Per class
Predictive accuracy
0.7297
Prior entropy
3.6349
Recall
0.7297
Per class
Relative absolute error
0.3038
Root mean prior squared error
0.1925
Root mean squared error
0.1491
Root relative squared error
0.7743
SciMark benchmark
943.4163