DEVELOPMENT... OpenML
Run
109127

Run 109127

Task 237 (Supervised Classification) audiology Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.8499
Per class
Build CPU time
0.022
Build memory
65887720
F measure
0.6275
Per class
Kappa
0.626
KB relative information score
42.7907
Mean absolute error
0.0339
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
0.6374
Per class
Predictive accuracy
0.6757
Prior entropy
3.6349
Recall
0.6757
Per class
Relative absolute error
0.4606
Root mean prior squared error
0.1925
Root mean squared error
0.1458
Root relative squared error
0.757
SciMark benchmark
925.481