DEVELOPMENT... OpenML
Run
110490

Run 110490

Task 3680 (Supervised Classification) chscase_vine1 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)_I160
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
0.8155
Per class
Build CPU time
0.0172
Build memory
181894316.7692
F measure
0.7696
Per class
Kappa
0.5385
KB relative information score
26.9555
Mean absolute error
0.2418
Mean prior absolute error
0.4972
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7722
Per class
Predictive accuracy
0.7692
Prior entropy
0.996
Recall
0.7692
Per class
Relative absolute error
0.4863
Root mean prior squared error
0.4985
Root mean squared error
0.4708
Root relative squared error
0.9445
SciMark benchmark
936.1433

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