DEVELOPMENT... OpenML
Run
109708

Run 109708

Task 1765 (Supervised Classification) anneal 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)_I80
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
0.965
Per class
Build CPU time
0.0395
Build memory
165974284
F measure
0.9753
Per class
Kappa
0.9384
KB relative information score
4027.4061
Mean absolute error
0.0117
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9753
Per class
Predictive accuracy
0.9755
Prior entropy
1.2149
Recall
0.9755
Per class
Relative absolute error
0.0871
Root mean prior squared error
0.2582
Root mean squared error
0.0899
Root relative squared error
0.3482
SciMark benchmark
924.6733