DEVELOPMENT... OpenML
Run
109537

Run 109537

Task 3836 (Supervised Classification) wine 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
0.9472
Per class
Build CPU time
0.0062
Build memory
128056008.3596
F measure
0.9545
Per class
Kappa
0.9045
KB relative information score
159.4269
Mean absolute error
0.0506
Mean prior absolute error
0.4798
Number of instances
178
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9582
Per class
Predictive accuracy
0.9551
Prior entropy
0.971
Recall
0.9551
Per class
Relative absolute error
0.1054
Root mean prior squared error
0.4897
Root mean squared error
0.2108
Root relative squared error
0.4305
SciMark benchmark
924.6733