DEVELOPMENT... OpenML
Run
128659

Run 128659

Task 40 (Supervised Classification) glass Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.719
Per class
Build CPU time
0.0028
Build memory
396581355.514
F measure
0.4964
Per class
Kappa
0.3401
KB relative information score
15.1787
Mean absolute error
0.2213
Mean prior absolute error
0.2116
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4669
Per class
Predictive accuracy
0.5374
Prior entropy
2.2315
Recall
0.5374
Per class
Relative absolute error
1.0458
Root mean prior squared error
0.3244
Root mean squared error
0.3347
Root relative squared error
1.0316
SciMark benchmark
909.5718