DEVELOPMENT... OpenML
Run
129762

Run 129762

Task 3859 (Supervised Classification) prnn_fglass 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)_I40
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
0.8045
Per class
Build CPU time
0.0326
Build memory
350248579.215
F measure
0.7512
Per class
Kappa
0.4544
KB relative information score
96.918
Mean absolute error
0.2421
Mean prior absolute error
0.4584
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
0.7503
Per class
Predictive accuracy
0.7523
Prior entropy
0.9397
Recall
0.7523
Per class
Relative absolute error
0.528
Root mean prior squared error
0.4786
Root mean squared error
0.466
Root relative squared error
0.9738
SciMark benchmark
916.8903