DEVELOPMENT... OpenML
Run
130362

Run 130362

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)_I80
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
0.8177
Per class
Build CPU time
0.0703
Build memory
1337967125.9439
F measure
0.7829
Per class
Kappa
0.5222
KB relative information score
108.0874
Mean absolute error
0.2195
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
0.7821
Per class
Predictive accuracy
0.785
Prior entropy
0.9397
Recall
0.785
Per class
Relative absolute error
0.4788
Root mean prior squared error
0.4786
Root mean squared error
0.4596
Root relative squared error
0.9604
SciMark benchmark
925.481