DEVELOPMENT... OpenML
Run
130398

Run 130398

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.5842
Per class
Build CPU time
0.0642
Build memory
1043993927.7182
F measure
0.564
Per class
Kappa
0.119
KB relative information score
44.9552
Mean absolute error
0.4334
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5645
Per class
Predictive accuracy
0.5637
Prior entropy
0.992
Recall
0.5637
Per class
Relative absolute error
0.8765
Root mean prior squared error
0.4972
Root mean squared error
0.5939
Root relative squared error
1.1946
SciMark benchmark
925.481