DEVELOPMENT... OpenML
Run
130855

Run 130855

Task 3740 (Supervised Classification) fri_c1_100_50 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)_I160
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
0.862
Per class
Build CPU time
0.1837
Build memory
633215608
F measure
0.8195
Per class
Kappa
0.633
KB relative information score
63.2184
Mean absolute error
0.1809
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8196
Per class
Predictive accuracy
0.82
Prior entropy
0.99
Recall
0.82
Per class
Relative absolute error
0.3669
Root mean prior squared error
0.4964
Root mean squared error
0.4152
Root relative squared error
0.8364
SciMark benchmark
927.3354

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