DEVELOPMENT... OpenML
Run
130906

Run 130906

Task 3799 (Supervised Classification) fri_c3_500_10 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
0.8536
Per class
Build CPU time
0.2395
Build memory
838872647.2
F measure
0.8202
Per class
Kappa
0.6382
KB relative information score
316.0778
Mean absolute error
0.1821
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8208
Per class
Predictive accuracy
0.82
Prior entropy
0.9945
Recall
0.82
Per class
Relative absolute error
0.367
Root mean prior squared error
0.4981
Root mean squared error
0.4202
Root relative squared error
0.8436
SciMark benchmark
927.3354