DEVELOPMENT... OpenML
Run
128455

Run 128455

Task 3742 (Supervised Classification) fri_c4_100_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)_I10
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
0.8322
Per class
Build CPU time
0.0033
Build memory
455176400
F measure
0.7698
Per class
Kappa
0.5378
KB relative information score
48.9799
Mean absolute error
0.257
Mean prior absolute error
0.4982
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
0.7698
Per class
Predictive accuracy
0.77
Prior entropy
0.9975
Recall
0.77
Per class
Relative absolute error
0.5159
Root mean prior squared error
0.4991
Root mean squared error
0.4381
Root relative squared error
0.8777
SciMark benchmark
929.5397