DEVELOPMENT... OpenML
Run
129656

Run 129656

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)_I40
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
0.8384
Per class
Build CPU time
0.019
Build memory
751041580
F measure
0.7901
Per class
Kappa
0.579
KB relative information score
55.7277
Mean absolute error
0.2212
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
0.7904
Per class
Predictive accuracy
0.79
Prior entropy
0.9975
Recall
0.79
Per class
Relative absolute error
0.444
Root mean prior squared error
0.4991
Root mean squared error
0.4452
Root relative squared error
0.8921
SciMark benchmark
916.8903