DEVELOPMENT... OpenML
Run
129669

Run 129669

Task 3756 (Supervised Classification) visualizing_hamster 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
0.625
Per class
Build CPU time
0.0109
Build memory
1082990547.726
F measure
0.6132
Per class
Kappa
0.2175
KB relative information score
16.1211
Mean absolute error
0.3863
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6137
Per class
Predictive accuracy
0.6164
Prior entropy
0.9937
Recall
0.6164
Per class
Relative absolute error
0.7796
Root mean prior squared error
0.4977
Root mean squared error
0.5927
Root relative squared error
1.191
SciMark benchmark
916.8903