DEVELOPMENT... OpenML
Run
129497

Run 129497

Task 3559 (Supervised Classification) confidence 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
0.9356
Per class
Build CPU time
0.0077
Build memory
1292364772.2222
F measure
0.8081
Per class
Kappa
0.7667
KB relative information score
55.3882
Mean absolute error
0.0753
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8167
Per class
Predictive accuracy
0.8056
Prior entropy
2.585
Recall
0.8056
Per class
Relative absolute error
0.271
Root mean prior squared error
0.3727
Root mean squared error
0.244
Root relative squared error
0.6548
SciMark benchmark
916.8903