DEVELOPMENT... OpenML
Run
129580

Run 129580

Task 3653 (Supervised Classification) triazines 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
0.8795
Per class
Build CPU time
0.0596
Build memory
323274160.8602
F measure
0.8116
Per class
Kappa
0.6114
KB relative information score
93.0197
Mean absolute error
0.2507
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8115
Per class
Predictive accuracy
0.8118
Prior entropy
0.979
Recall
0.8118
Per class
Relative absolute error
0.5166
Root mean prior squared error
0.4925
Root mean squared error
0.3707
Root relative squared error
0.7526
SciMark benchmark
916.8903