DEVELOPMENT... OpenML
Run
128486

Run 128486

Task 3779 (Supervised Classification) fri_c3_100_5 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
0.8994
Per class
Build CPU time
0.0023
Build memory
254974458.4
F measure
0.8102
Per class
Kappa
0.6154
KB relative information score
59.2443
Mean absolute error
0.2009
Mean prior absolute error
0.4929
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
0.8106
Per class
Predictive accuracy
0.81
Prior entropy
0.99
Recall
0.81
Per class
Relative absolute error
0.4076
Root mean prior squared error
0.4964
Root mean squared error
0.3947
Root relative squared error
0.7952
SciMark benchmark
943.5504