DEVELOPMENT... OpenML
Run
130842

Run 130842

Task 3726 (Supervised Classification) sleuth_ex2016 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)_I160
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
0.7185
Per class
Build CPU time
0.0555
Build memory
346240394.5747
F measure
0.6889
Per class
Kappa
0.3771
KB relative information score
33.4688
Mean absolute error
0.3066
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6898
Per class
Predictive accuracy
0.6897
Prior entropy
0.9992
Recall
0.6897
Per class
Relative absolute error
0.6138
Root mean prior squared error
0.4997
Root mean squared error
0.5508
Root relative squared error
1.1023
SciMark benchmark
927.3354