DEVELOPMENT... OpenML
Run
129005

Run 129005

Task 3683 (Supervised Classification) diggle_table_a2 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)_I20
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
0.9904
Per class
Build CPU time
0.0127
Build memory
913500132
F measure
0.9903
Per class
Kappa
0.9805
KB relative information score
302.2403
Mean absolute error
0.0129
Mean prior absolute error
0.4979
Number of instances
310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9905
Per class
Predictive accuracy
0.9903
Prior entropy
0.997
Recall
0.9903
Per class
Relative absolute error
0.026
Root mean prior squared error
0.499
Root mean squared error
0.1028
Root relative squared error
0.206
SciMark benchmark
909.5718