DEVELOPMENT... OpenML
Run
116140

Run 116140

Task 3683 (Supervised Classification) diggle_table_a2 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I160
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9966
Per class
Build CPU time
0.0079
Build memory
1057185444.8
F measure
0.9968
Per class
Kappa
0.9935
KB relative information score
307.9762
Mean absolute error
0.0032
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
0.9968
Per class
Predictive accuracy
0.9968
Prior entropy
0.997
Recall
0.9968
Per class
Relative absolute error
0.0065
Root mean prior squared error
0.499
Root mean squared error
0.0568
Root relative squared error
0.1138
SciMark benchmark
933.4498