DEVELOPMENT... OpenML
Run
114500

Run 114500

Task 3650 (Supervised Classification) wind_correlations 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)_I20
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
0.9516
Per class
Build CPU time
0.0212
Build memory
1103884767.8222
F measure
0.8888
Per class
Kappa
0.7774
KB relative information score
34.6796
Mean absolute error
0.1157
Mean prior absolute error
0.4998
Number of instances
45
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8896
Per class
Predictive accuracy
0.8889
Prior entropy
0.9997
Recall
0.8889
Per class
Relative absolute error
0.2315
Root mean prior squared error
0.4999
Root mean squared error
0.3259
Root relative squared error
0.6519
SciMark benchmark
933.4498