DEVELOPMENT... OpenML
Run
128321

Run 128321

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.8397
Per class
Build CPU time
0.0057
Build memory
501653857.1624
F measure
0.7626
Per class
Kappa
0.519
KB relative information score
194.3685
Mean absolute error
0.2996
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7625
Per class
Predictive accuracy
0.7628
Prior entropy
0.9912
Recall
0.7628
Per class
Relative absolute error
0.6067
Root mean prior squared error
0.4969
Root mean squared error
0.405
Root relative squared error
0.815
SciMark benchmark
943.5504