DEVELOPMENT... OpenML
Run
129522

Run 129522

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)_I40
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
0.8499
Per class
Build CPU time
0.0329
Build memory
379693538.6667
F measure
0.7755
Per class
Kappa
0.545
KB relative information score
213.0819
Mean absolute error
0.2769
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
0.7754
Per class
Predictive accuracy
0.7756
Prior entropy
0.9912
Recall
0.7756
Per class
Relative absolute error
0.5607
Root mean prior squared error
0.4969
Root mean squared error
0.4037
Root relative squared error
0.8124
SciMark benchmark
916.8903