DEVELOPMENT... OpenML
Run
113305

Run 113305

Task 3590 (Supervised Classification) analcatdata_vineyard Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I10
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9246
Per class
Build CPU time
0.015
Build memory
855442594.7863
F measure
0.8441
Per class
Kappa
0.6846
KB relative information score
317.493
Mean absolute error
0.1581
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
0.8443
Per class
Predictive accuracy
0.844
Prior entropy
0.9912
Recall
0.844
Per class
Relative absolute error
0.3201
Root mean prior squared error
0.4969
Root mean squared error
0.3845
Root relative squared error
0.7738
SciMark benchmark
936.1433