DEVELOPMENT... OpenML
Run
108613

Run 108613

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

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8924
Per class
Build CPU time
0.0904
Build memory
606870169.0427
F measure
0.8207
Per class
Kappa
0.6372
KB relative information score
217.0015
Mean absolute error
0.2775
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
0.821
Per class
Predictive accuracy
0.8205
Prior entropy
0.9912
Recall
0.8205
Per class
Relative absolute error
0.562
Root mean prior squared error
0.4969
Root mean squared error
0.3649
Root relative squared error
0.7343
SciMark benchmark
939.0159