DEVELOPMENT... OpenML
Run
108542

Run 108542

Task 3045 (Supervised Classification) wine 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
0.943
Per class
Build CPU time
0.091
Build memory
187558216
F measure
0.8286
Per class
Kappa
0.7337
KB relative information score
42.2336
Mean absolute error
0.1273
Mean prior absolute error
0.4356
Number of instances
58
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8322
Per class
Predictive accuracy
0.8276
Prior entropy
1.5674
Recall
0.8276
Per class
Relative absolute error
0.2924
Root mean prior squared error
0.4648
Root mean squared error
0.3311
Root relative squared error
0.7124
SciMark benchmark
922.3661