DEVELOPMENT... OpenML
Run
108741

Run 108741

Task 3716 (Supervised Classification) tecator 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
0.9806
Per class
Build CPU time
1.2727
Build memory
203666970.4
F measure
0.9333
Per class
Kappa
0.8636
KB relative information score
208.6484
Mean absolute error
0.0633
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9333
Per class
Predictive accuracy
0.9333
Prior entropy
0.984
Recall
0.9333
Per class
Relative absolute error
0.1294
Root mean prior squared error
0.4943
Root mean squared error
0.2354
Root relative squared error
0.4762
SciMark benchmark
922.3661