DEVELOPMENT... OpenML
Run
108387

Run 108387

Task 11 (Supervised Classification) balance-scale 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
0.8817
Per class
Build CPU time
0.0099
Build memory
972875428.48
F measure
0.6918
Per class
Kappa
0.4837
KB relative information score
155.6026
Mean absolute error
0.3108
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6657
Per class
Predictive accuracy
0.7216
Prior entropy
1.3212
Recall
0.7216
Per class
Relative absolute error
0.8184
Root mean prior squared error
0.4356
Root mean squared error
0.3589
Root relative squared error
0.8239
SciMark benchmark
873.8637