DEVELOPMENT... OpenML
Run
108404

Run 108404

Task 30 (Supervised Classification) page-blocks 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
0.8936
Per class
Build CPU time
0.1131
Build memory
49443816.1535
F measure
0.912
Per class
Kappa
0.5795
KB relative information score
1826.5264
Mean absolute error
0.0606
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8941
Per class
Predictive accuracy
0.9313
Prior entropy
0.6391
Recall
0.9313
Per class
Relative absolute error
0.796
Root mean prior squared error
0.1949
Root mean squared error
0.1531
Root relative squared error
0.7856
SciMark benchmark
936.1433