DEVELOPMENT... OpenML
Run
105604

Run 105604

Task 3837 (Supervised Classification) hayes-roth Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9268
Per class
Build CPU time
0.0355
Build memory
2393392791.4546
F measure
0.8047
Per class
Kappa
0.5935
KB relative information score
79.0046
Mean absolute error
0.1839
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8097
Per class
Predictive accuracy
0.803
Prior entropy
0.9635
Recall
0.803
Per class
Relative absolute error
0.3876
Root mean prior squared error
0.4869
Root mean squared error
0.3596
Root relative squared error
0.7386
SciMark benchmark
909.8271