DEVELOPMENT... OpenML
Run
105368

Run 105368

Task 3561 (Supervised Classification) profb 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
0.6517
Per class
Build CPU time
0.2094
Build memory
719012982.8452
F measure
0.6327
Per class
Kappa
0.1531
KB relative information score
69.4422
Mean absolute error
0.3874
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6269
Per class
Predictive accuracy
0.6488
Prior entropy
0.9188
Recall
0.6488
Per class
Relative absolute error
0.8713
Root mean prior squared error
0.4714
Root mean squared error
0.4783
Root relative squared error
1.0146
SciMark benchmark
920.2722