DEVELOPMENT... OpenML
Run
105500

Run 105500

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.7164
Per class
Build CPU time
0.0483
Build memory
118583713.2874
F measure
0.6539
Per class
Kappa
0.3073
KB relative information score
28.9299
Mean absolute error
0.3324
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6554
Per class
Predictive accuracy
0.6552
Prior entropy
0.9992
Recall
0.6552
Per class
Relative absolute error
0.6656
Root mean prior squared error
0.4997
Root mean squared error
0.5582
Root relative squared error
1.1171
SciMark benchmark
902.0906