DEVELOPMENT... OpenML
Run
105663

Run 105663

Task 3909 (Supervised Classification) ar1 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
0.7039
Per class
Build CPU time
0.1434
Build memory
1350170577.5868
F measure
0.9031
Per class
Kappa
0.1591
KB relative information score
27.7193
Mean absolute error
0.0754
Mean prior absolute error
0.1436
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9006
Per class
Predictive accuracy
0.9256
Prior entropy
0.4067
Recall
0.9256
Per class
Relative absolute error
0.525
Root mean prior squared error
0.2625
Root mean squared error
0.2701
Root relative squared error
1.0289
SciMark benchmark
944.3832