DEVELOPMENT... OpenML
Run
105398

Run 105398

Task 3613 (Supervised Classification) servo 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
0.9726
Per class
Build CPU time
0.0114
Build memory
745238377.1018
F measure
0.9583
Per class
Kappa
0.8819
KB relative information score
138.4609
Mean absolute error
0.0518
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9586
Per class
Predictive accuracy
0.9581
Prior entropy
0.7794
Recall
0.9581
Per class
Relative absolute error
0.1465
Root mean prior squared error
0.4193
Root mean squared error
0.2062
Root relative squared error
0.4917
SciMark benchmark
933.1799