DEVELOPMENT... OpenML
Run
118468

Run 118468

Task 266 (Supervised Classification) segment Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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.AdaBoostM1_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9981
Per class
Build CPU time
7.836
Build memory
184648504
F measure
0.9713
Per class
Kappa
0.9663
KB relative information score
736.9645
Mean absolute error
0.0107
Mean prior absolute error
0.2449
Number of instances
762
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.972
Per class
Predictive accuracy
0.9711
Prior entropy
2.8074
Recall
0.9711
Per class
Relative absolute error
0.0436
Root mean prior squared error
0.3499
Root mean squared error
0.0803
Root relative squared error
0.2295
SciMark benchmark
913.3372

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