DEVELOPMENT... OpenML
Run
117368

Run 117368

Task 3917 (Supervised Classification) kc1 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)_I80
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
0.7797
Per class
Build CPU time
31.73
Build memory
442297876.2598
F measure
0.8393
Per class
Kappa
0.3427
KB relative information score
406.977
Mean absolute error
0.1741
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8336
Per class
Predictive accuracy
0.8525
Prior entropy
0.622
Recall
0.8525
Per class
Relative absolute error
0.6656
Root mean prior squared error
0.3615
Root mean squared error
0.343
Root relative squared error
0.9487
SciMark benchmark
913.3372