DEVELOPMENT... OpenML
Run
144596

Run 144596

Task 3899 (Supervised Classification) mozilla4 Uploaded 31-01-2015 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.

22 Evaluation measures

Area under ROC curve
0.9657
Per class
F measure
0.9422
Per class
Kappa
0.867
KB relative information score
12404.8607
Mean absolute error
0.0942
Mean prior absolute error
0.4412
Number of instances
15545
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9455
Per class
Predictive accuracy
0.9433
Prior entropy
0.9135
Recall
0.9433
Per class
Relative absolute error
0.2136
Root mean prior squared error
0.4697
Root mean squared error
0.2188
Root relative squared error
0.4659
SciMark benchmark
943.2817
UserCPU time millis
5080
UserCPU time millis testing
120
UserCPU time millis training
4960