DEVELOPMENT... OpenML
Run
120069

Run 120069

Task 3891 (Supervised Classification) gina_agnostic 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)_I160
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
0.9766
Per class
Build CPU time
5055.9106
Build memory
893009778.1061
F measure
0.9444
Per class
Kappa
0.8887
KB relative information score
3078.965
Mean absolute error
0.0561
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9444
Per class
Predictive accuracy
0.9443
Prior entropy
0.9998
Recall
0.9443
Per class
Relative absolute error
0.1123
Root mean prior squared error
0.4999
Root mean squared error
0.2257
Root relative squared error
0.4514
SciMark benchmark
935.6292