DEVELOPMENT... OpenML
Run
116898

Run 116898

Task 39 (Supervised Classification) sonar 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
0.8848
Per class
Build CPU time
6.8982
Build memory
736193460.4615
F measure
0.8697
Per class
Kappa
0.738
KB relative information score
153.6055
Mean absolute error
0.1299
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8713
Per class
Predictive accuracy
0.8702
Prior entropy
0.9968
Recall
0.8702
Per class
Relative absolute error
0.261
Root mean prior squared error
0.4989
Root mean squared error
0.3544
Root relative squared error
0.7105
SciMark benchmark
937.9603