DEVELOPMENT... OpenML
Run
118414

Run 118414

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)_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
0.8755
Per class
Build CPU time
1.0595
Build memory
78001255.9615
F measure
0.7679
Per class
Kappa
0.5333
KB relative information score
114.1667
Mean absolute error
0.2231
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
0.7703
Per class
Predictive accuracy
0.7692
Prior entropy
0.9968
Recall
0.7692
Per class
Relative absolute error
0.4482
Root mean prior squared error
0.4989
Root mean squared error
0.4416
Root relative squared error
0.8853
SciMark benchmark
945.0532