DEVELOPMENT... OpenML
Run
118464

Run 118464

Task 269 (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
0.7707
Per class
Build CPU time
0.681
Build memory
156268624
F measure
0.7353
Per class
Kappa
0.4664
KB relative information score
29.5576
Mean absolute error
0.2818
Mean prior absolute error
0.4971
Number of instances
68
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7353
Per class
Predictive accuracy
0.7353
Prior entropy
0.9968
Recall
0.7353
Per class
Relative absolute error
0.5669
Root mean prior squared error
0.4982
Root mean squared error
0.4994
Root relative squared error
1.0025
SciMark benchmark
937.6343