DEVELOPMENT... OpenML
Run
135258

Run 135258

Task 39 (Supervised Classification) sonar Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7044
Per class
Build CPU time
0.0038
Build memory
2400644564.1539
F measure
0.7064
Per class
Kappa
0.4096
KB relative information score
85.2012
Mean absolute error
0.2933
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
0.7063
Per class
Predictive accuracy
0.7067
Prior entropy
0.9968
Recall
0.7067
Per class
Relative absolute error
0.5892
Root mean prior squared error
0.4989
Root mean squared error
0.5415
Root relative squared error
1.0855
SciMark benchmark
939.084