DEVELOPMENT... OpenML
Run
133459

Run 133459

Task 39 (Supervised Classification) sonar Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9234
Per class
Build CPU time
0.0761
Build memory
1399603106.6539
F measure
0.8312
Per class
Kappa
0.6604
KB relative information score
86.3178
Mean absolute error
0.312
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
0.8325
Per class
Predictive accuracy
0.8317
Prior entropy
0.9968
Recall
0.8317
Per class
Relative absolute error
0.6269
Root mean prior squared error
0.4989
Root mean squared error
0.3598
Root relative squared error
0.7213
SciMark benchmark
943.8094