DEVELOPMENT... OpenML
Run
120115

Run 120115

Task 269 (Supervised Classification) sonar Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.7376
Per class
Build CPU time
4.838
Build memory
1417894136
F measure
0.6907
Per class
Kappa
0.3759
KB relative information score
26.8053
Mean absolute error
0.2996
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
0.6905
Per class
Predictive accuracy
0.6912
Prior entropy
0.9968
Recall
0.6912
Per class
Relative absolute error
0.6028
Root mean prior squared error
0.4982
Root mean squared error
0.5361
Root relative squared error
1.0761
SciMark benchmark
924.6733