DEVELOPMENT... OpenML
Run
122847

Run 122847

Task 269 (Supervised Classification) sonar Uploaded 15-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(2)_I80
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8187
Per class
Build CPU time
66.642
Build memory
210512800
F measure
0.8085
Per class
Kappa
0.6136
KB relative information score
41.2694
Mean absolute error
0.1946
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
0.8086
Per class
Predictive accuracy
0.8088
Prior entropy
0.9968
Recall
0.8088
Per class
Relative absolute error
0.3916
Root mean prior squared error
0.4982
Root mean squared error
0.4313
Root relative squared error
0.8658
SciMark benchmark
942.3945