Run
118414

Run 118414

Task 39 (Supervised Classification) sonar Uploaded 10-12-2014 by Joaquin Vanschoren
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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
0.8755
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
1.0595
Cross-validation details (10-fold Crossvalidation)
Build memory
78001255.9615
Cross-validation details (10-fold Crossvalidation)
F measure
0.7679
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5333
Cross-validation details (10-fold Crossvalidation)
KB relative information score
114.1667
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2231
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Number of instances
208
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7692
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9968
Cross-validation details (10-fold Crossvalidation)
Recall
0.7692
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4482
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4416
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8853
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.0532