Run
123292

Run 123292

Task 237 (Supervised Classification) audiology Uploaded 19-12-2014 by Joaquin Vanschoren
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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)_I40
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
0.6341
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.786
Cross-validation details (33% Holdout set)
Build memory
1431255800
Cross-validation details (33% Holdout set)
F measure
0.2347
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2633
Cross-validation details (33% Holdout set)
KB relative information score
5.3772
Cross-validation details (33% Holdout set)
Mean absolute error
0.0795
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0736
Cross-validation details (33% Holdout set)
Number of instances
74
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1733
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.3919
Cross-validation details (33% Holdout set)
Prior entropy
3.6349
Cross-validation details (33% Holdout set)
Recall
0.3919
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0796
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.1925
Cross-validation details (33% Holdout set)
Root mean squared error
0.1989
Cross-validation details (33% Holdout set)
Root relative squared error
1.033
Cross-validation details (33% Holdout set)
SciMark benchmark
943.521