Run
67166

Run 67166

Task 57 (Supervised Classification) ionosphere Uploaded 30-11-2014 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_Logistic(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.Logistic(2)_M-1
weka.Logistic(2)_R1.0E-8
weka.RealAdaBoost_Logistic(1)_P100
weka.RealAdaBoost_Logistic(1)_H1.0
weka.RealAdaBoost_Logistic(1)_S1
weka.RealAdaBoost_Logistic(1)_I10
weka.RealAdaBoost_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.8796
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.1569
Cross-validation details (10-fold Crossvalidation)
Build memory
99454054.0627
Cross-validation details (10-fold Crossvalidation)
F measure
0.8668
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7071
Cross-validation details (10-fold Crossvalidation)
KB relative information score
243.1834
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1386
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.8686
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8689
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8689
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.301
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3302
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6884
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.1551