DEVELOPMENT... OpenML
Run
67166

Run 67166

Task 57 (Supervised Classification) ionosphere Uploaded 30-11-2014 by Felicia West
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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
Build CPU time
0.1569
Build memory
99454054.0627
F measure
0.8668
Per class
Kappa
0.7071
KB relative information score
243.1834
Mean absolute error
0.1386
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8686
Per class
Predictive accuracy
0.8689
Prior entropy
0.9425
Recall
0.8689
Per class
Relative absolute error
0.301
Root mean prior squared error
0.4797
Root mean squared error
0.3302
Root relative squared error
0.6884
SciMark benchmark
942.1551