DEVELOPMENT... OpenML
Run
9722

Run 9722

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I10
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9493
Per class
F measure
0.9052
Per class
Kappa
0.7925
KB relative information score
248.4463
Mean absolute error
0.1407
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
0.9057
Per class
Predictive accuracy
0.906
Prior entropy
0.9425
Recall
0.906
Per class
Relative absolute error
0.3057
Root mean prior squared error
0.4797
Root mean squared error
0.2777
Root relative squared error
0.5789
SciMark benchmark
944.1887[563.20332758402671016.0585376856843480.2065271424506901.45804913259251760.017229859821]