DEVELOPMENT... OpenML
Run
10374

Run 10374

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)_I20
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.

17 Evaluation measures

Area under ROC curve
0.9578
Per class
F measure
0.9107
Per class
Kappa
0.8043
KB relative information score
265.6927
Mean absolute error
0.1152
Mean prior absolute error
0.4604
Number of instances
351
Per class
Precision
0.9117
Per class
Predictive accuracy
0.9117
Prior entropy
0.9425
Recall
0.9117
Per class
Relative absolute error
0.2503
Root mean prior squared error
0.4797
Root mean squared error
0.2574
Root relative squared error
0.5365