DEVELOPMENT... OpenML
Run
8485

Run 8485

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)_I40
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
0.9643
Per class
F measure
0.9282
Per class
Kappa
0.8428
KB relative information score
281.2788
Mean absolute error
0.093
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
0.9289
Per class
Predictive accuracy
0.9288
Prior entropy
0.9425
Recall
0.9288
Per class
Relative absolute error
0.202
Root mean prior squared error
0.4797
Root mean squared error
0.2427
Root relative squared error
0.5058
SciMark benchmark
947.4609[563.56724519425261015.2555353338006480.4213690634573916.90802019261121761.152276377127]