DEVELOPMENT... OpenML
Run
8471

Run 8471

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)_I80
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
0.9648
Per class
F measure
0.9194
Per class
Kappa
0.8236
KB relative information score
284.9713
Mean absolute error
0.0845
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
0.9203
Per class
Predictive accuracy
0.9202
Prior entropy
0.9425
Recall
0.9202
Per class
Relative absolute error
0.1835
Root mean prior squared error
0.4797
Root mean squared error
0.2523
Root relative squared error
0.5259
SciMark benchmark
946.3377[559.05150768537421014.9881711071126482.14720472367435914.34953743383911761.152276377127]