DEVELOPMENT... OpenML
Run
7640

Run 7640

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)_I160
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
0.9689
Per class
F measure
0.9305
Per class
Kappa
0.8472
KB relative information score
292.5745
Mean absolute error
0.0747
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
0.9337
Per class
Predictive accuracy
0.9316
Prior entropy
0.9425
Recall
0.9316
Per class
Relative absolute error
0.1623
Root mean prior squared error
0.4797
Root mean squared error
0.2509
Root relative squared error
0.5231
SciMark benchmark
910.0035[557.4434863238911014.9881073746852484.75925509327664912.12245438067161580.7043282001455]