Run
8485

Run 8485

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 by Joaquin Vanschoren
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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
Cross-validation details (10-fold Crossvalidation)
F measure
0.9282
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8428
Cross-validation details (10-fold Crossvalidation)
KB relative information score
281.2788
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.093
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9289
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9288
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9288
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.202
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2427
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5058
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.4609[563.56724519425261015.2555353338006480.4213690634573916.90802019261121761.152276377127]