Run
10416527

Run 10416527

Task 3902 (Supervised Classification) pc4 Uploaded 11-10-2019 by Jan van Rijn
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  • ReproducibleBenchmark weka weka_3.4.3
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Flow

weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.classifiers.trees.REPTree(1)_M["2"]
weka.classifiers.trees.REPTree(1)_V["0.001"]
weka.classifiers.trees.REPTree(1)_N["3"]
weka.classifiers.trees.REPTree(1)_S["1"]
weka.classifiers.trees.REPTree(1)_P["false"]
weka.classifiers.trees.REPTree(1)_L["-1"]
weka.classifiers.trees.REPTree(1)_I["0.0"]
weka.classifiers.trees.REPTree(1)_R["false"]
weka.classifiers.trees.REPTree(1)_output-debug-info["false"]
weka.classifiers.trees.REPTree(1)_-do-not-check-capabilities["false"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_Q["false"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_use-estimated-priors["false"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_P["100"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_L["-1.7976931348623157E308"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_H["1.0"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_Z["3.0"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_O["1"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_E["1"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_resume["false"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_S["1"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_I["10"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_W["weka.classifiers.trees.REPTree"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_output-debug-info["false"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(3)_-do-not-check-capabilities["false"]

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.

18 Evaluation measures

Area under ROC curve
0.9071 ± 0.019
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8871 ± 0.0231
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4474 ± 0.1147
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2776 ± 0.0855
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1225 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_222', 'amd64', 'Linux', '3.10.0-1062.1.1.el7.x86_64']
Precision
0.8835 ± 0.0257
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.893 ± 0.0224
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5353 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Recall
0.893 ± 0.0224
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5706 ± 0.0593
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2753 ± 0.0215
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.841 ± 0.0663
Cross-validation details (10-fold Crossvalidation)