Run
10416532

Run 10416532

Task 3918 (Supervised Classification) pc1 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
0.8485 ± 0.0561
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9168 ± 0.0221
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2842 ± 0.1797
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0913 ± 0.1823
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0999 ± 0.015
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
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
0.9114 ± 0.0256
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.927 ± 0.0214
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3638 ± 0.0159
Cross-validation details (10-fold Crossvalidation)
Recall
0.927 ± 0.0214
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7693 ± 0.1048
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2421 ± 0.0313
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9526 ± 0.1102
Cross-validation details (10-fold Crossvalidation)