Run
4517

Run 4517

Task 1 (Supervised Classification) anneal Uploaded 18-10-2024 by Jan van Rijn
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Flow

weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.classifiers.trees.J48(1)_U["false"]
weka.classifiers.trees.J48(1)_O["false"]
weka.classifiers.trees.J48(1)_M["2"]
weka.classifiers.trees.J48(1)_R["true"]
weka.classifiers.trees.J48(1)_N["3"]
weka.classifiers.trees.J48(1)_B["false"]
weka.classifiers.trees.J48(1)_S["false"]
weka.classifiers.trees.J48(1)_L["false"]
weka.classifiers.trees.J48(1)_A["false"]
weka.classifiers.trees.J48(1)_J["false"]
weka.classifiers.trees.J48(1)_Q["1"]
weka.classifiers.trees.J48(1)_-doNotMakeSplitPointActualValue["false"]
weka.classifiers.trees.J48(1)_output-debug-info["false"]
weka.classifiers.trees.J48(1)_-do-not-check-capabilities["false"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_P["50"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_O["false"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_store-out-of-bag-predictions["false"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_output-out-of-bag-complexity-statistics["false"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_represent-copies-using-weights["false"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_print["false"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_S["4385"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_num-slots["4"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_I["10"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_W["weka.classifiers.trees.J48"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_output-debug-info["false"]
weka.classifiers.meta.Bagging(weka.classifiers.trees.J48)(1)_-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

0.9746 ± 0.0144
Per class
0.9072 ± 0.0191
Per class
0.7711 ± 0.0762
0.6876 ± 0.0615
0.0559 ± 0.0077
0.1343 ± 0.0012
0.9143 ± 0.0267
898
Per class
['Eclipse Adoptium', '17.0.7', 'x86_64', 'Mac OS X', '12.5.1']
0.9104 ± 0.0219
Per class
0.9143 ± 0.0267
1.1915 ± 0.0248
0.4161 ± 0.0564
0.2582 ± 0.0024
0.1491 ± 0.0193
0.5776 ± 0.0737