Run
10416950

Run 10416950

Task 14954 (Supervised Classification) cylinder-bands Uploaded 12-10-2019 by Jan van Rijn
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  • ReproducibleBenchmark weka weka_3.4.3
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Flow

weka.classifiers.trees.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.classifiers.trees.RandomForest(1)_P["100"]
weka.classifiers.trees.RandomForest(1)_O["false"]
weka.classifiers.trees.RandomForest(1)_store-out-of-bag-predictions["false"]
weka.classifiers.trees.RandomForest(1)_output-out-of-bag-complexity-statistics["false"]
weka.classifiers.trees.RandomForest(1)_print["false"]
weka.classifiers.trees.RandomForest(1)_attribute-importance["false"]
weka.classifiers.trees.RandomForest(1)_I["100"]
weka.classifiers.trees.RandomForest(1)_num-slots["1"]
weka.classifiers.trees.RandomForest(1)_K["0"]
weka.classifiers.trees.RandomForest(1)_M["1.0"]
weka.classifiers.trees.RandomForest(1)_V["0.001"]
weka.classifiers.trees.RandomForest(1)_S["1"]
weka.classifiers.trees.RandomForest(1)_U["false"]
weka.classifiers.trees.RandomForest(1)_B["false"]
weka.classifiers.trees.RandomForest(1)_output-debug-info["false"]
weka.classifiers.trees.RandomForest(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

Area under ROC curve
0.9064 ± 0.0541
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7426 ± 0.0461
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4763 ± 0.0872
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2626 ± 0.0528
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3793 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
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
0.7874 ± 0.0367
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7593 ± 0.0381
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9825 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Recall
0.7593 ± 0.0381
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7774 ± 0.0462
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4073 ± 0.022
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8247 ± 0.0443
Cross-validation details (10-fold Crossvalidation)