Run
10416772

Run 10416772

Task 18 (Supervised Classification) mfeat-morphological 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
0.9524 ± 0.0104
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6996 ± 0.0351
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6672 ± 0.0383
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.7288 ± 0.0225
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0683 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.6999 ± 0.0365
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7005 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7005 ± 0.0344
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3793 ± 0.0201
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.202 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6733 ± 0.0298
Cross-validation details (10-fold Crossvalidation)