Run
10435291

Run 10435291

Task 4267 (Supervised Classification) lupus Uploaded 31-12-2019 by chimi wangmo
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Flow

weka.classifiers.trees.RandomForest(3)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.classifiers.trees.RandomForest(3)_P["100"]
weka.classifiers.trees.RandomForest(3)_O["false"]
weka.classifiers.trees.RandomForest(3)_store-out-of-bag-predictions["false"]
weka.classifiers.trees.RandomForest(3)_output-out-of-bag-complexity-statistics["false"]
weka.classifiers.trees.RandomForest(3)_print["false"]
weka.classifiers.trees.RandomForest(3)_attribute-importance["false"]
weka.classifiers.trees.RandomForest(3)_I["100"]
weka.classifiers.trees.RandomForest(3)_num-slots["1"]
weka.classifiers.trees.RandomForest(3)_K["0"]
weka.classifiers.trees.RandomForest(3)_M["1.0"]
weka.classifiers.trees.RandomForest(3)_V["0.001"]
weka.classifiers.trees.RandomForest(3)_S["1"]
weka.classifiers.trees.RandomForest(3)_U["false"]
weka.classifiers.trees.RandomForest(3)_B["false"]
weka.classifiers.trees.RandomForest(3)_output-debug-info["false"]
weka.classifiers.trees.RandomForest(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.

20 Evaluation measures

Area under ROC curve
0.7257 ± 0.1739
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.705 ± 0.1464
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3825 ± 0.2926
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.2958 ± 0.1925
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3426 ± 0.0853
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4813 ± 0.0087
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.708 ± 0.1376
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
870
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.7045 ± 0.1542
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.708 ± 0.1376
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9723 ± 0.0255
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7118 ± 0.1765
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4904 ± 0.0089
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4652 ± 0.0989
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9488 ± 0.2001
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
931.1106
Unweighted recall
0.688 ± 0.1448
Cross-validation details (10 times 10-fold Crossvalidation)