Run
10435312

Run 10435312

Task 4492 (Supervised Classification) humandevel 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
0.4808
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5
Per class
KB relative information score
-0.001 ± 0.0015
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.5004 ± 0.0005
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.5 ± 0.0387
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1300
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.5
Per class
Predictive accuracy
0.5 ± 0.0387
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.0007 ± 0.001
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5004 ± 0.0006
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0009 ± 0.0011
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
931.1106
Unweighted recall
0.5
Cross-validation details (10 times 10-fold Crossvalidation)