Run
10435202

Run 10435202

Task 4360 (Supervised Classification) elusage Uploaded 30-12-2019 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
0.9375 ± 0.0898
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8552 ± 0.1386
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7045 ± 0.2876
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.6739 ± 0.2352
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1636 ± 0.1122
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4922 ± 0.0071
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.8564 ± 0.1365
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
550
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Oracle Corporation', '13.0.1', 'amd64', 'Windows 7', '6.1']
Precision
0.8577 ± 0.114
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8564 ± 0.1365
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9883 ± 0.0207
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3324 ± 0.2274
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4959 ± 0.0072
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3245 ± 0.1695
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6542 ± 0.3414
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
964.8373
Unweighted recall
0.8481 ± 0.1451
Cross-validation details (10 times 10-fold Crossvalidation)