Run
2347806

Run 2347806

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 29-05-2017 by Miguel Cachada
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Flow

weka.Bagging_LMT(4)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.LMT(6)_I-1
weka.LMT(6)_M15
weka.LMT(6)_W0.0
weka.Bagging_LMT(4)_P100
weka.Bagging_LMT(4)_S1
weka.Bagging_LMT(4)_num-slots1
weka.Bagging_LMT(4)_I10
weka.Bagging_LMT(4)_Wweka.classifiers.trees.LMT

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

0.9972 ± 0.0015
Per class
Cross-validation details (10-fold Crossvalidation)
0.9576 ± 0.0143
Per class
Cross-validation details (10-fold Crossvalidation)
0.9528 ± 0.016
Cross-validation details (10-fold Crossvalidation)
1897.3501 ± 2.4857
Cross-validation details (10-fold Crossvalidation)
0.0143 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
0.18
Cross-validation details (10-fold Crossvalidation)
2000
Per class
Cross-validation details (10-fold Crossvalidation)
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.4.0-78-generic']
0.958 ± 0.0141
Per class
Cross-validation details (10-fold Crossvalidation)
0.9575 ± 0.0144
Cross-validation details (10-fold Crossvalidation)
3.3219
Cross-validation details (10-fold Crossvalidation)
0.9575 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
0.0794 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
0.3
Cross-validation details (10-fold Crossvalidation)
0.0804 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
0.2681 ± 0.0355
Cross-validation details (10-fold Crossvalidation)
1552.2985
153990
Cross-validation details (10-fold Crossvalidation)
130
Cross-validation details (10-fold Crossvalidation)
153860
Cross-validation details (10-fold Crossvalidation)