Run
6042836

Run 6042836

Task 14 (Supervised Classification) mfeat-fourier Uploaded 23-07-2017 by Miguel Cachada
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Flow

weka.RandomSubSpace_Logistic(1)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
weka.Logistic(8)_R8.855415999229283E-5
weka.Logistic(8)_M-1
weka.Logistic(8)_num-decimal-places4
weka.RandomSubSpace_Logistic(1)_P0.5366227601745422
weka.RandomSubSpace_Logistic(1)_S1
weka.RandomSubSpace_Logistic(1)_num-slots1
weka.RandomSubSpace_Logistic(1)_I13
weka.RandomSubSpace_Logistic(1)_Wweka.classifiers.functions.Logistic

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

Area under ROC curve
0.9789
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8235
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.805
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1607.8712
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0565
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_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8227
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8245
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8245
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3141
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1568
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5226
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1767.2987
UserCPU time millis
704050
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
190
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
703860
Cross-validation details (10-fold Crossvalidation)