Run
6060424

Run 6060424

Task 28 (Supervised Classification) optdigits Uploaded 03-08-2017 by Miguel Cachada
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Flow

weka.RandomSubSpace_KStar(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.KStar(6)_B14
weka.KStar(6)_Mm
weka.RandomSubSpace_KStar(1)_P0.18104309390360523
weka.RandomSubSpace_KStar(1)_S1
weka.RandomSubSpace_KStar(1)_num-slots1
weka.RandomSubSpace_KStar(1)_I54
weka.RandomSubSpace_KStar(1)_Wweka.classifiers.lazy.KStar

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
0.9988
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9711
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.968
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4525.7095
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0656
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
5620
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9714
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9712
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.9712
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3645
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1323
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.441
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1731.9232
UserCPU time millis
3739000
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
3738930
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)