Run
306495

Run 306495

Task 4278 (Supervised Classification) mnist_784 Uploaded 19-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.9853
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9735
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9706
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
680537.6992
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0053
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1799
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
700000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9736
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9736
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9736
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0294
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0727
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2424
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1345.842
UserCPU time millis
55407130
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
55406740
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
390
Cross-validation details (10 times 10-fold Crossvalidation)