DEVELOPMENT... OpenML
Run
1099

Run 1099

Task 163 (Supervised Data Stream Classification) BNG(optdigits) Uploaded 09-04-2014 by Jason
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Flow

moa.kNN(1)Moa implementation of kNN
moa.kNN(1)_k10
moa.kNN(1)_nLinearNN
moa.kNN(1)_w1000

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
0.9905
Per class
Confusion matrix
F measure
0.8906
Per class
Kappa
0.8788
KB relative information score
842266.0591
Mean absolute error
0.0472
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.8982
Per class
Predictive accuracy
0.891
Prior entropy
3.3219
Ram hours
0.0002
Recall
0.891
Per class
Relative absolute error
0.2625
Root mean prior squared error
0.3
Root mean squared error
0.1355
Root relative squared error
0.4517
Run CPU time
1320.42