Run
160416

Run 160416

Task 6801 (Supervised Data Stream Classification) vehicle_sensIT Uploaded 14-02-2015 by Jan van Rijn
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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.

18 Evaluation measures

Area under ROC curve
0.8076
Per class
Confusion matrix
F measure
0.6992
Per class
Kappa
0.4266
KB relative information score
32570.0562
Mean absolute error
0.3469
Mean prior absolute error
0.5
Number of instances
98528
Per class
Precision
0.7626
Per class
Predictive accuracy
0.7133
Prior entropy
1
Recall
0.7133
Per class
Relative absolute error
0.6938
Root mean prior squared error
0.5
Root mean squared error
0.4364
Root relative squared error
0.8729