Run
3505

Run 3505

Task 2215 (Supervised Data Stream Classification) tae Uploaded 30-04-2014 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.

20 Evaluation measures

Area under ROC curve
0.6676
Per class
Confusion matrix
F measure
0.4878
Per class
Kappa
0.2412
KB relative information score
32.4411
Mean absolute error
0.3807
Mean prior absolute error
0.4444
Number of instances
151
Per class
Precision
0.516
Per class
Predictive accuracy
0.4967
Prior entropy
1.585
Recall
0.4967
Per class
Relative absolute error
0.8566
Root mean prior squared error
0.4714
Root mean squared error
0.477
Root relative squared error
1.012