Table 5 Confusion matrix for the proposed SVM-based traffic prediction model.

From: A hybrid support vector machine and neural network model with fuzzy logic fusion for smart city traffic prediction

No. of Samples = 1243

Predicted (\({\mathcal{P}}_{0},{\mathcal{P}}_{1})\)

Output Actual (\({\mathcal{A}}_{0}{,\mathcal{A}}_{1}\))

\({\mathcal{P}}_{0}\left(\text{Negative}\right)\)

\({\mathcal{P}}_{1}\left(\text{Positive}\right)\)

\({\mathcal{A}}_{0}=463\)(\(Negative\))

454

8

\({\mathcal{A}}_{1}=780\) \(\left(Positive\right)\)

9

772

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