Table 3 Description of performance evaluation matrices.
From: An AI-powered smart Agribot for detecting locusts in farmlands using IoT and deep learning
Metrics | Description |
|---|---|
Accuracy (A) | Shows the overall exact prediction percentage. \(\:\text{A}=\frac{TP+TN}{FP+TP+FN+TN}\times\:100\) |
Precision (P) | Defines as a way to compute a model’s quality. \(\:\text{P}=\frac{TP}{TP+FP}\times\:100\) |
Recall (R) | Describes as a measurement of model quantity. \(\:\text{R}=\frac{TP}{TP+FN}\times\:100\) |
F1-score (F1) | Shows how reliable and accurate a model is. \(\:\text{F}1=2\times\:\frac{R\times\:P}{R+P}\times\:100\) |
