A Novel Hybrid Feature Selection with Cascaded LSTM: Enhancing Security in IoT Networks

Table 2

Performance metrics.

Metrics	Formula
Accuracy: Quantifies the fraction of accurately categorized instances among the entire set
Precision: Determines the fraction of accurate positive forecasts in relation to the total positive forecasts
Recall: Quantifies the relationship between accurate positive predictions and the overall number of actual positive instances
F1-score: Strikes a balance between precision and recall by taking their harmonic mean