Deep Learning-Based Efficient Model Development for Phishing Detection Using Random Forest and BLSTM Classifiers

Table 1

LSTM model description.

S/no	Parameters	Description
1.	Total number of layers	7
2.	No. of hidden layers	5
3.	Activation function	ReLU
4.	Total number of instances	2456
5.	Number of total keywords	30