Hands-On Machine Learning for Cybersecurity

Model

The logistic regression model is a regression model that can be used to categorize data using a logistic function. These mostly consist of a dependent binary variable that is used to estimate the outcome of the logistic model, as shown in the following diagram:

To start with our use case, we first import the respective packages using the following code:

import pandas as pdimport numpy as npimport randomimport picklefrom sklearn.model_selection import train_test_splitfrom sklearn.feature_extraction.text import TfidfVectorizerfrom sklearn.linear_model import LogisticRegression

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