Role of confusion matrix in understanding Cyber Crimes…

Let’s first look into the definition of Confusion matrix and what it is.

A confusion matrix is a table that is often used to describe the performance of a classification model (or “classifier”) on a set of test data for which the true values are known. The confusion matrix itself is relatively simple to understand, but the related terminology can be confusing.

There are various applications of Confusion Matrix in real life. We will be specifically looking with respect to Cyber Crime.

At present, there is no generalized framework is available to categorize cybercrime offenses by feature extraction of the cases. In the present work, data analysis and machine learning are incorporated to build a cybercrime detection and analytics system. The proposed system’s design and implementation utilize classification, clustering and supervised algorithms.

The below Table depicts the sample data of the dataset considered in the proposed model. The next phase of the approach is preprocessing that is used to remove the noisy information from the raw data.

Now we will train a classification model with this dataset.

NOTE- here it is not important to know the algorithm for model creation.

This is how Confusion Matrix play a vital role in the industry.