This article will make you understand confusion matrix and it’s usage in cyber security.
Let’s first understand the term confusion matrix -
The term confusion matrix in machine learning is used in prediction analysis. To put it in simple word the main goal of a machine learning model is to give high accuracy in prediction. So to measure the performance of the prediction we use confusion matrix.
The attribute that we get after the prediction of the confusion matrix are True Positive, False Positive, True Negative, False Negative which are used in visualizing important predictive analytics like recall, specificity, accuracy…
Docker is a software platform that allows you to build, test, and deploy applications quickly. Docker packages software into standardized units called containers that have everything the software needs to run including libraries, system tools, code, and runtime.
Docker Containerise two types of application-
This article will show you how to Containerise GUI Application inside a Docker Container. Here we will be Launching Jupyter Notebook inside a Docker Container. …
This article will give you the general idea about the deployment of ML model inside a Docker Container, but you can use this method to deploy any ML model inside a Docker Container. This will be easy and fun to integrate two technologies together. NOW LET’S GET INTO IT !!
We will be using Red Hat Linux 8 as the Docker host and Centos Docker image which will contain all the file for the ML model. Here the Machine Learning model which we are going to use is Linear Regression model
Now, Let us first understand, what is LINEAR REGRESSION…