Plot confusion matrix using ggplot2

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Confusion matrix
Confusion matrix represents the difference between the actual and predicted classifications of a model. It is used to easily recognize how often a classification system mislabels one classification as another.
A confusion matrix is a table that is used to define the performance of a classification algorithm. A confusion matrix visualizes and summarizes the performance of a classification algorithm.
Confusion matrix is a table used in machine learning and statistics to assess the performance of a classification model.
Run the packages
Note that packages must be installed only once, whereas packages must be loaded every time you open R.
Packages used :
* library(ggplot2) * library(scales) * library(caret) * library(dplyr) * library(viridis)
Open data
In R, we can read data into various file formats like csv, excel, xml etc. In this video, we will learn how to read data from a csv file. The file should be present in current working directory so that R can read it. Of course, we can also set our own directory and read files from there.
as. factor function
as. factor() function in R Programming Language is used to convert the passed object(usually Vector) into a Factor. Parameters: Object: Vector to be converted.
What is the function of confusion matrix in R ?
In R Programming the Confusion Matrix can be visualized using confusionMatrix() function which is present in the caret package. where, data – a factor of predicted classes. reference – a factor of classes to be used as the true results.
Plot confusion matrix using ggplot2
The script below is ready for use, but you can change:
- Accuracy and kappa index ;
- scale fill ;
- scale x discrete labels ;
- scale y discrete labels ; - geom text display : percent or total

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