Monkey_Pox_Classification_Model-

Introduction

• The Monkeypox virus (MPXV) was first discovered and reported by the Statens Serum Institut (Copenhagen, Denmark) in 1958 , after two outbreaks of the disease were discovered in cynomolgus macaques.

• The first human case of monkeypox was recorded in August 1970 from the remote town of Bokenda in the province of the equatorial of Democratic Republic of the Congo (DRC).

Objective

This Prediction is a research analysis process on data using classification algorithms to compare the accuracy rate for each algorithm given below on this Monkey Pox data such as

1. K-Neighbors Classifier
2. RandomForest Classifier
3. AdaBoost Classifier
4. Bagging Classifier
5. Gradient Boosting Classifier
6. Decision Tree Classifier

• The purpose of this research analysis is to find which model is suitable and from which algorithm it is best for the given dataset.

Creator : Anandan Raju

Table Of Contents

1. Import Libraries
2. Checking Dataset
3. Data Preprocessing
4. Exploratory Data Analysis
5. Correlation Analysis
6. Train and Test Split
7. Model Output Processing
8. Model Training
9. Model Evaluation
10. Final Summary Report