Welcome to the Devcomm Machine Learning Recruitment Competition! We are excited to see your skills in action as you tackle a real-world problem with significant environmental and societal impact. This competition will serve as a platform for you to demonstrate your machine learning prowess and innovative thinking.

#Competition Overview

In this competition, your task is to predict the confidence level of forest fires. The confidence level is a measure of how likely it is that a fire has occurred in a specific area based on various environmental factors. Accurate predictions can help in early detection and efficient allocation of resources to combat forest fires.

# Problem Statement
Forest fires are a critical environmental issue that can cause massive destruction to ecosystems, wildlife, and human settlements. Your objective is to develop a machine learning model that predicts the confidence level of forest fires using provided datasets.