Use Machine Learning And GridDB To Detect Phishing Websites - AI Summary

So, if you get to the website, there are also some tips that would help you detect a phishing website. Since the dataset downloaded from the UCI website is an ARFF file, there's a need to convert it into a CSV file so we can use it in our Python code. All these values determine what the result would be, the Result column also has 1 and -1 values which represent Phishing Website and Not a Phishing Website respectively. This stage is where we build a model to predict if a website is a phishing website or not We would use a Decision Trees Classifier. The dataset has many columns but only the last column represents the result of the predictions if the values in all other columns are true.