Research and build a malicious transaction detection model using machine learning $($ML$).$ You can implement a

ML$-$based model, such as SVM$,$ decision tree, or neural network, to classify the data into normal or malicious

categories. To achieve this, you can use additional feature calculation and any necessary numerical conversion

of string data. You should also split the data into training and testing sets, train your model, and evaluate its

performance using metrics such as accuracy, precision, recall, and F$1-$score.