Complete the python code using project.py to Predict whether a job posting is real or fake

Goal: Train a model (in project.py) to predict whether a job posting is real or fake on the provided dataset.

Requirements

• Can use any model, preprocessing, tuning method.
• Can use (but do not have to use) all information in dataset to train the model.
• Make sure there is no error when executing test.py (do not modify this file).
• Total runtime < 30 min (if tuning is performed, its runtime must be included)
• Can only install packages:
  • scikit-learn, gensim, pandas
  • packages such as numpy can be used because installing scikit-learn will also install numpy

Assessment

• F1 score for fraudulent == 1
•  

import pandas as pd import time class my_model(): def fit (self, X, y): # do not exceed 29 mins return def predict (self, X): # remember to apply the same preprocessing in fit() on test data before making predictions return predictions