Welcome to the ACTL 3142 Kaggle competition on predicting fatality in car accidents based on driver characteristics. In this competition, you are invited to submit your predictive models determining the probability of a car accident to result in a fatality. 

The competition dataset (NSW_Crash_data_2016_2022_test.csv) comprises of 10,000 accidents where we only have Information Received Before a Unit is Onsite. From this dataset comprised of 10,000 accidents you have, compose the probability of fatality for each accident. This competition dataset has the same format as the NSW_Crash_data_2016_2022.csv training dataset but doesn’t include the column Fatality nor the Onsite Investigation variables. We know the column Fatality for the dataset and we will release it after the due date of the assignment.

**Goal:** Your task is to predict 138 accidents that are most likely to result in a fatal accident. You goal is to maximise the Recall score of your predictions. Read below in the Evaluation session for further explanation.