Ended on 26th Dec'20 06:30 PM (Coordinated Universal Time)
Cancer Death Rate
Predict the cancer death rate for the given year
1.8k
Medium
Challenge Starts
15 Dec 12:00 pm
Challenge Ends
26 Dec 06:30 pm
Content
As per WHO,
- Cancer is the second leading cause of death globally, and is responsible for an estimated 9.6 million deaths in 2018. Globally, about 1 in 6 deaths is due to cancer.
- Approximately 70% of deaths from cancer occur in low- and middle-income countries.
- Around one third of deaths from cancer are due to the 5 leading behavioral and dietary risks: high body mass index, low fruit and vegetable intake, lack of physical activity, tobacco use, and alcohol use.

Problem Statement
Many aspects of the behaviour of cancer disease are highly unpredictable. Even with the huge number of studies that have been done on the DNA mutation responsible for the disease, we are still unable to use these information at clinical level. However, it is important that we understand the effects and impacts of this disease from the past information as much as we possibly can.
Objective
You are required to build a machine learning model that would predict the cancer death rate for the given year.
Evaluation Criteria
Submissions are evaluated using Mean Squared Error (MSE).

How do we do it?
Once we release the data, anyone can download it, build a model, and make a submission. We give competitors a set of data (training data) with both the independent and dependent variables.
We also release another set of data (test dataset) with just the independent variables, and we hide the dependent variable that corresponds with this set. You submit the predicted values of the dependent variable for this set and we compare it against the actual values.
The predictions are evaluated based on the evaluation metric defined in the datathon.