ECTRSY

🛠 Contribute: Found a typo? Or any other change in the description that you would like to see? Please consider sending us a pull request in the public repo of the challenge here.

🕵️ Introduction

They say everyone in this world is running, and they say the world is running on money , where does that leave us 🤔?? About time we discussed a little economics? Welcome to your new challenge!

We give you the economic data information, can you predict the 1 Month CD Rate?

Understand with code! Here is getting started code for you.😄

💾 Dataset

This dataset contains the Economic data information of USA from 01/04/1980 to 02/04/2000 on a weekly basis. The dataset has 16 features. These features include tradeCurrencies, savingsDeposits, loansLeases etc. Some of them are:

• 1Y-CMaturityRate - 1 year maturity rate
• 30Y-CMortgageRate - 30 years mortgage rate
• 3M-Rate-AuctionAverage - 3 month average auction rate
• 3M-Rate-SecondaryMarket - 3 month secondary market rate
• 3Y-CMaturityRate - 3 year maturity rate
• 5Y-CMaturityRate - 5 year maturity rate

More info about the dataset can be found here

Your task is to use this data to predict 1 Month CD Rates.

A certificate of deposit(CD) is a time deposit, a financial product commonly sold by banks, thrift institutions, and credit unions. CDs differ from savings accounts in that the CD has a specific, fixed term and usually, a fixed interest rate.

📁 Files

Following files are available in the resources section:

• train.csv - (839 samples) This file contains the various attributes along with the 1 Month CD Rate.

• test.csv - (210 samples) File that will be used for actual evaluation for the leaderboard score. Does not contain 1 Month CD Rates.

🚀 Submission

• Prepare a CSV containing header as 1MonthCDRate and numeric values denoting the predicted values of 1 Month CD Rate.
• The name of the file should be submission.csv
• Sample submission format available at sample_submission.csv.

Make your first submission here 🚀 !!

🖊 Evaluation Criteria

During evaluation MAE or Mean Absolute Error will be used for accuracy,

For secondary score we use RMSE or Root Mean Squared Error

🔗 Links

• 💪 Challenge Page: https://www.aicrowd.com/challenges/ectrsy
• 🗣️ Discussion Forum: https://www.aicrowd.com/challenges/ectrsy/discussion
• 🏆 Leaderboard: https://www.aicrowd.com/challenges/ectrsy/leaderboards

📱 Contact

• Sainath Prasanna

📚 References

• Dataset: KEEL

• Image Source