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Predict 1 Month CD Rate

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🛠 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

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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

📱 Contact

📚 References

Participants

Getting Started

Leaderboard

01 GiveMeData 0.13
02 adithyasunil26 0.159
03 darthgera123 0.173
03 ashivani 0.173

Latest Submissions

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