Bitgrit’s Data Science Contest Round 3
Predict emergency patients using machine learning
Healthcare company XYZ
4 Participants
5 Submissions
Brief
Healthcare company XYZ is trying to make the way they manage procedures more efficient by using analytics for emergency patients who show up without prior appointment.
Timeline
- 20 Dec 2019 Competition Start
- 22 Dec 2019 Competition Ends
Data Breakdown
Your task is to predict how many emergency procedures you should expect using the weather condition and event information around the area so the hospital can have surgeons ready for those patients.
Evaluation
RMSE will be used as a metric. The number you will see in the leaderboard is EXP(-RMSE). *The smaller RMSE you get, the higher EXP(-RMSE) you will see in the leaderboard.
Outputs should follow the format:
id n_Procedure
1,2
2,2
3,2
4,4
etc.
FAQs
Can we use date instead of id upon submission?
Please convert date into id otherwise you might get an error.
Can we use external data?
You can use any data available.
What is the name of the hospital that wants to solve this problem?
It’s confidential.
What metric will be used for rankings?
RMSE (Root Mean Square Error).
Rules
This competition is governed by a Non-Disclosure Agreement. Participants must agree to and comply with this NDA in order to participate.
Please do not contact SoftBank directly in regards to this competition and if you have any queries regarding this competition, please contact us at: [email protected]
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My Submissions
Non-Disclosure Agreement (NDA)
An agreement to not reveal the information shared regarding this competition to others.
- This Non-Disclosure Agreement (“Agreement”) is hereby entered into on 25th April 2026 (“Effective Date”) between you (“Participant”), as a participant in the Bitgrit’s Data Science Contest Round 3 (the “Competition”) hosted at bitgrit.net (the “Competition Site”), and bitgrit Inc. (“Bitgrit”).
- Purpose: This Agreement aims to protect information disclosed by Bitgrit to Participant (the “Purpose”).
- Confidential Information: (1) Confidential Information shall mean any and all information disclosed by Bitgrit to the Participant with regard to the entry and participation in the Competition, including (i) metadata, source code, object code, firmware etc. and, in addition to these, (ii) analytes, compilations or any other deliverable produced by the Participant in which such disclosed information is utilized or reflected. (2) Confidential Information shall not include information which; (a) is now or hereafter becomes, through no act or omission on the Participant, generally known or available to the public, or, in the present or into the future, enters the public domain through no act or omission by the Participant; (b) is acquired by the Participant before receiving such information from Bitgrit and such acquisition was without restriction as to the use or disclosure of the same; (c) is hereafter rightfully furnished to the participant by a third party, without restriction as to use or disclosure of the same.
- Non-Disclosure Obligation: The Participant agrees: (a) to hold Confidential Information in strict confidence; (b) to exercise at least the same care in protecting Confidential Information from disclosure as the party uses with regard to its own confidential information; (c) not use any Confidential Information except for as it concerns the Purpose elaborated upon above; (d) not disclose such Confidential Information to third parties; (e) to inform Bitgrit if it becomes aware of an unauthorized disclosure of Confidential Information.
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- Term: The obligations with respect to the Confidential Information under this Agreement shall survive for a period of three (3) years after the effective date. Provided however, if the Confidential Information could be considered to fall under the category of “Trade Secret” of Bitgrit or any related third parties, this Agreement is to remain effective relative to that information for as far as the said information is regarded as Trade Secret under applicable laws and regulations. If the Confidential Information contains personal information, the terms of this Agreement shall remain effective on that information permanently.
- Governing Law: This Agreement shall be governed by and construed and interpreted under the laws of Japan without reference to its principles governing conflicts of laws.
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Terms & Conditions
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