{ "fetched_at": "2026-10-24T13:49:27Z", "source_url": "https://www.kaggle.com/competitions/data-science-bowl-2019/data", "pages": [ { "name": "rules", "content": "### One account per participant\n\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n\n### Sharing of email addresses with competition sponsor\n\nKaggle will share all participants’ email addresses and usernames with Booz Allen Hamilton. See Competition-Specific Rules for more information.\n\n### No private sharing outside teams\n\nPrivately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums.\n\n### Team Mergers\n\nTeam mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the merge date. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running. \n### Team Limits\n\nThe maximum team size is 8.\n\n### Submission Limits\n\nYou may submit a maximum of 5 entries per day.\n\nYou may select up to 2 final submissions for judging.\n\n### Competition Timeline\n\nStart Date: October 24, 2019\n\nMerger Deadline: January 15, 2020 11:59 PM UTC\n\nEntry Deadline: January 15, 2020 11:59 PM UTC\n\nEnd Date (Final Submission Deadline): **January 22, 2020 11:59 PM UTC**\n\n### COMPETITION-SPECIFIC TERMS\n\n**COMPETITION TITLE**: 2019 Data Science Bowl\n\n**COMPETITION SPONSOR**: Booz Allen Hamilton\n\n**COMPETITION SPONSOR ADDRESS**: 8283 Greensboro Drive, McLean, VA 22101\n\n**COMPETITION WEBSITE**: https://www.kaggle.com/c/data-science-bowl-2019\n\n**TOTAL PRIZES AVAILABLE: $160,000**\n\nFirst Prize: $ 100,000\n\nSecond Prize: $ 30,000\n\nThird Prize: $ 10,000\n \nFourth Prize: $ 10,000\n \nFifth Prize: $ 10,000\n \nAdditional prize opportunities may be announced for high performing teams, details of which will be shared in the Kaggle forum for this Competition. All winners’ obligations detailed below apply to any such additional prizes.\n\n\n**WINNER LICENSE TYPE**: OPEN SOURCE\n\n**DATA ACCESS AND USE**: COMPETITION USE ONLY\n\nCompetitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, Cuba, Iran, Syria, North Korea, Sudan, or are subject to U.S. export controls or sanctions, you may not enter the Competition. Other local rules and regulations may apply to you, so please check your local laws to ensure that you are eligible to participate in skills-based competitions. The Competition Sponsor reserves the right to award alternative Prizes where needed to comply with local laws.\n\n**ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.**\n\nThe Competition named above is a skills-based competition to promote and further the field of data science. You must register via the Competition Website to enter. Your competition submissions (\"Submissions\") must conform to the requirements stated on the Competition Website. Your Submissions will be scored based on the evaluation metric described on the Competition Website. Subject to compliance with the Competition Rules, Prizes, if any, will be awarded to participants with the best scores, based on the merits of the data science models submitted. See below for the complete Competition Rules.\n\n### A. COMPETITION-SPECIFIC RULES\n\nIn addition to the provisions of the General Competition Rules below, you understand and agree to these Competition-Specific Rules required by the Competition Sponsor:\n\n#### **1. WINNER LICENSE.** \n\nUnder Section 11 (Winners Obligations) of the General Rules below, you hereby grant and will grant Competition Sponsor the following license(s) with respect to your Submission if you are a Competition winner:\n \n*Open Source*: You hereby license and will license your winning Submission and the source code used to generate the Submission under an Open Source Initiative-approved license (see www.opensource.org) that in no event limits commercial use of such code or model containing or depending on such code. For generally commercially available software that you used to generate your submission that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, you do not need to grant the license in the preceding sentence for that software.\n\n#### **2. DATA SCIENCE BOWL REQUIREMENTS.**\n\nClosing Activities: As a condition to being awarded a Prize, a Prize winner is expected to participate in the closing event activities, which may include; media/press interviews, writing a blog for DataScienceBowl.com about your experience and/or submission as arranged by one or more of the competition co-sponsors, Competition Sponsor and/or Kaggle.\n\nBy entering this competition I consent to Kaggle sharing my Kaggle username and email address with Booz Allen Hamilton as an independent controller for the purposes of receiving marketing and/or product and service related information. This data will be subject to Booz Allen Hamilton’s policies governing privacy and security. You may review Booz Allen Hamilton's [Privacy Policy here](https://www.boozallen.com/tools/footer-navigation/privacy-policy.html). Kaggle is not responsible for the privacy and security practices and policies of third parties like Booz Allen Hamilton. \n\n\n### B. GENERAL COMPETITION RULES\n#### **1.\tBINDING AGREEMENT.** \n\nTo enter the Competition, you must agree to these Official Competition Rules, which incorporate by reference the provisions and content of the Competition Website and any Specific Competition Rules above (collectively, the \"Rules\"). Please read these Rules carefully before entry to ensure you understand and agree. You further agree that submission of an entry in the Competition constitutes agreement to these Rules. You may not submit an entry to the Competition and are not eligible to receive the prizes associated with this Competition (“Prizes”) unless you agree to these Rules. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition.\n\n#### **2.\tELIGIBILITY.** \n\nA. To be eligible to enter the Competition, you must be:\n\t(i) a registered account holder at Kaggle.com; \n\t(ii) the older of 18 years old or the age of majority in your jurisdiction of residence (unless otherwise agreed to by Competition Sponsor and appropriate parental/guardian consents have been obtained by Competition Sponsor); \n\t(iii) not a resident of Crimea, Cuba, Iran, Syria, North Korea, or Sudan; and\n\t(iv) not a person or representative of an entity under U.S. export controls or sanctions (see [https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx][1]).\n\nIf you are entering as a representative of a company, educational institution or other legal entity, or on behalf of your employer, these rules are binding on you, individually, and the entity you represent or are an employee. If you are acting within the scope of your employment, as an employee, contractor, or agent of another party, you warrant that such party has full knowledge of your actions and has consented thereto, including your potential receipt of a Prize. You further warrant that your actions do not violate your employer's or entity's policies and procedures. \n\nThe Competition Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time. If you provide any false information relating to the Competition concerning your identity, residency, mailing address, telephone number, email address, ownership of right, or information required for entering the Competition, you may be immediately disqualified from the Competition.\n\nB. Unless otherwise stated in the Specific Competition Rules above or prohibited by internal policies of the Competition Entities, employees, interns, contractors, officers and directors of Competition Entities may enter and participate in the Competition, but are not eligible to win any Prizes. \"Competition Entities\" means the Competition Sponsor, Kaggle Inc., Public Broadcasting Service, and their respective parent companies, subsidiaries and affiliates. If you are such a participant from a Competition Entity, you are subject to all applicable internal policies of your employer with respect to your participation.\n\n#### **3.\tSPONSOR AND HOSTING PLATFORM.** \n\nThe Competition is sponsored by Competition Sponsor named above. The Competition is hosted on behalf of Competition Sponsor by Kaggle Inc. (\"Kaggle\"). Kaggle is an independent contractor of Competition Sponsor, and is not a party to this or any agreement between you and Competition Sponsor. You understand that Kaggle has no responsibility with respect to selecting the potential Competition winner(s) or awarding any Prizes. Kaggle will perform certain administrative functions relating to hosting the Competition, and you agree to abide by the provisions relating to Kaggle under these Rules. As a Kaggle.com account holder and user of the Kaggle competition platform, remember you have accepted and are subject to the Kaggle Terms of Service at [www.kaggle.com/terms][2] in addition to these Rules.\n\n#### **4.\tCOMPETITION PERIOD.** \n\nFor the purposes of Prizes, the Competition will run from the Start Date and time to the End Date and time (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. Any updated or additional deadlines will be publicized on the Competition Website. It is your responsibility to check the Competition Website regularly to stay informed of any deadline changes. *YOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION.* \n\n#### **5.\tCOMPETITION ENTRY.** \n\nNO PURCHASE NECESSARY TO ENTER OR WIN. To enter the Competition, you must register on the Competition Website prior to the Entry Deadline, and follow the instructions for developing and entering your Submission through the Competition Website. Your Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website. Submissions not received by the stated deadlines will not be eligible to receive a Prize.\n\nSubmissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records.\n\nIf the Competition is a multi-stage competition with temporally separate training and/or test data, one or more valid Submissions may be required during each Competition stage in the manner described on the Competition Website in order for the Submissions to be Prize eligible.\n\nSubmissions are void if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late. Competition Sponsor reserves the right to disqualify any entrant who does not follow these Rules, including making a Submission that does not meet the Requirements. \n\n#### **6.\tINDIVIDUALS AND TEAMS.** \n\nA. *Individual Account*. You may make Submissions only under one, unique Kaggle.com account. You will be disqualified if you make Submissions through more than one Kaggle account, or attempt to falsify an account to act as your proxy. You may submit up to the maximum number of Submissions per day as specified on the Competition Website. \n\nB. *Teams*. If permitted under the Competition Website guidelines, multiple individuals may collaborate as a team (a \"Team\"); however, you may join or form only one Team. Each Team member must be a single individual with a separate Kaggle account. You must register individually for the Competition before joining a Team. You must confirm your Team membership to make it official by responding to the Team notification message sent to your Kaggle account. Team membership may not exceed the Maximum Team Size stated on the Competition Website.\n\nC. *Team Merger*. Teams may request to merge via the Competition Website. Team mergers may be allowed provided that: (i) the combined Team does not exceed the Maximum Team Size; (ii) the number of Submissions made by the merging Teams does not exceed the number of Submissions permissible for one Team at the date of the merger request; (iii) the merger is completed before the earlier of: any merger deadline or the Competition deadline; and (iv) the proposed combined Team otherwise meets all the requirements of these Rules. \n\n#### **7.\tCOMPETITION DATA.** \n\n\"Competition Data\" means the data or datasets available from the Competition Website for the purpose of use in the Competition, including any prototype or executable code provided on the Competition Website. The Competition Data will contain private and public test sets. Which data belongs to which set will not be made available to participants. \n\nA. *Data Access and Use*. \n*Competition Use only*: You may access and use the Competition Data only for participating in the Competition and on Kaggle.com forums. The Competition Sponsor reserves the right to disqualify any participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.\n\nB. *Data Security*. You agree to use reasonable and suitable measures to prevent persons who have not formally agreed to these Rules from gaining access to the Competition Data. You agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Competition Data to any party not participating in the Competition and agree not to attempt to identify any Competition Data. You agree to notify Kaggle immediately upon learning of any possible unauthorized transmission of or unauthorized access to the Competition Data and agree to work with Kaggle to rectify any unauthorized transmission or access. You agree that participation in the Competition shall not be construed as having or being granted a license (expressly, by implication, estoppel, or otherwise) under, or any right of ownership in, any of the Data. Upon submission and close out of the competition, competitors agree to delete all copies of the data in their possession provided by this competition.\n\nC. *External Data*. You may use data other than the Competition Data (“External Data”) to develop and test your models and Submissions. However, you will (i) ensure the External Data is available to use by all participants of the competition for purposes of the competition at no cost to the other participants and (ii) post such access to the External Data for the participants to the official competition forum prior to the Entry Deadline.\n\n#### **8.\tSUBMISSION CODE REQUIREMENTS.**\n\nA. *Private Code Sharing*. Unless otherwise specifically permitted under the Competition Website or Competition Specific Rules above, during the Competition Period, you are not allowed to privately share source or executable code developed in connection with or based upon the Competition Data or other source or executable code relevant to the Competition (“Competition Code”). This prohibition includes sharing Competition Code between separate Teams, unless a Team merger occurs. Any such sharing of Competition Code is a breach of these Competition Rules and may result in disqualification.\n\nB. *Public Code Sharing*. You are permitted to publicly share Competition Code, provided that such public sharing does not violate the intellectual property rights of any third party. If you do choose to share Competition Code or other such code, you are required to share it on Kaggle.com on the discussion forum or kernels associated specifically with the Competition for the benefit of all competitors. By so sharing, you are deemed to have licensed the shared code under an Open Source Initiative-approved license (see [www.opensource.org][3]) that in no event limits commercial use of such Competition Code or model containing or depending on such Competition Code.\n\nC. *Use of Open Source*. Unless otherwise stated in the Specific Competition Rules above, if open source code is used in the model to generate the Submission, then you must only use open source code licensed under an Open Source Initiative-approved license (see [www.opensource.org][4]) that in no event limits commercial use of such code or model containing or depending on such code.\n\n#### **9.\tDETERMINING WINNERS.** \n\nEach Submission will be scored and ranked by the evaluation metric stated on the Competition Website. During the Competition Period, the current ranking will be visible on the Competition Website's public leaderboard. The potential winner(s) are determined solely by the leaderboard ranking on the private leaderboard, subject to compliance with these Rules. The public leaderboard will be based on the public test set and the private leaderboard will be based on the private test set.\n\nIn the event of a tie, the Submission that was entered first to the Competition will be the winner. In the event a potential winner is disqualified for any reason, the Submission that received the next highest score rank will be chosen as the potential winner.\n\n#### **10.\tNOTIFICATION OF WINNERS & DISQUALIFICATION.**\n\nThe potential winner(s) will be notified by email. \n \nIf a potential winner (i) does not respond to the notification attempt within one (1) week from the first notification attempt or (ii) notifies Kaggle within one week after the End Date that the potential winner does not want to be nominated as a winner or does not want to receive a Prize, then, in each case (i) and (ii) such potential winner will not receive any Prize, and an alternate potential winner will be selected from among all eligible entries received based on the Competition’s judging criteria.\n \nIn case (i) and (ii) above Kaggle may disqualify the participant. However, in case (ii) above, if requested by Kaggle, such potential winner may provide code and documentation to verify the participant’s compliance with these Rules. If the potential winner provides code and documentation to the satisfaction of Kaggle, the participant will not be disqualified pursuant to this paragraph.\n \nCompetition Sponsor reserves the right to disqualify any participant from the Competition if the Competition Sponsor reasonably believes that the participant has attempted to undermine the legitimate operation of the Competition by cheating, deception, or other unfair playing practices or abuses, threatens or harasses any other participants, Competition Sponsor or Kaggle.\n \nA disqualified participant may be removed from the Competition leaderboard, at Kaggle's sole discretion. If a Participant is removed from the Competition Leaderboard, additional winning features associated with the Kaggle competition platform, for example Kaggle points or medals, may also not be awarded.\n \nThe final leaderboard list will be publicly displayed at Kaggle.com. Determinations of Competition Sponsor are final and binding.\n\n#### **11.\tWINNERS OBLIGATIONS.**\n\nAs a condition to being awarded a Prize, a Prize winner must fulfill the following obligations:\n\n(a) deliver to the Competition Sponsor the final model's software code as used to generate the winning Submission and associated documentation. The delivered software code should follow [these documentation guidelines][5], must be capable of generating the winning Submission, and contain a description of resources required to build and/or run the executable code successfully. If the final model’s software code includes generally commercially available software that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, then instead of delivering the code for that software to the Competition Sponsor, you must identify that software, method for procuring it, and any parameters or other information necessary to replicate the winning Submission;\n\n(b) grant to the Competition Sponsor the license to the winning Submission stated in the Competition Specific Rules above, and represent that you have the unrestricted right to grant that license; \n\n(c) sign and return all Prize acceptance documents as may be required by Competition Sponsor or Kaggle, including without limitation: (i) eligibility certifications; (ii) licenses, releases and other agreements required under the Rules; and (iii) U.S. tax forms (such as IRS Form W-9 if U.S. resident, IRS Form W-8BEN if foreign resident, or future equivalents).\n\n#### **12.\tPRIZES.** \n\nPrize(s) are as described on the Competition Website and are only available for winning during the time period described on the Competition Website. The odds of winning any Prize depends on the number of eligible Submissions received during the Competition Period and the skill of the participants. \n\nAll Prizes are subject to Competition Sponsor's review and verification of the participant’s eligibility and compliance with these Rules, and the compliance of the winning Submissions with the Submissions Requirements. In the event that the Submission demonstrates non-compliance with these Competition Rules, Competition Sponsor may at its discretion take either of the following actions: (i) disqualify the Submission(s); or (ii) require the potential winner to remediate within one week after notice all issues identified in the Submission(s) (including, without limitation, the resolution of license conflicts, the fulfillment of all obligations required by software licenses, and the removal of any software that violates the software restrictions).\n\nA potential winner may decline to be nominated as a Competition winner in accordance with Section 10.\n\nPotential winners must return all required Prize acceptance documents within two (2) weeks following notification of such required documents, or such potential winner will be deemed to have forfeited the prize and another potential winner will be selected. Prize(s) will be awarded within approximately 30 days after receipt by Competition Sponsor or Kaggle of the required Prize acceptance documents. Transfer or assignment of a Prize is not allowed. \n\nYou are not eligible to receive any Prize if you do not meet the Eligibility requirements in Section 2 above.\n\nIf a Team wins a monetary Prize, the Prize money will be allocated in even shares between the eligible Team members, unless the Team unanimously opts for a different Prize split and notifies Kaggle before Prizes are issued.\n\n#### **13.\tTAXES.** \n\nALL TAXES IMPOSED ON PRIZES ARE THE SOLE RESPONSIBILITY OF THE WINNERS. Payments to potential winners are subject to the express requirement that they submit all documentation requested by Competition Sponsor or Kaggle for compliance with applicable state, federal, local and foreign (including provincial) tax reporting and withholding requirements. Prizes will be net of any taxes that Competition Sponsor is required by law to withhold. If a potential winner fails to provide any required documentation or comply with applicable laws, the Prize may be forfeited and Competition Sponsor may select an alternative potential winner. Any winners who are U.S. residents will receive an IRS Form-1099 in the amount of their Prize.\n\n#### **14.\tGENERAL CONDITIONS.** \n\nAll federal, state, provincial and local laws and regulations apply. \n\n#### **15.\tPUBLICITY.**\n\nYou agree that Competition Sponsor, Kaggle and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law.\n\n#### **16.\tPRIVACY.**\n\nYou acknowledge and agree that Competition Sponsor and Kaggle may collect, store, share and otherwise use personally identifiable information provided by you during the Kaggle account registration process and the Competition, including but not limited to, name, mailing address, phone number, and email address (“Personal Information”). Kaggle acts as an independent controller with regard to its collection, storage, sharing, and other use of this Personal Information, and will use this Personal Information in accordance with its Privacy Policy <[www.kaggle.com/privacy][6]>, including for administering the Competition. As a Kaggle.com account holder, you have the right to request access to, review, rectification, portability or deletion of any personal data held by Kaggle about you by logging into your account and/or contacting Kaggle Support at <[www.kaggle.com/contact][7]>.\n\n As part of Competition Sponsor performing this contract between you and the Competition Sponsor, Kaggle will transfer your Personal Information to Competition Sponsor, which acts as an independent controller with regard to this Personal Information. As a controller of such Personal Information, Competition Sponsor agrees to comply with all U.S. and foreign data protection obligations with regard to your Personal Information. Kaggle will transfer your Personal Information to Competition Sponsor in the country specified in the Competition Sponsor Address listed above, which may be a country outside the country of your residence. Such country may not have privacy laws and regulations similar to those of the country of your residence.\n\n#### **17.\tWARRANTY, INDEMNITY AND RELEASE.** \n\nYou warrant that your Submission is your own original work and, as such, you are the sole and exclusive owner and rights holder of the Submission, and you have the right to make the Submission and grant all required licenses. You agree not to make any Submission that: (i) infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; or (ii) otherwise violates any applicable U.S. or foreign state or federal law.\n\nTo the maximum extent permitted by law, you indemnify and agree to keep indemnified Competition Entities at all times from and against any liability, claims, demands, losses, damages, costs and expenses resulting from any of your acts, defaults or omissions and/or a breach of any warranty set forth herein. To the maximum extent permitted by law, you agree to defend, indemnify and hold harmless the Competition Entities from and against any and all claims, actions, suits or proceedings, as well as any and all losses, liabilities, damages, costs and expenses (including reasonable attorneys fees) arising out of or accruing from: (a) your Submission or other material uploaded or otherwise provided by you that infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; (b) any misrepresentation made by you in connection with the Competition; (c) any non-compliance by you with these Rules or any applicable U.S. or foreign state or federal law; (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition; and (e) your acceptance, possession, misuse or use of any Prize, or your participation in the Competition and any Competition-related activity.\n\nYou hereby release Competition Entities from any liability associated with: (a) any malfunction or other problem with the Competition Website; (b) any error in the collection, processing, or retention of any Submission; or (c) any typographical or other error in the printing, offering or announcement of any Prize or winners.\n\n#### **18.\tINTERNET.** \n\nCompetition Entities are not responsible for any malfunction of the Competition Website or any late, lost, damaged, misdirected, incomplete, illegible, undeliverable, or destroyed Submissions or entry materials due to system errors, failed, incomplete or garbled computer or other telecommunication transmission malfunctions, hardware or software failures of any kind, lost or unavailable network connections, typographical or system/human errors and failures, technical malfunction(s) of any telephone network or lines, cable connections, satellite transmissions, servers or providers, or computer equipment, traffic congestion on the Internet or at the Competition Website, or any combination thereof, which may limit a participant’s ability to participate.\n\n#### **19.\tRIGHT TO CANCEL, MODIFY OR DISQUALIFY.**\n\nIf for any reason the Competition is not capable of running as planned, including infection by computer virus, bugs, tampering, unauthorized intervention, fraud, technical failures, or any other causes which corrupt or affect the administration, security, fairness, integrity, or proper conduct of the Competition, Competition Sponsor reserves the right to cancel, terminate, modify or suspend the Competition. Competition Sponsor further reserves the right to disqualify any participant who tampers with the submission process or any other part of the Competition or Competition Website. Any attempt by a participant to deliberately damage any website, including the Competition Website, or undermine the legitimate operation of the Competition is a violation of criminal and civil laws. Should such an attempt be made, Competition Sponsor and Kaggle each reserves the right to seek damages from any such participant to the fullest extent of the applicable law.\n\n#### **20.\tNOT AN OFFER OR CONTRACT OF EMPLOYMENT.**\n\nUnder no circumstances will the entry of a Submission, the awarding of a Prize, or anything in these Rules be construed as an offer or contract of employment with Competition Sponsor or any of the Competition Entities. You acknowledge that you have submitted your Submission voluntarily and not in confidence or in trust. You acknowledge that no confidential, fiduciary, agency, employment or other similar relationship is created between you and Competition Sponsor or any of the Competition Entities by your acceptance of these Rules or your entry of your Submission.\n\n#### **21.\tGOVERNING LAW.** \n\nUnless otherwise provided in the Competition Specific Rules above, all claims arising out of or relating to these Rules will be governed by California law, excluding its conflict of laws rules, and will be litigated exclusively in the Federal or State courts of Santa Clara County, California, USA. The parties consent to personal jurisdiction in those courts. If any provision of these Rules is held to be invalid or unenforceable, all remaining provisions of the Rules will remain in full force and effect.\n\n\n [1]: https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx\n [2]: http://www.kaggle.com/terms\n [3]: http://www.opensource.org\n [4]: http://www.opensource.org\n [5]: https://www.kaggle.com/WinningModelDocumentationGuidelines\n [6]: http://www.kaggle.com/privacy\n [7]: http://www.kaggle.com/contact\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "data-description", "content": "Note: This dataset was removed after the competition, per the host's request.\n\nIn this dataset, you are provided with game analytics for the PBS KIDS *Measure Up!* app. In this app, children navigate a map and complete various levels, which may be activities, video clips, games, or assessments. Each assessment is designed to test a child's comprehension of a certain set of measurement-related skills. There are five assessments: Bird Measurer, Cart Balancer, Cauldron Filler, Chest Sorter, and Mushroom Sorter.\n\nThe intent of the competition is to use the gameplay data to forecast how many attempts a child will take to pass a given assessment (an incorrect answer is counted as an attempt). Each application install is represented by an `installation_id`. This will typically correspond to one child, but you should expect noise from issues such as shared devices. In the training set, you are provided the full history of gameplay data. In the test set, we have truncated the history after the start event of a single assessment, chosen randomly, for which you must predict the number of attempts. Note that the training set contains many `installation_id`s which never took assessments, whereas every `installation_id` in the test set made an attempt on at least one assessment.\n\nThe outcomes in this competition are grouped into 4 groups (labeled `accuracy_group` in the data):\n \n - 3: the assessment was solved on the first attempt\n - 2: the assessment was solved on the second attempt\n - 1: the assessment was solved after 3 or more attempts\n - 0: the assessment was never solved\n\nThe file **train_labels.csv** has been provided to show how these groups would be computed on the assessments in the training set. Assessment attempts are captured in `event_code` 4100 for all assessments except for Bird Measurer, which uses `event_code` 4110. If the attempt was correct, it contains `\"correct\":true`.\n\nNote that this is a [synchronous rerun code competition](http://blog.kaggle.com/2019/05/17/synchronous-kernels-only-competitions-real-ml-in-real-time/) and the private test set has approximately 8MM rows. You should be mindful of memory in your notebooks to avoid submission errors.\n\n## Files\n\n### train.csv & test.csv\n\nThese are the main data files which contain the gameplay events.\n\n - `event_id` - Randomly generated unique identifier for the event type. Maps to `event_id` column in specs table.\n - `game_session` - Randomly generated unique identifier grouping events within a single game or video play session. \n - `timestamp` - Client-generated datetime\n - `event_data` - Semi-structured JSON formatted string containing the events parameters. Default fields are: `event_count`, `event_code`, and `game_time`; otherwise fields are determined by the event type.\n - `installation_id` - Randomly generated unique identifier grouping game sessions within a single installed application instance. \n - `event_count` - Incremental counter of events within a game session (offset at 1). Extracted from `event_data`.\n - `event_code` - Identifier of the event 'class'. Unique per game, but may be duplicated across games. E.g. event code '2000' always identifies the 'Start Game' event for all games. Extracted from `event_data`.\n - `game_time` - Time in milliseconds since the start of the game session. Extracted from `event_data`.\n - `title` - Title of the game or video.\n - `type` - Media type of the game or video. Possible values are: 'Game', 'Assessment', 'Activity', 'Clip'.\n - `world` - The section of the application the game or video belongs to. Helpful to identify the educational curriculum goals of the media. Possible values are: 'NONE' (at the app's start screen), TREETOPCITY' (Length/Height), 'MAGMAPEAK' (Capacity/Displacement), 'CRYSTALCAVES' (Weight).\n \n### specs.csv\n\nThis file gives the specification of the various event types.\n\n - `event_id` - Global unique identifier for the event type. Joins to `event_id` column in events table.\n - `info` - Description of the event. \n - `args` - JSON formatted string of event arguments. Each argument contains:\n - `name` - Argument name.\n - `type` - Type of the argument (`string`, `int`, `number`, `object`, `array`).\n - `info` - Description of the argument.\n\n### train_labels.csv\n\nThis file demonstrates how to compute the ground truth for the assessments in the training set.\n\n### sample_submission.csv\n\nA sample submission in the correct format.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "### Illuminate Learning. Ignite Possibilities.\n\nUncover new insights in early childhood education and how media can support learning outcomes. Participate in our fifth annual Data Science Bowl, presented by Booz Allen Hamilton and Kaggle.\n\nPBS KIDS, a trusted name in early childhood education for decades, aims to gain insights into how media can help children learn important skills for success in school and life. In this challenge, you’ll use anonymous gameplay data, including knowledge of videos watched and games played, from the PBS KIDS Measure Up! app, a game-based learning tool developed as a part of the CPB-PBS Ready To Learn Initiative with funding from the U.S. Department of Education. Competitors will be challenged to predict scores on in-game assessments and create an algorithm that will lead to better-designed games and improved learning outcomes. Your solutions will aid in discovering important relationships between engagement with high-quality educational media and learning processes.\n\nData Science Bowl is the world’s largest data science competition focused on social good. Each year, this competition gives Kagglers a chance to use their passion to change the world. Over the last four years, more than 50,000+ Kagglers have submitted over 114,000+ submissions, to improve everything from lung cancer and heart disease detection to ocean health. \n\nFor more information on the Data Science Bowl, please visit [DataScienceBowl.com](https://datasciencebowl.com/)\n\n## Where does the data for the competition come from?\nThe data used in this competition is anonymous, tabular data of interactions with the PBS KIDS Measure Up! app. Select data, such as a user’s in-app assessment score or their path through the game, is collected by the PBS KIDS Measure Up! app, a game-based learning tool. \n\nPBS KIDS is committed to creating a safe and secure environment that family members of all ages can enjoy. The PBS KIDS Measure Up! app does not collect any personally identifying information, such as name or location. All of the data used in the competition is anonymous. To view the full PBS KIDS privacy policy, please visit: pbskids.org/privacy.\n\nNo one will be able to download the entire data set and the participants do not have access to any personally identifiable information about individual users. The Data Science Bowl and the use of data for this year’s competition has been reviewed to ensure that it meets requirements of applicable child privacy regulations by PRIVO, a leading global industry expert in children’s online privacy.\n\n\n## What is the PBS KIDS Measure Up! app?\nIn the PBS KIDS Measure Up! app, children ages 3 to 5 learn early STEM concepts focused on length, width, capacity, and weight while going on an adventure through Treetop City, Magma Peak, and Crystal Caves. Joined by their favorite PBS KIDS characters, children can also collect rewards and unlock digital toys as they play. To learn more about PBS KIDS Measure Up!, please click [here](https://pbskids.org/apps/pbs-kids-measure-up.html).\n\n*PBS KIDS and the PBS KIDS Logo are registered trademarks of PBS. Used with permission. The contents of PBS KIDS Measure Up! were developed under a grant from the Department of Education. However, those contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government. The app is funded by a Ready To Learn grant (PR/AWARD No. U295A150003, CFDA No. 84.295A) provided by the Department of Education to the Corporation for Public Broadcasting.*\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "Submissions are scored based on the quadratic weighted kappa, which measures the agreement between two outcomes. This metric typically varies from 0 (random agreement) to 1 (complete agreement). In the event that there is less agreement than expected by chance, the metric may go below 0.\n\nThe outcomes in this competition are grouped into 4 groups (labeled `accuracy_group` in the data):\n - 3: the assessment was solved on the first attempt\n - 2: the assessment was solved on the second attempt\n - 1: the assessment was solved after 3 or more attempts\n - 0: the assessment was never solved\n\nThe quadratic weighted kappa is calculated as follows. First, an N x N histogram matrix O is constructed, such that Oi,j corresponds to the number of `installation_id`s i (actual) that received a predicted value j. An N-by-N matrix of weights, w, is calculated based on the difference between actual and predicted values:\n\n$$w_{i,j} = \\frac{\\left(i-j\\right)^2}{\\left(N-1\\right)^2}$$\n\nAn N-by-N histogram matrix of expected outcomes, E, is calculated assuming that there is no correlation between values.  This is calculated as the outer product between the actual histogram vector of outcomes and the predicted histogram vector, normalized such that E and O have the same sum.\n\nFrom these three matrices, the quadratic weighted kappa is calculated as: \n\n$$\\kappa=1-\\frac{\\sum\\_{i,j}w\\_{i,j}O\\_{i,j}}{\\sum\\_{i,j}w\\_{i,j}E\\_{i,j}}.$$\n\n## Submission File\nFor each `installation_id` represented in the test set, you must predict the `accuracy_group` of the last assessment for that `installation_id`. The files must have a header and should look like the following:\n\n installation_id,accuracy_group\n 00abaee7,3\n 01242218,0\n etc.\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Timeline", "content": "* **January 15, 2020** - Entry deadline. You must accept the competition rules before this date in order to compete.\n* **January 15, 2020** - Team Merger deadline. This is the last day participants may join or merge teams.\n* **January 22, 2020** - Final submission deadline.\n\n\n\n\nAll deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted. The competition organizers reserve the right to update the contest timeline if they deem it necessary.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Prizes", "content": "* 1st Place - $100,000\n* 2nd Place - $30,000\n* 3rd Place - $10,000\n* 4th Place - $10,000\n* 5th Place - $10,000\n\n**Additional Prizes**\nAdditional prize opportunities are available for a small number of actively registered university students (Fall/Winter 2019/2020 enrollees). Teams must be comprised entirely of registered university students. Highest placed teams on the private leaderboard at the end of the competition will be considered. If interested append _STU to your team name. Watch the forums for more details coming soon. ", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Notebook Requirements", "content": "![Kerneler](https://storage.googleapis.com/kaggle-media/competitions/general/Kerneler-white-desc2_transparent.png)\n### This is a synchronous rerun code competition\n\nSubmissions to this competition must be made through Kaggle Notebooks. In order for the \"Submit to Competition\" button to be active after a commit, the following conditions must be met:\n\n- CPU Notebooks <= 9 hours run-time\n- Internet access and GPU off\n- External data is allowed (including training offline and uploading the model)\n- No custom packages enabled in kernels\n- Submission files must be named \"submission.csv\"\n\nPlease see the [Code competition FAQ](https://www.kaggle.com/docs/competitions#kernels-only-FAQ) for more information on how to submit.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "About The DSB", "content": "**DATA SCIENCE IGNITES THE WAY TO A BETTER WORLD**\n\nAt the heart of every Data Science Bowl® is our common purpose to meaningfully tackle immense problems with immense force.\n\nThe Data Science Bowl is the world’s premier data science for social good competition, created in 2014 and presented by Booz Allen Hamilton and Kaggle.\n\nThe Data Science Bowl brings together data scientists, technologists, and domain experts across industries to take on the world’s challenges with data and technology. It’s a platform through which individuals can harness their passion, unleash their curiosity, and amplify their impact to effect change on a global scale.\n\nTo present the competition, Booz Allen partnered with Kaggle, the leading online data science competition community with over 1 million members around the world. During a 90-day period, participants, either alone or working in teams, gain access to unique data sets to develop algorithms that address a specific challenge. And each year, the competition awards cash prizes to top teams.\n\nIn 2015, participants examined more than 100,000 underwater images, provided by the Hatfield Marine Science Center, to assess ocean health at a massive speed and scale. More than 1,000 teams participated, submitting more than 17,000 solutions to the challenge. The winning team, Team Deep Sea, developed a classification algorithm that beat the current state of the art by more than 10%.\n\nIn 2016, they applied analytics in cardiology, transforming the practice of assessing heart function. Though the challenge was decidedly more complex than the prior year, this competition received nearly 9,300 submissions from more than 700 teams. In fact, the winning team, Tencia Lee and Qi Liu, are hedge fund traders, not traditional data scientists.\n\nIn 2017, nearly 2,400 teams worked to improve lung cancer screening technology, submitting more than 18,000 algorithms. Estimates suggest the top 10 solutions outperform best-in-class models by 10 percent. A follow-on competition took the advances from the 2017 Data Science Bowl algorithms from concept to clinic, sponsored by the Bonnie J. Addario Lung Cancer Foundation along with DrivenData.org.\n\nThe 2018 Data Science Bowl competition brought together nearly 18,000 global participants, the most ever for the Data Science Bowl. Collectively, they submitted more than 68,000 algorithms and worked an estimated 288,000 hours to automate the vital, but time-consuming, process of nuclei detection. Identifying nuclei allows researchers to find each individual cell in a sample and, by measuring how cells react to various treatments, understand the underlying biological processes at work. Algorithms developed in this competition are projected to save researchers hundreds of thousands of hours of effort per year.\n\nFor more information on the Data Science Bowl, please visit [DataScienceBowl.com](https://datasciencebowl.com/)", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "DSB Hosts & Partners", "content": "# Presented by… \n

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\nFor more than 100 years, military, government, and business leaders have turned to Booz Allen Hamilton to solve their most complex problems. As a consulting firm with experts in analytics, digital, engineering, and cyber, we help organizations transform. We are a key partner on some of the most innovative programs for governments worldwide and trusted by their most sensitive agencies. We work shoulder to shoulder with clients, using a mission-first approach to choose the right strategy and technology to help them realize their vision. With global headquarters in McLean, Virginia and more than 80 offices worldwide, our firm employs more than 26,300 people and had revenue of $6.7 billion for the 12 months ending March 31, 2019. To learn more, visit BoozAllen.com. (NYSE: BAH)

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\nKaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow us on[ Twitter](twitter.com/kaggle) for helpful resources and interesting competitions.\n\n---\n\n## Data Partner\n\n

\n\nPBS KIDS, the number one educational media brand for kids, offers children ages 2-8 the opportunity to explore new ideas and worlds through television, digital media and community-based programs. PBS KIDS and local stations across the country support the entire ecosystem in which children learn, including their teachers, parents and community. PBS KIDS offers engaging interactive content, including digital games and streaming video online, via mobile and on connected-TV devices. PBS KIDS also offers parent and teacher resources to support children’s learning anytime and anywhere.\n\n---\n\n## About the Corporation for Public Broadcasting\nThe Corporation for Public Broadcasting (CPB), a private, nonprofit corporation created by Congress in 1967, is the steward of the federal government’s investment in public broadcasting. It helps support the operations of nearly 1,500 locally owned and operated public television and radio stations nationwide. CPB is also the largest single source of funding for research, technology and program development for public radio, television and related online services. For more information, visit www.cpb.org and follow us on Twitter @CPBmedia, Facebook and LinkedIn, and subscribe for email updates.\n\n---\n\n## About the Ready To Learn Initiative\nThe Ready To Learn Initiative is a cooperative agreement funded and managed by the U.S. Department of Education’s Office of Elementary and Secondary Education (OESE). It supports the development of innovative educational television and digital media targeted to preschool and early elementary school children and their families. Its general goal is to promote early learning and school readiness, with a particular interest in reaching low-income children. In addition to creating television and other media products, the program supports activities intended to promote national distribution of the programming, effective educational uses of the programming, community-based outreach and research on educational effectiveness.\n\n---\n\n*PBS KIDS and the PBS KIDS Logo are registered trademarks of PBS. Used with permission.\nThe contents of PBS KIDS Measure Up! were developed under a grant from the Department of Education. However, those contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government. The app is funded by a Ready To Learn grant (PR/AWARD No. U295A150003, CFDA No. 84.295A) provided by the Department of Education to the Corporation for Public Broadcasting.*\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }