•\tThe competition will be opened January 6th 2020 and it will will be closed one week 10 of the winter quarter.\n
•\tStudents will be evaluated based on:\n
1.\tValidity of the model\n
2. The R square\n
3.\tThe R square adjusted\n
4.\tThe simplicity of the model (number of predictors used to create the model).\n
•\tStudents should report leverage points good ones and bad ones, and explain how they dealt with these kind of points.\n
•\tStudents should report missing values, and explain how they dealt with these kind of missing data.\n
•\tStudents should report transformations used to get their last and best Model.\n
•\tStudents should report their best predictor(s).\n
•\tStudents are only allowed to use lm, bestpredictor, glm functions in R\n
•\tStudents are not allowed to use any of the Machine Learning techniques or function to predict the players’ annual salary.\n
•\tThe score of this project will be given to all members of the group assigned at the beginning of the quarter.\n
•\tEach group will have 3-4 members. If some students drop from the class, two students are still enough to finish the project.\n
•\tStudents should have the lecture name and number as part of their group nickname… (such as: Lec 1 AlmoGroup).\n
•\tStudents are first ranked based on all groups in our three lectures, then the final ranking and grades will be based independently on each lecture.\n\n
•\tAbout the Data Files:
\n\nAttributes:
\nData file includes latest edition FIFA players’ attributes like:
\n \nAge, Nationality, Overall, Potential, Club, Wage, Preferred Foot, International Reputation, Weak Foot, Skill Moves, Work Rate, Position, Jersey Number, Joined, Contract Valid Until, Height, Weight, LS, ST, RS, LW, LF, CF, RF, RW, LAM, CAM, RAM, LM, LCM, CM, RCM, RM, LWB, LDM, CDM, RDM, RWB, LB, LCB, CB, RCB, RB, Crossing, Finishing, Heading, Accuracy, ShortPassing, Volleys, Dribbling, Curve, FKAccuracy, LongPassing, BallControl, Acceleration, SprintSpeed, Agility, Reactions, Balance, ShotPower, Jumping, Stamina, Strength, LongShots, Aggression, Interceptions, Positioning, Vision, Penalties, Composure, Marking, StandingTackle, SlidingTackle, GKDiving, GKHandling, GKKicking, GKPositioning and GKReflexes.\n
\nrow number\tAge\tage\tNationality\n
nationality\tOverall\toverall rating\tPotential\n
potential rating\tClub\tcurrent club\tWage (Target Variable)\n
current wage in thousands of dollars\tSpecial\tPreferred Foot\tleft/right\n
International Reputation\trating on scale of 5\tWeak Foot\trating on scale of 5\n
Skill Moves\trating on scale of 5\tWork Rate\tattack work rate/defence work rate\n
Body Type\tbody type of player\tReal Face\tPosition\n
position on the pitch\tJersey Number\tjersey number\tJoined\n
joined date\tclub name if applicable\tContract Valid Until\tcontract end date\n
Height\theight of the player\tWeight\tweight of the player\n
LS\trating on scale of 100\tST\trating on scale of 100\n
RS\trating on scale of 100\tLW\trating on scale of 100\n
LF\trating on scale of 100\tCF\trating on scale of 100\n
RF\trating on scale of 100\tRW\trating on scale of 100\n
LAM\trating on scale of 100\tCAM\trating on scale of 100\n
RAM\trating on scale of 100\tLM\trating on scale of 100\n
LCM\trating on scale of 100\tCM\trating on scale of 100\n
RCM\trating on scale of 100\tRM\trating on scale of 100\n
LWB\trating on scale of 100\tLDM\trating on scale of 100\n
CDM\trating on scale of 100\tRDM\trating on scale of 100\n
RWB\trating on scale of 100\tLB\trating on scale of 100\n
LCB\trating on scale of 100\tCB\trating on scale of 100\n
RCB\trating on scale of 100\tRB\trating on scale of 100\n
Crossing\trating on scale of 100\tFinishing\trating on scale of 100\n
HeadingAccuracy\trating on scale of 100\tShortPassing\trating on scale of 100\n
Volleys\trating on scale of 100\tDribbling\trating on scale of 100\n
Curve\trating on scale of 100\tFKAccuracy\trating on scale of 100\n
LongPassing\trating on scale of 100\tBallControl\trating on scale of 100\n
Acceleration\trating on scale of 100\tSprintSpeed\trating on scale of 100\n
Agility\trating on scale of 100\tReactions\trating on scale of 100\n
Balance\trating on scale of 100\tShotPower\trating on scale of 100\n
Jumping\trating on scale of 100\tStamina\trating on scale of 100\n
Strength\trating on scale of 100\tLongShots\trating on scale of 100\n
Aggression\trating on scale of 100\tInterceptions\trating on scale of 100\n
Positioning\trating on scale of 100\tVision\trating on scale of 100\n
Penalties\trating on scale of 100\tComposure\trating on scale of 100\n
Marking\trating on scale of 100\tStandingTackle\trating on scale of 100\n
SlidingTackle\trating on scale of 100\tGKDiving\trating on scale of 100\n
GKHandling\trating on scale of 100\tGKKicking\trating on scale of 100\n
GKPositioning\trating on scale of 100\tGKReflexes\trating on scale of 100\n\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "
The evaluation metric for this competition is based on R-square of your predicted Wage vs the real value of Wage on every submission you made compared to the Professor or TA's models.
\nYou must check the validation of your model to get your real rank.
\nInvalid models are not accepted in the final grading scheme.
\n\nFor every author in the dataset, submission files should contain two columns: Ob and WageNew. Submission files should be a csv file format.
\n\nThe file should contain a header and have the following format:
\n\nOb, WageNew\n\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Timeline", "content": "03/23/2020 3:00 AM Eastern Time, Midnight Pacific Time", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Prizes", "content": "
1, 1230
8, 5420
9, 2015
10, 3165
etc.
Trophies will be given to the top three teams.
", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "FIFA: The Fédération Internationale de Football Association[a] (FIFA /ˈfiːfə/ FEEF-ə; French for 'International Federation of Association Football') is an organization which describes itself as an The Fédération Internationale de Football Association[a] (FIFA /ˈfiːfə/ FEEF-ə; French for 'International Federation of Association Football') is an organization which describes itself as an international governing body of association football, fútsal, beach soccer, and eFootball. FIFA is responsible for the organization of football's major international tournaments, notably the World Cup which commenced in 1930 and the Women's World Cup which commenced in 1991.
\n\n\nFIFA was founded in 1904 to oversee international competition among the national associations of Belgium, Denmark, France, Germany, the Netherlands, Spain, Sweden, and Switzerland. Headquartered in Zürich, its membership now comprises 211 national associations. Member countries must each also be members of one of the six regional confederations into which the world is divided: Africa, Asia, Europe, North & Central America and the Caribbean, Oceania, and South America.
\n\n\nAlthough FIFA does not control the rules of football, that being the responsibility of the International Football Association Board, it is responsible for both the organization of a number of tournaments and their promotion, which generate revenue from sponsorship. In 2017, FIFA had revenues of over US $734 million, for a net loss of $189 million, and had cash reserves of over US$930 million.
\n\n\nReports by investigative journalists have linked FIFA leadership with corruption, bribery, and vote-rigging related to the election of FIFA president Sepp Blatter and the organization's decision to award the 2018 and 2022 World Cups to Russia and Qatar, respectively. These allegations led to the indictments of nine high-ranking FIFA officials and five corporate executives by the U.S. Department of Justice on charges including racketeering, wire fraud, and money laundering. On 27 May 2015, several of these officials were arrested by Swiss authorities, who were launching a simultaneous but separate criminal investigation into how the organization awarded the 2018 and 2022 World Cups. Those among these officials who were also indicted in the U.S. are expected to be extradited to face charges there as well. Many officials were suspended by FIFA's ethics committee including Sepp Blatter and Michel Platini. In early 2017 reports became public about FIFA president Gianni Infantino attempting to prevent the re-elections of both chairmen of the ethics committee, Cornel Borbély and Hans-Joachim Eckert, during the FIFA congress in May 2017. On May 9, 2017, following Infantino's proposal, FIFA Council decided not to renew the mandates of Borbély and Eckert. Together with the chairmen, 11 of 13 committee members were removed.
\n\n\nWe thank FIFA Website for providing us with this dataset.
\n\nThe Kaggle leaderboard has a public and private component to prevent participants from “overfitting” to the leaderboard. If your model is “overfit” to a dataset, then it is not generalizable outside of the dataset you trained it on. This means that your model would have low accuracy on another sample of data taken from a similar dataset.
\n\nPublic Leaderboard
\nFor all participants, the same 50% of predictions from the test set are assigned to the public leaderboard. The score you see on the public leaderboard reflects your model’s accuracy on this portion of the test set.\n\nPrivate Leaderboard
\n\nThe other 50% of predictions from the test set are assigned to the private leaderboard. The private leaderboard is not visible to participants until the competition has concluded. At the end of a competition, we will reveal the private leaderboard so you can see your score on the other 50% of the test data. The scores on the private leaderboard are used to determine the competition winners. Getting Started competitions are run on a rolling timeline so the private leaderboard is never revealed.
\n\nWhen you accept the competition rules, a team will be created for you. You can invite others to your team based on the posted teams on ccle, accept a merger with another team, and update basic information like team name by going to the More < Team page.
\n\nWe've heard from many Kagglers that teaming up is the best way to learn new skills AND have fun. If you don't have a teammate already, consider asking if anyone wants to team up in the discussion forum.
\n\nKaggle Kernels is a cloud computational environment that enables reproducible and collaborative analysis. Kernels supports scripts in R and Python, Jupyter Notebooks, and RMarkdown reports. Go to the Kernels tab to view all of the publicly shared code on this competition. For more on how to use Kernels to learn data science, visit the Read more about our decision to implement a rolling leaderboard on getting started competitions here.
\n\nKaggle does not have a dedicated support team so you’ll typically find that you receive a response more quickly by asking your question in the appropriate forum. (For this competition, you’ll want to use the House Prices discussion forum).
\n\nSupport is only able to help with issues that are being experienced by all participants. Before contacting support, please check the discussion forum for information on your problem. If you can’t find it, you can post your problem in the forum so a fellow participant or a Kaggle team member can provide help. The forums are full of useful information on the data, metric, and different approaches. We encourage you to use the forums often. If you share your knowledge, you'll find that others will share a lot in turn!
\n\nOne account per participant: You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.
\n\nNo 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\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\nMaximum of 4 members per team.
\n\nYou may submit a maximum of 3 entries per day.
\nYou may select up to 2 final submissions for judging.
\n\nStart Date: 01/13/2020
\nMerger Deadline: None
\nEntry Deadline: None
\n•\tDue to the public nature of the data, this competition does not count towards Kaggle ranking points.
\n•\tWe ask that you respect the spirit of the competition and do not cheat. Hand-labeling is forbidden.
\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }