this link below https://www.kaggle.com/tadhgfitzgerald/fifa-international-soccer-mens-ranking-1993now is the data set If you can build an association rule in a rapid minor for this data set would be great Just create an association rule…. for this data presented PLEASE Please write in a few sentences what problem you can define or see… Write a summary of your finding of the problem

In this project, each team will use a publicly available dataset, define a data mining problem, and then use at least three different mining algorithms to mine the dataset, compare and contrast the performance of your chosen models, and interpret your findings. Teams will write a report summarizing their findings. The report is due on May 12th. To look for a dataset, you can go to Kaggle.com or UC Irvine machine learning data repository. There are plenty of data for you to choose from. Make sure you read files that describe the data before you engage in mining. You can use Rapid Miner, Python, Excel, or any tool of your choice – as we discussed in class, the key skill of a data analyst is NOT the tool that he/she uses, but how he/she applies the right model for the problem at hand, and how he/she interprets the results to make a difference. I would STRONGLY recommend that you choose a supervised learning problem, as it is a lot easier to measure the performance of your outcomes. In case you choose a supervised problem, the resulted confusion matrix and performance parameters need to be shown in your report and discussed. Specifically, what are the precision and recall rates? Which one serves as a more important measurement metric to this problem and why? Which algorithm performs best? What parameters were tuned, and how does that make a difference? In your discussion, focus on your findings and their significance, both mathematically and practically. As a team project, I would strongly recommend that you choose ONE dataset to work with. However, each team member should INDIVIDUALLY work on one algorithm and report his/her results. Here is a suggested structure of your final report:

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