Machine Learning to analyze League of Legends

https://business.blogthinkbig.com/machine-learning-to-analyze-league-of/

D0740980

League of Legends analysis uses data obtained from 7 different leagues, which are distributed with the results of each game worldwide. What they are trying to predict for future games is whether a simple data classifier will win.

League of Legends used statistical data split in spring 2017, which started with a large number of data sets. They can access all variables of each game (players, winners, teams, gold medals, injuries, etc.), and then divide them further by team, and finally assign each player by ten variables.

After testing various methods for data analysis, they reached the following conclusions:

Unsupervised classification of each team is done by grouping variables on the subject: gold, CS ("agriculture"), ward, target, and KDA ratio.

Considering whether they are on the blue side or the red side, plus the winning trend of the last five games.

League of Legends will use unsupervised learning to characterize the teams in each game and supervised learning to predict future games.

Team data: 

League of Legends use team data to avoid player substitutions and changes.

Data Gaps:

Sometimes some members have different information than other team members. Through several tests, we have verified that the solution that provides better results is to replace those situations with the average of the corresponding variables.

With the data that has been optimized and prepared, we can proceed to group classification. We used unsupervised classification method, which includes Python's Sklearn library. The algorithm will analyze the team based on the previously selected game aspect and then classify it based on the team's behavior.

This is how League of Legends uses machines and big data to analyze and predict future games.


Comments

Post a Comment

Popular posts from this blog

How Big Data Can Boost Weather Forecasting

張岳庭 D0741017 Source:  https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/ Considering the number of variables involved and the complex interactions between these variables, weather forecasting has always been extremely challenging. The significant increase in data collection and processing capabilities has greatly improved the ability of weather forecasters to pinpoint the time and severity of hurricanes, floods, snowstorms and other weather events. Globally, more and more evidence of climate change is prompting governments and scientists to take action to protect people and property from its effects. But to take effective measures, they need to know more about the weather-from everything that will happen tomorrow to what will happen next year. According to the professor of economics and finance , Alan Anderson, PhD , “Example of an application of big data to weather forecasting is IBM’s Deep Thunder. Unlike many weather forecasting systems...
Read more

How Big Data is Changing the Production Industry

Blog#4 : How Big Data is Changing the Production Industry Name : Aileen 蔣慧玲 Student ID : D0726917 Source :   https://www.productionhub.com/blog/post/how-big-data-is-changing-the-production-industry Information technology plays a major role in Hollywood. Producers have to use big data analytics to get the right consumers and communicate with them well. Big data technologies will help filmmakers figure out the best ways to share their ideas and deliver messages, develop movies and content that involve ethical and societal issues. Therefore, information that we can get from the help of big data can help filmmakers make key decisions. Big Data is Changing the Production Game Big data technology can help filmmakers to connect and engage with consumers more directly using social media, mobile devices and traditional advertising outlets. Using this technology, producers can develop promotions that reaches the right consumer at the right time. It is not enough just to mainta...
Read more

Big Data case study: 5 relevant examples from the airline industry

D0740712 Connie  吳霈晴 Website: https://blog.datumize.com/5-relevant-examples-of-a-big-data-case-study-from-the-airline-industry With the summer vacation coming, travel is the one that people love to do during vacation, especially long vacation, going abroad may be the first choice for many travelers. So this makes me think of what is the relationship between big data and airplanes? How will it apply on the airline industry? This article tells about the benefits of big data on airlines, which covers three main advantages. 1.      Smarter maintenance 2.      Safer flights 3.      Improve service The first one includes the fuel of airplane, by analyzing and predicting, the article takes some specific airplane company as an example, giving the real number and how much they save the cost. Second, safety. Like this kind of transportation has a higher risk to take, if have the big data’s help, th...
Read more