On the web, more datasets are becoming available. It opens up new possibilities for data-driven entertainment and information systems. For example, various sites provide prediction games, which are data-driven based on fantasy sports. Developers believe that prediction games can encourage users to investigate and study online datasets to enhance their data analysis abilities and understand the data’s subject. Prediction games are based on activities in which participants evaluate historical data and information resources to predict future occurrences. Prediksi Cambodia is what predictions games are called in Cambodia, and they are quite popular for entertainment purposes.
How they work
Prediction games have their certain programming and system, which always displays results without any favoured choice and randomly.
- These games look into the habits of existing prediction game players and the development of a domain-independent prediction game engine, and the creation of prediction games in other domains. Developers are particularly interested in how such games are used to teach data science. Understanding the history of fantasy sports and constructing a model were the starting points for this research. It necessitates an awareness of fantasy sports players’ habits. Sites design first data-driven prediction games based on this research to incentivize data analysis skills and domain expertise.
- There are mainly two games based on the prediction games engine that use meteorological data in the climate domain: Fantasy Climate and Fantasy Precipitation. Players are encouraged to explore for and comprehend long-term changes in weather data in Fantasy Climate. Each scoring period, players must choose two locations from a list: one for the site that will be the warmest relative to its historic standard, and the other for the place that will be the coolest compared to its historic standard. The measured temperature for the forecasted date is then graded based on how far it deviates from the historic norm.
- Imagination Precipitation invites players to look for long-term patterns in precipitation data and use those findings to succeed in the game. Players must forecast whether precipitation (snow or rain) will occur on a specified day within a particular date range (e.g. seven days) in each city in a particular set. The number of correct predictions determines the score.
- The prediction games system is similar to that of fantasy sports because it is based on web apps. It uses a three-layer service-oriented architecture as its foundation: the client, which is the collection of user interfaces, the web services, maintains the prediction game engine’s logic, and the store, which is used to handle the game material. These layers are supposed to be self-contained and interact through application programming interfaces (APIs). Therefore, changes or modifications to the system are well confined and essentially non-disruptive to the system’s overall coherence.
- The online portal via which people engage with the prediction game system is known as the client layer. The activity interfaces allow participants to create and configure prediction activities as well as see activity details. Players establish or update their user accounts and authenticate to the prediction game website using the account interfaces. Finally, the players must use the prediction interface to create and submit their predictions while the activity progresses. It’s worth noting that the prediction interface is influenced by the activity and, much more so, by the domain. The toolkit consists of a collection of interactive data display interfaces that are used to aid decision-making. Players can review their performance and rank on the outcome once their predictions have been scored.
In addition, the community interfaces make it easier for people to interact throughout the activity. The client and the web services are connected through a web API.