A Study on the Performance of Classification Models for COVID-19 Datasets
Main Article Content
Abstract
In today’s world, classification algorithm is successfully applied to predict the zone based on the zip code of the dataset. Different classification algorithms can are applied to the dataset to devise method, which predicts the status of the zone for the given zip code available in the dataset. The accuracy of the methods differs from the classification algorithm used. It is very challenging to identify the best classification algorithm. Here, we attempt to make a comparative analysis and evaluations of the performance of different classification are done for the given data sets. As the datasets are getting increases, the algorithm performed better for its accuracy
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.