Machine Learning: Why accuracy is not always the best metric?

Dream. Dare. Do – that is Suyati’s work principle in a nutshell.

Accuracy is the most used metric for deciding which Machine Learning algorithm to be used to solve a problem. The algorithm which gives better accuracy score is finalized for that business problem. However, there are some business cases where the data set is highly imbalanced and accuracy cannot be used. In this case, other metrics need to be used for deciding the learning algorithm

Suyati is conducting a live webinar on 'Why accuracy is not always the best metric in machine learning'

Do join this on-demand webinar!


M Aditya Vamsi Kiran

Data Analyst

M Aditya Vamsi Kiran is currently working as Data Analyst in Suyati Technologies. He has more than 5 years of experience in IT Industry and is is a certified Business Analyst from Indian School of Business, Hyderabad. He has worked on Database Administration, Data Analysis, Natural Language Processing & Machine Learning projects.

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