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Urvashi Jaitley

About Me

Urvashi Jaitley, Senior Software Engineer at Harman International, is a data scientist with interests in Machine Learning | Deep Learning | Python | SQL | Data Analytics | Data Visualization

Comparing Different Classification Machine Learning Models for an imbalanced dataset

A data set is called imbalanced if it contains many more samples from one class than from the rest of the classes. Data sets are unbalanced when at least one class is represented by only a small number of training examples (called the minority class) while other classes make up the majority. There are many reasons why a dataset might be imbalanced: the category one is targeting might be very rare in the population, or the data might simply be difficult to collect.

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