Navigating the Challenge of Imbalanced Datasets in Machine Learning
An imbalanced dataset is a dataset in which the number of samples in one or more classes is significantly higher or lower than the number of samples in other classes. In other words, an imbalanced dataset occurs when the distribution of samples across different classes is uneven. For example, if…
Navigating the Challenge of Imbalanced Datasets in Machine Learning An imbalanced dataset is a dataset in which the number of samples in one or more classes is significantly higher or lower than the number of samples in other classes. In other words, an imbalanced dataset occurs when the distribution of samples across different classes is uneven. For example, if… data-analysis
Navigating Challenge Imbalanced Datasets Machine Learning imbalanced dataset dataset number sample one class significantly higher lower number sample class word imbalanced dataset occurs distribution sample across different class uneven example if… dataanalysis