See the Label Distribution of a Machine Learning Model

In machine learning, labels are essential as they instruct the model on how to categorize input data. For optimal accuracy, it's crucial that these labels are distributed evenly across the dataset. Reviewing the label distribution of your machine learning model helps ensure balanced data, leading to better performance and more accurate predictions. Here's a straightforward guide to checking the label distribution within your model.

Steps to Check Label Distribution

1. Locate Your Model

Navigate to the "Models" section to find the machine learning model you wish to examine for label distribution.

2. Select the Model

Click on the model to open its detailed view.

3. Access the Explore Menu

In the left menu, find and click "Explore" to access the model's analysis tools.

4. View Label Distribution

In the right corner of the Explore page, you'll find a visual representation of the label distribution for your model.

By following these steps, you can easily monitor and adjust the distribution of labels in your model, ensuring that it remains balanced and effective for analysis. This insight is crucial for maintaining the accuracy and reliability of your machine learning outcomes.