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Multi Class Classification

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Feature Description

Users are now able to extract valuable insights and predictions from columns with diverse categorical data. This feature allows them to create classification models for columns with up to ten distinct classes.

End User Business Benefits

Expanded Modeling Capabilities

By leveraging Multi Class Classification, create classification models for columns with multiple distinct classes to extract valuable insights from varied data.

Improved Decision-Making

With Multi Class Classification, gain insights and predictions for diverse categorical data.

Enhanced Data Utilization

Tap into the power of diverse datasets for better predictions and data-driven decision-making.

Retail and E-Commerce
- Predict customer behavior and preferences for various product categories.
HR and Recruitment
- Categorize job applicants efficiently based on various criteria.
Manufacturing and Quality Control
- Predict product quality grades based on multiple attributes.

Use Cases

Retail Analysis

Create a multi-class classification model to predict customer preferences for product categories based on purchase history.

Human Resource Management

Categorize job applicants into skill levels, making the hiring process more efficient.

Quality Control

Predict product quality grades based on multiple criteria, improving quality control processes