Problem Type

The Problem Type defines the category of the machine learning task. This selection helps the system choose the right algorithms, preprocessing steps, and evaluation metrics.

The available problem types are:

1. Classification – Predicts categories or labels (e.g., spam or not spam).
2. Regression – Predicts continuous values (e.g., price of a house).
3. Time Series Forecasting – Predicts future values based on historical time-based data.
4. Clustering – Groups data points into similar categories without using a target variable.
5. Document Similarity – Compares how similar two or more text documents are.
6. Anomaly Detection – Identifies unusual patterns or outliers in the data.

AION automatically analyzes your uploaded dataset and recommends the most suitable problem type based on the characteristics of your data.