Model-Based Feature Vectors

This CSV file contains model-based feature vectors for a the entire dataset, with 109,963 samples and 384 dimensions. Each row in the file represents a sample, and each column represents a feature.

The feature vectors were generated using a deep learning model trained on the dataset. See the article for further information.

The feature vectors can be used as input to other machine learning models or for data analysis tasks. They can also be used to visualize the data in lower dimensions using techniques such as t-SNE or PCA.

File Format

The file is in CSV format, with each row representing a sample and each column representing a feature. The first row of the file contains the column names, which you can disregard, and there is no index.