This project utilizes a machine learning model to classify different types of cancer based on gene expression (RNA-Seq) data. The Principal Component Analysis (PCA) plot below visualizes the separation of cancer types in a lower-dimensional space, demonstrating the model's ability to distinguish between them.

You can interact with the model directly using the "Live Model Prediction" tool. By clicking the button, you can fetch a random sample from the test dataset and see how accurately the model predicts its true cancer type. This provides a real-time demonstration of the model's performance.