This repository contains a collection of machine learning models trained on a variety of standard datasets. It serves as a centralized resource for experimenting with regression and classification tasks, showcasing model parameters, metadata, and performance across different problem domains.
You can run any of the experiments via cargo run --bin <module_name>. For example:
cargo run --bin iris
cargo run --bin house_prices| Dataset | Task Type | File Path |
|---|---|---|
| Iris | Classification | data/iris.parquet |
| Breast Cancer | Classification | data/breast_cancer.parquet |
| California Housing | Regression | data/california_housing.parquet |
| Diabetes | Regression | data/diabetes.parquet |
| Student Performance | Regression | data/student_performance.parquet |
| Bike Rentals (Hourly) | Regression/Time Series | data/bike_rentals_hourly.parquet |