PocketML vs equivalence principle

PocketML is an easy-to-use app for training and using machine learning models. It starts with linear regression to help users understand data and make predictions. PocketML is great for those interested in practical machine learning in a user-friendly way. Features: Data Table: Create, edit, and handle data tables in the app, including .xls file import. Graphs: Shows data and linear regression visually in an interactive way. Simple Interface: Great for beginners and experienced users in machine learning. DarkMode: For late science :) Models: - Linear Regression - Polynomial Regression More models are coming soon!

This app represents the equivalence principle which states that gravitational and inertial forces are of a similar nature and often indistinguishable. Left rocket is moving up with constant acceleration a, and right rocket is on the some planet where the gravitational acceleration is g. If a is equal to g, the motion of a ball which is dropped in the left rocket is the same as the motion of a ball which is dropped in the right rocket; two balls experience the same constant acceleration motion. This is the simple demonstration of the equivalence principle. This app doesn't simulate the whole motion of a ball. Only falling motion is intended to show the equivalence principle.