Machine Learning: Analyzing

Students train and interact with an AI model using Teachable Machine, upload labeled datasets, test classification accuracy, and analyze how training data properties affect model output. Students reflect on outputs that differ from their expectations and connect training data quantity and quality to model accuracy.