Summary
An autonomous ML agent, inspired by Karpathy's AutoResearch, has been developed to continuously conduct experiments on tabular binary classification tasks. Utilizing Claude Code, the agent analyzes data, forms hypotheses, edits specific code files (feature engineering, hyperparameters, analysis), runs experiments, and evaluates results with expanding time windows. It manages its code changes via Git, allowing it to loop indefinitely and autonomously improve models.
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