This project compares the metrics of 3 machine learning models, Decision tree, XGBoost, and neural network in order to find the most accurate prediction of titanic survival.
AI CommitsPercent of added lines attributed to AI assistants (Copilot, Cursor, etc.). Based on 3.5K total added lines. Showing 0%? Attribution markers may be missing.
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Bot CommitsPercent of added lines from automation bots (Dependabot, Renovate, etc.). Based on 3.5K total added lines.
Developer Rank
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Organic ArchitectDeveloper rank is derived from the Human percentage shown in this summary.