topprismdata

Use when: (1) Entering a new Kaggle competition and unsure what type it is, (2) Need to choose between forking public kernels vs building…

Prevent wasted research by verifying Kaggle competition data format BEFORE investing in RAG, technical planning, or model architecture…

Use when looking for top-solution tricks on a Kaggle competition, when needing CV-LB gap discussions, when validating a strategy against…

Standard Operating Procedure for ANY Kaggle experiment or competition entry.

Use when: (1) Your OOF score improved but LB didn't (or got worse), (2) You need to decide whether to submit based on OOF alone, (3)…

Optimal blending strategy for Kaggle competitions: 80/20 rule (re-ranking vs raw).

Systematically replicate and learn from top Kaggle performers.

Use when: (1) You've completed a competition or experiment and want to extract reusable knowledge, (2) Your agent keeps repeating the same…

Use when: (1) Your agent's LB score drops dramatically week-over-week without code changes, (2) You're tempted to add "meta-aware" bonuses…

Use when: (1) You have a strong hand-crafted baseline (heuristic, rule-based agent, domain-expert system) and want to improve it with ML…

Use when: (1) Entering an LLM-based Kaggle competition (open-source model required, prompt engineering, few-shot), (2) Need to choose…

Match the submission file format to the competition's evaluation metric BEFORE submitting.