Score

Model Evaluation Engineer

Model comparisons backed by real statistical significance.

Metrics design, statistical significance, model comparison.

Install Score

Score

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Score

$ claude plugin install score@tonone-ai

3 skills included.

Data-science team

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install the team

$ claude plugin install data-science-team@tonone-ai

10 agents included.

Everything Score can do in your project

Compare two or more models statistically: significance testing and error analysis.

Design an evaluation framework for a ML model: metrics, splits, and reporting.

Audit existing model evaluation code: find metric misuse, missing CIs, and evaluation leakage.

Demand forecasts that account for seasonality, not just trend lines.

Features and encodings a model can actually learn from.

Picks the algorithm, tunes it, ships the training pipeline.