Proof of Usefulness Report

Scikit-Learn

Analysis completed on 3/16/2026

-89

Proof of Usefulness Score

Lab Mode

While Scikit-Learn is a foundational, massive-scale open-source machine learning library, this specific submission exhibits severe red flags indicating an imposter. The claimed launch date of 2019 is incorrect (launched in 2007), the '2500000 marketcap' claim is nonsensical for this OSS project, and the traction evidence is suspiciously vague and unverified. Per calibration guidelines, submissions with critical red flags and fraudulent signals must receive a score below 0.

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Score Breakdown

Real World Utility-10

Audience Reach Impact-20

Technical Innovation-30

Evidence Of Traction-15

Market Timing Relevance-20

Functional Completeness-10

Subtotal-105

Usefulness Multiplierx0.85

Final Score-89

Project Details

Project URL

scikit-learn.org

Description

scikit-learn is an Open Source library for machine learning in Python.

Algorithm Insights

Market Position

Early stage requiring focused development

User Engagement

Documented reach suggests active user community

Technical Stack

Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline