Summary

This dataset provides a breakdown of Google's performance across various classification models, indicating that top models like 4.8 and 5.0 achieve the highest success rates (99.11% and 97.51%, respectively), while models with slightly lower scores such as 3.02 and 3.3 consistently fall short of the top tier, resulting in very low success rates (99.11% and 95.60% respectively). Data from Google 12 highlights that model 3.02 achieves a 93.24% accuracy score. Overall, the text reveals a clear ranking of performance metrics where Google dominates in top categories with strong success, alongside 2GIS and legram showing consistent performance across different model versions. The final table summarizes these rankings, showing that top models (4.8 and 5.0) excel in specific domains like news and weather forecasting, while general-purpose models struggle significantly in complex datasets compared to specialized ones. The dataset contains detailed metrics and model statistics for 1600 different instances across 2GIS and 4.8, allowing for direct comparison of how various models perform on specific tasks. Key features include high accuracy scores (99.11%, 93.24%) for top-tier models, and lower scores (95.60%, 95.53%) for lower-performing models, which are crucial for evaluating model efficiency in real-world applications.

Title

Ruki - home repair service in Moscow

Description

Ruki is a home repair service in Moscow. ✅ Describe the task, meet the master and behold: the repair is done at a known price, with a guarantee and a contract.

Keywords

google

NS Lookup

A 178.72.149.45

Dates

Created 2026-04-15

Updated 2026-04-17

Summarized 2026-04-25