mnemoraorg/sonar-rock-mine
The Sonar Rock Mine is a well-known benchmark dataset in the field of machine learning and pattern recognition, originally collected for the purpose of distinguishing between mines (M) and rocks (R) using sonar signals. Dataset Overview: File: raw_sonar.csv Number of Features: 60 continuous numerical values per instance Target Label: One class label at the end of each row, either: M → Mine (target object: simulated sea mine) R → Rock (non-mine object) Total Instances: The… See the full description on the dataset page: https://huggingface.co/datasets/mnemoraorg/sonar-rock-mine.
| Author / organization | mnemoraorg |
|---|---|
| License (as declared) | ecl-2.0 |
| Downloads | 152 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 11 August 2025 |
| Last updated at source | 11 August 2025 |
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- 17 Oct 2026 Description: The Sonar Rock Mine is a well-known benchmark dataset in the field of machine learning and pattern recognition, originally collected for the purpose of distinguishing between mines (M) and rocks (R) using sonar signals. Dataset Overview: Fi → The Sonar Rock Mine is a well-known benchmark dataset in the field of machine learning and pattern recognition, originally collected for the purpose of distinguishing between mines (M) and rocks (R) using sonar signals. Dataset Overview: Fi
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