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.