Connectionist Bench (Sonar, Mines vs. Rocks)
The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock.
Dataset Characteristics
Multivariate
Subject Area
Physics and Chemistry
Associated Tasks
Classification
Feature Type
Real
# Instances
208
# Features
60
Dataset Information
Additional Information
The file "sonar.mines" contains 111 patterns obtained by bouncing sonar signals off a metal cylinder at various angles and under various conditions. The file "sonar.rocks" contains 97 patterns obtained from rocks under similar conditions. The transmitted sonar signal is a frequency-modulated chirp, rising in frequency. The data set contains signals obtained from a variety of different aspect angles, spanning 90 degrees for the cylinder and 180 degrees for the rock. Each pattern is a set of 60 numbers in the range 0.0 to 1.0. Each number represents the energy within a particular frequency band, integrated over a certain period of time. The integration aperture for higher frequencies occur later in time, since these frequencies are transmitted later during the chirp. The label associated with each record contains the letter "R" if the object is a rock and "M" if it is a mine (metal cylinder). The numbers in the labels are in increasing order of aspect angle, but they do not encode the angle directly.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Attribute1 | Feature | Continuous | no | ||
| Attribute2 | Feature | Continuous | no | ||
| Attribute3 | Feature | Continuous | no | ||
| Attribute4 | Feature | Continuous | no | ||
| Attribute5 | Feature | Continuous | no | ||
| Attribute6 | Feature | Continuous | no | ||
| Attribute7 | Feature | Continuous | no | ||
| Attribute8 | Feature | Continuous | no | ||
| Attribute9 | Feature | Continuous | no | ||
| Attribute10 | Feature | Continuous | no |
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Baseline Model Performance
Dataset Files
| File | Size |
|---|---|
| sonar.all-data | 85.7 KB |
| sonar.mines | 48.1 KB |
| sonar.rocks | 42 KB |
| sonar.names | 5.7 KB |
| Index | 178 Bytes |
Papers Citing this Dataset
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By Ahmed Sadiq, Karrar Musawi. 2018
Published in International Journal on Perceptive and Cognitive Computing.
By Boxiang Wang, Hui Zou. 2015
Published in
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset connectionist_bench_sonar_mines_vs_rocks = fetch_ucirepo(id=151) # data (as pandas dataframes) X = connectionist_bench_sonar_mines_vs_rocks.data.features y = connectionist_bench_sonar_mines_vs_rocks.data.targets # metadata print(connectionist_bench_sonar_mines_vs_rocks.metadata) # variable information print(connectionist_bench_sonar_mines_vs_rocks.variables)
Sejnowski, T. & Gorman, R. (1988). Connectionist Bench (Sonar, Mines vs. Rocks) [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5T01Q.
Creators
Terry Sejnowski
R. Gorman
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.