Coil 1999 Competition Data
Donated on 9/8/1999
This data set is from the 1999 Computational Intelligence and Learning (COIL) competition. The data contains measurements of river chemical concentrations and algae densities.
Dataset Characteristics
Multivariate
Subject Area
Physics and Chemistry
Associated Tasks
-
Feature Type
Categorical, Real
# Instances
340
# Features
-
Dataset Information
Additional Information
This data comes from a water quality study where samples were taken from sites on different European rivers of a period of approximately one year. These samples were analyzed for various chemical substances including: nitrogen in the form of nitrates, nitrites and ammonia, phosphate, pH, oxygen, chloride. In parallel, algae samples were collected to determine the algae population distributions. The competition involved the prediction of algal frequency distributions on the basis of the measured concentrations of the chemical substances and the global information concerning the season when the sample was taken, the river size and its flow velocity. The competition instructions contain additional information on the prediction task: http://kdd.ics.uci.edu/databases/coil/instructions.txt
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 10 of 17
Additional Variable Information
There are a total of 340 examples each containing 17 values. The first 11 values of each data set are the season, the river size, the fluid velocity and 8 chemical concentrations which should be relevant for the algae population distribution. The last 8 values of each example are the distribution of different kinds of algae. These 8 kinds are only a very small part of the whole community, but for the competition we limited the number to 7. The value 0.0 means that the frequency is very low. The data set also contains some empty fields which are labeled with the string XXXXX. The training data are saved in the file: analysis.data (ASCII format). Table 1: Structure of the file analysis.data A ... K a ... g CC1,1 ... CC1,11 AG1,1 ... AG1,7 ... CC200,1 ... CC200,11 AG200,1 ... AG200,7 Explanation: CCi,j: Chemical concentration or river characteristic AGi,j: Algal frequency The chemical parameters are labeled as A, ..., K. The columns of the algaes are labeled as a, ..,g.
Dataset Files
| File | Size |
|---|---|
| results.htm | 196 KB |
| analysis.data | 28.9 KB |
| r2 | 22.5 KB |
| results.txt | 22.5 KB |
| results.data | 20.2 KB |
0 to 5 of 9
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset coil_1999_competition_data = fetch_ucirepo(id=118) # data (as pandas dataframes) X = coil_1999_competition_data.data.features y = coil_1999_competition_data.data.targets # metadata print(coil_1999_competition_data.metadata) # variable information print(coil_1999_competition_data.variables)
Coil 1999 Competition Data [Dataset]. (1999). UCI Machine Learning Repository. https://doi.org/10.24432/C59W45.
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.