algae: Training data for predicting algae blooms
In DMwR: Functions and data for "Data Mining with R"
Description
Usage
Format
Source
Description
This data set contains observations on 11 variables as well
as the concentration levels of 7 harmful algae. Values were
measured in several European rivers. The 11 predictor
variables include 3 contextual variables (season, size and
speed) describing the water sample, plus 8 chemical
concentration measurements.
Usage
1
Format
A data frame with 200 observations and 18 columns.
Source
ERUDIT http://www.erudit.de/ - European Network for Fuzzy Logic and
Uncertainty Modelling in Information Technology.
DMwR documentation built on May 1, 2019, 9:17 p.m.
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Description Usage Format Source
Description
This data set contains observations on 11 variables as well as the concentration levels of 7 harmful algae. Values were measured in several European rivers. The 11 predictor variables include 3 contextual variables (season, size and speed) describing the water sample, plus 8 chemical concentration measurements.
Usage
1 |
Format
A data frame with 200 observations and 18 columns.
Source
ERUDIT http://www.erudit.de/ - European Network for Fuzzy Logic and Uncertainty Modelling in Information Technology.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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