Colors Bob¶
This dataset consists of colors prepared by mixing varying amounts of 5 colored dyes (red, orange, yellow, blue, green). The parameters represent fractions of each dye used in a mixture. The target is the normalized green-like RGB value [0.16, 0.56, 0.28]. Experiments are performed using the Bayesian Optimized Bartender (BOB). 1
The dataset includes 241 samples with four parameters and one objective.
Feature  | 
Kind  | 
Settings  | 
Description  | 
|---|---|---|---|
red  | 
continuous  | 
[ 0, 1]  | 
amount of red  | 
orange  | 
continuous  | 
[ 0, 1]  | 
amount of orange  | 
yellow  | 
continuous  | 
[ 0, 1]  | 
amount of yellow  | 
blue  | 
continuous  | 
[ 0, 1]  | 
amount of blue  | 
green  | 
continuous  | 
[ 0, 1]  | 
amount of green  | 
Objective  | 
Kind  | 
Goal  | 
|---|---|---|
distance to green  | 
continuous  | 
minimize  | 
Reference
- 1
 L.M. Roch, F. Häse, C. Kreisbeck, T. Tamayo-Mendoza, L.P.E. Yunker, J.E. Hein, A. Aspuru-Guzik. ChemOS: Orchestrating autonomous experimentation. Science Robotics (2018), 3(19), eaat5559.