Egg-Producing-Chickens

OpenML dataset with id 43515

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22102340/Egg-Producing-Chickens.arff

Upload date: 23 March 2022

Dataset Characteristics

Number of features: 16 (numeric: 7, symbolic: 0 and in total binary: 0 )
Number of instances: 1,000
Number of instances with missing values: 1,000
Number of missing values: 1,080

Description

Context This data set could be used without permission for purposes of enhancing machine learning and data science. It can easily be adapted for classification, regression and clustering. At a practical level, such machine learning could be applied to determine which chickens are due for curling or approximating the number of eggs to be harvested Content GallusBreed - breed of chicken such as Buff Orpington chicken Day - an integer indicating the day on which an observation was made Age - age of the chicken in weeks GallusWeight - weight of the chicken in grams GallusEggColor - color of the eggs GallusEggWeight - weight of the eggs in grams AmountOfFeed - amount of feed in grams the chicken consumed per day EggsPerDay - number of eggs a chicken laid on a particular day GallusCombType - comb type of a particular chicken SunLightExposure - number of hours a chicken is exposed to natural light (sunlight) in a day GallusClass - chicken classes as classified by international Poultry associations GallusLegShanksColor - color of the legs/feet and shanks on them GallusBeakColor - color of the chickens beak GallusEarLobesColor - color of the chicken earlobes GallusPlumage - color of the feathers Acknowledgements http://www.chickenbreedsoftheworld.com https://www.thehappychickencoop.com/10-breeds-of-chicken-that-will-lay-lots-of-eggs-for-you https://www.starmilling.com/poultry-chicken-breeds.php https://agronomag.com/top-13-best-egg-laying-chicken-breeds Inspiration I am very passionate about Data Science, Machine Learning and Artificial Intelligence. My challenge at the moment is the lack of active participation from the African continent. It is for this reason that I am of the view that my contribution of this data set will add to the African contribution to the broader Data Science, Machine Learning and Artificial Intelligence ecosystem

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