Case-Study-Applicants-for-a-Gold-Digger-position
OpenML dataset with id 43552
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Full work available at URL: https://api.openml.org/data/v1/download/22102377/Case-Study-Applicants-for-a-Gold-Digger-position.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 12 (numeric: 6, symbolic: 0 and in total binary: 0 )
Number of instances: 20,000
Number of instances with missing values: 979
Number of missing values: 999
Context This dataframe describes applications for a Gold Digger position. According to each applicants's characteristics, can you create the best model to classify whether a candidate is hired or not ? It is a good playground to harden your data science skills and try new models. Ideal to prepare interviews. Content This dataframe contains 20000 observations and 11 columns:
date: date of the application
age: age of the candidate
diplome: highest qualification diploma (bac, licence, master, doctorat)
specialite: minor of the diploma (geologie, forage, detective, archeologie,)
salaire: salary expectation
dispo: oui : directly available, non : not directly available
sexe: female (F) or male (M)
exp: years of relevant experience
cheveux: hair color (chatain, brun, blond, roux)
note: grade (out of 100) for gold digging exam
embauche: Has the candidate been hired ? (0 : no, 1 : yes)
This page was built for dataset: Case-Study-Applicants-for-a-Gold-Digger-position
