ERA
OpenML dataset with id 1030
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/53564/ERA.arff
Upload date: 4 October 2014
Dataset Characteristics
Number of classes: 0
Number of features: 5 (numeric: 5, symbolic: 0 and in total binary: 0 )
Number of instances: 1,000
Number of instances with missing values: 0
Number of missing values: 0
Author: Source: Unknown - Date unknown Please cite:
1. Title: Employee Rejection\Acceptance (Orinal ERA)
2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel abendav@hait.ac.il Owner: Yoav Ganzah Business Administration School Tel Aviv Univerity Ramat Aviv 69978 Israel
3. Past Usage:
4. Relevant Information The ERA data set was originally gathered during an academic decision-making experiment aiming at determining which are the most important qualities of candidates for a certain type of jobs. Unlike the ESL data set (enclosed) which was collected from expert recruiters, this data set was collected during a MBA academic course. The input in the data set are features of a candidates such as past experience, verbal skills, etc., and the output is the subjective judgment of a decision-maker to which degree he or she tends to accept the applicant to the job or to reject him altogether (the lowest score means total tendency to reject an applicant and vice versa).
5. Number of Instances: 1000
6. Number of Attributes: 4 input, 1 output.
7. Attribute Information: All input and output values are ORDINAL.
8. Missing Attribute Values: None.
9. Class Distribution:
This page was built for dataset: ERA
