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Predict who will join once appt letters issued

It is a small but useful real dataset from a Corporation. The dataset is about candidates who finally join/or not join once offer letters are issued. Can we predict in advance who all are likey to join once selected and offer letters issued?

# LAst amended: 22nd Jan, 2023# Data source: RITES# Objective: To predict who all are likely to join once appointment letters are issued. TransformdobExtract: YearMonth and DayDropsno, shortlisted,dob,appnoRemove rowsfrom 'status' withvalues as 'absent'Stratified on'joined'70:30accuracy 80%but low F1 scoreRemove rowsfrom offer withvaues as 'no'Removeany constant colsdefaultconfNode 14Recruitmentdata(RITES) String to Date&Time Extract Date&TimeFields Column Filter Row Filter Partitioning Scorer Row Filter Constant ValueColumn Filter Random ForestLearner Random ForestPredictor Table Reader # LAst amended: 22nd Jan, 2023# Data source: RITES# Objective: To predict who all are likely to join once appointment letters are issued. TransformdobExtract: YearMonth and DayDropsno, shortlisted,dob,appnoRemove rowsfrom 'status' withvalues as 'absent'Stratified on'joined'70:30accuracy 80%but low F1 scoreRemove rowsfrom offer withvaues as 'no'Removeany constant colsdefaultconfNode 14Recruitmentdata(RITES)String to Date&Time Extract Date&TimeFields Column Filter Row Filter Partitioning Scorer Row Filter Constant ValueColumn Filter Random ForestLearner Random ForestPredictor Table Reader

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Created by: Ashok
Created at: 2023-01-19
On NodePit since: 2023-01-22
Last update: 2024-11-21
Created with KNIME version: v4.7.0
Tags: HR AnalyticsPeople's analyticsEmployee Recruitment

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