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01_​Training_​a_​Churn_​Predictor

Training a Churn Predictor
Read Data Contract Data (CSV) Calls Data (XLS)Check the files in theworkflow data areaPull down for the nodes! Conversions Churn and Area Code to String Color Churn 0 -> Blue 1 -> Red Partitioning 80% training 20% testing Pre-processing / Data PreparationPull the annotations down if you want to know the nodes you need! Train Model Decision tree Save to PMML Evaluation Apply and score Model Churn Prediction - TrainingThis workflow is an example of how to train a basic machine learning model for a churn prediction task, using a Decision Tree algorithm. Read Data Contract Data (CSV) Calls Data (XLS)Check the files in theworkflow data areaPull down for the nodes! Conversions Churn and Area Code to String Color Churn 0 -> Blue 1 -> Red Partitioning 80% training 20% testing Pre-processing / Data PreparationPull the annotations down if you want to know the nodes you need! Train Model Decision tree Save to PMML Evaluation Apply and score Model Churn Prediction - TrainingThis workflow is an example of how to train a basic machine learning model for a churn prediction task, using a Decision Tree algorithm.

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Created by: rosy
Created at: 2015-04-23
On NodePit since: 2022-10-19
Last update: 2024-05-20
Created with KNIME version: v4.6.3
Tags: Customer IntelligenceCIchurndecision treePracticing Data Science

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