---
title: "Model Evaluation"
url: https://docs.catalyst.zoho.com/en/tutorials/customer-segmentation-analysis/model-evaluation/
description: "Create and configure a data and ML pipeline with a readily available dataset to analyze customer segmentation, using the Catalyst QuickML service."
last_updated: 2026-11-04T10:10:44Z
service: All Services
type: tutorial
related_links:
  - name: "ML Algorithms in QuickML"
    url: /en/quickml/help/ml-algorithms/classification-algorithms
  - name: "Operations in QuickML"
    url: /en/quickml/help/operations-in-quickml/encoding
---

The   Model Details   page contains  evaluation metrics that help  y ou  understand  model performance during the training and validation process, clustering visualizations to view the customer  dispersion between clusters ,  and  model versioning details.    

Model versions are typically used to track the improvement or degradation of the performance with  selected metrics as evaluation criteria  for  frequent model trainings.   

**Evaluation metrics**   

Clustering metrics are derived by the performance of the model during  the  training and validation process ,  similar to any machine learning model .   

![model-evaluation-1](https://catalyst-docs-development.zohostratus.in/images/tutorials/customer-segmentation-analysis/model-evaluation-1.webp)

Learn more about model evaluation metrics in[ our documentation](https://docs.catalyst.zoho.com/en/quickml/help/learning-center/clustering/#clustering-evaluation-metrics) .   

**Visualizations**   

To  evaluate the dispersion of records into clusters, QuickML  can  generate  a couple of visualizations to assist in  analysis .    

![model-evaluation-2](https://catalyst-docs-development.zohostratus.in/images/tutorials/customer-segmentation-analysis/model-evaluation-2.webp) 

1. Cluster distribution_  shows  how many data points fall into each cluster .   

2. Cluster _plot_  highlights  how clusters are separated in a lower-dimensional space.   

Learn more about the cluster visualizations  [in our documentation](https://docs.catalyst.zoho.com/en/quickml/help/learning-center/clustering/#visual-evaluation-of-clusters) .    

**View model predictions**   

On top of the model evaluation metrics and model visualizations, QuickML also provides  a  model predictions dataset.   The original training dataset is equipped with a column called  **Cluster** . This column contains the cluster information of each customer ,  which you can find using cust_id. It specifies a customer can belong to only one of the clusters .    

![model-evaluation-3](https://catalyst-docs-development.zohostratus.in/images/tutorials/customer-segmentation-analysis/model-evaluation-3.webp)  

The  model predictions dataset generated by the model can be downloaded locally and  used for further analysis of each customer segment .