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Author: Admin | 2025-04-27
Derive new featuresFormat Data4) Data ModellingModelling is the heart of data analytics.It is performed in the following manner:Selection of modelling technique is the very first step to takeIt is followed by the generation of test scenario for validating the model’s quality.After that few more models are generated.All the models are then assessed to make sure that they fall in line with the business initiatives.5) Model Evaluation“True genius resides in the capacity for evaluation of uncertain, hazardous and conflicting information.”This is the fifth stage of the framework — model evaluation.The predictive models can be tested to assess their effectiveness in solving the problem. Modelling and evaluation together is an iterative process in which the models are tweaked until satisfactory evaluation results are obtained.6) Model Deployment“The goal is to turn data into information, and information into insight.”This is the last stage of the framework, where the model is translated into a business strategy. Business data is fed into the model and the model results are used to inform business decisions on an on-going basis.ADVANTAGES OF CRISP-DM frameworkCRISP-DM framework provides a uniform framework forGuidelines and experience documentationCRISP-DM is flexible to account for different business/agency problems and different data.
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