A DATA-DRIVEN METHOD FOR SELECTING OPTIMAL MODELS BASED ON GRAPHICAL VISUALISATION OF DIFFERENCES IN SEQUENTIALLY FITTED ROC MODEL PARAMETERS

A Data-Driven Method for Selecting Optimal Models Based on Graphical Visualisation of Differences in Sequentially Fitted ROC Model Parameters

Differences in modelling techniques and model performance assessments typically impinge on the quality of knowledge extraction from data.We propose an algorithm for determining optimal patterns in data by separately training and Shoes - Mens testing three decision tree models in the Pima Indians Diabetes and the Bupa Liver Disorders datasets.Model

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