KNN Classification Using Analytic Solver
In this video, you’ll learn how to perform K-Nearest Neighbors (KNN) Classification using Analytic Solver, a powerful data mining and machine learning add-in for Excel. I’ll guide you step-by-step through setting up the model, interpreting the results, and evaluating performance.
Although the demo uses Excel, the core concepts and analysis techniques can be applied just as easily in platforms like Python, R, or other data science tools.
3:03 Results walk-through
6:00 ROC Curve
7:50 Lift Chart
What You’ll Learn:
How to build a KNN classification model in Analytic Solver (Excel)
Understanding how KNN works for classification tasks
Selecting the optimal value of K
Evaluating model accuracy and performance
Mini-lecture on ROC curve and lift chart starts at 6:01
How to apply these concepts across different software tools
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