For Analytic Solver, partition the data sets into 50% training, 30% validation, and 20% test and use 12345 as the default random seed.When searching for the optimal value of k, search within possible k values from 1 to 10. If the predictor variable values are in thecharacter format, then treat the predictor variable as a categorical variable. Otherwise, treat the predictor variable as a numericalvariable.The Chartered Financial Analyst (CFA) designation is the de facto professional certification

What is data splitting and why is it important?

Train Test Split: What it Means and How to Use It | Built In

Preparing Your Dataset for Machine Learning: 10 Steps

Model Validation and Testing: A Step-by-Step Guide | Built In

Data Validation: Overview, Types, How to Perform | Built In

Data Preprocessing for Deep Learning

Weka Tutorial 35: Creating Training; Validation and Test Sets (Data Preprocessing) Video Lecture | Weka Tutorial - Data and Analytics

Data Standardization: How to Do It and Why It Matters | Built In