Train, Test, & Validation Sets explained
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YouTubedeeplizard
Train, Test, & Validation Sets explained
In this video, we explain the concept of the different data sets used for training and testing an artificial neural network, including the training set, testing set, and validation set. We also show how to create and specify these data sets in code with Keras. 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00 Welcome to DEEPLIZARD - Go to deeplizard.com ...
210.8K viewsNov 22, 2017
Training, validation, and test data sets Data Splitting Methods
Model Validation and Testing: A Step-by-Step Guide | Built In
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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
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
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