For a machine learning progress, how should you split data for training and evaluation?
Microsoft AI-900 Exam
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Question 2
For a machine learning progress, how should you split data for training and evaluation?
The Split Data module is particularly useful when you need to separate data into training and testing sets. Use the Split Rows option if you want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50. You can also randomize the selection of rows in each group, and use stratified sampling. Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data
