Splitting Datasets
Explore how to effectively split your dataset into training and evaluation sets in TensorFlow-based machine learning projects. Understand the importance of shuffling data to remove systematic trends and how to balance data proportions for accurate training and reliable evaluation outcomes.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Learn about training and evaluation sets
- Split the project’s final dataset into training and evaluation sets
A. Training and evaluation
There are two main components in creating a machine learning model: training and evaluation. Training is the foundation of machine learning, but evaluation is just as important. Model evaluation gives us a concrete idea of just how good the ...