79651151

Date: 2025-06-03 11:37:36
Score: 1
Natty:
Report link

The MSE value is: 0.0004. That means the model predicts very well.

This isn't necessarily true. Typically, you divide the dataset into training and testing subsets, and evaluate the model's accuracy on the test set to get a more reliable measure of performance.

The problem now is that when predicting a combination that it didn't learn from the data set

Statistical models like neural networks aren't designed to predict on data points that differ from the training data distribution .

To make this system work, you'd need to transform the inputs into meaningful features. I would recommend you read more about how machine learning models work before proceeding.

Reasons:
  • Long answer (-0.5):
  • No code block (0.5):
  • Low reputation (1):
Posted by: Gowtham Valluri