If science has not become a cult why do people get triggered if you don't believe the standard model?

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[–]Dragonerne 1 insightful - 1 fun1 insightful - 0 fun2 insightful - 1 fun -  (2 children)

What it is not good at is making predictions outside of the SM paradigm

It generalizes poorly. A typical sign of overfitting to the known data set.

And no, you are very wrong. When creating models, accuracy of the training data set is NOT the goal. The goal is predictability of data sets outside of the training set.

[–]weavilsatemyface 1 insightful - 1 fun1 insightful - 0 fun2 insightful - 1 fun -  (1 child)

When creating models, accuracy of the training data set is NOT the goal.

You're writing about machine learning, not science. There is no "training set" in the Standard Model, it was designed by humans (not a neural network) decades ago.

[–]Dragonerne 1 insightful - 1 fun1 insightful - 0 fun2 insightful - 1 fun -  (0 children)

A model created by a human or a learning algorithm has to adhere to the same principles. In the end, you end up with a model, how you ended up with this model is irrelevant. The importance is whether this model describes the data correctly. To describe the data correctly, you have to generalize well from the training data to the test data.
You can make a model that gives 100% accuracy but it wont represent reality