📄 Mean Squared Error¶
Metric to calculate the mean squared error (MSE) between the prediction and the reference values.
Assume both the prediction and reference are floats.
Support only a single reference per prediction .
metrics.mean_squared_error
Explanation about MeanSquaredError¶
Computes mean squared error between predictions and references.
Range: [0, ∞) (lower is better) Measures average squared differences between predicted and true values.
Read more about catalog usage here.