MAE
Mean Absolute Error
Mean Absolute Error
A metric used to measure the average magnitude of errors between predicted and actual values in a dataset, indicating how closely a model's predictions align with observed data.
A metric used to measure the average magnitude of errors between predicted and actual values in a dataset, indicating how closely a model's predictions align with observed data.
A metric for evaluating the performance of predictive models by calculating the average of the squares of the differences between observed and predicted values.
Similarity: 47.6%
The discrepancy between predicted outcomes by an AI model and the actual observed results in a dataset.
Similarity: 45.1%
A statistical measure used to quantify the difference between values predicted by a model and the values actually observed, providing a sense of how accurate the model's predictions are.
Similarity: 41.8%