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5 results for “prediction”

Formulae (5)

MAE = \frac{1}{n}\sum_{i=1}^{n}|y_i - \hat{y}_i|

Average of absolute differences between predictions and actual values.

Accuracy = \frac{TP + TN}{TP + TN + FP + FN}

Fraction of predictions that are correct.

Precision = \frac{TP}{TP + FP}

Of all positive predictions, the fraction that were correct.

\mathbf{w} := \mathbf{w} + \eta\,(y-\hat{y})\,\mathbf{x}

The original learning rule that nudges weights when a prediction is wrong.

W\% = \frac{PF^2}{PF^2 + PA^2}

Predicts a team's win rate from points scored and allowed.