Mean Squared Log Error
msle computes the average of squared log error between two numeric vectors.
msle(actual, predicted)
actual |
The ground truth non-negative vector |
predicted |
The predicted non-negative vector, where each element in the vector
is a prediction for the corresponding element in |
msle adds one to both actual and predicted before taking
the natural logarithm to avoid taking the natural log of zero. As a result,
the function can be used if actual or predicted have zero-valued
elements. But this function is not appropriate if either are negative valued.
actual <- c(1.1, 1.9, 3.0, 4.4, 5.0, 5.6) predicted <- c(0.9, 1.8, 2.5, 4.5, 5.0, 6.2) msle(actual, predicted)
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