Accuracy Measures
Calculates different accuracy measures, most prominently RMSE.
rmserr(x, y, summary = FALSE)
x, y |
two vectors of real numbers |
summary |
logical; should a summary be printed to the screen? |
Calculates six different measures of accuracy for two given vectors or sequences of real numbers:
| MAE | Mean Absolute Error |
| MSE | Mean Squared Error |
| RMSE | Root Mean Squared Error |
| MAPE | Mean Absolute Percentage Error |
| LMSE | Normalized Mean Squared Error |
| rSTD | relative Standard Deviation |
Returns a list with different accuracy measures.
Often used in Data Mining for predicting the accuracy of predictions.
Gentle, J. E. (2009). Computational Statistics, section 10.3. Springer Science+Business Media LCC, New York.
x <- rep(1, 10) y <- rnorm(10, 1, 0.1) rmserr(x, y, summary = TRUE)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.