Examlex
Which of the following is not correct?
SSE
Sum of Squared Errors; a measure used in statistics to quantify the variation or deviation of predicted values from the actual observed values.
SST
SST stands for Sum of Squares Total, a term used in statistics to measure the total variability within a dataset.
MSE
Mean Squared Error, a measure of the average of the squares of the errors—that is, the average squared difference between the estimated values and the actual value.
Least Squares Estimate
A statistical technique that determines the line of best fit for a model by minimizing the sum of the squares of the vertical differences (residuals) between the observed values and the values predicted by the model.
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