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An actual measurement is going to be more accurate than an estimate.
Predicted ratios may differ from actual ratios due to the presence of confounding variables, measurement error, sampling variability, or the limitations of the statistical model used for prediction. These factors can introduce uncertainty and bias into the predictions, leading to discrepancies between the predicted and actual ratios.
The actual yield of a reaction product is always less than the yield from the chemical equation. This is because of error.
A planned end date - is an predicted estimation of when something is to cease. An actual end date - is the confirmed end.
The derivative of binary cross entropy is calculated by taking the difference between the predicted probability and the actual label. This difference is then multiplied by the input data to get the derivative.
In statistics, a forecast error is the difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest.
Friction is the main force that causes a difference between the ideal and actual mechanical advantage. Other factors like misalignment of the machine parts, wear and tear, and measurement inaccuracies can also contribute to this difference.
An error is the difference between a predicted value and the actual, observed, value. The percent error tells the user how close or how far off one was from the actual value in the form of a percentage.
The difference between actual quantity and standard quantity is called the material quantity variance.
Mendeleev predicted the atomic mass of germanium to be approximately 68 g/mol. The actual atomic mass of germanium is about 72.63 g/mol. This results in a difference of roughly 4.63 g/mol between Mendeleev's prediction and the actual value.
There is no difference between the jack used in the actual sense and in the lab.
In data analysis and visualization, an MSC (Mean Squared Error) is a measure of the average squared difference between predicted values and actual values. An MSB (Mean Squared Bias) is a measure of the average squared difference between the predicted values and the true values. A graph is a visual representation of data that can help to identify patterns and trends.