Examples of using Predicted value in English and their translations into Chinese
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This predicted value is.
In mathematical notion, if is the predicted value.
Therefore all of the predicted values are closer together as well.
In mathematical notion, if is the predicted value.
In other words, the predicted value is close to the actual value. .
Where yk is themeasured value and$\hat y$ is the predicted value.
Low bias occurs when the model's predicted values are near to actual values. .
For each predicted value, we compute its distance to the true value and square the result.
Y_hat is the predicted value.
Predicted values further away are also affected by the training data- proportional to their distance.
Precision, which is alternatively called a positive predicted value, is based on prediction.
It also prints the predicted value based on the regression line through the original scatter plot.
For a given pixel,its true value is expressed as z*, and its predicted value is expressed as z^.
Stage 4(very severe): FEV1<30% predicted value or FEV1<50% predicted value(for severe chronic respiratory failure).
The performance of a low-thrust-level burn of theLE-5B-2 engine was close to the pre-flight predicted value.
A threshold isused to determine when the rate drops below the predicted value because the time between events will rise to a high level.
Calculate each child's prediction accuracy bysubtracting the actual number of items recalled from the predicted value.
So in this area,the actual values have been higher than the predicted values- our model has a downward bias.
The predicted values arise from the calculated operating line for the absorber(see reference 2 for an in-depth discussion of the operating line).
Excel creates a new worksheet that contains both a table of the historical and predicted values and a chart that expresses this data.
It compares known and predicted values and labels the difference between the expected and predicted values as the error/residual.
Corresponding to each point on the scatter plot,there is an error of prediction calculated as the actual value minus the predicted value.
We start by comparing predicted values to actual values of the time series, which will assist us understand the quality of our forecasts.
Forward propagation is a process of providing input values into the neural network andobtaining an output that we call predicted value.
Note that discriminative regressionmodels often only output a single predicted value, instead of a distribution over all the real values. .
Forward propagation is a process of providing input values into the neural network andobtaining an output that we call predicted value.
The calculated values are shown here as triangles, while the predicted values, shown as the solid line, arise from computing the operating and equilibrium lines.
Note that discriminative regressionmodels often only output a single predicted value, instead of a distribution over all the real values. .
They use this as a grounding to train models predicting value and action-value, and then use these estimated values to determine actions.