Accuracy

(noun)

the degree of closeness of measurements of a quantity to that quantity's actual (true) value

Related Terms

Examples of Accuracy in the following topics:

  • Chance Error

    • This target shows an example of low accuracy (points are not close to center target) but high precision (points are close together).
    • This target shows an example of high accuracy (points are all close to center target) but low precision (points are not close together).

  • Bias

    • Accuracy (or validity) is a measure of the systematic error.
    • Accuracy is a measure of how well an experiment measures what it was trying to measure.
    • This target shows an example of high accuracy (points are all close to center target) but low precision (points are not close together).
    • This target shows an example of low accuracy (points are not close to center target) but high precision (points are close together).

  • Variation in Data

    • However, if two or more of you are taking the same data and get very different results, it is time for you and the others to reevaluate your data-taking methods and your accuracy.

  • Introduction to Model selection

    • Sometimes including variables that are not evidently important can actually reduce the accuracy of predictions.

  • Estimating the Accuracy of an Average

    • Taken further, we can calculate the chance error of the sample mean to estimate its accuracy in relation to the overall population mean.
    • Evaluate the accuracy of an average by finding the standard error of the mean.

  • Normal Approximation to the Binomial

    • The demonstration in the next section allows you to explore its accuracy with different parameters.
    • The accuracy of the approximation depends on the values of N and π.

  • Standard Error of the Estimate

    • The standard error of the estimate is a measure of the accuracy of predictions.

  • The normal approximation breaks down on small intervals

    • TIP: Improving the accuracy of the normal approximation to the binomial distribution

  • Stepwise Regression

    • ., 70%) and use the remaining 30% of the dataset to assess the accuracy of the model.
    • Accuracy is often measured as the standard error between the predicted value and the actual value in the hold-out sample.

  • Base Rates

    • Although Disease X has only mild symptoms, you are concerned and ask your doctor about the accuracy of the test.
    • However, the situation is not that simple.For one thing, more information about the accuracy of the test is needed because there are two kinds of errors the test can make: misses and false positives.