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  2. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.

  3. Penalized present value - Wikipedia

    en.wikipedia.org/wiki/Penalized_present_value

    PPV is best understood by comparison to two other approaches where a penalty is applied for risk: The risk-adjusted rate of return applies a risk-penalty by increasing the discount rate when calculating the Net Present Value (NPV); The certainty equivalent approach does this by adjusting the cash-flow numerators of the NPV formula.

  4. Net present value - Wikipedia

    en.wikipedia.org/wiki/Net_present_value

    A positive net present value indicates that the projected earnings generated by a project or investment (in present dollars) exceeds the anticipated costs (also in present dollars). This concept is the basis for the Net Present Value Rule, which dictates that the only investments that should be made are those with positive NPVs.

  5. What’s the Profitability Index (PI) and How Is It Calculated?

    www.aol.com/profitability-index-pi-calculated...

    As an example, if you’re considering a project that requires an initial investment of $100,000 and is expected to generate future cash flows with a present value of $120,000, the PI would be 1.2 ...

  6. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).

  7. Likelihood ratios in diagnostic testing - Wikipedia

    en.wikipedia.org/wiki/Likelihood_ratios_in...

    This formula can be calculated algebraically by combining the steps in the preceding description. In fact, post-test probability , as estimated from the likelihood ratio and pre-test probability , is generally more accurate than if estimated from the positive predictive value of the test, if the tested individual has a different pre-test ...

  8. Ewers' 5 TD passes lead No. 5 Texas in 49-17 rout of ... - AOL

    www.aol.com/ewers-5-td-passes-lead-204304162.html

    Quinn Ewers passed for 333 yards and five touchdowns and No. 5 Texas rolled over struggling Florida 49-17 on Saturday, two days after third-year Gators coach Billy Napier was given a public ...

  9. Evaluation of binary classifiers - Wikipedia

    en.wikipedia.org/wiki/Evaluation_of_binary...

    In addition to sensitivity and specificity, the performance of a binary classification test can be measured with positive predictive value (PPV), also known as precision, and negative predictive value (NPV). The positive prediction value answers the question "If the test result is positive, how well does that predict an actual presence of ...