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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. Confusion matrix - Wikipedia

    en.wikipedia.org/wiki/Confusion_matrix

    For example, if there were 95 cancer samples and only 5 non-cancer samples in the data, a particular classifier might classify all the observations as having cancer. The overall accuracy would be 95%, but in more detail the classifier would have a 100% recognition rate ( sensitivity ) for the cancer class but a 0% recognition rate for the non ...

  8. Here's the Typical Net Worth for Your Income - AOL

    www.aol.com/heres-typical-net-worth-income...

    Data source: Federal Reserve. Calculations by author. You'll also notice a metric called "net worth multiple" at the bottom of the table. That's how much the median household is worth relative to ...

  9. Whoopi Goldberg Refuses to Say Trump’s Name on ‘The View ...

    www.aol.com/whoopi-goldberg-refuses-trump-name...

    “The View” hosts — Whoopi Goldberg, Sara Haines, Sunny Hostin, Ana Navarro, Joy Behar and Alyssa Farah Griffin — came together on the Nov. 6 episode of the ABC talk show to react to Donald ...