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  2. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    A precision-recall curve plots precision as a function of recall; usually precision will decrease as the recall increases. Alternatively, values for one measure can be compared for a fixed level at the other measure (e.g. precision at a recall level of 0.75) or both are combined into a single measure.

  3. F-score - Wikipedia

    en.wikipedia.org/wiki/F-score

    Precision and recall. In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated from the precision and recall of the test, where the precision is the number of true positive results divided by the number of all samples predicted to be positive, including those not identified correctly ...

  4. Evaluation of binary classifiers - Wikipedia

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

    For example, in medicine sensitivity and specificity are often used, while in computer science precision and recall are preferred. An important distinction is between metrics that are independent of the prevalence or skew (how often each class occurs in the population), and metrics that depend on the prevalence – both types are useful, but ...

  5. Evaluation measures (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Evaluation_measures...

    By computing a precision and recall at every position in the ranked sequence of documents, one can plot a precision-recall curve, plotting precision () as a function of recall . Average precision computes the average value of p ( r ) {\displaystyle p(r)} over the interval from r = 0 {\displaystyle r=0} to r = 1 {\displaystyle r=1} : [ 7 ]

  6. Accuracy paradox - Wikipedia

    en.wikipedia.org/wiki/Accuracy_paradox

    The precision of ⁠ 10 / 10 + 990 ⁠ = 1% reveals its poor performance. As the classes are so unbalanced, a better metric is the F1 score = ⁠ 2 × 0.01 × 1 / 0.01 + 1 ⁠ ≈ 2% (the recall being ⁠ 10 + 0 / 10 ⁠ = 1).

  7. Wealth strategies that used to be reserved for billionaires ...

    www.aol.com/wealth-strategies-used-reserved...

    To stay ahead of the curve, Preqin is developing more sophisticated products. Last year, the UK firm launched an Actionability Signal that uses machine learning to identify private companies ...

  8. Harmonic mean - Wikipedia

    en.wikipedia.org/wiki/Harmonic_mean

    In computer science, specifically information retrieval and machine learning, the harmonic mean of the precision (true positives per predicted positive) and the recall (true positives per real positive) is often used as an aggregated performance score for the evaluation of algorithms and systems: the F-score (or F-measure).

  9. Mortgage and refinance rates for Dec. 20, 2024: Average ... - AOL

    www.aol.com/finance/mortgage-and-refinance-rates...

    Daily average mortgage rates on popular terms are rising as of Friday, December 20, 2024, with sharp moves higher for 30-year terms edging closer to 6.90% — an average 20 basis points higher ...