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  2. Average treatment effect - Wikipedia

    en.wikipedia.org/wiki/Average_treatment_effect

    The ATE, in this case, is the difference in expected values (means) of the treatment and control groups' length of unemployment. A positive ATE, in this example, would suggest that the job policy increased the length of unemployment. A negative ATE would suggest that the job policy decreased the length of unemployment.

  3. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    Complementarily, the false negative rate (FNR) is the proportion of positives which yield negative test outcomes with the test, i.e., the conditional probability of a negative test result given that the condition being looked for is present. In statistical hypothesis testing, this fraction is given the letter β.

  4. Positive and negative predictive values - Wikipedia

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

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

  5. Confusion matrix - Wikipedia

    en.wikipedia.org/wiki/Confusion_matrix

    The template for any binary confusion matrix uses the four kinds of results discussed above (true positives, false negatives, false positives, and true negatives) along with the positive and negative classifications.

  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. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    A type II error, or a false negative, is the erroneous failure in bringing about appropriate rejection of a false null hypothesis. [ 1 ] Type I errors can be thought of as errors of commission, in which the status quo is erroneously rejected in favour of new, misleading information.

  8. Positive and Negative Affect Schedule - Wikipedia

    en.wikipedia.org/wiki/Positive_and_Negative...

    The Positive and Negative Affect Schedule (PANAS) is a self-report questionnaire that consists of two 10-item scales to measure both positive and negative affect. Each item is rated on a 5-point verbal frequency scale of 1 (not at all) to 5 (very much) .

  9. Ate complex - Wikipedia

    en.wikipedia.org/wiki/Ate_complex

    Lewis acids form ate ions when the central atom reacts with a donor (2 e − X-type ligand), gaining one more bond and becoming a negative-charged anion. Lewis bases form onium ions when the central atom reacts with an acceptor ( 0 e − Z-type ligand), gaining one more bond and becoming a positive-charged cation .