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  2. Missing data - Wikipedia

    en.wikipedia.org/wiki/Missing_data

    Generally speaking, there are three main approaches to handle missing data: (1) Imputation—where values are filled in the place of missing data, (2) omission—where samples with invalid data are discarded from further analysis and (3) analysis—by directly applying methods unaffected by the missing values. One systematic review addressing ...

  3. Listwise deletion - Wikipedia

    en.wikipedia.org/wiki/Listwise_deletion

    Listwise deletion affects statistical power of the tests conducted. [2] [3] Statistical power relies in part on high sample size.Because listwise deletion excludes data with missing values, it reduces the sample which is being statistically analysed.

  4. NaN - Wikipedia

    en.wikipedia.org/wiki/NaN

    A number of systems have the concept of a "canonical NaN", where one specific NaN value is chosen to be the only possible qNaN generated by floating-point operations not having a NaN input. The value is usually chosen to be a quiet NaN with an all-zero payload and an arbitrarily-defined sign bit.

  5. Wikipedia, the free encyclopedia

    en.wikipedia.org/wiki/Main_Page

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  6. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    Feature standardization makes the values of each feature in the data have zero-mean (when subtracting the mean in the numerator) and unit-variance. This method is widely used for normalization in many machine learning algorithms (e.g., support vector machines , logistic regression , and artificial neural networks ).

  7. False discovery rate - Wikipedia

    en.wikipedia.org/wiki/False_discovery_rate

    The p-values of the rejected null hypothesis (i.e. declared discoveries) are colored in red. Note that there are rejected p-values which are above the rejection line (in blue) since all null hypothesis of p-values which are ranked before the p-value of the last intersection are rejected. The approximations MFDR = 0.02625 and AFDR = 0.00730, here.

  8. Diversity, equity, and inclusion - Wikipedia

    en.wikipedia.org/wiki/Diversity,_equity,_and...

    Diversity themes gained momentum in the mid-1980s. At a time when President Ronald Reagan discussed dismantling equality and affirmative action laws in the 1980s, equality and affirmative action professionals employed by American firms along with equality consultants, engaged in establishing the argument that a diverse workforce should be seen as a competitive advantage rather than just as a ...

  9. Null (SQL) - Wikipedia

    en.wikipedia.org/wiki/Null_(SQL)

    E. F. Codd mentioned nulls as a method of representing missing data in the relational model in a 1975 paper in the FDT Bulletin of ACM-SIGMOD.Codd's paper that is most commonly cited with the semantics of Null (as adopted in SQL) is his 1979 paper in the ACM Transactions on Database Systems, in which he also introduced his Relational Model/Tasmania, although much of the other proposals from ...