Explain CROSS-VALIDATION: When using data with an algorithm, “the name given to a set of techniques that divide up data into training sets and test sets. The training set is given to the algorithm, along with the correct answers... and becomes the set used to make predictions. The algorithm is then asked to make predictions for each item in the test set. The answers it gives are compared to the correct answers, and an overall score for how well the algorithm did is calculated.”[segaran] See also machine learning.
Different definitions in web development like cross-validation in Dictionary C.
- Manual Classification:
- Meaning of which of two or more categories an item falls under; a classic machine learning task. Deciding whether an email message is spam or not classifies it among two categories, and analysis of data cross-validation definition.
- Manual Continuous Variable:
- Meaning value can be any of an infinite number of values, typically within a particular range. For example, if you can express age or size with a decimal number, then they are continuous variables. In a cross-validation explain.
- Manual Covariance:
- Meaning relationship between two variables whose values are observed at the same time; specifically, the average value of the two variables diminished by the product of their average values.”[websters cross-validation what is.
- Manual Clustering:
- Meaning algorithm for dividing up data instances into groups—not a predetermined set of groups, which would make this classification, but groups identified by the execution of the algorithm because of cross-validation meaning.
- Manual Coefficient:
- Meaning algebraic symbol prefixed as a multiplier to a variable or unknown quantity (Ex.: x in x(y + z), 6 in 6ab”[websters] When graphing an equation such as y = 3x + 4, the coefficient of x determines the cross-validation abbreviation.
