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 Confidence Interval:
- Meaning around an estimate to indicate margin of error, combined with a probability that a value will fall in that range. The field of statistics offers specific mathematical formulas to calculate confidence cross-validation definition.
- 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 explain.
- Manual Chi-Square Test:
- Meaning like “pie” but beginning with a “k”) is a Greek letter, and chi-square is “a statistical method used to test whether the classification of data can be ascribed to chance or to some underlying law cross-validation what is.
- 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 meaning.
- Manual Computational Linguistics:
- Meaning language processing, NLP. A branch of computer science for parsing text of spoken languages (for example, English or Mandarin) to convert it to structured data that you can use to drive program logic cross-validation abbreviation.
