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In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or r φ) is a measure of association for two binary variables.. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.
The former MCC headquarters building in Austin, Texas. Microelectronics and Computer Technology Corporation, originally the Microelectronics and Computer Consortium and widely seen by the acronym MCC, was the first, and at one time one of the largest, computer industry research and development consortia in the United States. MCC ceased ...
Square D is an American manufacturer of electrical equipment headquartered in Andover, Massachusetts. Square D is a flagship brand of Schneider Electric , which acquired the company in 1991. The company was listed on the New York Stock Exchange for 55 years prior to its acquisition without reporting financial loss in any calendar quarter ...
For example, if there were 95 cancer samples and only 5 non-cancer samples in the data, a particular classifier might classify all the observations as having cancer. The overall accuracy would be 95%, but in more detail the classifier would have a 100% recognition rate ( sensitivity ) for the cancer class but a 0% recognition rate for the non ...
The MCC won the bidding for a 10-year lease up to October 2012 and started the commercial production of the SCGP. [3] The agreement was further extended for a period of 5 years up to October 2017. [4] The agreement was again extended for another period of 5 years up to October 2022.
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 ...