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Data Analysis > Confusion Matrix
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All-Digital Integrated Video Analysis System (ADIVA)
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Confusion Matrix
Description :
A confusion matrix is an array showing relationships between true and predicted classes. Typically the variables are an observation and a prediction. Each row in the confusion matrix represents an observed class, each column represents a predicted class, and each cell counts the number of samples in the intersection of those two classes. Probabilities can be derived experimentally or using expert judgments.
Advantages :
1) A confusion matrix is a way to identify critical situations. 2) It can offer a new perspective on the performance of various classifiers
Disadvantages :
1) It takes some practice to understand the confusion matrix. 2) Uncertainty is associated with the application of this technique itself and derived probabilities are disputable.
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References :
1) Kirwan, B. & Ainsworth, L. K. A Guide to Task Analysis. London: Taylor and Francis, 1992. A textbook of various task analysis techniques and their use in the systems engineering process. 2) Potash, L. M., Stewart, M., Dietz, P. E., Lewis, D. M. and Dougherty, E. M. (1981), “Experience in Integrating the Operator Contributions in the PRA of Actual Operating Plants” in Proceedings of the ANS/ENS Topical Meeting on Probabilistic Risk Assessment, Port Chester, N. Y., American Nuclear Society: La Grange Park, Ill. 3) VOLPE National Transportation Systems Center (1998). Evaluation of Retro reflective Markings to Increase Rail Car Conspicuity. Cambridge, MA 02142-1093.
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