Model fitting for classification 1 deterministic supervised version problem statement

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=0F5ZTHwWqCU

This video poses the problem of fitting some parameters \\theta in a model f(x,\\theta) to fit pairs of training data samples (x_i,y_i) with y_i in {0,1}, that is, binary classification. The problem can be deterministic (dog/not-dog) or random (probability of having a certain genetic mutation when some marker appears in a blood test). This video discusses the deterministic problem, presenting the issues that arise when perfect classification is possible and the cost functions for imperfect classification problems where false positives or false negatives are inevitable. • The probabilistic version of the statement of this type of problems is addressed in the forthcoming video • Model fitting for classification (2):... . • ________________ • PDF/code/notes at: http://personales.upv.es/asala/YT/V/c... • #industrialengineering #identification #machinelearning • _________________ • Antonio Sala • Full collection of videos at: http://personales.upv.es/asala/YT/ind...

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