Posted On: Feb 22, 2018
ROC or receiver operating characteristics are the graphical representation of the diagnostic ability of a binary classifier system when the discrimination threshold is varied. It is a true positive rate v/s the false positive rate curve which is plotted for various threshold settings. It serves the purpose of analyzing the connection/trade-off between clinical sensitivity and specificity for a set of every possible cut-off.
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Tensors can be thought of as vectors and matrices of higher dimensions. They represent n-dimensional arrays of base data-type. Each element of a tensor is of the same data-type which is always known. ...