A confusion matrix is a table used to evaluate the performance of a classification model. It can be used to measure the accuracy of a model in predicting the correct class for each data point. To ...

Example of a Confusion Matrix. After defining necessary terms like precision, recall, sensitivity, ... For example, Scikit-learn for Python has a function generates a confusion matrix. Related Topics: ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

It's called 'confusion matrix' because going by the definitions it seems easy, but as we move forward to derive more valuable parameters, confusion arises regarding which parameter is best suited at a ...