👉 Fittingness is a statistical measure used in machine learning and statistics to evaluate how well an algorithm or model fits its training data. It is commonly used for models that are trained on large datasets, such as neural networks or decision trees. The goal of fittingness is to find the minimum amount of misclassification error between the predicted outputs and the actual output values from the training dataset. This can be achieved by selecting the parameters of the model that minimize the fittingness score. The fittingness score is
