Logförlusten
Logförlusten is a Swedish term that translates to "log loss" in English. It is a performance metric used in machine learning, particularly for classification tasks. Log loss quantifies the uncertainty of a prediction by penalizing incorrect predictions. The lower the log loss, the better the model's predictions are. It measures the accuracy of a classifier where the prediction is a probability value between 0 and 1.
The formula for log loss involves the true label (0 or 1) and the predicted probability for
In practice, log loss is often used to evaluate the performance of models like logistic regression, support