January 2020

Evaluation of Prediction Models – Logarithmic Loss –

Introduction We would like to talk about logarithmic loss, or simply log loss this time.  Similarly to Gini coefficient, log loss is one of the popular indexes used for determination in model development using machine learning. Though the calculation method is rather complicated compared to Gini coefficient, it would be sufficient if you could understand the meaning of the values as the actual calculation will be done by the machine.  Let us begin with an explanation about what log loss is. What is “Log Loss”? Log loss is to quantify a gap between the predicted probability and its result using the cross entropy.  The cross entropy is defined based on […]