lime - Algoritma Technical Blog

lime

Arga Adyatama

26 minute read

One of many things to consider when we want to choose a machine learning model is the interpretability: can we analyze what variables or certain characteristics that contribute toward certain value of target variables? Some models can be easily interpreted, such as the linear or logistic regression model and decision trees, but interpreting more complex model such as random forest and neural network can be challenging. This sometimes drive the data scientist to choose more interpretable model…

Arga Adyatama

26 minute read

One of many things to consider when we want to choose a machine learning model is the interpretability: can we analyze what variables or certain values that contribute toward particular class or target? Some models can be easily interpreted, such as the linear or logistic regression model and decision trees, but interpreting more complex model such as random forest and neural network can be challenging. This sometimes drive the data scientist to choose more interpretable model since they need to…