# Data Science Dashboard

We compare the performances between all models to cross-check for unexpected behavior ( as an overly significant difference between recall and precision).

![performances_clv.png](CwBeulkFhUZz)

Several charts to compare actual CLV with the prediction to identify the effects of time trend and low transaction customers.

![validation_clv.png](cwkswvHGYsur)

Compare the predicted distributions between each model. Some models can have very different shapes of distributions for the value and the shares of customers.

![distribution_clv.png](h3E0ovEVVyRQ)

Compare the confusion matrix to evaluate the errors in the predictions of the CLV groups.

![confusion_matrix_clv.png](zy2KxGpuLJsM)
