Please upload a CSV file with 10000 rows and following features and data types:
{'RowNumber':'int64','CustomerId':'int64','Surname':'string', 'CreditScore':'int64', 'Geography':'string', 'Gender':'string', 'Age':'int64', 'Tenure':'int64'}
{'Balance':'float64', 'NumOfProducts':'int64', 'HasCrCard':'int64', 'IsActiveMember':'int64', 'EstimatedSalary':'float64','Exited':'int64'}
No CSV handy? download the sample file or click Use sample file.
Blue features are pushing the prediction of model towards '0' (not churned). Red features are pushing the prediction towards 1 (churned)
The length of bar (blue or red color) for a feature shows how strongly it affects the prediction