A data scientist has developed a model to predict ice cream sales using the expected temperature and expected number of hours of sun in the day. However, the expected temperature is dropping beneath the range of the input variable on which the model was trained.
Which of the following types of drift is present in the above scenario?
Feature drift occurs when the properties or distribution of the input features change. In this scenario, the expected temperature, an input feature for the model, is dropping beneath the range seen during training, indicating a shift in the feature distribution.
A data scientist has developed a model to predict ice cream sales using the expected temperature and expected number of hours of sun in the day. However, the expected temperature is dropping beneath the range of the input variable on which the model was trained. Which of the following types of drift is present in the above scenario? A. Label drift B. None of these C. Concept drift D. Prediction drift E. Feature drift
E. is the answer. Apologies
E. feature drift
Feature drift occurs when there is a change in the distribution or properties of the input features used by the model. In this case, the expected temperature, one of the input features, is dropping beneath the range of values seen during model training, indicating a shift in the feature distribution.
E is answer