Question 25

Explanation

The proposition A,C is correct because identifying additional data and including it in the dataset can improve the accuracy and reliability of the model. This is because more data can provide a more comprehensive understanding of the problem and help to identify patterns and relationships that were not previously apparent. Additionally, including more data can help to reduce the risk of overfitting, which occurs when a model is too complex and fits the training data too closely, resulting in poor performance on new data. For the question in Results from an Einstein Discovery story are reviewed with a client. They agree with the findings but noticed that a field used in the story has incomplete data that was not originally noticed. The client is now concerned the model may not be good enough to deploy. The two next steps a consultant should consider to improve the outcome are: 1. Identify and collect additional data to fill in the gaps in the incomplete field. This can help to improve the accuracy and reliability of the model by providing a more complete and comprehensive dataset. 2. Review and update the model to account for the incomplete data. This may involve adjusting the model parameters or using different algorithms to account for the missing data. It may also involve retraining the model with the updated dataset to ensure that it is still accurate and reliable.