What are the limitations of machine learning in disaster prediction?

What are the main limitations of using machine learning for disaster prediction?

Some limitations include data quality, model interpretability, and the unpredictability of natural events.

How does data quality affect the predictions?

Poor data quality can lead to inaccurate models, as machine learning relies heavily on the data it is trained on.

Are there specific disasters where machine learning is less effective?

Yes, for example, predicting earthquakes is particularly challenging due to their sudden and unpredictable nature.

What can be done to improve machine learning models for disaster prediction?

Improving data collection methods, enhancing model algorithms, and incorporating expert knowledge can help.