Question

choose the option below that describes a potential negative effect of using a poor selection of data to train the machine learning model. the model can only make a few decisions before needing to be trained again. the model will not be able to run because its training is in complete. the model will make decisions based off training that was incomplete or incorrect. the model will actually be totally fine, since it was able to learn from the data and fill in any gaps that may have been present. that is the beauty of working with artificial intelligence systems.

Explanation:

Poor - quality training data can lead to incomplete or incorrect learning. A machine - learning model relies on accurate and comprehensive training data to make proper decisions. If the data is of poor selection, the model will base its decisions on this sub - standard training.

Answer:

The model will make decisions based off training that was incomplete or incorrect.