Dropout increases the model’s training error but decreases the test error, preventing overfitting.Group of answer choicesTrueFalse

Dropout increases the model’s training error but decreases the test error, preventing overfitting.Group of answer choicesTrueFalse

What happens to the accuracy of data as the percent error decreases?a.It remains the same.b.It increases then decreases.c.It decreases.d.It increases.

If the resultant(net) force increases, the ___________________Group of answer choicesacceleration increasesproportionalmass increasesacceleration decreases

Overfitting occurs when a model performs well on training data but poorly on unseen data.Group of answer choicesTrueFalse

The Dissolve tool always increases the density of polygons in the result layer.Group of answer choicesTrueFalse