例句與造句

1. Clearly, the mean is more stable and there is less overfit.
2. The basic LMT induction algorithm uses overfit the training data.
3. ID3 can overfit to the training data.
4. If the angles quantization range is small, classifiers that use the descriptor will overfit.
5. A model that has been overfit has poor predictive performance, as it overreacts to minor fluctuations in the training data.
6. It's difficult to find overfit in a sentence. 用overfit造句挺難的
7. Downstream of the saddle, the creek is an " overfit stream ", meaning that it is too wide for its valley.
8. If the misfit stream is too large for either its valley or meanders, it is known as an "'overfit stream " '.
9. You can overfit even when there are no measurement errors ( stochastic noise ) if the function you are trying to learn is too complex for your learning model.
10. The approach to finding a function that does not overfit is at odds with the goal of finding a function that is sufficiently complex to capture the particular characteristics of the data.
11. Analysis with a large number of variables generally requires a large amount of memory and computation power, also it may cause a overfit to training samples and generalize poorly to new samples.
12. Generally, a learning algorithm is said to overfit relative to a simpler one if it is more accurate in fitting known data ( hindsight ) but less accurate in predicting new data ( foresight ).
13. Interestingly, it is also possible to invert concavities  just as in the figure the worse solution can be reflected to become a better solution; concavities can be reflected in any line segment, but this more extreme form of fusion is much more likely to overfit the data.