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Results tagged with training
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user 68230
Training is the part of machine learning whereby a model is "trained" on a define portion of a dataset to learn attributes and statistical features of the data. It's counterparts are called Testing and Validation. After training a model is tested and validated on another portion of the dataset.
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Accuracy noise patterns during model training
It is likely that in your training phase you are reaching local minima, then since you 'persist' at each epoch you get off of your point and then after the 800 epochs you reach it again. …
- 810
3
votes
Accepted
Using SMOTE for Synthetic Data generation to improve performance on unbalanced data
First of all, you have to split your data set into train/test splits before doing any over/under sampling. If you do any strategy based on your approaches, and then split data you will bias your model …
- 810