Copyright
©The Author(s) 2022.
Artif Intell Cancer. Jul 28, 2022; 3(3): 42-53
Published online Jul 28, 2022. doi: 10.35713/aic.v3.i3.42
Published online Jul 28, 2022. doi: 10.35713/aic.v3.i3.42
Figure 2 Process of training a machine learning model.
Following the initial training dataset, the model is tested on unseen data. The predicted output is compared to desired output, and changes are incorporated into the model till the predicted output is sufficiently close to desired output.
- Citation: Ramachandran A, Bhalla D, Rangarajan K, Pramanik R, Banerjee S, Arora C. Building and evaluating an artificial intelligence algorithm: A practical guide for practicing oncologists. Artif Intell Cancer 2022; 3(3): 42-53
- URL: https://www.wjgnet.com/2644-3228/full/v3/i3/42.htm
- DOI: https://dx.doi.org/10.35713/aic.v3.i3.42