Three classification models were trained on a dataset of pre…
Three classification models were trained on a dataset of previous medical images with the goal of predicting cancer cells. The first model (M1), which is complex, has a training error of 0.0012. The second model (M2), which is simpler, has a training error of 0.0021. The third model (M3), which is the simplest, has a training error of 0.1108. Which model would be the best one to use for classifying the medical images of future patients?
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