Bias vs variance – Why being too smart is dumb. Machine learning #SoME1

Bias versus variance trade-off, under fitting vs over fitting trade-off. Showing why there is balance between being underfit when using a machine learning model to perform better on a test set, instead only performing good on the training set. There is a balance between model complexity which is related to bias and variance. PATREON: NFT’s: #SoMe1 #machine-learning