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Trade-off 1

Variance VS Bias, Bias&Variance Trade-off

TestError The error rate of the model on the test dataset. TestError=Var+Bias+e Variance It quantifies the sensitivity of the model to the training data. In other words, if we were to replace our training dataset with another one, how much would the training error rate change(how much the model's parameters would change)? A low variance means that our model is not sensitive to the training data ..

Machine Learning 2023.10.31
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3D Rotation Matrix, batch size, global variable, Step Function, selectall, Regular Expression, forward propagation, axis, yield from, classmethod, randn, Filter, kafka, abstractmethod, nvidia-smi, zeros, textdistance, docker-compose, Sigmoid function, d3js,

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