Bias.md (418B)
1 # Bias 2 3 ML D5 4 5 ### Stats 6 7 **Definition:** Bias is a generalization error caused by incorrect assumptions such as assuming data is linear when it is not. 8 9 High bias models are likely to underfit training data. 10 11 See also [Variance](Variance.md) 12 13 ### ANNs 14 15 **Definition:** Biases in ANNs are constants used as additional inputs for each perceptron (neuron). This can be thought of like y-intercepts for linear equations.