Bias and Variance

2 Pieces from the Pink series

Acrylic on Canvas

2 x 120 x 120 cm / 47.24 x 47.24 cm

2013

Some less-is-more effects can be explained within the framework of bias and variance. In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples and vice versa.