Bias and Variance

2 pieces from the Pink Series
Acrylic on canvas
2 × 120 × 120 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 refers to the property of a set of predictive models whereby models with lower bias in parameter estimation have higher variance of parameter estimates across samples – and vice versa.