Definition of BiasVariance. Meaning of BiasVariance. Synonyms of BiasVariance

- In statistics and machine learning, the bias–variance tradeoff describes the relationship between a model's complexity, the accuracy of its predictions...
- the sample variance does not generally minimize mean squared error between sample variance and po****tion variance. Correcting for bias often makes this...
- of transformations); for example, the sample variance is a biased estimator for the po****tion variance. These are all illustrated below. An unbiased...
- the bias and the variance of the learning algorithm. Generally, there is a tradeoff between bias and variance. A learning algorithm with low bias must...
- results in a lower bias error. Meanwhile, to accommodate less ****umptions, the model tends to be more complex. Based on bias-variance tradeoff, a higher...
- incorporates both the variance of the estimator (how widely spread the estimates are from one data sample to another) and its bias (how far off the average...
- to be biased, although it can cause ordinary least squares estimates of the variance (and, thus, standard errors) of the coefficients to be biased, possibly...
- parameter estimation problems in exchange for a tolerable amount of bias (see bias–variance tradeoff). The theory was first introduced by ****l and Kennard...
- effects can be explained within the framework of bias and variance. According to the bias-variance tradeoff, errors in prediction are due to two sources...
- split into random noise, approximation bias, and variance in the estimate of the regression function. The bias–variance tradeoff is often used to overcome...