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- ...LE is unbiased, we may equivalently say that it has minimum [[mean squared error]] in the limit. * The [[mean squared error]] is a measure of how 'good' an estimator of a distributional parameter is5 KB (832 words) - 04:49, 13 September 2006
- <li>Two approaches to error in trees</li> <li>Handling ambiguity and error</li>20 KB (3,034 words) - 10:55, 6 January 2006
- **:<pre>errorsRDD = inputRDD.filter(lambda x: "error" in x)</pre> * Write a <code>reduce()</code> function that computes the sum of all squared integers:47 KB (6,681 words) - 18:29, 27 November 2019
- * Differentiatable functions that measure differences/error between true and predicted values ** [[:wikipedia:Mean squared error|Mean squared error]] (MSE)5 KB (580 words) - 01:34, 30 April 2018