Reducing bias and variance Instructions:Number of questions: 10Time limit: 5 minutesMust be finished in one sitting. You cannot save and finish later.Questions displayed per page: 1Will allow you to go back and change your answers.Will not let you finish with any questions unattempted. 1 / 10 High variance models will be overly tuned to the Binary coded data Training data Fixed-point data Complex data 2 / 10 ____ is the error from under-fitting your data. Bias Mean Median Variance 3 / 10 If the standard deviation of a data set is 4, what is the variance? 8 4 2 16 4 / 10 Variance does not actually predicting the _____ variable. Bypassed Updated Target Trained 5 / 10 When building your model is to find a model that _____ both bias and variance. Overelap Balances Bisect Merge 6 / 10 Bias is large if the learning method produces classifiers that are consistently ______ True Fact-based Wrong Close 7 / 10 A high bias model is one that is too ____ None of the above Sophisticated Simplistic Complex 8 / 10 When our assumption is close to the true relationship, the bias is ____ Increase More Gone Less 9 / 10 It is the error from over-fitting your data, resulting in a model that is too complicated. Bias Variance Precision Frequency 10 / 10 What is the population variance of the data set?86 49 63 90 82 98 36 395.7 21.4 533.67 72 Your score is 0% Restart quiz
