If the training set is such that every combination of attribute valuesis present in the training data and each combination is either labeled positive or negative, which of the following classification techniques can be used to learn a model with perfect classification on the training set? Briefly explain your answer. a. Decision Treesb. Logistic Regressionc. NaiveBayesd. multi-layer ANNe. perceptron

Two technicians are discussing the common u-joint. technician a says its input and output speeds should be equal. technician b says that it normally has two yokes. which technician is correct?

Researchers measured the data speeds for a particular smartphone carrier at 50 airports. the highest speed measured was 78.1 mbps. the complete list of 50 data speeds has a mean of x overbarequals16.11 mbps and a standard deviation of sequals18.65 mbps. a. what is the difference between carrier's highest data speed and the mean of all 50 data speeds? b. how many standard deviations is that [the difference found in part (a)]? c. convert the carrier's highest data speed to a z score. d. if we consider data speeds that convert to z scores between minus2 and 2 to be neither significantly low nor significantly high, is the carrier's highest data speed significant? a. the difference is nothing mbps.

Jennifer has to set up a network in a factory with an environment that has a lot of electrical interference. which cable would she prefer to use? jennifer would prefer to use because its metal sheath reduces interference.