(Solved) : Matlab Create 5 Random Partitions Data Splitting Classes 60 Training 40 Testing Using Trai Q34229919 . . . .

June 27, 2024| admin| 0 Comment| 8:01 pm

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(In Matlab) Create 5 random partitions of the data, splittingeach of the classes into 60% training and 40% testing.
1. Using only the training data, find the maximum likelihoodestimator for the following parameters:
  1. Class One: μ, σ
  2. Class Two: μ, σ
2. Classify each of the test samples using a Bayesian classifier(you must create a function that will do this).
Report the mean and standard deviation for the predictionaccuracy from step 6.

Hint: You will need to create a method that,given the mean and standard deviation of a distribution, determinesthe probability of a value ‘x’ belonging to that distribution.

Matlab template below:

function probability =computeGaussianDensity(mean, stdDev,

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(Solved) : Matlab Create 5 Random Partitions Data Splitting Classes 60 Training 40 Testing Using Trai Q34229919 . . . .

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