A confusion matrix based on one particular cut-off probability can determine the entire ROC curve. True False
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A confusion matrix based on one particular cut-off probability can determine the entire ROC curve.
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- Draw the probability tree for the situation. Draw the reverse tree for the situation.1. Suppose that a set of samples x1, x2, ..., xn, all real numbers, are drawn i.i.d. from the same distribution. Also assume that this distribution is a Gaussian distribution, which can be represented as N(u, o²). Write a function that accepts a set of samples and returns the MLE estimator for u. NOTE: The code below will be evaluated by a Python 2.7 interpreter. def mle(samples): pass Run Reset Once your function is correct, your will receive a submission code that you should input into the answer field. Enter answer here 2. In the previous question, you were asked to write a function for an estimator of a parameter of a distribution. Is the result of this function, an estimator, a random variable? Yes NoSimulate a probability curve fx (x)~N(µ,δ) in Matlab AND Calculate the cumulative probability fx(x) Note: you are free to choose the example or the data for your case study.
- In bivariate regression, the regression coefficient will be equal to rXY when:Simulate a probability curve fx(x)~N(µ,δ) in Matlab AND Calculate the cumulative probability fx (x)note: attach matlab code of the simulation, may be in textExplain why Random Early Detection calculates drop probability using two thresholds. Diagrams simplify.
- Show validity by natural deduction: ∀xp(x, f(x)) → ∀x∃yp(x,y)This implies an assumption that the probability of each sample is independent from the others. Select one: A. True B. FalseUse Python or Matlab to produce the solution for the following problems. Calculate the probability that individual has at least two violations. Calculate the expected value and variance of number of violations. Suppose an individual with X violations incurs a surcharge of $30X+$50. Calculate the expected amount of the surcharge, and the variance.
- 1. The impulse response of a causal system is: h(t) = A cos(wt) e¯¹/¹u(t) where u(t) is the Heaviside step function. The response is measured experimentally with a sampling interval of T. a. Write an expression for the sampled impulse response h[n]. b. Calculate the z transform of h[n] and write an expression for H[z]. Use the tables provided below as necessary. c. Does the system have an infinite impulse response (IIR) or finite impulse response (FIR)? Justify your answer. d. What is the DC gain of H[z]? e. Write a difference equation that describes the output y[n] in terms of input x[n].The standard normal probability density function is a bell-shaped curve that can be represented as 1 f (z) = Use Matlab to generate a plot of this function using function handle plot from z= -5 to 5. Label x-label as frequency and y- axis as z.If a problem has 12 boolean variables, how many full joint probabilities would you need to add up to find P(a v b)