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Consider the minimax search scenario where it is agent A’s turn and the current state can be expanded in to states 1 and 2 where it is agent B’s turn. Each of those states can be expanded to 1.1, 1.2, 2.1, and 2.2, where it is again A’s turn. Now consider that each of those states can be expanded twice to the following eight states with corresponding evaluation scores from A’s evaluation function:1.1.1: 101.1.2: 51.2.1: 81.2.2: 72.1.1: 42.1.2: 52.2.1: 22.2.2: 9What score would A’s evaluation function assign state 1.1? Note that it would again be agent A’s turn in this state and would have been agent B’s turn in state 1 (leading to state 1.1).

In a directed graph, an arc is an ordered pair of two .

What is the probability of rolling two fair dice and at least one comes up with the value 6?

Ockham’s razor specifies that we should prefer simpler models over more complex models.

If a machine learning model were predicting coronavirus infections and correctly diagnosed 50 patients with coronavirus, incorrectly diagnosed 22 patients with coronavirus who were healthy, correctly declined to diagnose 500 healthy patients with coronavirus, and missed diagnosing 200 patients with coronavirus when those patients were indeed ill with the disease, what is the number of false-positives by this model in this testing scenario?

Consider the following dataset including characteristics of houses and whether or not an agent was able to sell the house:   house color size      sold red large     yes red large     no gray small no gray large     yes gray small yes brown small no brown large     yes   If we were developing a naive bayes model to predict house sales, what is the probability a house would be red given that it was sold?

The tendency to prefer one hypothesis over another is called a ____

Consider the minimax search scenario where it is agent A’s turn and the current state can be expanded in to states 1 and 2 where it is agent B’s turn. Each of those states can be expanded to 1.1, 1.2, 2.1, and 2.2, where it is again A’s turn. Now consider that each of those states can be expanded twice to the following eight states with corresponding evaluation scores from A’s evaluation function:1.1.1: 101.1.2: 51.2.1: 81.2.2: 92.1.1: 42.1.2: 52.2.1: 22.2.2: 9Consider lower numbered states are evaluated first. Which states would be pruned by alpha-beta minimax? give two answers.

Consider the following dataset including characteristics of houses and whether or not an agent was able to sell the house:   house color size      sold red large     yes red large     no gray small no gray large     yes gray small yes brown small no brown large     yes   If we were developing a naive bayes model to predict house sales, would it indicate that a small red house would be sold?  

Which is a model of the following:p ← q. q. r ← s.