Give an example of a binary classification dataset with 3 points (x, y) for which the 1-NN classifier does not have zero training error (that is, it makes mistakes on the training set). You should plot the three points and show where the error is.
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classifier does not have zero training error (that is, it makes mistakes on the training set).
You should plot the three points and show where the error is."
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- Let U={x|x is a positive integer and equal less than 10}, A= {x|x is a postive integer less than 10 and x is odd}, and B={x|x is a prime number and x is less than 10}. Using bit operation, show that set operators are equivalent to logical AND and OR operators.A histogram is plotted to get an idea of the probability distribution for a feature in a dataset. Given the histogram, what would you estimate for the probability that, for a random sample, the feature lies between 2 and 4? 0.175 0.150 0.125 0.100 0.075 0.050 0.025 0.000 0.5 0.125 0.05 0 0.25 -2 -6 8 10Consider the following problem. You are given a list of words, each con- sisting of a sequence of one or more letters. The goal is to arrange the words in a sequence so that: ⚫the last letter of the first word is the same as the first letter of the second word ⚫the last letter of the second word is the same as the first letter of the third word .... and so on... ⚫the last letter of the next-to-last word is the same as the first letter of the last word 1 For a given sequence of words, we could ask the question, "is it possible to arrange the entire list of words into one such sequence?" Argue that this problem is in NP. Argue whether the problem posed in the question 2 above is in P.
- I need a nice flow chart that does the following: One scenario that may require the use of both a "for" loop and a "while" loop is when dealing with data that has a known length or size, but requires a conditional check to determine when to stop iterating. For example, let's consider a scenario where you have a list of numbers and you want to find the first occurrence of a specific number. You know the length of the list, so you can use a "for" loop to iterate through each element. However, you need to use a "while" loop within the "for" loop to check if the current element matches the desired number. If a match is found, the "while" loop can break, and you can exit the "for" loop. Please and thank you <3Let's revisit our first problem, where we want to set up a series of chess matches so we can rank six players in our class. As we did before, we will assume that everyone keeps their chess rating a private secret; however, when two players have a chess match, the person with the higher rating wins 100% of the time. But this time, we are only interested in identifying the BEST of these six players and the WORST of these six players. (We don't care about the relative ordering or ranking of the middle four players.) Your goal is to devise a comparison-based algorithm that is guaranteed to identify the player with the highest rating and the player with the lowest rating. Because you are very strong at Algorithm Design, you know how to do this in the most efficient way. Here are five statements. A. There exists an algorithm to solve this problem using 6 matches, but there does not exist an algorithm using only 5 matches. B. There exists an algorithm to solve this problem using 7 matches,…Please provide steps to answer this question: Your task is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck. Implement and train a classification model for the Titanic dataset (the dataset can be found here: https://www.kaggle.com/c/titanic). Please ignore the test set (i.e., test.csv) and consider the given train set (i.e., train.csv) as the dataset. What you need to do: 1. Data cleansing 2. Split the dataset (i.e., train.csv) into a training set (80% samples) and a testing set (20% samples) 3. Train your model (see details below) 4. Report the overall classification accuracies on the training and testing sets 5. Report the precision, recall, and F-measure scores on the testing set
- Use the sacramento.csv file to complete the following assignment. Create a file, sacramento.py, that loads the .csv file and runs a logistic regression. The regression should predict whether or not a house has 1 or more than one bathroom based on beds, sqft, and price, in that order.You will need to create a new variable from baths, and it should make it such that those observations of 1 bath correspond to a value of 0, and those with more than 1 bath correspond to a 1. Make sure to add a constant using sm.add_constant(X) Your file should print the results in this way: print(mod.params.round(2)) print(mod.pvalues.round(2)) print('The smallest p-value is for sqft')Your task is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck. Implement and train a classification model for the Titanic dataset (the dataset can be found here: https://www.kaggle.com/c/titanic). Please ignore the test set (i.e., test.csv) and consider the given train set (i.e., train.csv) as the dataset. What you need to do: 1. Data cleansing 2. Split the dataset (i.e., train.csv) into a training set (80% samples) and a testing set (20% samples) 3. Train your model (see details below) 4. Report the overall classification accuracies on the training and testing sets 5. Report the precision, recall, and F-measure scores on the testing set 1. Required Model (100 pts): Implement and train a logistic regression as your classification model. • You have to use Sklearn deep learning library. • You may want to refer to this tutorial: https://bit.ly/37anOxiApply R to simulate a set of 100 numbers with standard deviation of 2 and mean of 20. List out the set of numbers.
- Consider the formula rv p→qv¬r Fill in the blanks with names of the columns of a truth table for this formula. To insert special symbols, copy them from the given formula. If there is more than one way to label columns, put them in left to right order. Do not simplify the formula. For example, if the formula is (p →q) ^ - p, then insert the following in the five blanks (without numbers, numbers are just to denote which blank it is): 1) p 2) q 3) p q 4) -p 5) (p →q) ^ ¬p Note that the variable columns are labeled in alphabetical order (p, then q, then r...), p →q is listed before -p (left to right), and there are no outer parentheses on any formulas.Use the sacramento.csv file to complete the following assignment. Create a file, sacramento.py, that loads the .csv file and runs a logistic regression. The regression should predict whether or not a house has 1 or more than one bathroom based on beds, sqft, and price, in that order.You will need to create a new variable from baths, and it should make it such that those observations of 1 bath correspond to a value of 0, and those with more than 1 bath correspond to a 1. Make sure to add a constant using sm.add_constant(X) Your file should print the results in this way: print(mod.params.round(2)) print(mod.pvalues.round(2)) print('The smallest p-value is for sqft') Please use sm.add_constant(X)! In Jupyter Notebook please! Please use the sys module!