20 points for ez question lol

You are given 6 training examples for a binary classification problem as follows:

slavikrds [6]

Answer:To simplify the discussion, we will only consider two-class classifiers in this section and define a linear classifier as a two-class classifier that decides class membership by comparing a linear combination of the features to a threshold.

Figure 14.8: There are an infinite number of hyperplanes that separate two linearly separable classes.

\includegraphics[width=6cm]{vclassline.eps}

In two dimensions, a linear classifier is a line. Five examples are shown in Figure 14.8 . These lines have the functional form $w_1x_1+w_2x_2=b$. The classification rule of a linear classifier is to assign a document to $c$ if $w_1x_1+w_2x_2>b$ and to $\overline{c}$ if $w_1x_1+w_2x_2\leq b$. Here, $(x_1, x_2)^{T}$ is the two-dimensional vector representation of the document and $(w_1, w_2)^{T}$ is the parameter vector that defines (together with $b$) the decision boundary. An alternative geometric interpretation of a linear classifier is provided in Figure 15.7 (page [*]).

We can generalize this 2D linear classifier to higher dimensions by defining a hyperplane as we did in Equation 140, repeated here as Equation 144:

\begin{displaymath}

\vec{w}^{T}\vec{x} = b

\end{displaymath} (144)

The assignment criterion then is: assign to $c$ if $\vec{w}^{T}\vec{x} > b$ and to $\overline{c}$ if $\vec{w}^{T}\vec{x} \leq b$. We call a hyperplane that we use as a linear classifier a decision hyperplane .

Figure 14.9: Linear classification algorithm.

\begin{figure}\begin{algorithm}{ApplyLinearClassifier}{\vec{w},b,\vec{x}}

score ...

...in{IF}{score>b}

\RETURN{1}

\ELSE

\RETURN{0}

\end{IF}\end{algorithm}

\end{figure}

The corresponding algorithm for linear classification in $M$ dimensions is shown in Figure 14.9 . Linear classification at first seems trivial given the simplicity of this algorithm. However, the difficulty is in training the linear classifier, that is, in determining the parameters $\vec{w}$ and $b$ based on the training set.

Explanation:

3 0

2 years ago

Select the correct answer from each drop-down menu.

Afina-wow [57]

Answer:

First blank: MAX

Second blank: AVERAGE

Explanation:

Required

Complete the blanks

The first blank is to be filled with a function that calculates the highest score from a given range of scores (cells).

To do this, we make use of the MAX function, and the syntax is:

=MAX(cell_range)

The second blank is to be filled with a function that calculates the mean score from a given range of scores (cells).

To do this, we make use of the AVERAGE function, and the syntax is:

=AVERAGE(cell_range)

3 0

3 years ago

Steve is proofreading his memo and he notices that he has typed a phrase twice. Steve should _____.

butalik [34]

The answer is B.) highlight the phrase and press Delete

7 0

3 years ago

Read 2 more answers

. Given an initially empty stack s that accepts integers, the following operations are performed: s.push (10) s.push (20) s.push

sp2606 [1]

Answer:

a) The composition of the stack is :- 80,50,20,10.

Where 80 is the top and 10 is the last element.

b) The sequence of the popped items 40,30,70,60,90.

Explanation:

Stack is LIFO type data structure means Last in First Out.The element inserted last will be out of the stack first.The removal and addition is only at the one end that is top.

First 10,20,30,40 will be inserted in the stack. 40 is a the top.Now two pop operations occurs. 40 and 30 will be removed from the stack.

Now 50,60,70 will be inserted in the stack then again two pop operations so 70 and 60 will be removed from the stack.

Now the stack contains 50,20,10.Top = 50.

80 and 90 are added to the stack and 1 pop operation that is 90 will be removed.

Stack is 80,50,20,10 . Top = 80.

Sequence of integers popped=40,30,70,60,90.

4 0

3 years ago

Write a function maxTemp which takes a filename as string argument and returns the maximum temperature as float type for the wee

Alenkinab [10]

Answer:

#section 1

def maxTemp(filename):

import pathlib

f = pathlib.Path(filename)

f.exists()

if f.exists():

f = open(filename, "r")

#section 2

next(f)

res = [int(sub.split(',')[1]) for sub in f]

maxdata = (res[0])

for i in range(len(res)-1):

if maxdata < res[i]:

maxdata = res[i]

index = res.index(maxdata)

f.close()

#section 3

li = []

a = open(filename, "r")

for line in a:

line = line.strip()

li.append(line)

a.close()

return (li[index+1])

else:

return -1

print(maxTemp("new.csv"))

Explanation:

#section 1:

The function maxTemp is defined. We import pathlib in other to check if the file exists, if it does we carry on with opening the file and if it doesn't the program returns -1.

#section 2:

We start splitting the sub-lists from the second line i.e next(f). For each line we take the second index element and convert it to an integer.

res = [int(sub.split(',')[1]) for sub in f]

The maximum number is gotten by using the if statement to compare all elements in the list. The index of the maximum item in the list is collected.

the file is then closed.

#section 3 :

The file is re-opened and all the lines are striped and passed into a new list and the index recovered from section 2, is used to get the day with the highest temperature and the line is returned.

8 0

2 years ago