Answer:
b
Explanation:
First, we need to initialize the classifier.
Then, we are required to train the classifier.
The next step is to predict the target.
And finally, we need to evaluate the classifier model.
You will find different algorithms for solving the classification problem. Some of them are like decision tree classification etc.
However, you need to know how these classifier works. And its explained before:
You need to initialize the classifier at first.
All kinds of classifiers in the scikit-learn make use of the method fit(x,y) for fitting the model or the training for the given training set in level y.
The predict(x) returns the y which is the predicted label.And this is prediction.
For evaluating the classifier model- the score(x,y) gives back the certain score for a mentioned test data x as well as the test label y.
The answer is D: Turn yarn into cloth.
During the industrial revolution, a number of new inventions in the textile industry greatly impacted this industry. However, it was the invention of the Spinning Jenny that is credited a lot. It helped move the textile industry from homes to factories and made wool spinning easier and faster. This invention, however, impacted the labor workforce. It reduced the amount of work needed to produce yarn. One worker was able to work 8 or more spools at once and rose to 120 due to technological advancements.
Answer:
Answered below
Explanation:
// Python implementation
incrementAmount = 5
basePrice = 10
price = 0
arrivalHour = int(input("Enter arrival hour 0-12: ")
if arrivalHour < 0 or arrivalHour > 12:
print ("Invalid hour")
if arrivalHour == 0:
price = basePrice
else:
price = arrivalHour * incrementAmount
totalPrice = price + basePrice
if totalPrice > 53:
totalPrice = 53
print ("Your bill is $totalPrice")
One factor affecting digital camera quality is the number of pixels, measured in megapixels, use to store the data for each image.
