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.
Learning
planning
designing
developing
testing delivering
Answer:
Option 2: Variable names can not begin with a number.
Explanation:
As given Mark and John named a variable as 24_hour_mart while writing a program in python.
While it is forbidden to name a variable starting with any digit, only alphabets (capital and smaller) and underscore can be the first letter of the variable name.
Moreover, by considering the other options given:
- Variable name can include the underscore (_) between the words. It is used instead of spaces that are not allowed.
- There is no upper limit for variable length, it can be of any reasonable length and more than 10 characters say 11 or 12 are reasonable.
- There is no lower limit for variable length, it can be any reasonable length , even it can be of 1 character.
Variables named in python language must not be the keywords as they are reserved for other purposes.
i hope it will help you!
Answer:
D. javascript
Explanation:
use form validation method bro
