Precision and Recall in Machine Learning Quiz 1

Precision and Recall in Machine Learning Quiz 1

  • Number of questions: 16
  • Time limit: 7 minutes
  • Must be finished in one sitting. You cannot save and finish later.
  • Questions displayed per page: 1
  • Will allow you to go back and change your answers.
  • Will not let you finish with any questions unattempted.

1 / 16

What is the quantity 7.5 millimeters expressed in centimeters?

2 / 16

Saba estimates the weight of her cat to be 8 pounds.  The actual weight of the cat was 10 pounds.  Find the percent error.

3 / 16

The students measured length during a science experiement, they got 12 cm. But the actual measurement was 14.25 cm. What was the percent error?

4 / 16

Describe the accuracy and precision of the image

5 / 16

It is a measure of how close measurements come to each other when they are made in the same way

6 / 16

The closeness of a measurement to its true value is a measure of its:

7 / 16

A and B both wash cars and change oil. Currently, each man washes and changes oil by himself, but the process takes lots of time. they would MOST LIKELY improve their efficiency if

8 / 16

This bullseye demonstrates...

9 / 16

Based on the data provided below which student has the most precise data?

10 / 16

A set of data are all close to each other, but they are not close to the actual value.  This set of data can be described as...

11 / 16

Which of the following lengths is the same as one meter?

12 / 16

A chemist who frequency carries out the same complex experiment is likely to have high _____.

13 / 16

This bull eyes demonstrates…

14 / 16

A reaction takes place that is expected to yield 171.9 g of product, but only yields 154.8 g.  What is the percent error for this experiment?

15 / 16

Three different people weigh a standard mass of 2.00 g on the same balance.  Each person obtains a reading of exactly 7.32 g for the mass of the standard. These results imply that the balance that was used is:

16 / 16

A set of data are all close to each other, and they are close to the actual value.  This set of data can be described as...

Your score is

0%