Answer and Explanation:
Some of the advantages of using the F measure (weighted harmonic mean) over using the Precision & Recall when evaluating an IR system performance are as follows-
- Precision quantifies the number of positive class predictions that actually belong to the positive class.
- Recall quantifies the number of positive class predictions made out of all positive examples in the dataset.
- F-Measure provides a single score that balances both the concerns of precision and recall in one number.
- A measure that combines precision and recall is the harmonic mean of precision and recall, the traditional F-measure or balanced F-score:
F=2((precision.recall)/(precision+recall))
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Answer:
First of all,there is not theory F=ma^2!!
Its F=ma and they are definitely not the same.Here F means force and E means Energy.
a means acceleration, but c means the velocity of light. Clearly there's difference between acceleration and velocity and force and energy.
F=ma can be applied on things we normally see but E=mc^2 is applied on things that can travel nearly in light speed!which means atoms,molecules, protons,electrons etc. energy can be determined by the Einstein theory but F=ma is for determining human energy, or energy of cars,vehicles or any regular moving things
Explanation:
Simple: Keep your camera protected from the rain
Here are some tips for photographing during rainy day: 1) Use image stabilization or tripod.
2) Choose a larger aperture.
3) Change the object on which you focus.
4) Have a well-defined center of interest.
5) Review all images.
6) Use exposure compensation.
I have write a very simple code for you in python and i hope it will help you a lot.
def generateString(char, val):
print(char * val)
Explanation:
This is how you can create your function in python and this function will give you the desired output.
How to Call a function:
generateString('a',12)
this is how you can call the function to get output.
I hope you get the idea.
