in number of variables vs in the number of variables

Both phrases are correct, but they are used in different contexts. 'In number of variables' is used when discussing quantities or comparisons, while 'in the number of variables' is used when referring to a specific count of variables. The choice between the two depends on the context in which they are used.

Last updated: March 17, 2024 • 726 views

in number of variables

This phrase is correct and commonly used when discussing quantities or comparisons.

This phrase is used when referring to quantities or comparisons of variables without specifying a specific count.

Examples:

The complexity of the algorithm increases in number of variables.
There is a significant difference in number of variables between the two datasets.

Show examples from the web [+]

Sep 26, 2005 ... Probabilistic inference example. Flu. Allergy. Sinus. Headache. Nose=t. Inference seems exponential in number of variables!
exponential in number of variables co-mentioned with that variable. •Without variable elimination, exponential in number of summation variables. Overview.
error rate (or MSE) at each step down in number of variables. 5. Steps 1-4 are repeated 10-50 times to smooth out the variability; select p that minimizes the ...
reduction in number of variables that may reach 3-6% of the original numbers. Such reduction leads to significant reduction in the complexity of the model and ...

Alternatives:

with the number of variables
among the variables
regarding the variables
related to the variables
concerning the variables

in the number of variables

This phrase is correct and commonly used when referring to a specific count of variables.

This phrase is used when specifying a particular number of variables being discussed.

Examples:

The error rate increases in the number of variables from three to five.
There is a difference in the number of variables used in the two experiments.

Show examples from the web [+]

The change in the number of variables from 200 to 500 causes the Forward Stepwise MSE to increase and implies a breakdown point at lower sparsity levels .
The change in the number of variables from 200 to 500 causes the Forward Stepwise. MSE to increase and implies a breakdown point at lower sparsity levels.
Feb 17, 2012 ... Most clustering algorithms just use distance functions, and these usually are linear in the number of variables. However, not every result will be ...
Feb 18, 2013 ... "I could construct an algorithm that scales polynomially in the number of constraints or variables but not in the number of variables and ...

Alternatives:

within the number of variables
inside the number of variables
amidst the variables
amid the variables
inside the variables

What Our Customers Are Saying

Our customers love us! We have an average rating of 4.79 stars based on 283,125 votes.
Also check out our 2,100+ reviews on TrustPilot (4.9).

"Thank you!"
Sachi Nakama July 2024
"I have literally been through chat, PI, claude, bard and bing and I got conflicting answers! Thank you! Human intelligence reigns!"
Retha July 2024
"Faster than AI"
CYNTHIA December 2023
"This was very helpful and I personally think this site is the best."
Kaden October 2023
"It was extremely thorough and very helpful!"
imperialelisa October 2023
"7 years without any disappointment. Always 100% satisfied. You guys are the best in the world at what you do. Thank you so much :)"
Zubair Alam October 2023
"In a world of text messages and online communication, this is great to have as a live tool. Thank you."
Selena October 2023
"Without textranch I would be stuck!"
宏祐 October 2023
"Accuracy and fast response. Personal comments from editor. Thank you."
Clh September 2023
"I wasn't aware of this service, it's fascinating and more reliable than standard IA tools available on the internet"
Arturo September 2023
"The fact that you can get reliable fast feedback on your texts."
Vinicius Antonio August 2023
"you guys are better than grammarly i'm being honest here"
ordinary July 2023
"OMG! This is really good than any other text correction tools I've used so far. Highly recommend this."
Vehan July 2023
"Very fast and accurate. thank you."
mojtaba July 2023
"I love this app because it's help to writing skills all of students ♥️"
Tarisini July 2023
"This was exactly the mistake I was looking for, the wording dind´t sound right at first. Better than grammarly!"
Ente July 2023
"The immediate help that I received was reassuring and very satisfactory. Thanks."
priiiyanshuu July 2023
"this helps A LOT for my studies."
kathnunez02 June 2023
"Woow!! I would never have expected such precision! Thank you soooo much!!"
Berta June 2023
"Real Time Editor and not AI. Many Thanks."
Priya June 2023
"The very first thing excites me about Textranch is how much your editors care."
sepideh June 2023
"The fact that texts are checked by human editors rather than by AI, etc. I appreciate this!"
Анна June 2023
"Feel welcome, immediate response, high quality feedback"
martin.roy June 2023
"This is the best app that I have ever seen"
Burulai May 2023

in number of variables vs in the number of variables