Subset example sentences

"Subset" Example Sentences

1. Mathematicians chose a small subset of numbers to study.
2. The researchers sampled a subset of the population for the study.
3. The dataset contained a large subset of missing data.
4. Customers wanting expedited shipping formed a subset of the total orders.
5. Programmers created a subset of functions within the larger API.
6. The jury consisted of a random subset of registered voters.
7. Common subsets of the Latin alphabet include the Cyrillic and Greek alphabets.
8. Mathematicians define subsets within larger sets using set notation.
9. The risk analysis focused only on a small subset of possible scenarios.
10. Engineers designed a specialized subset of commands for the new software.
11. Annotating a subset of the data helped improve the machine learning model.
12. Researchers studied a particular age subset within the overall population.
13. The product line includes a growing subset of customizable options.
14. Summary statistics described trends within different data subsets.
15. The data repository contained numerous subsets based on demographic variables.
16. Variants of the organism formed subsets within the broader bacterial species.
17. We defined an initial subset of requirements to validate the prototype.
18. The task force represented only a small administrative subset of the university.
19. The marketing campaign targeted a specific geographic subset of customers.
20. We refined our dataset by choosing a relevant subset of variables.
21. The language model achieved higher accuracy on a subset of known examples.
22. Removing outliers improved results for the majority subset of the data.
23. Programmers defined subsets of permissions for different user types.
24. The formula described a general mathematical relationship within a given subset.
25. Programmers created wrapper functions to subset a larger dataset.
26. Specialized products formed a new, niche subset within the overall portfolio.
27. We tested a representative subset of samples from the larger group.
28. The algorithm performed better on a particular gender subset within the dataset.
29. We can describe a set by its different subsets and their relationships.
30. Variables within the dataset were partitioned into relevant subsets.
31. Customers nearing renewal formed an important subset for targeted marketing.
32. Documents related to a particular topic formed a subset within the library catalog.
33. The algorithm achieved a low error rate across multiple dataset subsets.
34. The analysis considered trends within income-level subsets of the population.
35. A subset of hypotheses were experimentally tested and validated.
36. Code examples demonstrated function calls on dataset subsets.
37. Results varied significantly across population subsets based on age and gender.
38. The training data contained representative subsets for each use case.
39. Subsets of the collection were made available for different customer tiers.
40. The dashboard visualized trends within different demographic subsets.
41. Variables were grouped into logical data subsets for analysis.
42. We selected a convenience subset of participants for the initial trial.
43. A particular region formed an important market subset for the product.
44. The venn diagram showed the relationships between four dataset subsets.
45. The rifle team formed a small performance subset within the larger gymnastics club.
46. Rows representing a specific subset were filtered from the larger data frame.
47. Redundant data were removed to optimize a relevant dataset subset.
48. Test units covered the major function subsets within the program.
49. Customers were segmented into relevant purchasing behavior subsets.
50. We systematically sampled across subsets to ensure representativeness.
51. Behavior differences emerged across age and gender subsets of participants.
52. Training examples spanned diverse subsets relevant to the task.
53. The experiment included control and treatment subsets within groups.
54. The study compared outcomes between relevant population subsets.
55. We indexed document subsets by subject for optimized searching.
56. Graphs visualized outcome differences across relevant dataset subsets.
57. Combinations of variables formed subsets of the possible feature space.
58. Results varied significantly across experience level subsets within the same job role.
59. Programming examples demonstrated function calls on particular dataset subsets.
60. The method involved recursively subsetting parts of the larger set.

Common Phases

1. A subset of the data
2. A proper subset
3. A particular subset
4. A representative subset
5. A sampling of subsets
6. A random subset
7. A unique subset
8. Subsets of the population
9. Subsets of the dataset
10. Subsets of customers
11. Form a subset
12. Create subsets
13. Define subsets
14. Limit to a subset
15. Select a subset
16. Study subsets
17. Analyze subsets
18. Within a subset
19. Across subsets
20. Compare subsets