Classification §

Group: 4 #group-4

Relations §

• Decision Trees: Decision Trees can be used for Classification tasks
• Machine Learning: Classification is a type of Supervised Learning task used to predict a categorical label or class.
• Grouping: Grouping involves classifying or categorizing items based on shared characteristics.
• Binning: Binning is a process of assigning values to bins or categories.
• Stratification: Stratification is the process of dividing a population into distinct layers or strata.
• Discrimination: Discrimination is the ability to recognize differences between things for classification.
• Order: Classification systems help to organize and bring order to information or objects.
• Segmentation: Segmentation is the process of dividing a whole into smaller segments or classes.
• Grouping: Grouping is the act of putting things into groups or classes.
• Separation: Classification involves separating things into distinct groups or categories.
• Arrangement: An arrangement can involve classifying or categorizing elements.
• Segmentation: Segmentation can be viewed as a form of classification, assigning data points to different classes or segments.
• Distinction: Classification requires making distinctions between things to assign them to different classes.
• Differentiation: Differentiation is the process of distinguishing or separating things into different classes.
• Taxonomy: Taxonomy is a system of classification, often used in biology to classify organisms.
• Hierarchy: Classifications often involve hierarchical levels or ranks.
• Labeling: Classification involves assigning labels or names to groups or categories.
• Clustering: Clustering is a technique used in classification to group similar things together.
• Systematics: Systematics is the study of biological classification and taxonomy.
• Categorization: Classification involves categorizing or grouping things based on shared characteristics.
• Logistic Regression: Logistic regression is a classification algorithm used to predict the probability of an instance belonging to a particular class.
• Machine Learning: Classification is a type of Supervised Learning task where the goal is to predict a categorical label or class based on input features.
• Typology: A typology is a classification scheme based on types or categories.
• Demarcation: Demarcation is the act of setting boundaries or limits to define classes or categories.
• Sorting: Sorting is the process of arranging things into classes or categories.
• Partitioning: Classification partitions or divides a set of things into subsets or classes.
• Organization: Classification helps organize things into a structured system.