BI Class 10-11

These flashcards cover key concepts related to business intelligence, decision trees, and related data classification methods, aiding in exam preparation.

Decision Tree

A supervised machine learning algorithm used for regression and classification.

Classification Tree

A tree structure where outcomes are variables like units or measurements, built using binary recursive partitioning.

Regression Trees

Decision trees where the target variable can take continuous values, such as real numbers.

Binary Recursive Partitioning

An iterative process of splitting data into partitions in decision trees.

Holdout Method

A technique where records are randomly selected for testing the accuracy of classification.

Classification vs. Prediction

Classification involves forming data into classes, while prediction involves correctly classifying data ranges based on known values.

Tree Pruning

A method used to enhance decision trees by stopping growth prematurely or removing nodes from an already grown tree.

Fuzzy Logic

A form of logic used for classifications that allows for degrees of membership in a category rather than precise cutoffs.

Cluster Analysis

The process of grouping similar items into clusters, typically as part of unsupervised learning.

Bayesian Classification

A statistical method that predicts class membership based on probabilities, assuming independence among attributes.