﻿

Below are some assumptions that we made while using decision tree: At the beginning, we consider the whole training set as the root. Feature values are preferred to be categorical. If the values are continuous then they are discretized prior to building the model. On the basis of attribute values records are distributed recursively. We use statistical methods for ordering attributes as root or the internal node.

• We use statistical methods for ordering attributes as root or the internal node.

As you can see from the above image that Decision Tree works on the Sum of Product form which is also known as Disjunctive Normal Form. In the above image, we are predicting the use of computer in the daily life of the people.

In Decision Tree the major challenge is to identification of the attribute for the root node in each level. This process is known as attribute selection. We have two popular attribute selection measures:

## Related Posts

#### What is machine learning in simple words?

Learning means the acquisition of knowledge or skills through study or experience. Based on this, we can define machine learning (ML) as follows: It may be defined as the field of computer science, more specifically an application of artificial intelligence, which provides computer systems the ability to learn with data and improve from experience without being explicitly programmed. Basically, the main focus of machine learning is to allow the computers learn automatically without human intervention. Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.
27-jan-2021 /10 /140

#### What is sequence data in machine learning?

Sequence Modeling is the task of predicting what word/letter comes next. Unlike the FNN and CNN, in sequence modeling, the current output is dependent on the previous input and the length of the input is not fixed. In this section, we will discuss some of the practical applications of sequence modeling.
3-jan-2022 /10 /140

#### What is descriptive statistics in machine learning?

DESCRIPTIVE STATISTICS : Descriptive Statistics is a statistics or a measure that describes the data. INFERENTIAL STATISTICS : Using a random sample of data taken from a population to describe and make inferences about the population is called Inferential Statistics.
3-jan-2022 /10 /140
﻿
﻿