Decision tree algorithm interview questions

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WebAug 31, 2024 · Interviewer: What is a decision boundary? Your answer: A line or a hyperplane that separates the classes is called a decision boundary. The goal of logistic regression, as with any... WebSep 16, 2016 · You start with the decision tree algorithm, since you know it works fairly well on all kinds of data. Later, you tried a time series regression model and got higher accuracy than decision tree model. Can this happen? Why? Answer: Time series data is known to posses linearity.

Most Common Binary Tree Interview Questions & Answers [For …

WebNov 20, 2024 · A decision tree is a tree in which every node specifies a test of some attribute of the data and each branch descending from that node corresponds to one of … WebML Interview Questions Anomaly Detection 47 Autoencoders 13 Bias & Variance 14 Big-O Notation 22 CNN 13 Classification 43 Clustering 40 Computer Vision 36 Cost Function 13 Curse of Dimensionality 14 Data Mining 13 Data Processing 81 Data Structures 61 Databases 29 Decision Trees 47 Deep Learning 51 Dimensionality Reduction 42 … cisco small office switch

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WebAns:-C50 and tree packages can be used to implement a decision tree algorithm in R. 58. What is Random Forest? Ans:-Random Forest is an Ensemble Classifer. As opposed to building a single decision tree, random forest builds many decision trees and combines the output of all the decision trees to give a stable output. 59. WebApr 8, 2024 · Here are some of the important Data Science interview questions for freshers: 1. Explain the building of a random forest model. When the data is split into groups, each set makes a decision tree. The role of a random forest model is to get the trees from different groups of data and combine them all. The following are the steps to build a ... WebApr 11, 2024 · Answer: A decision tree is a supervised learning algorithm used for classification and regression tasks. It involves recursively splitting the data into subsets … diamond shark type beat

Difference between Decision Table and Decision Tree

Decision Tree Interview Questions & Answers [For …

WebFeb 17, 2024 · What is decision tree algorithm? Decision tree is a machine learning algorithm used for modeling dependent or response variable by sending the values of … WebNov 18, 2024 · The problem with Decision trees is that they overfit the data. They learn to split the training data to lower the metric but end up doing so in such a way that it overfits the data and the model does poorly on unseen data. There are 2 main ideas to fix the overfitting of Decision Trees. Bootstrapping. Ensembling. cisco small managed switchWebDecision tree interview questions are a popular topic for a job seeker preparing for software engineer or web developer interviews. The decision tree algorithm solves many problems in computer programming, so … diamond sharp cutlery brea ca

"WebThe decision tree learning algorithm. The basic algorithm used in decision trees is known as the ID3 (by Quinlan) algorithm. The ID3 algorithm builds decision trees using a top-down, greedy approach. Briefly, the steps to the algorithm are: - Select the best attribute → A - Assign A as the decision attribute (test case) for the NODE. " - Decision tree algorithm interview questions

Decision tree algorithm interview questions

51 Essential Machine Learning Interview Questions and Answers

WebDec 2, 2024 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. WebAug 25, 2024 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

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WebApr 14, 2024 · Written Test. In this written test have 4 different categories of questions. They are, Aptitude Questions: In this category may include questions on topics such as maths fundamentals, areas and volumes, time and speed, percentages, profit and loss, simple interest and compound interest, ratios, geometry etc. WebOct 7, 2024 · Do not worry, let’s get to those very questions straightaway! What is a random forest? The random forest is a supervised learning algorithm in Machine Learning. It is called random since the data samples it creates for making the decision trees are randomly selected (a form of bagging).

WebJan 30, 2024 · First, we’ll import the libraries required to build a decision tree in Python. 2. Load the data set using the read_csv () function in pandas. 3. Display the top five rows from the data set using the head () function. 4. Separate the independent and dependent variables using the slicing method. 5. WebApr 11, 2024 · Answer: A decision tree is a supervised learning algorithm used for classification and regression tasks. It involves recursively splitting the data into subsets based on the values of the input variables. Advantages of decision trees include their interpretability, ability to handle both categorical and continuous variables, and their …

WebNov 11, 2024 · 7. Top 15 Websites for Coding Challenges and Competitions. 8. 9. Maximize cost to reach the bottom-most row from top-left and top-right corner of given matrix. 10. … WebMar 9, 2024 · Top Machine Learning Interview Questions Let's start with some commonly asked machine learning interview questions and answers. 1. What Are the Different Types of Machine Learning? There are three types of machine learning: Supervised Learning In supervised machine learning, a model makes predictions or decisions based …

WebDecision Trees Q&As Q1: What are Decision Trees? Supervised Learning Add to PDF Entry Q2: Explain the structure of a Decision Tree Related To: Supervised Learning Add …

WebFeb 20, 2024 · If you are preparing for a coding interview, going through these problems is a must. Topics : 1. Graph 2. Linked List 3. Dynamic Programming 4. Sorting And Searching 5. Tree / Binary Search Tree 6. Number Theory 7. BIT Manipulation 8. String / Array Graph 1. Breadth First Search (BFS) 2. Depth First Search (DFS) 3. cisco smart account structureWebApr 20, 2024 · Machine learning interview questions about ML algorithms will test your grasp of the theory behind machine learning. Q1: ... Answer: Pruning is what happens in decision trees when branches that have weak predictive power are removed in order to reduce the complexity of the model and increase the predictive accuracy of a decision … diamond sharp award bulletWebNov 11, 2024 · Top 50 Graph Coding Problems for Interviews 1. 2. 3. 4. 6. 7. Top 15 Websites for Coding Challenges and Competitions 8. 9. Maximize cost to reach the bottom-most row from top-left and top-right corner of given matrix 10. Complexity of different operations in Binary tree, Binary Search Tree and AVL tree Article Contributed By : … cisco smart account login portalWebWhich argument we need to pass in decision tree to make the algorithm boosting algorithm? Which nodes have the maximum Gini impurity in a decision tree? In decision tree we only use discrete data ? Which … diamond sharksWebAlgorithm Used. Step:1 Choose the best attribute using Attribute Selection Measures (ASM) to divide the records into sub-records. Step:2 Make that current node to a decision node and split the dataset into smaller subsets. Step:3 Build Decision tree until by repeating this process recursively for each child until one of the below condition will ... cisco smart collector downloadWebNov 20, 2024 · To which kind of problems are decision trees most suitable? Decision trees are most suitable for tabular data. The outputs are discrete. Explanations for decisions are required. The training data may contain errors. The training data may contain missing attribute values. On what basis is an attribute selected in the decision tree for choosing ... cisco smart account user rolesWebMar 2, 2024 · Decision Tree Classifier And Regressor. Interview Questions: Decision Tree; Entropy, Information Gain, Gini Impurity; Decision Tree Working For Categorical … diamond shark fish