Decision trees

Logistic model tree

In computer science, a logistic model tree (LMT) is a classification model with an associated supervised training algorithm that combines logistic regression (LR) and decision tree learning. Logistic model trees are based on the earlier idea of a model tree: a decision tree that has linear regression models at its leaves to provide a piecewise linear regression model (where ordinary decision trees with constants at their leaves would produce a piecewise constant model). In the logistic variant, the LogitBoost algorithm is used to produce an LR model at every node in the tree; the node is then split using the C4.5 criterion. Each LogitBoost invocation is warm-started from its results in the parent node. Finally, the tree is pruned. The basic LMT induction algorithm uses cross-validation to find a number of LogitBoost iterations that does not overfit the training data. A faster version has been proposed that uses the Akaike information criterion to control LogitBoost stopping. (Wikipedia).

Video thumbnail

Logistic Regression on the TI84

http://mathispower4u.wordpress.com/

From playlist TI-84: Regression on the Graphing Calculator

Video thumbnail

Logistic Growth Function and Differential Equations

This calculus video tutorial explains the concept behind the logistic growth model function which describes the limits of population growth. This shows you how to derive the general solution or logistic growth formula starting from a differential equation which describes the population gr

From playlist New Precalculus Video Playlist

Video thumbnail

The Logistic Curve

This video is part of an online professional development course offered by the UNSW School of Mathematics and Statistics. https://www.openlearning.com/courses/populationgrowthandthelogisticcurve

From playlist Mathematics in The Modern World: PD courses for teachers

Video thumbnail

Logistic Regression - VISUALIZED!

People talk about "sigmoid functions", "decision boundaries" and “Training”. But what exactly is happening behind the scenes? Let’s see for ourselves! Please SUBSCRIBE to me for more content! Shoutout to 3blue1brown for creating his animation math engine “manim”. Give this a * on your

From playlist Logistic Regression

Video thumbnail

Code With Me : Logistic Regression (from scratch) !

Ever wonder how to code a logistic regression from first principles? Logistic Regression Video : https://www.youtube.com/watch?v=9zw76PT3tzs Maximum Likelihood Video : https://youtu.be/VOIhswqFWVc Link to Code : https://github.com/ritvikmath/YouTubeVideoCode/blob/main/Logistic%20Regress

From playlist Data Science Code

Video thumbnail

Lecture 0302 Hypothesis Representation

Machine Learning by Andrew Ng [Coursera] 03-01 Logistic Regression

From playlist Machine Learning by Professor Andrew Ng

Video thumbnail

Multiclass Classification : Data Science Concepts

How do we predict MORE than 2 classes??? My Patreon : https://www.patreon.com/user?u=49277905

From playlist Data Science Concepts

Video thumbnail

Logistic Regression in R | Logistic Regression in R Example | Data Science Algorithms | Simplilearn

🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=DescriptionFirstFold&utm_source=youtube This Logistic Regression in R video will help you understand what is a regression, the need for regression and th

From playlist Data Science For Beginners | Data Science Tutorial🔥[2022 Updated]

Video thumbnail

4.2.7 An Introduction to Trees - Video 4: CART in R

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Building a CART tree in R to predict the decisions of Justice Stevens and evaluate our model using a ROC curve. License: Creative Commons BY-NC-SA More informatio

From playlist MIT 15.071 The Analytics Edge, Spring 2017

Video thumbnail

Machine Learning Algorithms In-Depth Guide For 2022 | ML Algorithms Explained | Simplilearn

This video on Machine Learning Algorithm will take you through a detailed concept of machine learning algorithm. This video will help you to understand What is an Algorithm, What is Machine Learning, Types of Machine Learning, How Algorithms works in Machine Learning/Programing, Some popul

From playlist 🔥Machine Learning | Machine Learning Tutorial For Beginners | Machine Learning Projects | Simplilearn | Updated Machine Learning Playlist 2023

Video thumbnail

🔥Data Science Full Course 2023 | Data Science | Data Science For Beginners | Simplilearn

🔥 Enroll For Simplilearn's Data Science Job Guarantee Program: https://www.simplilearn.com/data-science-course-placement-guarantee?utm_campaign=DataScienceFC27nov2022&utm_medium=DescriptionFirstFold&utm_source=youtube This Data Science Full Course Video will provide you with a learning pat

From playlist Simplilearn Live

Video thumbnail

Applied ML 2020 - 08 - Gradient Boosting

Materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/

From playlist Applied Machine Learning 2020

Video thumbnail

Applied ML 2020 - 10 - Calibration, Imbalanced data

Class materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/

From playlist Applied Machine Learning 2020

Video thumbnail

Regression Trees, Clearly Explained!!!

Regression Trees are one of the fundamental machine learning techniques that more complicated methods, like Gradient Boost, are based on. They are useful for times when there isn't an obviously linear relationship between what you want to predict, and the things you are using to make the p

From playlist StatQuest

Video thumbnail

Classification In Machine Learning | Machine Learning Tutorial | Python Training | Simplilearn

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=ClassificationInMachineLearning-xG-E--Ak5jg&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learn

From playlist 🔥Machine Learning | Machine Learning Tutorial For Beginners | Machine Learning Projects | Simplilearn | Updated Machine Learning Playlist 2023

Video thumbnail

Logistic Regression Details Pt1: Coefficients

When you do logistic regression you have to make sense of the coefficients. These are based on the log(odds) and log(odds ratio), but, to be honest, the easiest way to make sense of these are through examples. In this StatQuest, I walk you though two Logistic Regression Examples, step-by-s

From playlist StatQuest

Video thumbnail

Data Science Algorithms Full Course | Data Science Tutorial For Beginners | Simplilearn

This video on Data Science algorithms will help you learn some of the essential data science algorithms used by data scientists to work on complex tasks. You will implement these algorithms using Python and R. These algorithms use supervised and unsupervised learning methods to train model

From playlist Simplilearn Live

Related pages

Logistic regression | LogitBoost | Statistical classification | C4.5 algorithm | Linear regression | Cross-validation (statistics) | Akaike information criterion | Overfitting | Piecewise linear function | Algorithm | Decision tree learning