Prob & Stats - Bayes Theorem (15 of 24) What is Negative Predictive Value (NPV)?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is the negative predictive value (NPV). NPV is the probability that a patient with a negative test result is actually free from the disease (or the tested condition). NPV equals the propo
From playlist PROB & STATS 4 BAYES THEOREM
Predicting the value of a sum or difference?
A student asked, "Why do we bother to predict if the sum or difference will be positive or negative?"
From playlist Arithmetic and Pre-Algebra: Negative Numbers
Chapter 12 Sensitivity Specificity Predictive Values Odds Ratios
Ever wandered how to calculate sensitivity, specificity, positive and negative predictive values or odds ratios or even simply what these terms mean? Watch this short lecture.
From playlist Medical Statistics
A look at why negative numbers multiply and divide to get positive products or quotients.
From playlist Core Standards - 7th Grade Math
solving and expression with absolute value and negative numbers
From playlist Common Core Standards - 7th Grade
Prob & Stats - Bayes Theorem (16 of 24) PPV & NPV Numerical Examples
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain some numerical examples of positive predictive value (PPV) and negative predictive values (NPV) using the “table” format. Next video in the Bayes Theorem series: https://youtu.be/87coLIgU_us
From playlist PROB & STATS 4 BAYES THEOREM
Prob & Stats - Bayes Theorem (20 of 24) Effects of the Test Results: Example 1
Visit http://ilectureonline.com for more math and science lectures! In this video I will determine the sensitivity, the specificity, positive predictive value (PPV) and negative predictive values (NPV) of a test given: out of 100 subjects, 20 subjects will have the disease and 80 are heal
From playlist PROB & STATS 4 BAYES THEOREM
Why Does a Negative Times a Negative Equal a Positive
This tutorial uses basic math and logic to demonstrate that a negative times a negative equals a positive. Join this channel to get access to perks: https://www.youtube.com/channel/UCn2SbZWi4yTkmPUj5wnbfoA/join :)
From playlist Basic Math
Making sense of the confusion matrix
How do you interpret a confusion matrix? How can it help you to evaluate your machine learning model? What rates can you calculate from a confusion matrix, and what do they actually mean? In this video, I'll start by explaining how to interpret a confusion matrix for a binary classifier:
From playlist Machine Learning
Diagnoses, Predictive Values, and Whether You're Sick or Not: NPV and PPV
Housekeeping first: 1) You can support Healthcare Triage on Patreon: http://vid.io/xqXr Every little bit helps make the show better! 2) Check out our Facebook page: http://goo.gl/LnOq5z We've covered test characteristics like sensitivity and specificity before, and we've even covered how
From playlist Research
Stanford CS229: Machine Learning | Summer 2019 | Lecture 21 - Evaluation Metrics
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3b2QxDe Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html 0:00
From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 12 - classifiers
Professor Sanjay Lall Electrical Engineering To follow along with the course schedule and syllabus, visit: http://ee104.stanford.edu To view all online courses and programs offered by Stanford, visit: https://online.stanford.edu/ 0:00 Introduction 0:11 Categorical outputs 12:07 Applic
From playlist Stanford EE104: Introduction to Machine Learning Full Course
How to evaluate a classifier in scikit-learn
In this video, you'll learn how to properly evaluate a classification model using a variety of common tools and metrics, as well as how to adjust the performance of a classifier to best match your business objectives. I'll start by demonstrating the weaknesses of classification accuracy as
From playlist Machine learning in Python with scikit-learn
Confusion Matrix in Machine Learning | Binary and Multiclass Classification Examples | Edureka
🔥Edureka Data Scientist Course Master Program https://www.edureka.co/masters-program/data-scientist-certification (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") This Edureka tutorial explains the Confusion Matrix. How to construct confusion matrix for binary as well as multi class classification problems, vario
From playlist Data Science Training Videos
CS224W: Machine Learning with Graphs | 2021 | Lecture 8.2 - Training Graph Neural Networks
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3mgWjr5 Jure Leskovec Computer Science, PhD Now that we have discussed methods for augmenting graphs to improve graph representations, we will talk about methods f
From playlist Stanford CS224W: Machine Learning with Graphs
VassarStats - Clinical Block 1 Example
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2017 This video covers the concepts and how to calculate: prevalence, sensitivity, specificity, likelihood ratios, and ROC curves. Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdo
From playlist Advanced Statistics Videos
Applied Machine Learning 2019 - Lecture 10 - Model Evaluation
Metrics for binary classification, multiclass and regression. ROC curves, precision-recall curves. Class website with slides and more materials: https://www.cs.columbia.edu/~amueller/comsw4995s19/schedule/
From playlist Applied Machine Learning - Spring 2019
Positive and Negative Number Patterns
Using simple patterns with negative numbers to understand general rules for adding and subtracting numbers
From playlist Middle School - Worked Examples