'Misclassification rate' diaporamas de présentation

Targeted MLE for Variable Importance and Causal Effect with Clinical Trial and Observational Data

Targeted MLE for Variable Importance and Causal Effect with Clinical Trial and Observational Data . Mark van der Laan works.bepress.com/mark_van_der_laan Division of Biostatistics, University of California, Berkeley. Outline. Standard approaches for variable importance

1.09k views • 71 slides

Classification and Regression Trees

913 views • 48 slides

Statistics for Microarrays

602 views • 46 slides

Introduction to Boosting

Introduction to Boosting. Slides Adapted from Che Wanxiang(???) at HIT, and Robin Dhamankar of Many thanks!. Ideas. Boosting is considered to be one of the most significant developments in machine learning

517 views • 41 slides

Chapter 6 Classification and Prediction (3)

473 views • 30 slides

Towards Scalable Support Vector Machines Using Squashing

Towards Scalable Support Vector Machines Using Squashing. Author:Dmitry Pavlov, Darya Chudova, Padhraic Smyth Info. And Comp. Science University of California Advisor:Dr. Hsu. Reporter:Hung Ching-Wen. Outline. 1. Motivation 2. Objective

377 views • 26 slides

Decision Tree Models in Data Mining

Decision Tree Models in Data Mining. Matthew J. Liberatore Thomas Coghlan. Decision Trees in Data Mining . Decision Trees can be used to predict a categorical or a continuous target (called regression trees in the latter case)

690 views • 23 slides

An Introduction to Logic Regression

An Introduction to Logic Regression. John Dennison d ennison.john@gmail.com @ johnsarealtwit SSN: 249-543-0833 BMI : 20.9. DC Data Science Meetup October 25, 2011.

518 views • 22 slides

K-Nearest Neighbors

K-Nearest Neighbors. Nicolas Indelicato. K-Nearest Neighbors. Dataset Background How the Algorithm Works Optimizing the Algorithm Results Issues Summary. Dataset Background. Wine Dataset 13 Attributes

541 views • 21 slides