Search for tag: "odds"

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11:17 FDS-S2-02-2-4 The logistic regression classifier FDS-S2-02-2-4 The logistic regression classifier	FDS-S2-02-2-4 The logistic regression classifier We show how to make a logistic regression classifier, and, in the context of ethics, consider how transparent logistic regression can be made to people whose lives it affects. We also compare… inf2-fds regression log boundary probability credit decision classifier neighbours odds neighbour income ratio variables algorithm score customers approval beta linear age From David Sterratt on January 20th, 2021 0 likes 133 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
10:14 FDS-S2-02-2-3 Multiple logistic regression and… FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals	FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals We extend logistic regression to multiple independent variables, and show how we can use the boostrap to estimate confidence intervals for coefficients, and to test hypotheses. inf2-fds odds beta regression hypothesis bootstrap intervals age confidence ratio hat method log credit coefficients coefficient variables fact statistic 95th dataset From David Sterratt on January 20th, 2021 0 likes 147 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
17:50 FDS-S2-02-2-1 Principle of logistic regression FDS-S2-02-2-1 Principle of logistic regression	FDS-S2-02-2-1 Principle of logistic regression We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios. inf2-fds regression odds probability beta approval success x. age variable function coefficients variables credit ratio minus curve classification naught linear times From David Sterratt on January 19th, 2021 0 likes 184 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 19th, 2021
24:02 USMR lecture 9 part 3 USMR lecture 9 part 3	USMR lecture 9 part 3 the generalized linear model usmr psychology ppls statistics rstats model probability log linear likelihood deviance odds quality heads function bit times axis logits variables points distribution chi ratio table From Martin Corley on November 15th, 2020 0 likes 164 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 15th, 2020
15:30 USMR lecture 9 part 2 USMR lecture 9 part 2	USMR lecture 9 part 2 probability, odds, log odds usmr psychology ppls statistics rstats odds probability quality values competition hand observations side bin log infinity variance probabilty linear things bit outcome times assumption model From Martin Corley on November 15th, 2020 0 likes 150 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 15th, 2020
24:43 FP - Lecture 2 - List Comprehensions FP - Lecture 2 - List Comprehensions	FP - Lecture 2 - List Comprehensions This is the second FP Lecture video, covering Lists and Comprehensions. inf1a informatics 1 introduction to computation functional programming haskell lists comprehension doo numbers squares integers integer sum property odds things tikki parameter thing square count prelude tail overflow module From Claudia-Elena Chirita on September 11th, 2020 0 likes 1,098 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English

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