PPT-Accuracy

Author : danika-pritchard | Published Date : 2016-07-09

Chapter 51 Dat a Screening Data Screening So Ive got all this datawhat now Please note this is going to deviate from the book a bit and is based on Tabachnick

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Accuracy: Transcript

Chapter 51 Dat a Screening Data Screening So Ive got all this datawhat now Please note this is going to deviate from the book a bit and is based on Tabachnick amp Fidells. 1 02 03 04 05 06 07 08 09 1 Measured Value of x Fraction of Total Measurements SD 01 SD 02 SD 03 brPage 5br mean standard deviation histogram Figure 3 Mass of Unknown Sample 102 104 106 108 11 112 114 116 118 12 Mass kg of Measurements brPage 6br Krylov. . s. ubspace . m. ethods . Erin Carson and James . Demmel. Householder Symposium XIX. June 8-13, 2014, Spa, Belgium. 2. Model Problem: 2D . Poisson on . grid. , . . .. . Equilibration . (diagonal scaling) used. . Krylov. . s. ubspace . m. ethods . Erin Carson and James . Demmel. Householder Symposium XIX. June 8-13, 2014, Spa, Belgium. 2. Model Problem: 2D . Poisson on . grid. , . . .. . Equilibration . (diagonal scaling) used. . The Error Matrix. Error matrix for a 5-class classification. Overall Accuracy. . = (100 + 105 + 60 + 84 + 55) / 500 = 404 / 500 = 81%. Reference Map. . No. Pixels Classified as. . Class. . No. Pixels. Landsat Classification of. Twin Cities Metro Area. Land Cover. How accurate is this classification?. 0. 9. 18. 27. 36. 4.5. Miles. Shrub & Herbaceous. Forest. Cultivated. Water. Urban – % Impervious. An introduction to GPS technology. Acknowledgements . Thank you to the University of New Hampshire Cooperative Extension Program for providing these materials! . GPS Accuracy – what are your needs?. Define: . Accuracy. Precision. Draw & . Label. 4 dart boards to illustrate:. . (. each board should contain . 4 marks. ). High Accuracy, High Precision. High Accuracy, Low Precision. Low Accuracy, High Precision. Krylov. . s. ubspace . m. ethods . Erin Carson and James . Demmel. Householder Symposium XIX. June 8-13, 2014, Spa, Belgium. 2. Model Problem: 2D . Poisson on . grid. , . . .. . Equilibration . (diagonal scaling) used. . What is . accuracy. ?. Accuracy. refers to how . close. a measurement is to the true or actual value.. Example: A dart thrower tries to get the darts as close to the bull's-eye as possible. He wants to make . The Problem. Social network data often rely on cognitive reports such as ‘Name the three people you interact with most in this group’. How closely do these . cognitive. . reports represent . behavior. CONTEXT. There are two . contexts precision . and accuracy apply to: sets of data, and measuring instruments.. In a set of data, those measures give an idea of the spread and “. ballpark. ” of the answer (final measurement).. Friday. , September 2. nd. , 2016. Accuracy . vs. Precision –. Accuracy. – how close a measurement is to the actual value. Precision. – how close a group of measurements are to each other.. Look at each target below and decide whether the situation is accurate, precise, both, or neither:. InventoryStrategiesDemand Planning LLC03/25/2009Revised April 30 201826 Henshaw Street Woburn MA 01801 wwwdemandplanningnet1By Mark Chockalingam PhDForecast Accuracy -AbstractDemand visibilityis losecollaborationtheteranservicerganizationSO partnersheeteransBenefitsdministrationBA isleasednouncea new pilotleda ClaimAccurRequestARisilotilllow accreditedepresentativesopportunityequest editious

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