File:Data-Driven-Estimation-of-Imputation-Error—A-Strategy-for-Imputation-with-a-Reject-Option-pone.0164464.s005.ogv

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English: Effect of Threshold, Echocardiogram dataset. Movie showing the effect of different thresholds (see Fig 4). A-C. Visualization of the effect of threshold using the complete cases with simulated missing values for A. Probabilistic PCA (PPCA) imputation, B. Mean imputation, C. KNN imputation. In all three, blue represent complete cases. Simulated cases with missing that would be rejected (red) or accepted (green) for the current threshold. The size represents the actual imputation error. D. Threshold versus an errors examplified with Root Mean Square Errors (RMSE) of the actual imputation error for the included cases (full red lines) and the excludedcases (dotted blue lines).
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Source S3 Video from Bak N, Hansen L (2016). "Data Driven Estimation of Imputation Error—A Strategy for Imputation with a Reject Option". PLOS ONE. DOI:10.1371/journal.pone.0164464. PMID 27723782. PMC: 5056679.
Author Bak N, Hansen L
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Date/TimeThumbnailDimensionsUserComment
current03:16, 29 October 201620 s, 1,600 × 830 (601 KB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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VP9 720P 119 kbps Completed 15:19, 17 February 2023 6.0 s
Streaming 720p (VP9) 119 kbps Completed 16:17, 12 March 2024 1.0 s
VP9 480P 54 kbps Completed 15:49, 17 February 2023 2.0 s
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WebM 360P 57 kbps Completed 15:49, 17 February 2023 1.0 s
Streaming 144p (MJPEG) 125 kbps Completed 23:01, 2 November 2023 1.0 s

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