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Semi-Supervised Learning with Graph Transduction

In a comparative study of semi-supervised learning using graph transduction, we evaluated multiple teams on their classification accuracy and time efficiency across various datasets. The Alpha team achieved the highest classification accuracy of 91.31%, followed closely by Gamma and Delta teams. All teams were tested with both original and shuffled datasets, yielding insights into their performance stability. The results showed significant variance, particularly in time efficiency, with the Beta team emerging as the overall winner. Detailed accuracy and timing statistics were recorded for comprehensive analysis.

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Semi-Supervised Learning with Graph Transduction

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  1. Semi-Supervised Learning with Graph Transduction Prof: Latecki Evaluators: Nancy & Nouf

  2. WE generated two different GROUPS of dataset for testing: • 5 different datasets from the original data • Calculated mean accuracy and time • These were used for the evaluation • For further testing, we shuffled the data and repeated the testing • These results will not be taken into account for the decision of the winning team Dataset

  3. Average Classification Accuracy= 85.49% • Maximum Accuracy = 87.44% • Average Time = 0.4877 • Didn’t work on Shuffled datasets Alpha Team

  4. Average Classification Accuracy= 91.31% • Maximum Accuracy = 92.48% • Average Time = 8.7347 • Accuracy of Shuffled Dataset = 88.66% Beta Team

  5. Average Classification Accuracy= 84.17% • Maximum Accuracy = 86.92% • Average Time = 20.1597 • Accuracy of Shuffled Dataset = 84.17% Gamma Team

  6. Average Classification Accuracy= 89.26% • Maximum Accuracy = 90.45% • Average Time = 0.5199 • Didn’t work on Shuffled datasets Delta Team

  7. Average Classification Accuracy = 86.92% • Maximum Accuracy = 88.05 • Average Time = 4.9691 • Accuracy of Shuffled Dataset = 86.92 % Epsilon Team

  8. Average Classification Accuracy = 85.32% • Maximum Accuracy = 87.52 • Average Time = 0.1515 • Didn’t work on Shuffled datasets Zeta Team

  9. The highest average accuracy is 91.31% • The winner is : Beta team!! Winner Team

  10. Alpha: Bernardo F. Juncal, An Dang, Feipeng Zhao • Beta: Chi Zhang, Kier Heilman, Cao Yuan • Gamma: AnjanNepal, Peiyi Li, Liya Ma • Delta: Howard Liu, Motaz Al-Hami, SemirElezovikj • Epsilon : David Dobor, LakeshKansakar, Tiffany Nguyen • Zeta: Jesse Glass, Joseph Catrambone, Jeff Newell Participated Teams

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