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From
Modeling Students’ Procrastination Using Gaussian – Bernoulli Mixed Naïve Bayes Method
Shara M. Baylin, Laila S. Lomibao
Journal of Innovations in Teaching and Learning
.
2024
, 4(1), 7-12 doi:10.12691/jitl-4-1-2
Table 1. The Confusion Matrix Analysis
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Table 2. Clustering Results of Students’ Procrastination Tendencies
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Table 3. Result of the Feature Selection Process
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Table 4. Performance Results of the Different Models
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Table 5. The Confusion Matrix Analysis of the Best Model Generated
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Table 6. The Sensitivity and Specificity of Each Class in the Best Model Generated
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