Analysis of Changes Depend on Use Cases

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Predicti<strong>on</strong> Model14# Model M4 M3 M2 M1Sample size (use cases) 221 497 807 1110w 1w 2w 0Likelihoodvalue 4.065 3.683 3.811 4.769p-value 0.011 0 0 0value -0.489 -0.247 -0.964 -1.138p-value 0.904 0.734 0.138 0.013value -1.867 -1.715 -1.965 -2.144p-value 0 0 0 0p-value 0.017 0 0 0Ratio 8.131 21.161 23.784 43.994
Predicti<strong>on</strong> Model15# Model M4 M3 M2 M1Sample size (use cases) 221 497 807 1110w 1w 2w 0Likelihoodvalue 4.065 3.683 3.811 4.769p-value 0.011 0 0 0value -0.489 -0.247 -0.964 -1.138p-value 0.904 0.734 0.138 0.013value -1.867 -1.715 -1.965 -2.144p-value 0 0 0 0p-value 0.017 0 0 0Ratio 8.131 21.161 23.784 43.994
Page 1 and 2: A PREDICTION MODEL FORREQUIREMENTS
Page 3 and 4: Intuitions3 Requirements which are
Page 5 and 6: Example5Requirements12345Change His
Page 7 and 8: Prediction Approach7 Logistic Regre
Page 9 and 10: Overview of Approa
Page 11 and 12: Data Collection11 added = 2, modifi
Page 13: Data13 To investigate the performan
Page 17 and 18: Evaluation - Classification tables1
Page 19 and 20: Percentage Correct19100.00%90.00%80
Page 21 and 22: Feedback from the Company21 Action
Page 23 and 24: 23Thank you!

Analysis of Changes Depend on Use Cases

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