Table 2.
The table shows the p-values corresponding to the parameters in the final multivariate regression model obtained from backwards elimination approach using SPSS. The Beta column represents the coefficients estimate of each of these parameters in the model.
| S.No | Attribute Name | p-value | Beta |
|---|---|---|---|
| 1 | Keyword Normalization | 0.056 | No = −0.044 |
| Yes = 0 [ref] | |||
| 2 | Entrez Gene | 0.071 | No = 0.041 |
| Yes = 0 [ref] | |||
| 3 | Retrieval Unit | 0.002 | Document = −0.167 |
| Legal-span = −0.056 | |||
| Sentence = −0.208 | |||
| Trimmed-paragraphs = 0[ref] | |||
| 4 | Passage Definition | 0.032 | HMMs based estimate = 0.009 |
| Legal-span = 0.068 | |||
| Minimal-interval-semantics = 0.072 | |||
| Sentence = 0.115 | |||
| Trimmed- paragraphs = 0 [ref] |