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Statistical Significance Test (s-test). The null hypothesis is that the performance of two methods is the same; the alternative hypothesis is that the former is better than the latter. |
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| String Vs. Unigram+Bigram |
TF*ML Vs. TF*IDF |
KeyBT Template Vs. Unigram+Bigram |
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|
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| p value |
0.015 |
0.012 |
0.0188 |
|
|
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| Feature Level Integration Vs. Unigram+Bigram |
Classifier Level Integration Vs. Unigram+Bigram |
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|
|
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| p value |
0.0026 |
0.0010 |
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Wang et al. BMC Bioinformatics 2008 9(Suppl 3):S4 doi:10.1186/1471-2105-9-S3-S4 |
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