Table 7- 1. Classification results in R/WEKA without using sliced inverse regression and without using leave-one-out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
86
Table 7-2. Predicted results in R/WEKA without using sliced inverse regression and using leave-one-out cross-validation to evaluate correctness.
(take log + skeleton)
38
Table 7-3. Classification results in R/WEKA using sliced inverse regression and without using
(take log + skeleton)
113
Table 7-4. Predicted results in R/WEKA using sliced inverse regression and using leave-one -out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
30
Table 7-5. Classification results added red channel in R/WEKA and without using sliced inverse regression and without using leave-one-out cross-validation to evaluate correctness.
(take log + skeleton)
92
Table 7-6. Predicted results added red channel in R/WEKA and without using sliced inverse regression and using leave-one-out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
42
Table 7-7. Classification results added red channel in R/WEKA and using sliced inverse regression and without using leave-one-out cross-validation to evaluate correct- ness.
(take log + skeleton)
113
Table 7-8. Predicted results added red channel in R/WEKA and using sliced inverse regression and using leave-one-out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
34
Table 7-9. Classification results on combined groups in R/WEKA without using sliced inverse regression and without using leave-one-out cross-validation to evaluate correct- ness.
(take log + skeleton)
97
Table 7-10. Predicted results on combined groups in R/WEKA without using sliced inverse regression and using leave-one-out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
73
Table 7-11. Classification results on combined groups in R/WEKA using sliced inverse regression and without using leave-one-out cross-validation to evaluate correct- ness.
(take log + skeleton)
113
Table 7-12. Predicted results on combined groups in R/WEKA using sliced inverse regression and using leave-one -out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
32
Table 7-13. Classification results on combined groups added red channel in R/WEKA and without using sliced inverse regression and without using leave-one-out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
97
Table 7-14. Classification results on combined groups added red channel in R/WEKA and without using sliced inverse regression and using leave-one-out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
70
Table 7-15. Classification results on combined groups added red channel in R/WEKA and using sliced inverse regression and without using leave-one-out cross-validation to evaluate correctness.
SVM J48 IBk OneR
(take log + skeleton)
111 Table 7-16. Classification results on combined groups added red channel in R/WEKA and
using sliced inverse regression and using leave-one-out cross-validation to evaluate correctness.
(take log + skeleton)
49
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