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. 2021 May 19;11(5):161. doi: 10.3390/bios11050161

Table 3.

Classification results with LE method for dimensionality reduction.

ECG Original Centred LE 2 LE 3 LE 4 LE 5 LE 7 LE 9 LE 10 LE 15 LE 20 LE 25
Fine Tree 83.4 76.2 77.3 80.4 80.4 82.9 83.7 82.8 85.8 86.5 86.7
Medium Tree 71.3 71.5 68.8 72.7 72.4 74.9 75 75.1 78.9 80.1 79.6
Coarse Tree 42.8 45.6 45.6 52.5 52.5 50.9 51.2 51.3 51.8 51.6 50.6
Linear Discriminant 76.3 34.7 38.8 34.7 40.3 57.8 61.1 60.3 72.1 76.2 77.4
Quadratic Discriminant 70 47.3 54.5 58.3 60.1 69 72.2 73 78.1 82.1 84.2
Naive Bayes 47.6 37.6 38.3 39.8 39.5 57 57.1 60.9 71.4 73.7 74.3
Kernel Naive Bayes 62.5 70.3 69.9 70.8 71.5 74.9 73.6 74 77.3 79.5 81.7
Linear SVM 87.3 49 61.3 67.3 70.2 75.3 76.9 77.5 79.1 83.7 85.6
Quadratic SVM 95.1 43.9 59.9 76.2 79 86.1 87.6 87.3 87.7 89 90.5
Cubic SVM 95.2 26.1 33 52.5 64.2 87.9 90.1 89.7 89.6 90.4 91.2
Fine Gaussian SVM 87.4 75.3 78.7 81.1 82 85.2 85.9 86.5 88.6 90.4 90.6
Medium Gaussian SVM 92.9 67.9 69.8 73.4 75.4 78.3 78.6 79.5 82.8 86.6 87.1
Coarse Gaussian SVM 79.4 54.3 55.4 61.2 66.2 69.2 72.1 72.5 76.6 80.1 80.9
Fine KNN 93.4 79.9 83.3 85.7 86.2 86.2 87.2 87.1 88.1 88.9 89.8
Medium KNN 90.2 80.7 83.9 85 85.5 86.8 87 86.3 87.4 88.9 89.6
Coarse KNN 77.6 74 75.3 75.3 77.1 79 78.6 78.5 78.3 80.6 80.1
Cosine KNN 90.5 61.2 81.4 83.8 85.9 86.9 86.7 86.9 87.6 88.9 89.5
Cubic KNN 90.2 80.8 83.9 84.7 85.5 86.8 86.8 86.1 87.4 89 89.7
Weighted KNN 91.4 81.5 84.8 86.6 86.9 87.4 88.1 87.8 89.1 89.9 90.3
Ensemble Boosted Trees 78.3 72.6 70.1 75.5 76 78.3 79.2 79.9 81.4 82.2 82.4
Ensemble Bagged Trees 91.8 80 83.9 86.2 86.6 88.2 88.6 88.7 89.9 90.9 90.9
Ensemble Subspace Discriminant 76.2 35 38.9 34.7 40.2 59.2 61.9 60.5 72.2 75.9 76.9
Ensemble Subspace KNN 94.7 51.2 80.8 83.2 86.1 86.9 87.6 87.8 88.7 89.6 89.9
Ensemble RUSBoosted Trees 71.5 71.5 68.8 72.7 72.4 74.9 75 75.1 79 80.1 79.6