Table 2.
Group | Classifiers | Statistical Evaluation | Accuracy | Geometric Mean | Precision | Recall |
---|---|---|---|---|---|---|
DT | Tree Fine | Max | 86.90 | 87.00 | 86.97 | 87.06 |
Mean | 83.57 | 83.64 | 83.68 | 83.81 | ||
Min | 80.23 | 80.24 | 80.30 | 80.54 | ||
Std | 1.40 | 1.41 | 1.40 | 1.38 | ||
Tree Medium | Max | 86.90 | 86.98 | 86.94 | 87.16 | |
Mean | 83.56 | 83.63 | 83.67 | 83.80 | ||
Min | 80.46 | 80.46 | 80.70 | 80.74 | ||
Std | 1.39 | 1.40 | 1.38 | 1.38 | ||
LD | LD | Max | 82.30 | 82.12 | 82.46 | 82.86 |
Mean | 79.11 | 78.80 | 79.14 | 79.69 | ||
Min | 76.55 | 76.18 | 76.57 | 77.04 | ||
Std | 1.34 | 1.40 | 1.35 | 1.32 | ||
SVM | Cubic | Max | 97.01 | 97.06 | 97.11 | 97.09 |
Mean | 96.23 | 96.29 | 96.37 | 96.32 | ||
Min | 95.17 | 95.22 | 95.34 | 95.26 | ||
Std | 0.42 | 0.43 | 0.40 | 0.43 | ||
Quadratic | Max | 96.78 | 96.83 | 96.90 | 96.86 | |
Mean | 95.84 | 95.90 | 96.00 | 95.94 | ||
Min | 94.94 | 94.96 | 95.13 | 94.99 | ||
Std | 0.38 | 0.38 | 0.36 | 0.38 | ||
Gaussian | Max | 96.32 | 96.39 | 96.44 | 96.42 | |
Mean | 95.37 | 95.46 | 95.50 | 95.50 | ||
Min | 94.02 | 94.09 | 94.15 | 94.15 | ||
Std | 0.44 | 0.44 | 0.43 | 0.43 | ||
Linear | Max | 95.40 | 95.48 | 95.57 | 95.53 | |
Mean | 94.75 | 94.83 | 94.93 | 94.89 | ||
Min | 94.02 | 94.09 | 94.29 | 94.15 | ||
Std | 0.31 | 0.31 | 0.30 | 0.31 | ||
k-NN | Fine | Max | 96.09 | 96.16 | 96.29 | 96.20 |
Mean | 95.19 | 95.24 | 95.42 | 95.28 | ||
Min | 93.10 | 93.12 | 93.51 | 93.14 | ||
Std | 0.59 | 0.60 | 0.55 | 0.60 | ||
Medium | Max | 93.33 | 93.39 | 93.68 | 93.41 | |
Mean | 92.25 | 92.27 | 92.69 | 92.29 | ||
Min | 91.03 | 91.05 | 91.45 | 91.09 | ||
Std | 0.42 | 0.43 | 0.40 | 0.43 | ||
Coarse | Max | 87.13 | 86.92 | 88.02 | 87.06 | |
Mean | 85.84 | 85.54 | 86.79 | 85.75 | ||
Min | 84.83 | 84.44 | 85.82 | 84.69 | ||
Std | 0.50 | 0.52 | 0.47 | 0.51 | ||
Cosine | Max | 92.64 | 92.73 | 92.81 | 92.81 | |
Mean | 91.70 | 91.77 | 91.80 | 91.89 | ||
Min | 90.34 | 90.42 | 90.42 | 90.54 | ||
Std | 0.48 | 0.48 | 0.48 | 0.47 | ||
Cubic | Max | 92.87 | 92.87 | 93.31 | 92.89 | |
Mean | 91.79 | 91.74 | 92.34 | 91.76 | ||
Min | 90.57 | 90.49 | 91.14 | 90.52 | ||
Std | 0.45 | 0.46 | 0.41 | 0.45 | ||
Weighted | Max | 95.86 | 95.92 | 96.05 | 95.95 | |
Mean | 94.78 | 94.85 | 95.01 | 94.90 | ||
Min | 93.79 | 93.81 | 94.09 | 93.85 | ||
Std | 0.44 | 0.44 | 0.41 | 0.44 | ||
Ensemble | Bagged Tree | Max | 93.10 | 93.21 | 93.12 | 93.31 |
Mean | 90.92 | 91.02 | 90.98 | 91.14 | ||
Min | 88.74 | 88.83 | 88.74 | 88.99 | ||
Std | 0.90 | 0.90 | 0.89 | 0.89 | ||
Subspace Discriminant | Max | 91.95 | 92.06 | 92.11 | 92.22 | |
Mean | 89.87 | 89.94 | 90.03 | 90.18 | ||
Min | 87.36 | 87.42 | 87.63 | 87.70 | ||
Std | 1.08 | 1.09 | 1.06 | 1.05 | ||
Subspace kNN | Max | 96.55 | 96.59 | 96.73 | 96.62 | |
Mean | 95.58 | 95.62 | 95.79 | 95.66 | ||
Min | 94.25 | 94.22 | 94.43 | 94.25 | ||
Std | 0.52 | 0.53 | 0.50 | 0.52 |