Research Article

A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis

Table 7

Performance analysis of ovarian dataset using sym2 with variations in window sizes and levels.

ClassifierWindow sizeClassification accuracy (%)
Level 1Level 2Level 3Level 4Level 5Level 6Level 7Level 8

KNN6491.3197.2891.3691.040.000.000.000.00
12894.0887.9987.6670.9285.490.000.000.00
25688.6473.0582.5071.8467.4380.610.000.00
51284.6253.8574.5064.0765.9862.6172.880.00
102468.3169.6265.8160.7578.2765.2157.2361.96

Bayes6489.3596.2090.9891.690.000.000.000.00
12880.0782.7888.3293.1089.950.000.000.00
25682.4583.9183.5379.0887.5484.790.000.00
51283.7680.4782.8374.6778.9673.7475.000.00
102471.7369.3679.9563.8584.4170.8269.0367.77

SVM6490.0093.7592.7283.650.000.000.000.00
12885.0190.6086.0395.5490.330.000.000.00
25680.8283.3388.9781.7486.6878.310.000.00
51272.5282.9876.6370.8276.3677.9873.040.00
102461.2060.3180.3569.1281.8667.2260.4962.17

Hybrid6498.81100.0095.2698.810.000.000.000.00
12899.2195.6598.8196.4494.470.000.000.00
25699.2194.4789.3387.3591.3093.680.000.00
51296.8486.9692.0987.7588.1481.8285.770.00
102484.9884.9885.3872.7389.7279.4581.0384.98