Research Article

Missing Value Estimation Methods Research for Arrhythmia Classification Using the Modified Kernel Difference-Weighted KNN Algorithms

Table 2

Comparison of the classification accuracy (%) achieved w.r.t. the imputation methods and classifiers.

Proportion0.3%10%20%30%40%50%60%70%

KNNX059.0755.7554.6554.8753.9854.2053.9854.42
MEAN58.1957.0855.5355.7554.4253.9853.7654.65
PCA58.1957.9655.5356.1954.6554.6553.7653.76
RPCA58.8557.5256.8657.3055.0954.4254.4255.09

DS-WKNNX060.8459.9655.7554.4252.8853.7652.4351.99
MEAN61.5059.2958.1956.4255.3154.2053.5453.32
PCA61.0660.1858.4158.6355.3155.3153.3250.88
RPCA59.9658.6358.6359.2954.2055.5357.0854.42

DF-WKNNX070.5866.1563.2759.7358.8556.8656.1954.20
MEAN71.9069.0368.1465.4961.7359.2959.2956.19
PCA70.3569.0366.5965.4961.2861.2855.5350.44
RPCA70.8067.9265.9365.4962.1761.0660.4057.08

KDF-WKNNX070.3566.1563.2760.1858.1956.8656.1954.65
MEAN71.6869.0367.9265.7161.7359.2959.2956.19
PCA70.5868.8167.0465.9361.5061.5055.0951.77
RPCA70.8067.7065.9364.6061.9561.7360.1856.86

MKDF-WKNNX071.9067.0463.7259.9660.1858.8557.3053.98
MEAN73.0170.5868.1466.3762.1758.4159.5154.87
PCA71.6869.9169.0366.3760.6260.6255.5349.56
RPCA71.9070.5867.7066.1564.3860.8461.2856.42