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Table 1 Test results for accuracy and time required

From: Determining threshold value on information gain feature selection to increase speed and prediction accuracy of random forest

Dataset CBFS Best First Threshold 0,05 Treshold based on Standard Deviation CBFS Best First (FFT) Threshold 0.05 (FFT) Treshold based on Standard Deviation (FFT) Treshold based on Standard Deviation – FFT Fitur with Imaginary Treshold based on Standard Deviation – FFT Fitur without Imaginary
Accuracy Time Accuracy Time Accuracy Time Accuracy Time Accuracy Time Accuracy Time Accuracy Time Accuracy Time
EEG Eye 77.01% 4.17 63.16% 5.31 90.15% 4.91 77.17% 7.31 72.06% 4.96 90.14% 9.41 62.32% 0.82 62.32% 0.82
Cancer 95.79% 0.08 96.63% 0.09 94.39% 0.07 95.68% 0.08 96.68% 0.10 94.41% 0.08 92.55% 0.05 87.94% 0.02
Contraceptive Method 48.74% 0.25 48.74% 0.25 51.64% 0.25 51.74% 0.35 50.90% 0.21 51.74% 0.27 45.41% 0.08 48.06% 0.05
Dermatology 94.92% 0.07 97.05% 0.05 97.43% 0.04 97.70% 0.07 97.35% 0.07 97.40% 0.07 54.29% 0.02 50.27% 0.01
Divorce 96.53% 0.03 97.65% 0.03 97.65% 0.02 96.65% 0.02 97.71% 0.02 97.65% 0.03 96.47% 0.01 97.00% 0.01
Electrical Grid 100.00% 0.91 100.00% 0.52 100.00% 0.17 85.64% 5.06 76.73% 2.57 80.85% 3.44 100% 1.22 100% 1.22
CNAE-9 81.18% 0.27 87.56% 0.51 88.05% 0.58 81.16% 0.27 90.69% 0.76 90.49% 0.91 21.84% 0.40 76.66% 0.31
Urban Land Cover 87.68% 0.06 85.71% 0.09 84.76% 0.07 87.62% 0.04 85.89% 0.07 84.64% 0.05 29.17% 0.04 56.01% 0.05
Epilepsy 69.48% 15.72 69.60% 26.91 69.60% 26.91 69.51% 21.52 69.73% 27.93 69.73% 27.93 32.46% 0.90 32.46% 0.86
SCADI 84.14% 0.02 83.43% 0.03 83.86% 0.01 85.86% 0.02 85.00% 0.02 85.00% 0.02 41.43% 0.01 61.43% 0.01