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Table 2 Preliminary results of different feature descriptors using different classifiers

From: iTTCA-RF: a random forest predictor for tumor T cell antigens

Features Classifier (BACC%)
LR Bagging RF AB GBM SVM
GPSD 63.09 68.51 69.62 67.51 65.60 65.81
ASDC 58.53 63.13 66.88 62.96 64.03 64.51
GAAPC 58.91 66.75 67.71 64.44 67.56 61.75
PAAC 66.01 61.79 62.45 62.68 62.34 67.91
GPSD_Ba 67.12 75.23 79.62 73.54 76.91 76.13
ASDC_Ba 69.50 72.77 79.19 71.90 77.02 77.89
GAAPC_Ba 66.33 75.51 79.14 73.02 78.34 74.94
PAAC_Ba 66.63 71.77 77.46 69.91 74.29 73.09
  1. The best performance value is highlighted in bold for clarification
  2. aSMOTE-Tomek technique was applied to balance the data set