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\ p None B a = c @ = Z ?N*8 X" 1 Arial1 Arial1 Arial1 Arial1 Arial1 Arial1 Arial General ` p Table 4 Y E Model Loss R2 Pearson Correlation Residual Correlation
Linear GAM RMSE 0.31 0.23 0.66 0.11 0.84 0.08 ( "0 . 3 6 t o 0 . 5 1 ) (0.48 to 0.84) MAE 0.29 0.30 0.77 0.09 ( "0 . 5 8 t o 0 . 5 6 ) Segmentation Regression 0.44 0.17 0.69 0.12 0.73 0.08 (0.08 to 0.66) (0.44 to 0.85) 0.39 0.24 0.57 0.09 ( "0 . 1 2 t o 0 . 7 0 ) (0.43 to 0.84) Segmentation Regression+ 0.55 ± 0.05 0.79 0.03 0.58 0.09 (0.50 to 0.62) (0.75 to 0.83) 0.52 0.07 0.46 ± 0.13 (0.43 to 0.61) (0.75 to 0.82)
Markov-GAM 0.35 0.22 0.68 0.12 0.82 0.08 ( "0 . 2 6 t o 0 . 5 9 ) (0.45 to 0.86) 0.31 0.29 0.67 0.11 0.70 0.10 ( "0 . 4 8 t o 0 . 6 1 ) (0.45 to 0.84)
Markov GAM 0.36 0.26 0.76 0.08 ( "0 . 4 1 t o 0 . 6 1 ) (0.38 to 0.84) 0.36 0.29 ( "0 . 4 7 t o 0 . 6 6 ) (0.42 to 0.85) Markov GAM+ 0.54 0.07 0.79 0.06 0.57 0.14 (0.49 to 0.64) (0.72 to 0.86) 0.80 ± 0.06 0.50 0.18 (0.49 to 0.66) (0.73 to 0.87) Cellularity Feature - 0.60 (CI: 0.59 to 0.62)
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