Scenario 2 — Superconduct =============================== Loading dataset (superconduct.csv)... Done: 21263 samples, 81 features + 1 target Splitting dataset into Train/Val/Test [0.6/0.2/0.2] ... Done: Train=12758, Val=4253, Test=4252 Preprocessing (Min–Max scaling to [0,1]) ... Done (mode = minmax) Starting 4×4 grid-search (5 folds per point)... Combo: features= 5 | radius=0.25 ... Fold 1/5 ... ANFIS info: Number of nodes: 236 Number of linear parameters: 114 Number of nonlinear parameters: 190 Total number of parameters: 304 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 19 Minimal training RMSE = 15.7836 Minimal checking RMSE = 16.9268 Done (val err=16.93, rules=19) Fold 2/5 ... ANFIS info: Number of nodes: 200 Number of linear parameters: 96 Number of nonlinear parameters: 160 Total number of parameters: 256 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 16 Minimal training RMSE = 15.8171 Minimal checking RMSE = 16.3645 Done (val err=16.36, rules=16) Fold 3/5 ... ANFIS info: Number of nodes: 236 Number of linear parameters: 114 Number of nonlinear parameters: 190 Total number of parameters: 304 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 19 Minimal training RMSE = 16.13 Minimal checking RMSE = 15.7719 Done (val err=15.77, rules=19) Fold 4/5 ... ANFIS info: Number of nodes: 236 Number of linear parameters: 114 Number of nonlinear parameters: 190 Total number of parameters: 304 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 19 Minimal training RMSE = 16.5322 Minimal checking RMSE = 17.6514 Done (val err=17.65, rules=19) Fold 5/5 ... ANFIS info: Number of nodes: 272 Number of linear parameters: 132 Number of nonlinear parameters: 220 Total number of parameters: 352 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 22 Minimal training RMSE = 14.9743 Minimal checking RMSE = 16.4571 Done (val err=16.46, rules=22) Mean CV error=16.63 | Mean rules=19 Combo: features= 5 | radius=0.50 ... Fold 1/5 ... ANFIS info: Number of nodes: 92 Number of linear parameters: 42 Number of nonlinear parameters: 70 Total number of parameters: 112 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 7 Minimal training RMSE = 17.9256 Minimal checking RMSE = 18.1179 Done (val err=18.12, rules=7) Fold 2/5 ... ANFIS info: Number of nodes: 80 Number of linear parameters: 36 Number of nonlinear parameters: 60 Total number of parameters: 96 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 6 Minimal training RMSE = 17.6373 Minimal checking RMSE = 17.7761 Done (val err=17.78, rules=6) Fold 3/5 ... ANFIS info: Number of nodes: 92 Number of linear parameters: 42 Number of nonlinear parameters: 70 Total number of parameters: 112 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 7 Minimal training RMSE = 18.0589 Minimal checking RMSE = 17.5949 Done (val err=17.59, rules=7) Fold 4/5 ... ANFIS info: Number of nodes: 80 Number of linear parameters: 36 Number of nonlinear parameters: 60 Total number of parameters: 96 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 6 Minimal training RMSE = 18.2378 Minimal checking RMSE = 18.8867 Done (val err=18.89, rules=6) Fold 5/5 ... ANFIS info: Number of nodes: 92 Number of linear parameters: 42 Number of nonlinear parameters: 70 Total number of parameters: 112 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 7 Minimal training RMSE = 17.3576 Minimal checking RMSE = 18.1061 Done (val err=18.11, rules=7) Mean CV error=18.1 | Mean rules=7 Combo: features= 5 | radius=0.75 ... Fold 1/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 19.9419 Minimal checking RMSE = 20.0512 Done (val err=20.05, rules=2) Fold 2/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 20.1088 Minimal checking RMSE = 19.8173 Done (val err=19.82, rules=2) Fold 3/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 20.0146 Minimal checking RMSE = 19.2656 Done (val err=19.27, rules=2) Fold 4/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 19.1462 Minimal checking RMSE = 19.5171 Done (val err=19.52, rules=2) Fold 5/5 ... ANFIS info: Number of nodes: 44 Number of linear parameters: 18 Number of nonlinear parameters: 30 Total number of parameters: 48 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 3 Minimal training RMSE = 18.3565 Minimal checking RMSE = 18.9357 Done (val err=18.94, rules=3) Mean CV error=19.52 | Mean rules=2 Combo: features= 5 | radius=1.00 ... Fold 1/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 20.4669 Minimal checking RMSE = 20.6894 Done (val err=20.69, rules=2) Fold 2/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 19.8095 Minimal checking RMSE = 19.9228 Done (val err=19.92, rules=2) Fold 3/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 20.7212 Minimal checking RMSE = 19.7373 Done (val err=19.74, rules=2) Fold 4/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 19.1987 Minimal checking RMSE = 19.5712 Done (val err=19.57, rules=2) Fold 5/5 ... ANFIS info: Number of nodes: 32 Number of linear parameters: 12 Number of nonlinear parameters: 20 Total number of parameters: 32 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 18.6435 Minimal checking RMSE = 19.178 Done (val err=19.18, rules=2) Mean CV error=19.82 | Mean rules=2 Combo: features= 8 | radius=0.25 ... Fold 1/5 ... ANFIS info: Number of nodes: 281 Number of linear parameters: 135 Number of nonlinear parameters: 240 Total number of parameters: 375 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 15 Minimal training RMSE = 15.298 Minimal checking RMSE = 16.3193 Done (val err=16.32, rules=15) Fold 2/5 ... ANFIS info: Number of nodes: 245 Number of linear parameters: 117 Number of nonlinear parameters: 208 Total number of parameters: 325 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 13 Minimal training RMSE = 14.7955 Minimal checking RMSE = 14.9195 Done (val err=14.92, rules=13) Fold 3/5 ... ANFIS info: Number of nodes: 245 Number of linear parameters: 117 Number of nonlinear parameters: 208 Total number of parameters: 325 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 13 Minimal training RMSE = 15.6424 Minimal checking RMSE = 16.2224 Done (val err=16.22, rules=13) Fold 4/5 ... ANFIS info: Number of nodes: 245 Number of linear parameters: 117 Number of nonlinear parameters: 208 Total number of parameters: 325 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 13 Minimal training RMSE = 15.4958 Minimal checking RMSE = 16.5262 Done (val err=16.53, rules=13) Fold 5/5 ... ANFIS info: Number of nodes: 353 Number of linear parameters: 171 Number of nonlinear parameters: 304 Total number of parameters: 475 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 19 Minimal training RMSE = 14.2437 Minimal checking RMSE = 16.5257 Done (val err=16.53, rules=19) Mean CV error=16.1 | Mean rules=15 Combo: features= 8 | radius=0.50 ... Fold 1/5 ... ANFIS info: Number of nodes: 119 Number of linear parameters: 54 Number of nonlinear parameters: 96 Total number of parameters: 150 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 6 Minimal training RMSE = 17.896 Minimal checking RMSE = 18.1968 Done (val err=18.2, rules=6) Fold 2/5 ... ANFIS info: Number of nodes: 119 Number of linear parameters: 54 Number of nonlinear parameters: 96 Total number of parameters: 150 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 6 Minimal training RMSE = 16.3278 Minimal checking RMSE = 16.4278 Done (val err=16.43, rules=6) Fold 3/5 ... ANFIS info: Number of nodes: 119 Number of linear parameters: 54 Number of nonlinear parameters: 96 Total number of parameters: 150 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 6 Minimal training RMSE = 17.7274 Minimal checking RMSE = 17.4127 Done (val err=17.41, rules=6) Fold 4/5 ... ANFIS info: Number of nodes: 119 Number of linear parameters: 54 Number of nonlinear parameters: 96 Total number of parameters: 150 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 6 Minimal training RMSE = 17.2612 Minimal checking RMSE = 17.9865 Done (val err=17.99, rules=6) Fold 5/5 ... ANFIS info: Number of nodes: 155 Number of linear parameters: 72 Number of nonlinear parameters: 128 Total number of parameters: 200 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 8 Minimal training RMSE = 15.7811 Minimal checking RMSE = 17.1552 Done (val err=17.16, rules=8) Mean CV error=17.44 | Mean rules=6 Combo: features= 8 | radius=0.75 ... Fold 1/5 ... ANFIS info: Number of nodes: 47 Number of linear parameters: 18 Number of nonlinear parameters: 32 Total number of parameters: 50 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 19.4034 Minimal checking RMSE = 19.5553 Done (val err=19.56, rules=2) Fold 2/5 ... ANFIS info: Number of nodes: 83 Number of linear parameters: 36 Number of nonlinear parameters: 64 Total number of parameters: 100 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 4 Minimal training RMSE = 17.0755 Minimal checking RMSE = 16.8688 Done (val err=16.87, rules=4) Fold 3/5 ... ANFIS info: Number of nodes: 65 Number of linear parameters: 27 Number of nonlinear parameters: 48 Total number of parameters: 75 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 3 Minimal training RMSE = 18.6173 Minimal checking RMSE = 17.8697 Done (val err=17.87, rules=3) Fold 4/5 ... ANFIS info: Number of nodes: 65 Number of linear parameters: 27 Number of nonlinear parameters: 48 Total number of parameters: 75 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 3 Minimal training RMSE = 18.83 Minimal checking RMSE = 19.202 Done (val err=19.2, rules=3) Fold 5/5 ... ANFIS info: Number of nodes: 65 Number of linear parameters: 27 Number of nonlinear parameters: 48 Total number of parameters: 75 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 3 Minimal training RMSE = 17.5332 Minimal checking RMSE = 18.2577 Done (val err=18.26, rules=3) Mean CV error=18.35 | Mean rules=3 Combo: features= 8 | radius=1.00 ... Fold 1/5 ... ANFIS info: Number of nodes: 47 Number of linear parameters: 18 Number of nonlinear parameters: 32 Total number of parameters: 50 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 19.5283 Minimal checking RMSE = 19.5691 Done (val err=19.57, rules=2) Fold 2/5 ... ANFIS info: Number of nodes: 47 Number of linear parameters: 18 Number of nonlinear parameters: 32 Total number of parameters: 50 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 19.2033 Minimal checking RMSE = 19.1913 Done (val err=19.19, rules=2) Fold 3/5 ... ANFIS info: Number of nodes: 47 Number of linear parameters: 18 Number of nonlinear parameters: 32 Total number of parameters: 50 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 19.1993 Minimal checking RMSE = 18.4481 Done (val err=18.45, rules=2) Fold 4/5 ... ANFIS info: Number of nodes: 47 Number of linear parameters: 18 Number of nonlinear parameters: 32 Total number of parameters: 50 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 18.9938 Minimal checking RMSE = 19.3295 Done (val err=19.33, rules=2) Fold 5/5 ... ANFIS info: Number of nodes: 47 Number of linear parameters: 18 Number of nonlinear parameters: 32 Total number of parameters: 50 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 17.9908 Minimal checking RMSE = 18.5687 Done (val err=18.57, rules=2) Mean CV error=19.02 | Mean rules=2 Combo: features=11 | radius=0.25 ... Fold 1/5 ... ANFIS info: Number of nodes: 446 Number of linear parameters: 216 Number of nonlinear parameters: 396 Total number of parameters: 612 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 18 Minimal training RMSE = 13.7504 Minimal checking RMSE = 15.2325 Done (val err=15.23, rules=18) Fold 2/5 ... ANFIS info: Number of nodes: 254 Number of linear parameters: 120 Number of nonlinear parameters: 220 Total number of parameters: 340 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 10 Minimal training RMSE = 14.3238 Minimal checking RMSE = 14.6324 Done (val err=14.63, rules=10) Fold 3/5 ... ANFIS info: Number of nodes: 302 Number of linear parameters: 144 Number of nonlinear parameters: 264 Total number of parameters: 408 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 12 Minimal training RMSE = 14.3775 Minimal checking RMSE = 14.6128 Done (val err=14.61, rules=12) Fold 4/5 ... ANFIS info: Number of nodes: 350 Number of linear parameters: 168 Number of nonlinear parameters: 308 Total number of parameters: 476 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 14 Minimal training RMSE = 14.4699 Minimal checking RMSE = 15.743 Done (val err=15.74, rules=14) Fold 5/5 ... ANFIS info: Number of nodes: 518 Number of linear parameters: 252 Number of nonlinear parameters: 462 Total number of parameters: 714 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 21 Minimal training RMSE = 13.0901 Minimal checking RMSE = 15.7968 Done (val err=15.8, rules=21) Mean CV error=15.2 | Mean rules=15 Combo: features=11 | radius=0.50 ... Fold 1/5 ... ANFIS info: Number of nodes: 182 Number of linear parameters: 84 Number of nonlinear parameters: 154 Total number of parameters: 238 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 7 Minimal training RMSE = 15.7456 Minimal checking RMSE = 16.1886 Done (val err=16.19, rules=7) Fold 2/5 ... ANFIS info: Number of nodes: 134 Number of linear parameters: 60 Number of nonlinear parameters: 110 Total number of parameters: 170 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 5 Minimal training RMSE = 16.0329 Minimal checking RMSE = 15.9401 Done (val err=15.94, rules=5) Fold 3/5 ... ANFIS info: Number of nodes: 158 Number of linear parameters: 72 Number of nonlinear parameters: 132 Total number of parameters: 204 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 6 Minimal training RMSE = 15.9401 Minimal checking RMSE = 15.4687 Done (val err=15.47, rules=6) Fold 4/5 ... ANFIS info: Number of nodes: 158 Number of linear parameters: 72 Number of nonlinear parameters: 132 Total number of parameters: 204 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 6 Minimal training RMSE = 15.9801 Minimal checking RMSE = 16.4583 Done (val err=16.46, rules=6) Fold 5/5 ... ANFIS info: Number of nodes: 230 Number of linear parameters: 108 Number of nonlinear parameters: 198 Total number of parameters: 306 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 9 Minimal training RMSE = 15.0653 Minimal checking RMSE = 17.0165 Done (val err=17.02, rules=9) Mean CV error=16.21 | Mean rules=7 Combo: features=11 | radius=0.75 ... Fold 1/5 ... ANFIS info: Number of nodes: 86 Number of linear parameters: 36 Number of nonlinear parameters: 66 Total number of parameters: 102 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 3 Minimal training RMSE = 17.3221 Minimal checking RMSE = 17.4577 Done (val err=17.46, rules=3) Fold 2/5 ... ANFIS info: Number of nodes: 110 Number of linear parameters: 48 Number of nonlinear parameters: 88 Total number of parameters: 136 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 4 Minimal training RMSE = 16.422 Minimal checking RMSE = 16.1376 Done (val err=16.14, rules=4) Fold 3/5 ... ANFIS info: Number of nodes: 86 Number of linear parameters: 36 Number of nonlinear parameters: 66 Total number of parameters: 102 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 3 Minimal training RMSE = 17.5334 Minimal checking RMSE = 16.7568 Done (val err=16.76, rules=3) Fold 4/5 ... ANFIS info: Number of nodes: 86 Number of linear parameters: 36 Number of nonlinear parameters: 66 Total number of parameters: 102 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 3 Minimal training RMSE = 17.2282 Minimal checking RMSE = 17.5204 Done (val err=17.52, rules=3) Fold 5/5 ... ANFIS info: Number of nodes: 134 Number of linear parameters: 60 Number of nonlinear parameters: 110 Total number of parameters: 170 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 5 Minimal training RMSE = 16.7974 Minimal checking RMSE = 17.6722 Done (val err=17.67, rules=5) Mean CV error=17.11 | Mean rules=4 Combo: features=11 | radius=1.00 ... Fold 1/5 ... ANFIS info: Number of nodes: 62 Number of linear parameters: 24 Number of nonlinear parameters: 44 Total number of parameters: 68 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 17.853 Minimal checking RMSE = 17.8974 Done (val err=17.9, rules=2) Fold 2/5 ... ANFIS info: Number of nodes: 86 Number of linear parameters: 36 Number of nonlinear parameters: 66 Total number of parameters: 102 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 3 Minimal training RMSE = 16.8036 Minimal checking RMSE = 16.7501 Done (val err=16.75, rules=3) Fold 3/5 ... ANFIS info: Number of nodes: 62 Number of linear parameters: 24 Number of nonlinear parameters: 44 Total number of parameters: 68 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 17.5991 Minimal checking RMSE = 16.8333 Done (val err=16.83, rules=2) Fold 4/5 ... ANFIS info: Number of nodes: 62 Number of linear parameters: 24 Number of nonlinear parameters: 44 Total number of parameters: 68 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 17.5433 Minimal checking RMSE = 17.8776 Done (val err=17.88, rules=2) Fold 5/5 ... ANFIS info: Number of nodes: 62 Number of linear parameters: 24 Number of nonlinear parameters: 44 Total number of parameters: 68 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 17.8157 Minimal checking RMSE = 18.436 Done (val err=18.44, rules=2) Mean CV error=17.56 | Mean rules=2 Combo: features=15 | radius=0.25 ... Fold 1/5 ... ANFIS info: Number of nodes: 530 Number of linear parameters: 256 Number of nonlinear parameters: 480 Total number of parameters: 736 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 16 Minimal training RMSE = 13.9086 Minimal checking RMSE = 16.0272 Done (val err=16.03, rules=16) Fold 2/5 ... ANFIS info: Number of nodes: 370 Number of linear parameters: 176 Number of nonlinear parameters: 330 Total number of parameters: 506 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 11 Minimal training RMSE = 13.8836 Minimal checking RMSE = 14.6699 Done (val err=14.67, rules=11) Fold 3/5 ... ANFIS info: Number of nodes: 338 Number of linear parameters: 160 Number of nonlinear parameters: 300 Total number of parameters: 460 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 10 Minimal training RMSE = 13.4554 Minimal checking RMSE = 13.9392 Done (val err=13.94, rules=10) Fold 4/5 ... ANFIS info: Number of nodes: 466 Number of linear parameters: 224 Number of nonlinear parameters: 420 Total number of parameters: 644 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 14 Minimal training RMSE = 13.9538 Minimal checking RMSE = 14.9999 Done (val err=15, rules=14) Fold 5/5 ... ANFIS info: Number of nodes: 594 Number of linear parameters: 288 Number of nonlinear parameters: 540 Total number of parameters: 828 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 18 Minimal training RMSE = 12.6612 Minimal checking RMSE = 15.832 Done (val err=15.83, rules=18) Mean CV error=15.09 | Mean rules=14 Combo: features=15 | radius=0.50 ... Fold 1/5 ... ANFIS info: Number of nodes: 274 Number of linear parameters: 128 Number of nonlinear parameters: 240 Total number of parameters: 368 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 8 Minimal training RMSE = 15.0209 Minimal checking RMSE = 15.4702 Done (val err=15.47, rules=8) Fold 2/5 ... ANFIS info: Number of nodes: 210 Number of linear parameters: 96 Number of nonlinear parameters: 180 Total number of parameters: 276 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 6 Minimal training RMSE = 14.5644 Minimal checking RMSE = 14.8088 Done (val err=14.81, rules=6) Fold 3/5 ... ANFIS info: Number of nodes: 178 Number of linear parameters: 80 Number of nonlinear parameters: 150 Total number of parameters: 230 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 5 Minimal training RMSE = 15.3896 Minimal checking RMSE = 14.7756 Done (val err=14.78, rules=5) Fold 4/5 ... ANFIS info: Number of nodes: 242 Number of linear parameters: 112 Number of nonlinear parameters: 210 Total number of parameters: 322 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 7 Minimal training RMSE = 15.0772 Minimal checking RMSE = 15.9323 Done (val err=15.93, rules=7) Fold 5/5 ... ANFIS info: Number of nodes: 274 Number of linear parameters: 128 Number of nonlinear parameters: 240 Total number of parameters: 368 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 8 Minimal training RMSE = 14.7794 Minimal checking RMSE = 16.3325 Done (val err=16.33, rules=8) Mean CV error=15.46 | Mean rules=7 Combo: features=15 | radius=0.75 ... Fold 1/5 ... ANFIS info: Number of nodes: 146 Number of linear parameters: 64 Number of nonlinear parameters: 120 Total number of parameters: 184 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 4 Minimal training RMSE = 16.8091 Minimal checking RMSE = 16.822 Done (val err=16.82, rules=4) Fold 2/5 ... ANFIS info: Number of nodes: 146 Number of linear parameters: 64 Number of nonlinear parameters: 120 Total number of parameters: 184 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 4 Minimal training RMSE = 15.8898 Minimal checking RMSE = 15.9417 Done (val err=15.94, rules=4) Fold 3/5 ... ANFIS info: Number of nodes: 146 Number of linear parameters: 64 Number of nonlinear parameters: 120 Total number of parameters: 184 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 4 Minimal training RMSE = 15.818 Minimal checking RMSE = 15.1979 Done (val err=15.2, rules=4) Fold 4/5 ... ANFIS info: Number of nodes: 178 Number of linear parameters: 80 Number of nonlinear parameters: 150 Total number of parameters: 230 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 5 Minimal training RMSE = 15.4317 Minimal checking RMSE = 16.0448 Done (val err=16.04, rules=5) Fold 5/5 ... ANFIS info: Number of nodes: 210 Number of linear parameters: 96 Number of nonlinear parameters: 180 Total number of parameters: 276 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 6 Minimal training RMSE = 14.6559 Minimal checking RMSE = 16.1443 Done (val err=16.14, rules=6) Mean CV error=16.03 | Mean rules=5 Combo: features=15 | radius=1.00 ... Fold 1/5 ... ANFIS info: Number of nodes: 82 Number of linear parameters: 32 Number of nonlinear parameters: 60 Total number of parameters: 92 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 2 Minimal training RMSE = 17.4608 Minimal checking RMSE = 17.2872 Done (val err=17.29, rules=2) Fold 2/5 ... ANFIS info: Number of nodes: 146 Number of linear parameters: 64 Number of nonlinear parameters: 120 Total number of parameters: 184 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 4 Minimal training RMSE = 16.2855 Minimal checking RMSE = 16.1234 Done (val err=16.12, rules=4) Fold 3/5 ... ANFIS info: Number of nodes: 114 Number of linear parameters: 48 Number of nonlinear parameters: 90 Total number of parameters: 138 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 3 Minimal training RMSE = 17.0386 Minimal checking RMSE = 16.3713 Done (val err=16.37, rules=3) Fold 4/5 ... ANFIS info: Number of nodes: 82 Number of linear parameters: 32 Number of nonlinear parameters: 60 Total number of parameters: 92 Number of training data pairs: 10206 Number of checking data pairs: 2552 Number of fuzzy rules: 2 Minimal training RMSE = 16.9646 Minimal checking RMSE = 17.534 Done (val err=17.53, rules=2) Fold 5/5 ... ANFIS info: Number of nodes: 114 Number of linear parameters: 48 Number of nonlinear parameters: 90 Total number of parameters: 138 Number of training data pairs: 10207 Number of checking data pairs: 2551 Number of fuzzy rules: 3 Minimal training RMSE = 16.9582 Minimal checking RMSE = 17.919 Done (val err=17.92, rules=3) Mean CV error=17.05 | Mean rules=3 Grid-search completed. Best combo found: features=15, radius=0.25 Mean CV error : 15.09 =========================================== Final training using best hyper-parameters... Selected 15 features (ReliefF top indices) Building initial FIS (SC radius=0.25)... Initial FIS created with 12 rules Training ANFIS (Hybrid optimization)... ANFIS info: Number of nodes: 402 Number of linear parameters: 192 Number of nonlinear parameters: 360 Total number of parameters: 552 Number of training data pairs: 12758 Number of checking data pairs: 4253 Number of fuzzy rules: 12 Start training ANFIS ... 1 15.8964 16.1264 2 15.8212 16.341 3 15.6143 15.8382 4 15.5377 15.9095 5 15.4153 15.9569 6 15.4801 15.8686 7 15.3094 15.7575 8 15.1577 15.6762 9 15.0513 15.5203 10 14.9358 15.3711 11 14.8695 15.2892 12 14.7912 15.1338 13 14.7369 15.1482 14 14.6722 14.9784 15 14.6512 15.0368 16 14.6272 14.8674 17 14.5785 14.9091 18 14.5365 14.7692 19 14.5133 14.8321 20 14.5066 14.7143 21 14.454 14.7454 22 14.4295 14.6143 23 14.4029 14.6614 24 14.3453 14.5473 25 14.3936 14.6608 26 14.3325 14.5342 27 14.3455 14.499 28 14.2873 14.4988 29 14.2322 14.401 30 14.2347 14.4209 31 14.2012 14.4202 32 14.1669 14.3469 33 14.1984 14.4397 34 14.1767 14.3351 35 14.1241 14.307 36 14.1688 14.4055 37 14.1713 14.4336 38 14.1265 14.3434 39 14.1169 14.3065 40 14.0884 14.3818 41 14.104 14.3477 42 14.1383 14.4493 43 14.0954 14.3695 44 14.0311 14.3533 45 14.0552 14.342 46 14.0066 14.3103 47 14.0422 14.5049 48 14.0107 14.2627 49 14.0202 14.289 50 14.02 14.2614 51 13.9942 14.2584 52 13.9933 14.2332 53 13.9466 14.249 54 13.9297 14.1818 55 13.9887 14.2809 56 13.916 14.1474 57 13.9131 14.1983 58 14.1524 14.3588 59 13.9159 14.1661 60 14.0754 14.3011 61 13.9079 14.1572 62 14.0052 14.238 63 13.8786 14.1187 64 13.9068 14.1428 65 13.8803 14.1429 66 13.8724 14.1227 67 13.8628 14.0914 68 13.8432 14.0998 69 13.8531 14.1621 70 13.9369 14.1691 71 13.8268 14.1029 72 13.8963 14.1449 73 13.8232 14.0779 74 13.8351 14.0851 75 13.8179 14.138 76 13.8128 14.0779 77 13.811 14.1286 78 13.8003 14.069 79 13.8029 14.1302 80 13.8189 14.0866 81 13.795 14.1236 82 13.806 14.0719 83 13.7875 14.1262 84 13.7952 14.0809 85 13.7652 14.1097 86 13.7834 14.0785 87 13.7598 14.1051 88 13.7725 14.0755 89 13.74 14.0976 90 13.7626 14.0745 91 13.7352 14.0936 92 13.7529 14.0709 93 13.7178 14.0854 94 13.7431 14.0659 95 13.7131 14.0827 96 13.7342 14.0611 97 13.6983 14.0758 98 13.7247 14.0534 99 13.6939 14.0752 100 13.7163 14.0471 Designated epoch number reached. ANFIS training completed at epoch 100. Minimal training RMSE = 13.6939 Minimal checking RMSE = 14.0471 Done. Final FIS has 12 rules. Evaluating on Test set ... FINAL MODEL PERFORMANCE (Test set) ------------------------------------------- MSE : 208.506 RMSE: 14.4397 R2 : 0.820108 NMSE: 0.179892 NDEI: 0.424137 Generating diagnostic plots ... All plots saved in ./figures_scn2