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Table 1:

Accuracy of the classifications based on the test sample for a 10 parameters SVM training (C, A, G, Ell, S, M20, C2, SB, z, mag) as a function of probability. The table shows the fraction of correct classifications when a probability bin $[P_{\min},P_{\max}]$ is considered. Numbers between brackets give the number of objects per bin. Top: early-type galaxies, bottom: late-type galaxies.
$P_{\max}\rightarrow$ 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1.0
$P_{\min}\downarrow$                      
0.5 - - 0.56 (45) 0.55 (63) 0.53 (82) 0.6 (111) 0.66 (157) 0.7 (195) 0.73 (236) 0.76 (315) 0.78 (352)
0.55 - - - 0.58 (46) 0.56 (65) 0.62 (94) 0.68 (140) 0.72 (178) 0.76 (219) 0.80(298) 0.82 (335)
0.6 - - - - 0.52 (37) 0.62 (66) 0.70 (112) 0.74 (150) 0.78 (191) 0.83(270) 0.84 (307)
0.65 - - - - - 0.63 (48) 0.75 (94) 0.78 (132) 0.82 (173) 0.87(252) 0.87 (289)
0.7 - - - - - - 0.85 (75) 0.86 (113) 0.9 (154) 0.92(233) 0.92 (270)
0.75 - - - - - - - 0.89 (84) 0.92 (125) 0.94(204) 0.94 (241)
0.8 - - - - - - - - 0.93 (79) 0.96(158) 0.94 (195)
0.85 - - - - - - - - - 0.98(120) 0.96 (157)
0.9 - - - - - - - - - - 0.95 (116)
$P_{\max}\rightarrow$ 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1.0
$P_{\min}\downarrow$                      
0.5 - - 0.58 (39) 0.62 (68) 0.62 (82) 0.64 (114) 0.67 (155) 0.7 (189) 0.72 (224) 0.74 (271) 0.75 (309)
0.55 - - - 0.68 (53) 0.66 (67) 0.68 (99) 0.70 (140) 0.73 (174) 0.74 (209) 0.76(256) 0.77 (294)
0.6 - - - - 0.68 (46) 0.70 (87) 0.70 (116) 0.74 (150) 0.75 (185) 0.78 (232) 0.78 (270)
0.65 - - - - - 0.74 (73) 0.75 (94) 0.75 (121) 0.76 (156) 0.78 (203) 0.79 (241)
0.7 - - - - - - 0.85 (75) 0.78 (107) 0.78 (142) 0.81(189) 0.82 (227)
0.75 - - - - - - - 0.80 (75) 0.80 (110) 0.83 (157) 0.83 (195)
0.8 - - - - - - - - 0.84 (69) 0.86(116) 0.86 (154)

0.85

- - - - - - - - - 0.85 (82) 0.85 (120)
0.9 - - - - - - - - - - 0.87 (85)

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