EXP split_seed random_seed neurons soft lambda_in sigma_in PICP_test MPIW_test RMSE alpha h_size epochs lr decay_rate ensemb n_runs
1 1 10 [50] 160.0 5.0 0.05 0.896 1.897 4.774 0.05 [50] 600 0.002 0.999 1 1
2 1 10 [50] 160.0 5.0 0.2 0.894 1.879 4.78 0.05 [50] 600 0.002 0.999 1 1
3 1 10 [50] 160.0 5.0 0.4 0.893 1.875 4.782 0.05 [50] 600 0.002 0.999 1 1
4 1 10 [50] 160.0 15.0 0.05 0.932 2.096 4.862 0.05 [50] 600 0.002 0.999 1 1
5 1 10 [50] 160.0 15.0 0.2 0.927 2.066 4.833 0.05 [50] 600 0.002 0.999 1 1
6 1 10 [50] 160.0 15.0 0.4 0.927 2.06 4.824 0.05 [50] 600 0.002 0.999 1 1
7 1 10 [50] 160.0 20.0 0.05 0.933 2.111 4.874 0.05 [50] 600 0.002 0.999 1 1
8 1 10 [50] 160.0 20.0 0.2 0.932 2.093 4.844 0.05 [50] 600 0.002 0.999 1 1
9 1 10 [50] 160.0 20.0 0.4 0.931 2.103 4.834 0.05 [50] 600 0.002 0.999 1 1
10 1 10 [75] 160.0 5.0 0.05 0.894 1.844 4.715 0.05 [75] 600 0.002 0.999 1 1
11 1 10 [75] 160.0 5.0 0.2 0.892 1.838 4.673 0.05 [75] 600 0.002 0.999 1 1
12 1 10 [75] 160.0 5.0 0.4 0.889 1.839 4.686 0.05 [75] 600 0.002 0.999 1 1
13 1 10 [75] 160.0 15.0 0.05 0.923 2.036 4.77 0.05 [75] 600 0.002 0.999 1 1
14 1 10 [75] 160.0 15.0 0.2 0.922 2.018 4.759 0.05 [75] 600 0.002 0.999 1 1
15 1 10 [75] 160.0 15.0 0.4 0.921 2.042 4.734 0.05 [75] 600 0.002 0.999 1 1
16 1 10 [75] 160.0 20.0 0.05 0.933 2.087 4.812 0.05 [75] 600 0.002 0.999 1 1
17 1 10 [75] 160.0 20.0 0.2 0.928 2.058 4.762 0.05 [75] 600 0.002 0.999 1 1
18 1 10 [75] 160.0 20.0 0.4 0.927 2.084 4.79 0.05 [75] 600 0.002 0.999 1 1
19 1 10 [100] 160.0 5.0 0.05 0.888 1.821 4.709 0.05 [100] 600 0.002 0.999 1 1
20 1 10 [100] 160.0 5.0 0.2 0.887 1.799 4.639 0.05 [100] 600 0.002 0.999 1 1
21 1 10 [100] 160.0 5.0 0.4 0.883 1.816 4.643 0.05 [100] 600 0.002 0.999 1 1
22 1 10 [100] 160.0 15.0 0.05 0.923 2.007 4.765 0.05 [100] 600 0.002 0.999 1 1
23 1 10 [100] 160.0 15.0 0.2 0.923 2.007 4.753 0.05 [100] 600 0.002 0.999 1 1
24 1 10 [100] 160.0 15.0 0.4 0.92 2.012 4.723 0.05 [100] 600 0.002 0.999 1 1
25 1 10 [100] 160.0 20.0 0.05 0.929 2.05 4.764 0.05 [100] 600 0.002 0.999 1 1
26 1 10 [100] 160.0 20.0 0.2 0.93 2.044 4.789 0.05 [100] 600 0.002 0.999 1 1
27 1 10 [100] 160.0 20.0 0.4 0.921 2.05 4.76 0.05 [100] 600 0.002 0.999 1 1
28 1 20 [50] 160.0 5.0 0.05 0.897 1.893 4.793 0.05 [50] 600 0.002 0.999 1 1
29 1 20 [50] 160.0 5.0 0.2 0.894 1.89 4.781 0.05 [50] 600 0.002 0.999 1 1
30 1 20 [50] 160.0 5.0 0.4 0.894 1.874 4.754 0.05 [50] 600 0.002 0.999 1 1
31 1 20 [50] 160.0 15.0 0.05 0.924 2.066 4.835 0.05 [50] 600 0.002 0.999 1 1
32 1 20 [50] 160.0 15.0 0.2 0.926 2.051 4.817 0.05 [50] 600 0.002 0.999 1 1
33 1 20 [50] 160.0 15.0 0.4 0.924 2.083 4.853 0.05 [50] 600 0.002 0.999 1 1
34 1 20 [50] 160.0 20.0 0.05 0.93 2.117 4.883 0.05 [50] 600 0.002 0.999 1 1
35 1 20 [50] 160.0 20.0 0.2 0.926 2.109 4.865 0.05 [50] 600 0.002 0.999 1 1
36 1 20 [50] 160.0 20.0 0.4 0.931 2.11 4.862 0.05 [50] 600 0.002 0.999 1 1
37 1 20 [75] 160.0 5.0 0.05 0.895 1.853 4.698 0.05 [75] 600 0.002 0.999 1 1
38 1 20 [75] 160.0 5.0 0.2 0.89 1.828 4.691 0.05 [75] 600 0.002 0.999 1 1
39 1 20 [75] 160.0 5.0 0.4 0.889 1.825 4.665 0.05 [75] 600 0.002 0.999 1 1
40 1 20 [75] 160.0 15.0 0.05 0.927 2.047 4.811 0.05 [75] 600 0.002 0.999 1 1
41 1 20 [75] 160.0 15.0 0.2 0.926 2.023 4.75 0.05 [75] 600 0.002 0.999 1 1
42 1 20 [75] 160.0 15.0 0.4 0.92 2.034 4.796 0.05 [75] 600 0.002 0.999 1 1
43 1 20 [75] 160.0 20.0 0.05 0.927 2.07 4.847 0.05 [75] 600 0.002 0.999 1 1
44 1 20 [75] 160.0 20.0 0.2 0.931 2.073 4.818 0.05 [75] 600 0.002 0.999 1 1
45 1 20 [75] 160.0 20.0 0.4 0.927 2.074 4.81 0.05 [75] 600 0.002 0.999 1 1
46 1 20 [100] 160.0 5.0 0.05 0.889 1.831 4.676 0.05 [100] 600 0.002 0.999 1 1
47 1 20 [100] 160.0 5.0 0.2 0.89 1.78 4.607 0.05 [100] 600 0.002 0.999 1 1
48 1 20 [100] 160.0 5.0 0.4 0.885 1.785 4.627 0.05 [100] 600 0.002 0.999 1 1
49 1 20 [100] 160.0 15.0 0.05 0.922 2.015 4.764 0.05 [100] 600 0.002 0.999 1 1
50 1 20 [100] 160.0 15.0 0.2 0.918 1.98 4.729 0.05 [100] 600 0.002 0.999 1 1
51 1 20 [100] 160.0 15.0 0.4 0.92 1.988 4.723 0.05 [100] 600 0.002 0.999 1 1
52 1 20 [100] 160.0 20.0 0.05 0.928 2.044 4.776 0.05 [100] 600 0.002 0.999 1 1
53 1 20 [100] 160.0 20.0 0.2 0.928 2.041 4.75 0.05 [100] 600 0.002 0.999 1 1
54 1 20 [100] 160.0 20.0 0.4 0.926 2.044 4.743 0.05 [100] 600 0.002 0.999 1 1
55 1 30 [50] 160.0 5.0 0.05 0.899 1.903 4.757 0.05 [50] 600 0.002 0.999 1 1
56 1 30 [50] 160.0 5.0 0.2 0.892 1.885 4.762 0.05 [50] 600 0.002 0.999 1 1
57 1 30 [50] 160.0 5.0 0.4 0.892 1.887 4.762 0.05 [50] 600 0.002 0.999 1 1
58 1 30 [50] 160.0 15.0 0.05 0.924 2.06 4.814 0.05 [50] 600 0.002 0.999 1 1
59 1 30 [50] 160.0 15.0 0.2 0.929 2.067 4.828 0.05 [50] 600 0.002 0.999 1 1
60 1 30 [50] 160.0 15.0 0.4 0.926 2.089 4.844 0.05 [50] 600 0.002 0.999 1 1
61 1 30 [50] 160.0 20.0 0.05 0.932 2.144 4.881 0.05 [50] 600 0.002 0.999 1 1
62 1 30 [50] 160.0 20.0 0.2 0.929 2.095 4.82 0.05 [50] 600 0.002 0.999 1 1
63 1 30 [50] 160.0 20.0 0.4 0.932 2.154 4.865 0.05 [50] 600 0.002 0.999 1 1
64 1 30 [75] 160.0 5.0 0.05 0.897 1.855 4.724 0.05 [75] 600 0.002 0.999 1 1
65 1 30 [75] 160.0 5.0 0.2 0.888 1.833 4.712 0.05 [75] 600 0.002 0.999 1 1
66 1 30 [75] 160.0 5.0 0.4 0.89 1.838 4.676 0.05 [75] 600 0.002 0.999 1 1
67 1 30 [75] 160.0 15.0 0.05 0.925 2.037 4.804 0.05 [75] 600 0.002 0.999 1 1
68 1 30 [75] 160.0 15.0 0.2 0.926 2.029 4.798 0.05 [75] 600 0.002 0.999 1 1
69 1 30 [75] 160.0 15.0 0.4 0.921 2.035 4.794 0.05 [75] 600 0.002 0.999 1 1
70 1 30 [75] 160.0 20.0 0.05 0.93 2.089 4.828 0.05 [75] 600 0.002 0.999 1 1
71 1 30 [75] 160.0 20.0 0.2 0.926 2.052 4.794 0.05 [75] 600 0.002 0.999 1 1
72 1 30 [75] 160.0 20.0 0.4 0.926 2.069 4.8 0.05 [75] 600 0.002 0.999 1 1
73 1 30 [100] 160.0 5.0 0.05 0.89 1.82 4.675 0.05 [100] 600 0.002 0.999 1 1
74 1 30 [100] 160.0 5.0 0.2 0.89 1.791 4.63 0.05 [100] 600 0.002 0.999 1 1
75 1 30 [100] 160.0 5.0 0.4 0.89 1.803 4.629 0.05 [100] 600 0.002 0.999 1 1
76 1 30 [100] 160.0 15.0 0.05 0.923 2.009 4.756 0.05 [100] 600 0.002 0.999 1 1
77 1 30 [100] 160.0 15.0 0.2 0.924 1.986 4.704 0.05 [100] 600 0.002 0.999 1 1
78 1 30 [100] 160.0 15.0 0.4 0.921 1.993 4.732 0.05 [100] 600 0.002 0.999 1 1
79 1 30 [100] 160.0 20.0 0.05 0.928 2.057 4.789 0.05 [100] 600 0.002 0.999 1 1
80 1 30 [100] 160.0 20.0 0.2 0.928 2.04 4.771 0.05 [100] 600 0.002 0.999 1 1
81 1 30 [100] 160.0 20.0 0.4 0.923 2.049 4.771 0.05 [100] 600 0.002 0.999 1 1
82 2 10 [50] 160.0 5.0 0.05 0.898 1.893 4.736 0.05 [50] 600 0.002 0.999 1 1
83 2 10 [50] 160.0 5.0 0.2 0.895 1.875 4.746 0.05 [50] 600 0.002 0.999 1 1
84 2 10 [50] 160.0 5.0 0.4 0.899 1.883 4.736 0.05 [50] 600 0.002 0.999 1 1
85 2 10 [50] 160.0 15.0 0.05 0.928 2.095 4.844 0.05 [50] 600 0.002 0.999 1 1
86 2 10 [50] 160.0 15.0 0.2 0.925 2.057 4.805 0.05 [50] 600 0.002 0.999 1 1
87 2 10 [50] 160.0 15.0 0.4 0.927 2.065 4.817 0.05 [50] 600 0.002 0.999 1 1
88 2 10 [50] 160.0 20.0 0.05 0.934 2.133 4.85 0.05 [50] 600 0.002 0.999 1 1
89 2 10 [50] 160.0 20.0 0.2 0.937 2.114 4.834 0.05 [50] 600 0.002 0.999 1 1
90 2 10 [50] 160.0 20.0 0.4 0.934 2.095 4.823 0.05 [50] 600 0.002 0.999 1 1
91 2 10 [75] 160.0 5.0 0.05 0.897 1.843 4.654 0.05 [75] 600 0.002 0.999 1 1
92 2 10 [75] 160.0 5.0 0.2 0.891 1.832 4.634 0.05 [75] 600 0.002 0.999 1 1
93 2 10 [75] 160.0 5.0 0.4 0.897 1.84 4.617 0.05 [75] 600 0.002 0.999 1 1
94 2 10 [75] 160.0 15.0 0.05 0.926 2.036 4.792 0.05 [75] 600 0.002 0.999 1 1
95 2 10 [75] 160.0 15.0 0.2 0.925 2.016 4.738 0.05 [75] 600 0.002 0.999 1 1
96 2 10 [75] 160.0 15.0 0.4 0.927 2.043 4.74 0.05 [75] 600 0.002 0.999 1 1
97 2 10 [75] 160.0 20.0 0.05 0.932 2.071 4.773 0.05 [75] 600 0.002 0.999 1 1
98 2 10 [75] 160.0 20.0 0.2 0.93 2.056 4.767 0.05 [75] 600 0.002 0.999 1 1
99 2 10 [75] 160.0 20.0 0.4 0.93 2.081 4.778 0.05 [75] 600 0.002 0.999 1 1
100 2 10 [100] 160.0 5.0 0.05 0.897 1.811 4.643 0.05 [100] 600 0.002 0.999 1 1
101 2 10 [100] 160.0 5.0 0.2 0.891 1.799 4.596 0.05 [100] 600 0.002 0.999 1 1
102 2 10 [100] 160.0 5.0 0.4 0.896 1.819 4.572 0.05 [100] 600 0.002 0.999 1 1
103 2 10 [100] 160.0 15.0 0.05 0.927 2.022 4.754 0.05 [100] 600 0.002 0.999 1 1
104 2 10 [100] 160.0 15.0 0.2 0.922 1.991 4.704 0.05 [100] 600 0.002 0.999 1 1
105 2 10 [100] 160.0 15.0 0.4 0.925 2.024 4.734 0.05 [100] 600 0.002 0.999 1 1
106 2 10 [100] 160.0 20.0 0.05 0.933 2.051 4.766 0.05 [100] 600 0.002 0.999 1 1
107 2 10 [100] 160.0 20.0 0.2 0.932 2.046 4.738 0.05 [100] 600 0.002 0.999 1 1
108 2 10 [100] 160.0 20.0 0.4 0.928 2.065 4.742 0.05 [100] 600 0.002 0.999 1 1
109 2 20 [50] 160.0 5.0 0.05 0.9 1.904 4.755 0.05 [50] 600 0.002 0.999 1 1
110 2 20 [50] 160.0 5.0 0.2 0.896 1.878 4.725 0.05 [50] 600 0.002 0.999 1 1
111 2 20 [50] 160.0 5.0 0.4 0.899 1.885 4.739 0.05 [50] 600 0.002 0.999 1 1
112 2 20 [50] 160.0 15.0 0.05 0.926 2.082 4.836 0.05 [50] 600 0.002 0.999 1 1
113 2 20 [50] 160.0 15.0 0.2 0.929 2.068 4.828 0.05 [50] 600 0.002 0.999 1 1
114 2 20 [50] 160.0 15.0 0.4 0.928 2.065 4.838 0.05 [50] 600 0.002 0.999 1 1
115 2 20 [50] 160.0 20.0 0.05 0.934 2.12 4.861 0.05 [50] 600 0.002 0.999 1 1
116 2 20 [50] 160.0 20.0 0.2 0.933 2.098 4.832 0.05 [50] 600 0.002 0.999 1 1
117 2 20 [50] 160.0 20.0 0.4 0.934 2.097 4.824 0.05 [50] 600 0.002 0.999 1 1
118 2 20 [75] 160.0 5.0 0.05 0.899 1.87 4.683 0.05 [75] 600 0.002 0.999 1 1
119 2 20 [75] 160.0 5.0 0.2 0.897 1.839 4.658 0.05 [75] 600 0.002 0.999 1 1
120 2 20 [75] 160.0 5.0 0.4 0.892 1.818 4.633 0.05 [75] 600 0.002 0.999 1 1
121 2 20 [75] 160.0 15.0 0.05 0.925 2.035 4.791 0.05 [75] 600 0.002 0.999 1 1
122 2 20 [75] 160.0 15.0 0.2 0.925 2.026 4.737 0.05 [75] 600 0.002 0.999 1 1
123 2 20 [75] 160.0 15.0 0.4 0.926 2.028 4.764 0.05 [75] 600 0.002 0.999 1 1
124 2 20 [75] 160.0 20.0 0.05 0.932 2.075 4.804 0.05 [75] 600 0.002 0.999 1 1
125 2 20 [75] 160.0 20.0 0.2 0.929 2.066 4.788 0.05 [75] 600 0.002 0.999 1 1
126 2 20 [75] 160.0 20.0 0.4 0.927 2.063 4.778 0.05 [75] 600 0.002 0.999 1 1
127 2 20 [100] 160.0 5.0 0.05 0.901 1.849 4.697 0.05 [100] 600 0.002 0.999 1 1
128 2 20 [100] 160.0 5.0 0.2 0.895 1.801 4.577 0.05 [100] 600 0.002 0.999 1 1
129 2 20 [100] 160.0 5.0 0.4 0.895 1.805 4.589 0.05 [100] 600 0.002 0.999 1 1
130 2 20 [100] 160.0 15.0 0.05 0.926 2.008 4.755 0.05 [100] 600 0.002 0.999 1 1
131 2 20 [100] 160.0 15.0 0.2 0.923 1.987 4.714 0.05 [100] 600 0.002 0.999 1 1
132 2 20 [100] 160.0 15.0 0.4 0.924 1.996 4.718 0.05 [100] 600 0.002 0.999 1 1
133 2 20 [100] 160.0 20.0 0.05 0.93 2.057 4.761 0.05 [100] 600 0.002 0.999 1 1
134 2 20 [100] 160.0 20.0 0.2 0.931 2.048 4.757 0.05 [100] 600 0.002 0.999 1 1
135 2 20 [100] 160.0 20.0 0.4 0.929 2.044 4.73 0.05 [100] 600 0.002 0.999 1 1
136 2 30 [50] 160.0 5.0 0.05 0.897 1.888 4.734 0.05 [50] 600 0.002 0.999 1 1
137 2 30 [50] 160.0 5.0 0.2 0.898 1.887 4.71 0.05 [50] 600 0.002 0.999 1 1
138 2 30 [50] 160.0 5.0 0.4 0.894 1.871 4.717 0.05 [50] 600 0.002 0.999 1 1
139 2 30 [50] 160.0 15.0 0.05 0.928 2.078 4.837 0.05 [50] 600 0.002 0.999 1 1
140 2 30 [50] 160.0 15.0 0.2 0.928 2.062 4.796 0.05 [50] 600 0.002 0.999 1 1
141 2 30 [50] 160.0 15.0 0.4 0.929 2.096 4.802 0.05 [50] 600 0.002 0.999 1 1
142 2 30 [50] 160.0 20.0 0.05 0.934 2.126 4.864 0.05 [50] 600 0.002 0.999 1 1
143 2 30 [50] 160.0 20.0 0.2 0.935 2.109 4.82 0.05 [50] 600 0.002 0.999 1 1
144 2 30 [50] 160.0 20.0 0.4 0.931 2.137 4.827 0.05 [50] 600 0.002 0.999 1 1
145 2 30 [75] 160.0 5.0 0.05 0.897 1.855 4.678 0.05 [75] 600 0.002 0.999 1 1
146 2 30 [75] 160.0 5.0 0.2 0.898 1.836 4.637 0.05 [75] 600 0.002 0.999 1 1
147 2 30 [75] 160.0 5.0 0.4 0.896 1.847 4.669 0.05 [75] 600 0.002 0.999 1 1
148 2 30 [75] 160.0 15.0 0.05 0.929 2.035 4.781 0.05 [75] 600 0.002 0.999 1 1
149 2 30 [75] 160.0 15.0 0.2 0.927 2.029 4.758 0.05 [75] 600 0.002 0.999 1 1
150 2 30 [75] 160.0 15.0 0.4 0.924 2.043 4.762 0.05 [75] 600 0.002 0.999 1 1
151 2 30 [75] 160.0 20.0 0.05 0.931 2.067 4.81 0.05 [75] 600 0.002 0.999 1 1
152 2 30 [75] 160.0 20.0 0.2 0.931 2.073 4.767 0.05 [75] 600 0.002 0.999 1 1
153 2 30 [75] 160.0 20.0 0.4 0.934 2.087 4.776 0.05 [75] 600 0.002 0.999 1 1
154 2 30 [100] 160.0 5.0 0.05 0.896 1.823 4.636 0.05 [100] 600 0.002 0.999 1 1
155 2 30 [100] 160.0 5.0 0.2 0.893 1.775 4.566 0.05 [100] 600 0.002 0.999 1 1
156 2 30 [100] 160.0 5.0 0.4 0.893 1.812 4.579 0.05 [100] 600 0.002 0.999 1 1
157 2 30 [100] 160.0 15.0 0.05 0.928 2.012 4.752 0.05 [100] 600 0.002 0.999 1 1
158 2 30 [100] 160.0 15.0 0.2 0.926 1.998 4.676 0.05 [100] 600 0.002 0.999 1 1
159 2 30 [100] 160.0 15.0 0.4 0.926 2.0 4.693 0.05 [100] 600 0.002 0.999 1 1
160 2 30 [100] 160.0 20.0 0.05 0.932 2.053 4.773 0.05 [100] 600 0.002 0.999 1 1
161 2 30 [100] 160.0 20.0 0.2 0.929 2.038 4.734 0.05 [100] 600 0.002 0.999 1 1
162 2 30 [100] 160.0 20.0 0.4 0.928 2.054 4.728 0.05 [100] 600 0.002 0.999 1 1
163 3 10 [50] 160.0 5.0 0.05 0.892 1.914 4.808 0.05 [50] 600 0.002 0.999 1 1
164 3 10 [50] 160.0 5.0 0.2 0.894 1.894 4.792 0.05 [50] 600 0.002 0.999 1 1
165 3 10 [50] 160.0 5.0 0.4 0.884 1.886 4.799 0.05 [50] 600 0.002 0.999 1 1
166 3 10 [50] 160.0 15.0 0.05 0.922 2.1 4.903 0.05 [50] 600 0.002 0.999 1 1
167 3 10 [50] 160.0 15.0 0.2 0.92 2.079 4.869 0.05 [50] 600 0.002 0.999 1 1
168 3 10 [50] 160.0 15.0 0.4 0.922 2.076 4.84 0.05 [50] 600 0.002 0.999 1 1
169 3 10 [50] 160.0 20.0 0.05 0.925 2.132 4.93 0.05 [50] 600 0.002 0.999 1 1
170 3 10 [50] 160.0 20.0 0.2 0.926 2.125 4.9 0.05 [50] 600 0.002 0.999 1 1
171 3 10 [50] 160.0 20.0 0.4 0.928 2.11 4.875 0.05 [50] 600 0.002 0.999 1 1
172 3 10 [75] 160.0 5.0 0.05 0.891 1.861 4.734 0.05 [75] 600 0.002 0.999 1 1
173 3 10 [75] 160.0 5.0 0.2 0.889 1.843 4.714 0.05 [75] 600 0.002 0.999 1 1
174 3 10 [75] 160.0 5.0 0.4 0.886 1.84 4.682 0.05 [75] 600 0.002 0.999 1 1
175 3 10 [75] 160.0 15.0 0.05 0.921 2.054 4.839 0.05 [75] 600 0.002 0.999 1 1
176 3 10 [75] 160.0 15.0 0.2 0.917 2.031 4.786 0.05 [75] 600 0.002 0.999 1 1
177 3 10 [75] 160.0 15.0 0.4 0.922 2.059 4.812 0.05 [75] 600 0.002 0.999 1 1
178 3 10 [75] 160.0 20.0 0.05 0.925 2.085 4.852 0.05 [75] 600 0.002 0.999 1 1
179 3 10 [75] 160.0 20.0 0.2 0.922 2.077 4.826 0.05 [75] 600 0.002 0.999 1 1
180 3 10 [75] 160.0 20.0 0.4 0.924 2.104 4.832 0.05 [75] 600 0.002 0.999 1 1
181 3 10 [100] 160.0 5.0 0.05 0.891 1.832 4.71 0.05 [100] 600 0.002 0.999 1 1
182 3 10 [100] 160.0 5.0 0.2 0.885 1.801 4.645 0.05 [100] 600 0.002 0.999 1 1
183 3 10 [100] 160.0 5.0 0.4 0.883 1.828 4.683 0.05 [100] 600 0.002 0.999 1 1
184 3 10 [100] 160.0 15.0 0.05 0.919 2.022 4.806 0.05 [100] 600 0.002 0.999 1 1
185 3 10 [100] 160.0 15.0 0.2 0.914 2.013 4.748 0.05 [100] 600 0.002 0.999 1 1
186 3 10 [100] 160.0 15.0 0.4 0.916 2.023 4.735 0.05 [100] 600 0.002 0.999 1 1
187 3 10 [100] 160.0 20.0 0.05 0.921 2.055 4.81 0.05 [100] 600 0.002 0.999 1 1
188 3 10 [100] 160.0 20.0 0.2 0.925 2.054 4.809 0.05 [100] 600 0.002 0.999 1 1
189 3 10 [100] 160.0 20.0 0.4 0.922 2.067 4.786 0.05 [100] 600 0.002 0.999 1 1
190 3 20 [50] 160.0 5.0 0.05 0.892 1.915 4.819 0.05 [50] 600 0.002 0.999 1 1
191 3 20 [50] 160.0 5.0 0.2 0.892 1.886 4.762 0.05 [50] 600 0.002 0.999 1 1
192 3 20 [50] 160.0 5.0 0.4 0.89 1.889 4.776 0.05 [50] 600 0.002 0.999 1 1
193 3 20 [50] 160.0 15.0 0.05 0.923 2.098 4.878 0.05 [50] 600 0.002 0.999 1 1
194 3 20 [50] 160.0 15.0 0.2 0.923 2.078 4.864 0.05 [50] 600 0.002 0.999 1 1
195 3 20 [50] 160.0 15.0 0.4 0.915 2.078 4.866 0.05 [50] 600 0.002 0.999 1 1
196 3 20 [50] 160.0 20.0 0.05 0.928 2.145 4.96 0.05 [50] 600 0.002 0.999 1 1
197 3 20 [50] 160.0 20.0 0.2 0.925 2.118 4.901 0.05 [50] 600 0.002 0.999 1 1
198 3 20 [50] 160.0 20.0 0.4 0.924 2.111 4.871 0.05 [50] 600 0.002 0.999 1 1
199 3 20 [75] 160.0 5.0 0.05 0.891 1.866 4.729 0.05 [75] 600 0.002 0.999 1 1
200 3 20 [75] 160.0 5.0 0.2 0.889 1.843 4.701 0.05 [75] 600 0.002 0.999 1 1
201 3 20 [75] 160.0 5.0 0.4 0.886 1.855 4.691 0.05 [75] 600 0.002 0.999 1 1
202 3 20 [75] 160.0 15.0 0.05 0.923 2.063 4.85 0.05 [75] 600 0.002 0.999 1 1
203 3 20 [75] 160.0 15.0 0.2 0.921 2.046 4.809 0.05 [75] 600 0.002 0.999 1 1
204 3 20 [75] 160.0 15.0 0.4 0.917 2.042 4.808 0.05 [75] 600 0.002 0.999 1 1
205 3 20 [75] 160.0 20.0 0.05 0.924 2.099 4.85 0.05 [75] 600 0.002 0.999 1 1
206 3 20 [75] 160.0 20.0 0.2 0.926 2.071 4.815 0.05 [75] 600 0.002 0.999 1 1
207 3 20 [75] 160.0 20.0 0.4 0.924 2.089 4.849 0.05 [75] 600 0.002 0.999 1 1
208 3 20 [100] 160.0 5.0 0.05 0.89 1.835 4.691 0.05 [100] 600 0.002 0.999 1 1
209 3 20 [100] 160.0 5.0 0.2 0.887 1.81 4.637 0.05 [100] 600 0.002 0.999 1 1
210 3 20 [100] 160.0 5.0 0.4 0.881 1.818 4.643 0.05 [100] 600 0.002 0.999 1 1
211 3 20 [100] 160.0 15.0 0.05 0.918 2.033 4.795 0.05 [100] 600 0.002 0.999 1 1
212 3 20 [100] 160.0 15.0 0.2 0.915 2.002 4.773 0.05 [100] 600 0.002 0.999 1 1
213 3 20 [100] 160.0 15.0 0.4 0.917 2.01 4.732 0.05 [100] 600 0.002 0.999 1 1
214 3 20 [100] 160.0 20.0 0.05 0.923 2.079 4.848 0.05 [100] 600 0.002 0.999 1 1
215 3 20 [100] 160.0 20.0 0.2 0.923 2.048 4.793 0.05 [100] 600 0.002 0.999 1 1
216 3 20 [100] 160.0 20.0 0.4 0.922 2.062 4.785 0.05 [100] 600 0.002 0.999 1 1
217 3 30 [50] 160.0 5.0 0.05 0.892 1.9 4.799 0.05 [50] 600 0.002 0.999 1 1
218 3 30 [50] 160.0 5.0 0.2 0.89 1.886 4.743 0.05 [50] 600 0.002 0.999 1 1
219 3 30 [50] 160.0 5.0 0.4 0.89 1.9 4.769 0.05 [50] 600 0.002 0.999 1 1
220 3 30 [50] 160.0 15.0 0.05 0.92 2.092 4.887 0.05 [50] 600 0.002 0.999 1 1
221 3 30 [50] 160.0 15.0 0.2 0.922 2.073 4.867 0.05 [50] 600 0.002 0.999 1 1
222 3 30 [50] 160.0 15.0 0.4 0.924 2.096 4.864 0.05 [50] 600 0.002 0.999 1 1
223 3 30 [50] 160.0 20.0 0.05 0.927 2.133 4.925 0.05 [50] 600 0.002 0.999 1 1
224 3 30 [50] 160.0 20.0 0.2 0.927 2.117 4.871 0.05 [50] 600 0.002 0.999 1 1
225 3 30 [50] 160.0 20.0 0.4 0.928 2.145 4.869 0.05 [50] 600 0.002 0.999 1 1
226 3 30 [75] 160.0 5.0 0.05 0.894 1.876 4.739 0.05 [75] 600 0.002 0.999 1 1
227 3 30 [75] 160.0 5.0 0.2 0.889 1.841 4.681 0.05 [75] 600 0.002 0.999 1 1
228 3 30 [75] 160.0 5.0 0.4 0.89 1.852 4.714 0.05 [75] 600 0.002 0.999 1 1
229 3 30 [75] 160.0 15.0 0.05 0.921 2.058 4.848 0.05 [75] 600 0.002 0.999 1 1
230 3 30 [75] 160.0 15.0 0.2 0.92 2.032 4.824 0.05 [75] 600 0.002 0.999 1 1
231 3 30 [75] 160.0 15.0 0.4 0.917 2.031 4.776 0.05 [75] 600 0.002 0.999 1 1
232 3 30 [75] 160.0 20.0 0.05 0.926 2.094 4.866 0.05 [75] 600 0.002 0.999 1 1
233 3 30 [75] 160.0 20.0 0.2 0.925 2.069 4.849 0.05 [75] 600 0.002 0.999 1 1
234 3 30 [75] 160.0 20.0 0.4 0.926 2.093 4.837 0.05 [75] 600 0.002 0.999 1 1
235 3 30 [100] 160.0 5.0 0.05 0.892 1.839 4.708 0.05 [100] 600 0.002 0.999 1 1
236 3 30 [100] 160.0 5.0 0.2 0.885 1.812 4.659 0.05 [100] 600 0.002 0.999 1 1
237 3 30 [100] 160.0 5.0 0.4 0.883 1.817 4.65 0.05 [100] 600 0.002 0.999 1 1
238 3 30 [100] 160.0 15.0 0.05 0.922 2.034 4.818 0.05 [100] 600 0.002 0.999 1 1
239 3 30 [100] 160.0 15.0 0.2 0.918 2.025 4.784 0.05 [100] 600 0.002 0.999 1 1
240 3 30 [100] 160.0 15.0 0.4 0.918 2.02 4.742 0.05 [100] 600 0.002 0.999 1 1
241 3 30 [100] 160.0 20.0 0.05 0.924 2.068 4.842 0.05 [100] 600 0.002 0.999 1 1
242 3 30 [100] 160.0 20.0 0.2 0.92 2.061 4.801 0.05 [100] 600 0.002 0.999 1 1
243 3 30 [100] 160.0 20.0 0.4 0.925 2.062 4.766 0.05 [100] 600 0.002 0.999 1 1
