Compound Id	Data used to train model
1	6.8734
3	6.82987
4	6.90717
5	7.11988
6	6.99593
7	6.62065
9	6.49509
11	6.50734
12	7.07038
15	8.82413
18	8.85542
19	8.6013
20	8.75819
22	8.84635
23	8.97227
26	8.90168
29	9.06654
30	9.09344
31	8.82935
32	9.00993
33	9.2199
34	9.23564
35	8.97909
36	9.14285
37	9.2589
38	9.21912
39	9.22559
40	9.23865
41	8.9882
42	9.19355
44	9.28577
45	9.37289
46	9.37648
47	9.13141
48	9.32284
49	9.43142
50	9.40815
51	7.05222
52	7.41344
53	6.43915
54	7.0472
55	6.66229
56	6.76022
57	7.18352
58	6.50166
59	6.64172
60	6.60526
61	7.30801
62	7.19815
63	5.33301
64	8.03473
65	6.56837
66	7.06967
68	6.93576
69	7.04699
70	7.16393
71	7.04325
72	7.25724
73	7.20245
75	7.31831
76	7.24154
77	7.52246
78	7.52783
79	7.50969
81	7.63085
82	7.61346
84	7.64172
85	7.35867
86	7.65402
88	7.70346
89	5.83837
90	6.32746
91	6.36478
93	6.55787
94	6.58498
95	7.13986
96	6.82295
97	6.82203
99	6.83075
101	6.82663
102	7.11706
103	7.3797
105	6.76514
106	6.80258
108	7.13309
109	7.14972
110	7.48412
111	7.2042
112	7.50914
114	6.56726
115	6.57261
116	5.84227
117	6.62559
118	6.73514
119	6.51808
120	6.22303
121	6.79626
125	6.52022
126	6.42991
128	6.52034
129	6.66535
130	6.15117
131	6.04144
132	6.05017
133	6.04417
134	5.97197
135	6.20073
136	6.25541
138	6.05332
139	6.41463
140	6.35853
141	6.38923
142	6.28226
143	6.40258
144	6.94266
145	6.92977
146	6.86249
147	6.83725
148	6.80238
149	6.69655
150	6.48786
151	6.32011
153	6.1172
155	6.44158
156	6.38708
157	6.45732
158	6.40794
159	6.22327
160	6.05193
163	6.54998
164	6.25676
166	6.35964
167	6.73618
168	6.73431
169	6.65675
170	6.67039
171	6.77235
172	6.73131
174	6.3386
177	6.40376
178	6.37789
179	6.08312
180	6.00477
181	6.18791
183	6.65769
184	6.62166
187	6.33012
188	6.38585
189	6.17247
190	6.52654
191	6.797
192	6.80121
194	6.7463
195	6.99173
196	6.97453
197	6.90155
198	6.89307
199	6.93563
200	6.89225
201	5.86075
202	6.07029
204	5.17944
205	5.62494
206	5.90681
207	6.24455
208	6.59156
209	6.52752
211	5.97283
212	7.01899
213	6.67587
214	6.71383
215	6.40553
216	6.36928