visible-learning/export/robust_sensitivity_items.csv

1	Thermometer_ID	CI_sum_after_drop	CI_delta
2	5.01	0.0	0.0
3	10.15	0.0	0.0
4	10.16	0.0	0.0
5	10.17	0.0	0.0
6	10.18	0.0	0.0
7	10.19	0.0	0.0
8	10.2	0.0	0.0
9	10.21	0.0	0.0
10	10.22	0.0	0.0
11	10.23	0.0	0.0
12	10.24	0.0	0.0
13	10.25	0.0	0.0
14	10.14	0.0	0.0
15	10.26	0.0	0.0
16	10.28	0.0	0.0
17	10.29	0.0	0.0
18	10.3	0.0	0.0
19	10.31	0.0	0.0
20	10.32	0.0	0.0
21	10.33	0.0	0.0
22	10.34	0.0	0.0
23	10.35	0.0	0.0
24	10.36	0.0	0.0
25	10.37	0.0	0.0
26	10.38	0.0	0.0
27	10.27	0.0	0.0
28	10.39	0.0	0.0
29	10.13	0.0	0.0
30	10.11	0.0	0.0
31	8.26	0.0	0.0
32	9.02	0.0	0.0
33	9.03	0.0	0.0
34	9.04	0.0	0.0
35	9.05	0.0	0.0
36	9.06	0.0	0.0
37	9.07	0.0	0.0
38	9.08	0.0	0.0
39	9.09	0.0	0.0
40	9.1	0.0	0.0
41	9.11	0.0	0.0
42	10.12	0.0	0.0
43	9.12	0.0	0.0
44	9.14	0.0	0.0
45	10.01	0.0	0.0
46	10.02	0.0	0.0
47	10.03	0.0	0.0
48	10.04	0.0	0.0
49	10.05	0.0	0.0
50	10.06	0.0	0.0
51	10.07	0.0	0.0
52	10.08	0.0	0.0
53	10.09	0.0	0.0
54	10.1	0.0	0.0
55	9.13	0.0	0.0
56	10.4	0.0	0.0
57	11.01	0.0	0.0
58	11.02	0.0	0.0
59	13.12	0.0	0.0
60	13.13	0.0	0.0
61	13.14	0.0	0.0
62	13.15	0.0	0.0
63	13.16	0.0	0.0
64	13.17	0.0	0.0
65	13.18	0.0	0.0
66	13.19	0.0	0.0
67	13.2	0.0	0.0
68	13.21	0.0	0.0
69	13.22	0.0	0.0
70	13.11	0.0	0.0
71	13.23	0.0	0.0
72	13.25	0.0	0.0
73	13.26	0.0	0.0
74	14.01	0.0	0.0
75	14.02	0.0	0.0
76	14.03	0.0	0.0
77	15.1	0.0	0.0
78	15.2	0.0	0.0
79	15.3	0.0	0.0
80	15.4	0.0	0.0
81	15.5	0.0	0.0
82	15.6	0.0	0.0
83	13.24	0.0	0.0
84	13.1	0.0	0.0
85	13.09	0.0	0.0
86	13.08	0.0	0.0
87	11.03	0.0	0.0
88	11.04	0.0	0.0
89	11.05	0.0	0.0
90	11.06	0.0	0.0
91	11.07	0.0	0.0
92	11.08	0.0	0.0
93	11.09	0.0	0.0
94	11.1	0.0	0.0
95	11.11	0.0	0.0
96	11.12	0.0	0.0
97	11.13	0.0	0.0
98	11.14	0.0	0.0
99	11.15	0.0	0.0
100	11.16	0.0	0.0
101	11.17	0.0	0.0
102	11.18	0.0	0.0
103	11.19	0.0	0.0
104	11.2	0.0	0.0
105	13.01	0.0	0.0
106	13.02	0.0	0.0
107	13.03	0.0	0.0
108	13.04	0.0	0.0
109	13.05	0.0	0.0
110	13.06	0.0	0.0
111	13.07	0.0	0.0
112	8.25	0.0	0.0
113	8.24	0.0	0.0
114	8.23	0.0	0.0
115	8.22	0.0	0.0
116	5.31	0.0	0.0
117	5.32	0.0	0.0
118	5.33	0.0	0.0
119	5.34	0.0	0.0
120	5.35	0.0	0.0
121	5.36	0.0	0.0
122	5.37	0.0	0.0
123	5.38	0.0	0.0
124	5.39	0.0	0.0
125	5.4	0.0	0.0
126	5.41	0.0	0.0
127	5.3	0.0	0.0
128	5.42	0.0	0.0
129	5.44	0.0	0.0
130	5.45	0.0	0.0
131	5.46	0.0	0.0
132	5.47	0.0	0.0
133	5.48	0.0	0.0
134	5.49	0.0	0.0
135	5.5	0.0	0.0
136	5.51	0.0	0.0
137	6.01	0.0	0.0
138	6.02	0.0	0.0
139	6.03	0.0	0.0
140	5.43	0.0	0.0
141	5.29	0.0	0.0
142	5.28	0.0	0.0
143	5.27	0.0	0.0
144	5.02	0.0	0.0
145	5.03	0.0	0.0
146	5.04	0.0	0.0
147	5.05	0.0	0.0
148	5.06	0.0	0.0
149	5.07	0.0	0.0
150	5.08	0.0	0.0
151	5.09	0.0	0.0
152	5.1	0.0	0.0
153	5.11	0.0	0.0
154	5.12	0.0	0.0
155	5.13	0.0	0.0
156	5.14	0.0	0.0
157	5.15	0.0	0.0
158	5.16	0.0	0.0
159	5.17	0.0	0.0
160	5.18	0.0	0.0
161	5.19	0.0	0.0
162	5.2	0.0	0.0
163	5.21	0.0	0.0
164	5.22	0.0	0.0
165	5.23	0.0	0.0
166	5.24	0.0	0.0
167	5.25	0.0	0.0
168	5.26	0.0	0.0
169	6.04	0.0	0.0
170	15.7	0.0	0.0
171	6.05	0.0	0.0
172	6.07	0.0	0.0
173	7.17	0.0	0.0
174	7.18	0.0	0.0
175	7.19	0.0	0.0
176	7.2	0.0	0.0
177	8.01	0.0	0.0
178	8.02	0.0	0.0
179	8.03	0.0	0.0
180	8.04	0.0	0.0
181	8.05	0.0	0.0
182	8.06	0.0	0.0
183	8.07	0.0	0.0
184	7.16	0.0	0.0
185	8.08	0.0	0.0
186	8.1	0.0	0.0
187	8.11	0.0	0.0
188	8.12	0.0	0.0
189	8.13	0.0	0.0
190	8.14	0.0	0.0
191	8.15	0.0	0.0
192	8.16	0.0	0.0
193	8.18	0.0	0.0
194	8.19	0.0	0.0
195	8.2	0.0	0.0
196	8.21	0.0	0.0
197	8.09	0.0	0.0
198	7.15	0.0	0.0
199	7.14	0.0	0.0
200	7.13	0.0	0.0
201	6.08	0.0	0.0
202	6.09	0.0	0.0
203	6.1	0.0	0.0
204	6.11	0.0	0.0
205	6.12	0.0	0.0
206	6.13	0.0	0.0
207	6.14	0.0	0.0
208	6.15	0.0	0.0
209	6.16	0.0	0.0
210	6.17	0.0	0.0
211	6.18	0.0	0.0
212	6.19	0.0	0.0
213	6.2	0.0	0.0
214	7.01	0.0	0.0
215	7.02	0.0	0.0
216	7.03	0.0	0.0
217	7.04	0.0	0.0
218	7.05	0.0	0.0
219	7.06	0.0	0.0
220	7.07	0.0	0.0
221	7.08	0.0	0.0
222	7.09	0.0	0.0
223	7.1	0.0	0.0
224	7.11	0.0	0.0
225	7.12	0.0	0.0
226	6.06	0.0	0.0
227	15.8	0.0	0.0