dih-jupyter/data01_train.csv

1	6.1101	17.592
2	5.5277	9.1302
3	8.5186	13.662
4	7.0032	11.854
5	5.8598	6.8233
6	8.3829	11.886
7	7.4764	4.3483
8	8.5781	12
9	6.4862	6.5987
10	5.0546	3.8166
11	5.7107	3.2522
12	14.164	15.505
13	5.734	3.1551
14	8.4084	7.2258
15	5.6407	0.71618
16	5.3794	3.5129
17	6.3654	5.3048
18	5.1301	0.56077
19	6.4296	3.6518
20	7.0708	5.3893
21	6.1891	3.1386
22	20.27	21.767
23	5.4901	4.263
24	6.3261	5.1875
25	5.5649	3.0825
26	18.945	22.638
27	12.828	13.501
28	10.957	7.0467
29	13.176	14.692
30	22.203	24.147
31	5.2524	-1.22
32	6.5894	5.9966
33	9.2482	12.134
34	5.8918	1.8495
35	8.2111	6.5426
36	7.9334	4.5623
37	8.0959	4.1164
38	5.6063	3.3928
39	12.836	10.117
40	6.3534	5.4974
41	5.4069	0.55657
42	6.8825	3.9115
43	11.708	5.3854
44	5.7737	2.4406
45	7.8247	6.7318
46	7.0931	1.0463
47	5.0702	5.1337
48	5.8014	1.844
49	11.7	8.0043
50	5.5416	1.0179
51	7.5402	6.7504
52	5.3077	1.8396
53	7.4239	4.2885
54	7.6031	4.9981
55	6.3328	1.4233
56	6.3589	-1.4211
57	6.2742	2.4756
58	5.6397	4.6042
59	9.3102	3.9624
60	9.4536	5.4141
61	8.8254	5.1694
62	5.1793	-0.74279
63	21.279	17.929
64	14.908	12.054
65	18.959	17.054
66	7.2182	4.8852
67	8.2951	5.7442
68	10.236	7.7754
69	5.4994	1.0173
70	20.341	20.992
71	10.136	6.6799
72	7.3345	4.0259
73	6.0062	1.2784
74	7.2259	3.3411
75	5.0269	-2.6807
76	6.5479	0.29678
77	7.5386	3.8845
78	5.0365	5.7014
79	10.274	6.7526
80	5.1077	2.0576