MLstuff/datasets/Income2.csv

1		Education	Seniority	Income
2	1	21.5862068965517	113.103448275862	99.9171726114381
3	2	18.2758620689655	119.310344827586	92.579134855529
4	3	12.0689655172414	100.689655172414	34.6787271520874
5	4	17.0344827586207	187.586206896552	78.7028062353695
6	5	19.9310344827586	20	68.0099216471551
7	6	18.2758620689655	26.2068965517241	71.5044853814318
8	7	19.9310344827586	150.344827586207	87.9704669939115
9	8	21.1724137931034	82.0689655172414	79.8110298331255
10	9	20.3448275862069	88.2758620689655	90.00632710858
11	10	10	113.103448275862	45.6555294997364
12	11	13.7241379310345	51.0344827586207	31.9138079371295
13	12	18.6896551724138	144.137931034483	96.2829968022869
14	13	11.6551724137931	20	27.9825049000603
15	14	16.6206896551724	94.4827586206897	66.601792415137
16	15	10	187.586206896552	41.5319924201478
17	16	20.3448275862069	94.4827586206897	89.00070081522
18	17	14.1379310344828	20	28.8163007592387
19	18	16.6206896551724	44.8275862068966	57.6816942573605
20	19	16.6206896551724	175.172413793103	70.1050960424457
21	20	20.3448275862069	187.586206896552	98.8340115435447
22	21	18.2758620689655	100.689655172414	74.7046991976891
23	22	14.551724137931	137.931034482759	53.5321056283034
24	23	17.448275862069	94.4827586206897	72.0789236655191
25	24	10.4137931034483	32.4137931034483	18.5706650327685
26	25	21.5862068965517	20	78.8057842852386
27	26	11.2413793103448	44.8275862068966	21.388561306174
28	27	19.9310344827586	168.965517241379	90.8140351180409
29	28	11.6551724137931	57.2413793103448	22.6361626208955
30	29	12.0689655172414	32.4137931034483	17.613593041445
31	30	17.0344827586207	106.896551724138	74.6109601985289