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Darkester
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SimpleLinearRegression

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Tabular Regression

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linear_regression

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train · 549 rows

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feature1 float64 -0.05 5M	feature2 float64 -0.18 6M	feature3 float64 0.04 8.5M	feature4 float64 -0.09 5.7M	feature5 float64 -0.14 6.6M	feature6 float64 -0.04 10.1M	target float64 0.07 24.3M
5.2	3.1	7.8	2.5	4	6.3	38.7
6	2.8	8.2	3	3.5	5.9	39.1
4.8	3.5	7.5	2.8	4.2	6.1	37.3
5.5	3	8	2.7	3.8	6	38.5
6.2	2.9	7.9	3.1	3.7	5.8	39.3
5	3.3	7.6	2.6	4.1	6.2	37.8
5.7	2.7	8.1	3.2	3.6	5.7	39
4.9	3.4	7.7	2.9	4.3	6.4	37.6
5.3	3.2	7.8	2.5	4	6.1	38.4
6.1	2.8	8.3	3	3.5	5.9	39.4
5.1	3.3	7.6	2.7	4.1	6.2	37.9
5.8	2.9	8	3.1	3.7	5.8	39.2
4.7	3.5	7.5	2.6	4.2	6.3	37.2
5.6	3	8.1	2.8	3.8	6	38.8
6.3	2.7	7.9	3.2	3.6	5.7	39.5
5	3.4	7.7	2.9	4.3	6.4	37.7
5.9	2.8	8.2	2.5	3.5	6.1	39.1
4.8	3.3	7.6	3	4	5.9	37.4
5.4	2.9	8	2.7	3.7	6.2	38.6
6	3.1	7.8	3.1	4.1	5.8	39.3
5.2	3.5	7.5	2.6	4.2	6.3	37.9
5.7	3	8.1	2.8	3.8	6	38.9
6.4	2.7	7.9	3.2	3.6	5.7	39.6
4.9	3.4	7.7	2.9	4.3	6.4	37.8
5.8	2.8	8.2	2.5	3.5	6.1	39.2
4.7	3.3	7.6	3	4	5.9	37.3
5.5	2.9	8	2.7	3.7	6.2	38.7
6.1	3.1	7.8	3.1	4.1	5.8	39.4
5.3	3.5	7.5	2.6	4.2	6.3	37.8
5.9	3	8.1	2.8	3.8	6	39
6.5	2.7	7.9	3.2	3.6	5.7	39.7
4.8	3.4	7.7	2.9	4.3	6.4	37.5
5.7	2.8	8.2	2.5	3.5	6.1	39.3
4.6	3.3	7.6	3	4	5.9	37.1
5.4	2.9	8	2.7	3.7	6.2	38.5
6.2	3.1	7.8	3.1	4.1	5.8	39.5
5.1	3.5	7.5	2.6	4.2	6.3	37.7
5.8	3	8.1	2.8	3.8	6	39.1
6.6	2.7	7.9	3.2	3.6	5.7	39.8
4.9	3.4	7.7	2.9	4.3	6.4	37.9
7.1	1.9	5.4	3.3	2.7	4.8	33.2
6.4	2.3	6.1	3	3.1	5.2	34.5
7.5	2	5.8	3.5	2.9	4.5	33.8
6.8	2.2	6	3.1	3	5	34.1
7	1.8	5.5	3.4	2.8	4.7	33.4
6.3	2.4	6.2	3.2	3.2	5.3	34.7
7.2	1.9	5.6	3.3	2.9	4.9	33.5
6.5	2.3	6.1	3	3.1	5.1	34.6
7.4	2.1	5.7	3.5	2.8	4.6	33.7
6.7	2.2	6	3.2	3	5	34.2
7.3	1.9	5.5	3.4	2.7	4.8	33.3
6.6	2.4	6.2	3.1	3.2	5.2	34.8
7.1	2	5.6	3.3	2.9	4.9	33.6
6.4	2.3	6.1	3	3.1	5.1	34.5
7.5	2.1	5.8	3.5	2.8	4.7	33.9
6.8	2.2	6	3.2	3	5	34.3
7	1.9	5.5	3.4	2.7	4.8	33.4
6.3	2.4	6.2	3.1	3.2	5.3	34.7
7.2	2	5.6	3.3	2.9	4.9	33.6
6.5	2.3	6.1	3	3.1	5.1	34.6
7.4	2.1	5.7	3.5	2.8	4.6	33.7
6.7	2.2	6	3.2	3	5	34.2
7.3	1.9	5.5	3.4	2.7	4.8	33.3
6.6	2.4	6.2	3.1	3.2	5.2	34.8
7.1	2	5.6	3.3	2.9	4.9	33.6
6.4	2.3	6.1	3	3.1	5.1	34.5
7.5	2.1	5.8	3.5	2.8	4.7	33.9
6.8	2.2	6	3.2	3	5	34.3
7	1.9	5.5	3.4	2.7	4.8	33.4
6.3	2.4	6.2	3.1	3.2	5.3	34.7
7.2	2	5.6	3.3	2.9	4.9	33.6
6.5	2.3	6.1	3	3.1	5.1	34.6
7.4	2.1	5.7	3.5	2.8	4.6	33.7
6.7	2.2	6	3.2	3	5	34.2
7.3	1.9	5.5	3.4	2.7	4.8	33.3
6.6	2.4	6.2	3.1	3.2	5.2	34.8
7.1	2	5.6	3.3	2.9	4.9	33.6
6.4	2.3	6.1	3	3.1	5.1	34.5
7.5	2.1	5.8	3.5	2.8	4.7	33.9
6.8	2.2	6	3.2	3	5	34.3
7	1.9	5.5	3.4	2.7	4.8	33.4
6.3	2.4	6.2	3.1	3.2	5.3	34.7
7.2	2	5.6	3.3	2.9	4.9	33.6
6.5	2.3	6.1	3	3.1	5.1	34.6
7.4	2.1	5.7	3.5	2.8	4.6	33.7
6.7	2.2	6	3.2	3	5	34.2
7.3	1.9	5.5	3.4	2.7	4.8	33.3
6.6	2.4	6.2	3.1	3.2	5.2	34.8
12.3	15.4	20.1	13.5	18.2	22.7	65.4
14.7	14.1	23.5	12.9	19.3	21.5	69.1
13.2	16	21.7	14.3	17.8	23.1	66.8
15.9	13.8	24.2	13.1	20	20.9	70.5
11.8	15.7	19.9	14	18.5	22.3	64.7
16.4	13.5	25	12.7	19.7	21	71.2
12.9	15.1	20.8	13.9	18	22.9	66.1
14.3	14.4	23	13.2	19.1	21.8	68.7
13.7	16.3	21.4	14.5	17.6	23.4	67
15.1	13.9	24.5	13	20.2	20.7	70.9
12.1	15.6	20	14.1	18.4	22.5	65
16	13.6	25.1	12.8	19.8	21.2	71.4

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