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datasets/bike.csv
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Recency,Frequency,Monetary,Time,Class
2,50,12500,98,1
0,13,3250,28,1
1,16,4000,35,1
2,20,5000,45,1
1,24,6000,77,0
4,4,1000,4,0
2,7,1750,14,1
1,12,3000,35,0
2,9,2250,22,1
5,46,11500,98,1
4,23,5750,58,0
0,3,750,4,0
2,10,2500,28,1
1,13,3250,47,0
2,6,1500,15,1
2,5,1250,11,1
2,14,3500,48,1
2,15,3750,49,1
2,6,1500,15,1
2,3,750,4,1
2,3,750,4,1
4,11,2750,28,0
2,6,1500,16,1
2,6,1500,16,1
9,9,2250,16,0
4,14,3500,40,0
4,6,1500,14,0
4,12,3000,34,1
4,5,1250,11,1
4,8,2000,21,0
1,14,3500,58,0
4,10,2500,28,1
4,10,2500,28,1
4,9,2250,26,1
2,16,4000,64,0
2,8,2000,28,1
2,12,3000,47,1
4,6,1500,16,1
2,14,3500,57,1
4,7,1750,22,1
2,13,3250,53,1
2,5,1250,16,0
2,5,1250,16,1
2,5,1250,16,0
4,20,5000,69,1
4,9,2250,28,1
2,9,2250,36,0
2,2,500,2,0
2,2,500,2,0
2,2,500,2,0
2,11,2750,46,0
2,11,2750,46,1
2,6,1500,22,0
2,12,3000,52,0
4,5,1250,14,1
4,19,4750,69,1
4,8,2000,26,1
2,7,1750,28,1
2,16,4000,81,0
3,6,1500,21,0
2,7,1750,29,0
2,8,2000,35,1
2,10,2500,49,0
4,5,1250,16,1
2,3,750,9,1
3,16,4000,74,0
2,4,1000,14,1
0,2,500,4,0
4,7,1750,25,0
1,9,2250,51,0
2,4,1000,16,0
2,4,1000,16,0
4,17,4250,71,1
2,2,500,4,0
2,2,500,4,1
2,2,500,4,1
2,4,1000,16,1
2,2,500,4,0
2,2,500,4,0
2,2,500,4,0
4,6,1500,23,1
2,4,1000,16,0
2,4,1000,16,0
2,4,1000,16,0
2,6,1500,28,1
2,6,1500,28,0
4,2,500,4,0
4,2,500,4,0
4,2,500,4,0
2,7,1750,35,1
4,2,500,4,1
4,2,500,4,0
4,2,500,4,0
4,2,500,4,0
12,11,2750,23,0
4,7,1750,28,0
3,17,4250,86,0
4,9,2250,38,1
4,4,1000,14,1
5,7,1750,26,1
4,8,2000,34,1
2,13,3250,76,1
4,9,2250,40,0
2,5,1250,26,0
2,5,1250,26,0
6,17,4250,70,0
0,8,2000,59,0
3,5,1250,26,0
2,3,750,14,0
2,10,2500,64,0
4,5,1250,23,1
4,9,2250,46,0
4,5,1250,23,0
4,8,2000,40,1
2,12,3000,82,0
11,24,6000,64,0
2,7,1750,46,1
4,11,2750,61,0
1,7,1750,57,0
2,11,2750,79,1
2,3,750,16,1
4,5,1250,26,1
2,6,1500,41,1
2,5,1250,33,1
2,4,1000,26,0
2,5,1250,34,0
4,8,2000,46,1
2,4,1000,26,0
4,8,2000,48,1
2,2,500,10,1
4,5,1250,28,0
2,12,3000,95,0
2,2,500,10,0
4,6,1500,35,0
2,11,2750,88,0
2,3,750,19,0
2,5,1250,37,0
2,12,3000,98,0
9,5,1250,19,0
2,2,500,11,0
2,9,2250,74,0
5,14,3500,86,0
4,3,750,16,0
4,3,750,16,0
4,2,500,9,1
4,3,750,16,1
6,3,750,14,0
2,2,500,11,0
2,2,500,11,1
2,2,500,11,0
2,7,1750,58,1
4,6,1500,39,0
4,11,2750,78,0
2,1,250,2,1
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,1
2,1,250,2,1
2,1,250,2,1
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
11,10,2500,35,0
11,4,1000,16,1
4,5,1250,33,1
4,6,1500,41,1
2,3,750,22,0
4,4,1000,26,1
10,4,1000,16,0
2,4,1000,35,0
4,12,3000,88,0
13,8,2000,26,0
11,9,2250,33,0
4,5,1250,34,0
4,4,1000,26,0
8,15,3750,77,0
4,5,1250,35,1
4,7,1750,52,0
4,7,1750,52,0
2,4,1000,35,0
11,11,2750,42,0
2,2,500,14,0
2,5,1250,47,1
9,8,2000,38,1
4,6,1500,47,0
11,7,1750,29,0
9,9,2250,45,0
4,6,1500,52,0
4,7,1750,58,0
6,2,500,11,1
4,7,1750,58,0
11,9,2250,38,0
11,6,1500,26,0
2,2,500,16,0
2,7,1750,76,0
11,6,1500,27,0
11,3,750,14,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,1
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,1
4,1,250,4,1
4,1,250,4,0
4,1,250,4,1
4,1,250,4,1
4,1,250,4,0
4,3,750,24,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,1
4,1,250,4,0
10,8,2000,39,0
14,7,1750,26,0
8,10,2500,63,0
11,3,750,15,0
4,2,500,14,0
2,4,1000,43,0
8,9,2250,58,0
8,8,2000,52,1
11,22,5500,98,0
4,3,750,25,1
11,17,4250,79,1
9,2,500,11,0
4,5,1250,46,0
11,12,3000,58,0
7,12,3000,86,0
11,2,500,11,0
11,2,500,11,0
11,2,500,11,0
2,6,1500,75,0
11,8,2000,41,1
11,3,750,16,1
12,13,3250,59,0
2,3,750,35,0
16,8,2000,28,0
11,7,1750,37,0
4,3,750,28,0
12,12,3000,58,0
4,4,1000,41,0
11,14,3500,73,1
2,2,500,23,0
2,3,750,38,1
4,5,1250,58,0
4,4,1000,43,1
3,2,500,23,0
11,8,2000,46,0
4,7,1750,82,0
13,4,1000,21,0
16,11,2750,40,0
16,7,1750,28,0
7,2,500,16,0
4,5,1250,58,0
4,5,1250,58,0
4,4,1000,46,0
14,13,3250,57,0
4,3,750,34,0
14,18,4500,78,0
11,8,2000,48,0
14,16,4000,70,0
14,4,1000,22,1
14,5,1250,26,0
8,2,500,16,0
11,5,1250,33,0
11,2,500,14,0
4,2,500,23,0
9,2,500,16,1
14,5,1250,28,1
14,3,750,19,1
14,4,1000,23,1
16,12,3000,50,0
11,4,1000,28,0
11,5,1250,35,0
11,5,1250,35,0
2,4,1000,70,0
14,5,1250,28,0
14,2,500,14,0
14,2,500,14,0
14,2,500,14,0
14,2,500,14,0
14,2,500,14,0
14,2,500,14,0
2,3,750,52,0
14,6,1500,34,0
11,5,1250,37,1
4,5,1250,74,0
11,3,750,23,0
16,4,1000,23,0
16,3,750,19,0
11,5,1250,38,0
11,2,500,16,0
12,9,2250,60,0
9,1,250,9,0
9,1,250,9,0
4,2,500,29,0
11,2,500,17,0
14,4,1000,26,0
11,9,2250,72,1
11,5,1250,41,0
15,16,4000,82,0
9,5,1250,51,1
11,4,1000,34,0
14,8,2000,50,1
16,7,1750,38,0
14,2,500,16,0
2,2,500,41,0
14,16,4000,98,0
14,4,1000,28,1
16,7,1750,39,0
14,7,1750,47,0
16,6,1500,35,0
16,6,1500,35,1
11,7,1750,62,1
16,2,500,16,0
16,3,750,21,1
11,3,750,28,0
11,7,1750,64,0
11,1,250,11,1
9,3,750,34,0
14,4,1000,30,0
23,38,9500,98,0
11,6,1500,58,0
11,1,250,11,0
11,1,250,11,0
11,1,250,11,0
11,1,250,11,0
11,1,250,11,0
11,1,250,11,0
11,1,250,11,0
11,1,250,11,0
11,2,500,21,0
11,5,1250,50,0
11,2,500,21,0
16,4,1000,28,0
4,2,500,41,0
16,6,1500,40,0
14,3,750,26,0
9,2,500,26,0
21,16,4000,64,0
14,6,1500,51,0
11,2,500,24,0
4,3,750,71,0
21,13,3250,57,0
11,6,1500,71,0
14,2,500,21,1
23,15,3750,57,0
14,4,1000,38,0
11,2,500,26,0
16,5,1250,40,1
4,2,500,51,1
14,3,750,31,0
4,2,500,52,0
9,4,1000,65,0
14,4,1000,40,0
11,3,750,40,1
14,5,1250,50,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,7,1750,72,0
14,1,250,14,0
14,1,250,14,0
9,3,750,52,0
14,7,1750,73,0
11,4,1000,58,0
11,4,1000,59,0
4,2,500,59,0
11,4,1000,61,0
16,4,1000,40,0
16,10,2500,89,0
21,2,500,21,1
21,3,750,26,0
16,8,2000,76,0
21,3,750,26,1
18,2,500,23,0
23,5,1250,33,0
23,8,2000,46,0
16,3,750,34,0
14,5,1250,64,0
14,3,750,41,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,4,1000,45,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,2,500,26,0
21,2,500,23,0
16,2,500,27,0
21,2,500,23,0
21,2,500,23,0
14,4,1000,57,0
16,5,1250,60,0
23,2,500,23,0
14,5,1250,74,0
23,3,750,28,0
16,3,750,40,0
9,2,500,52,0
9,2,500,52,0
16,7,1750,87,1
14,4,1000,64,0
14,2,500,35,0
16,7,1750,93,0
21,2,500,25,0
14,3,750,52,0
23,14,3500,93,0
18,8,2000,95,0
16,3,750,46,0
11,3,750,76,0
11,2,500,52,0
11,3,750,76,0
23,12,3000,86,0
21,3,750,35,0
23,2,500,26,0
23,2,500,26,0
23,8,2000,64,0
16,3,750,50,0
23,3,750,33,0
21,3,750,38,0
23,2,500,28,0
21,1,250,21,0
21,1,250,21,0
21,1,250,21,0
21,1,250,21,0
21,1,250,21,0
21,1,250,21,0
21,1,250,21,0
21,1,250,21,0
21,1,250,21,0
21,1,250,21,1
21,1,250,21,0
21,1,250,21,0
21,5,1250,60,0
23,4,1000,45,0
21,4,1000,52,0
22,1,250,22,1
11,2,500,70,0
23,5,1250,58,0
23,3,750,40,0
23,3,750,41,0
14,3,750,83,0
21,2,500,35,0
26,5,1250,49,1
23,6,1500,70,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,4,1000,53,0
21,6,1500,86,0
23,3,750,48,0
21,2,500,41,0
21,3,750,64,0
16,2,500,70,0
21,3,750,70,0
23,4,1000,87,0
23,3,750,89,0
23,2,500,87,0
35,3,750,64,0
38,1,250,38,0
38,1,250,38,0
40,1,250,40,0
74,1,250,74,0
2,43,10750,86,1
6,22,5500,28,1
2,34,8500,77,1
2,44,11000,98,0
0,26,6500,76,1
2,41,10250,98,1
3,21,5250,42,1
2,11,2750,23,0
2,21,5250,52,1
2,13,3250,32,1
4,4,1000,4,1
2,11,2750,26,0
2,11,2750,28,0
3,14,3500,35,0
4,16,4000,38,1
4,6,1500,14,0
3,5,1250,12,1
4,33,8250,98,1
3,10,2500,33,1
4,10,2500,28,1
2,11,2750,40,1
2,11,2750,41,1
4,13,3250,39,1
1,10,2500,43,1
4,9,2250,28,0
2,4,1000,11,0
2,5,1250,16,1
2,15,3750,64,0
5,24,6000,79,0
2,6,1500,22,1
4,5,1250,16,1
2,4,1000,14,1
4,8,2000,28,0
2,4,1000,14,0
2,6,1500,26,0
4,5,1250,16,1
2,7,1750,32,1
2,6,1500,26,1
2,8,2000,38,1
2,2,500,4,1
2,6,1500,28,1
2,10,2500,52,0
4,16,4000,70,1
4,2,500,4,1
1,14,3500,95,0
4,2,500,4,1
7,14,3500,48,0
2,3,750,11,0
2,12,3000,70,1
4,7,1750,32,1
4,4,1000,16,0
2,6,1500,35,1
4,6,1500,28,1
2,3,750,14,0
2,4,1000,23,0
4,4,1000,18,0
5,6,1500,28,0
4,6,1500,30,0
14,5,1250,14,0
3,8,2000,50,0
4,11,2750,64,1
4,9,2250,52,0
4,16,4000,98,1
7,10,2500,47,0
4,14,3500,86,0
2,9,2250,75,0
4,6,1500,35,0
4,9,2250,55,0
4,6,1500,35,1
2,6,1500,45,0
2,6,1500,47,0
4,2,500,9,0
2,2,500,11,1
2,2,500,11,0
2,2,500,11,1
4,6,1500,38,1
3,4,1000,29,1
9,9,2250,38,0
11,5,1250,18,0
2,3,750,21,0
2,1,250,2,0
2,1,250,2,1
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,1
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
2,1,250,2,0
11,11,2750,38,0
2,3,750,22,0
9,11,2750,49,1
5,11,2750,75,0
3,5,1250,38,0
3,1,250,3,1
4,6,1500,43,0
2,3,750,24,0
12,11,2750,39,0
2,2,500,14,0
4,6,1500,46,0
9,3,750,14,0
14,8,2000,26,0
4,2,500,13,0
4,11,2750,95,0
2,7,1750,77,0
2,7,1750,77,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,1
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,0
4,1,250,4,1
4,1,250,4,0
4,7,1750,62,0
4,1,250,4,0
4,4,1000,34,1
11,6,1500,28,0
13,3,750,14,1
7,5,1250,35,0
9,9,2250,54,0
11,2,500,11,0
2,5,1250,63,0
7,11,2750,89,0
8,9,2250,64,0
2,2,500,22,0
6,3,750,26,0
12,15,3750,71,0
13,3,750,16,0
11,16,4000,89,0
4,5,1250,58,0
14,7,1750,35,0
11,4,1000,27,0
7,9,2250,89,1
11,8,2000,52,1
7,5,1250,52,0
11,6,1500,41,0
10,5,1250,38,0
14,2,500,14,1
14,2,500,14,0
14,2,500,14,0
2,2,500,33,0
11,3,750,23,0
14,8,2000,46,0
9,1,250,9,0
16,5,1250,27,0
14,4,1000,26,0
4,2,500,30,0
14,3,750,21,0
16,16,4000,77,0
4,2,500,31,0
14,8,2000,50,0
11,3,750,26,0
14,7,1750,45,0
15,5,1250,33,0
16,2,500,16,0
16,3,750,21,0
11,8,2000,72,0
11,1,250,11,0
11,1,250,11,0
11,1,250,11,0
11,1,250,11,1
11,1,250,11,0
2,3,750,75,1
2,3,750,77,0
16,4,1000,28,0
16,15,3750,87,0
16,14,3500,83,0
16,10,2500,62,0
16,3,750,23,0
14,3,750,26,0
23,19,4750,62,0
11,7,1750,75,0
14,3,750,28,0
20,14,3500,69,1
4,2,500,46,0
11,2,500,25,0
11,3,750,37,0
16,4,1000,33,0
21,7,1750,38,0
13,7,1750,76,0
16,6,1500,50,0
14,3,750,33,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
14,1,250,14,0
17,7,1750,58,1
14,3,750,35,0
14,3,750,35,0
16,7,1750,64,0
21,2,500,21,0
16,3,750,35,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
16,1,250,16,0
14,2,500,29,0
11,4,1000,74,0
11,2,500,38,1
21,6,1500,48,0
23,2,500,23,0
23,6,1500,45,0
14,2,500,35,1
16,6,1500,81,0
16,4,1000,58,0
16,5,1250,71,0
21,2,500,26,0
21,3,750,35,0
21,3,750,35,0
23,8,2000,69,0
21,3,750,38,0
23,3,750,35,0
21,3,750,40,0
23,2,500,28,0
21,1,250,21,0
21,1,250,21,0
25,6,1500,50,0
21,1,250,21,0
21,1,250,21,0
23,3,750,39,0
21,2,500,33,0
14,3,750,79,0
23,1,250,23,1
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,1,250,23,0
23,4,1000,52,0
23,1,250,23,0
23,7,1750,88,0
16,3,750,86,0
23,2,500,38,0
21,2,500,52,0
23,3,750,62,0
39,1,250,39,0
72,1,250,72,0
datasets/diabetes.csv 0 → 100644
浏览文件 @ 5e75f9f2
此差异已折叠。
datasets/energy.csv 0 → 100644
浏览文件 @ 5e75f9f2
此差异已折叠。
datasets/heart.csv
浏览文件 @ 5e75f9f2
此差异已折叠。
datasets/index.csv
浏览文件 @ 5e75f9f2
......@@ -3,46 +3,51 @@ anomaly,Multivariate,Anomaly Detection,None,1000,10,N
france,Multivariate,Association Rule Mining,"InvoiceNo, Description",8557,8,N
germany,Multivariate,Association Rule Mining,"InvoiceNo, Description",9495,8,N
bank,Multivariate,Classification (Binary),deposit,45211,17,N
blood,Multivariate,Classification (Binary),Class,748,5,N
cancer,Multivariate,Classification (Binary),Class,683,10,N
credit,Multivariate,Classification (Binary),default,24000,24,N
diabetes,Multivariate,Classification (Binary),Class variable,768,9,N
electrical_grid,Multivariate,Classification (Binary),stabf,10000,14,N
employee,Multivariate,Classification (Binary),left,14999,10,N
heart,Multivariate,Classification (Binary),DEATH,200,17,N
heart,Multivariate,Classification (Binary),DEATH,200,16,N
heart_disease,Multivariate,Classification (Binary),Disease,270,14,N
hepatitis,Multivariate,Classification (Binary),Class,154,32,Y
income,Multivariate,Classification (Binary),income >50K,32561,14,Y
iris,Multivariate,Classification (Binary),Class,100,5,N
juice,Multivariate,Classification (Binary),Purchase,1070,15,N
wine,Multivariate,Classification (Binary),type,6498,13,N
nba,Multivariate,Classification (Binary),TARGET_5Yrs,1340,21,N
wine,Multivariate,Classification (Binary),type,6498,13,N
telescope,Multivariate,Classification (Binary),Class,19020,11,N
glass,Multivariate,Classification (Multiclass),Type,214,10,N
iris,Multivariate,Classification (Multiclass),species,150,5,N
poker,Multivariate,Classification (Multiclass),CLASS,100000,11,N
satellite,Multivariate,Classification (Multiclass),Class,6435,37,N
questions,Multivariate,Classification (Multiclass),Next_Question,499,4,N
satellite,Multivariate,Classification (Multiclass),Class,6435,37,N
asia_gdp,Multivariate,Clustering,None,40,11,N
elections,Multivariate,Clustering,None,3195,54,Y
facebook,Multivariate,Clustering,None,7050,12,N
ipl,Multivariate,Clustering,None,153,25,N
jewellery,Multivariate,Clustering,None,505,4,N
mice,Multivariate,Clustering,None,1080,82,Y
migration,Multivariate,Clustering,None,233,12,N
perfume,Multivariate,Clustering,None,20,29,N
pokemon,Multivariate,Clustering,None,800,13,Y
seeds,Multivariate,Clustering,None,210,7,N
wholesale,Multivariate,Clustering,None,440,8,N
population,Multivariate,Clustering,None,255,56,Y
public_health,Multivariate,Clustering,None,224,21,N
migration,Multivariate,Clustering,None,233,12,N
seeds,Multivariate,Clustering,None,210,7,N
wholesale,Multivariate,Clustering,None,440,8,N
tweets,Text,NLP,tweet,8594,2,N
amazon,Text,NLP / Classification,reviewText,20000,2,N
kiva,Text,NLP / Classification,en,6818,7,N
spx,Text,NLP / Regression,text,874,4,N
wikipedia,Text,NLP / Classification,Text,500,3,N
automobile,Multivariate,Regression,price,202,26,Y
bike,Multivariate,Regression,cnt,17379,15,N
boston,Multivariate,Regression,medv,506,14,N
concrete,Multivariate,Regression,strength,1030,9,N
diamond,Multivariate,Regression,Price,6000,8,N
energy,Multivariate,Regression,Heating Load / Cooling Load,768,10,N
forest,Multivariate,Regression,area,517,13,N
gold,Multivariate,Regression,Gold_T+22,2558,121,N
house,Multivariate,Regression,SalePrice,1461,81,Y
traffic,Multivariate,Regression,traffic_volume,48204,8,N
parkinsons,Multivariate,Regression,PPE,5875,22,N
traffic,Multivariate,Regression,traffic_volume,48204,8,N
datasets/iris.csv
浏览文件 @ 5e75f9f2
Class,sepal-length,sepal-width,petal-length,petal-width
1,6.3,2.9,5.6,1.8
0,4.8,3.4,1.6,0.2
1,7.2,3.2,6,1.8
0,5.2,3.4,1.4,0.2
1,6.7,3.1,5.6,2.4
0,4.9,3.6,1.4,0.1
0,5.5,3.5,1.3,0.2
0,5.3,3.7,1.5,0.2
1,6.4,3.1,5.5,1.8
1,6.1,2.6,5.6,1.4
1,6,3,4.8,1.8
1,6,2.2,5,1.5
0,4.4,3,1.3,0.2
0,5.4,3.9,1.3,0.4
1,5.8,2.7,5.1,1.9
0,4.8,3,1.4,0.3
0,5.1,3.7,1.5,0.4
0,5.1,3.8,1.6,0.2
0,5,3.3,1.4,0.2
1,7.6,3,6.6,2.1
0,4.6,3.2,1.4,0.2
0,4.6,3.4,1.4,0.3
1,7.7,2.6,6.9,2.3
1,6.4,2.8,5.6,2.2
0,4.3,3,1.1,0.1
1,7.1,3,5.9,2.1
0,5.4,3.4,1.5,0.4
1,5.7,2.5,5,2
1,6.3,2.5,5,1.9
1,6.1,3,4.9,1.8
0,5.7,4.4,1.5,0.4
1,7.7,2.8,6.7,2
1,6.3,3.4,5.6,2.4
1,5.8,2.7,5.1,1.9
0,4.8,3.4,1.9,0.2
1,6.2,3.4,5.4,2.3
0,5.1,3.5,1.4,0.2
1,7.4,2.8,6.1,1.9
0,4.7,3.2,1.6,0.2
0,4.9,3.1,1.5,0.2
1,7.7,3,6.1,2.3
1,7.9,3.8,6.4,2
1,6.9,3.2,5.7,2.3
0,5.8,4,1.2,0.2
0,5.2,3.5,1.5,0.2
1,6.4,2.7,5.3,1.9
0,4.4,3.2,1.3,0.2
0,5,3,1.6,0.2
0,4.6,3.6,1,0.2
1,6.3,2.7,4.9,1.8
1,6.3,3.3,6,2.5
0,5.1,3.8,1.5,0.3
1,5.6,2.8,4.9,2
1,6.7,3.3,5.7,2.5
0,5,3.5,1.6,0.6
1,6.4,2.8,5.6,2.1
1,7.2,3.6,6.1,2.5
1,5.8,2.8,5.1,2.4
0,4.4,2.9,1.4,0.2
1,6.9,3.1,5.1,2.3
1,6.4,3.2,5.3,2.3
0,4.8,3,1.4,0.1
0,5.4,3.7,1.5,0.2
0,4.7,3.2,1.3,0.2
1,6.3,2.8,5.1,1.5
0,5.1,3.3,1.7,0.5
0,5,3.4,1.5,0.2
0,5,3.6,1.4,0.2
0,5.1,3.8,1.9,0.4
0,4.8,3.1,1.6,0.2
1,7.3,2.9,6.3,1.8
1,6.7,3.3,5.7,2.1
1,5.9,3,5.1,1.8
1,6.5,3.2,5.1,2
1,7.2,3,5.8,1.6
1,6.9,3.1,5.4,2.1
0,5.4,3.4,1.7,0.2
1,7.7,3.8,6.7,2.2
0,5.7,3.8,1.7,0.3
0,5,3.5,1.3,0.3
1,4.9,2.5,4.5,1.7
1,6.5,3,5.5,1.8
0,5.1,3.5,1.4,0.3
0,4.9,3,1.4,0.2
1,6.7,2.5,5.8,1.8
0,4.5,2.3,1.3,0.3
0,5,3.2,1.2,0.2
1,6.8,3.2,5.9,2.3
1,6.8,3,5.5,2.1
0,5.4,3.9,1.7,0.4
0,4.9,3.1,1.5,0.1
0,4.6,3.1,1.5,0.2
0,5.1,3.4,1.5,0.2
1,6.2,2.8,4.8,1.8
0,5,3.4,1.6,0.4
1,6.5,3,5.2,2
0,5.2,4.1,1.5,0.1
1,6.7,3,5.2,2.3
0,5.5,4.2,1.4,0.2
1,6.5,3,5.8,2.2
sepal_length,sepal_width,petal_length,petal_width,species
5.1,3.5,1.4,0.2,Iris-setosa
4.9,3,1.4,0.2,Iris-setosa
4.7,3.2,1.3,0.2,Iris-setosa
4.6,3.1,1.5,0.2,Iris-setosa
5,3.6,1.4,0.2,Iris-setosa
5.4,3.9,1.7,0.4,Iris-setosa
4.6,3.4,1.4,0.3,Iris-setosa
5,3.4,1.5,0.2,Iris-setosa
4.4,2.9,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
5.4,3.7,1.5,0.2,Iris-setosa
4.8,3.4,1.6,0.2,Iris-setosa
4.8,3,1.4,0.1,Iris-setosa
4.3,3,1.1,0.1,Iris-setosa
5.8,4,1.2,0.2,Iris-setosa
5.7,4.4,1.5,0.4,Iris-setosa
5.4,3.9,1.3,0.4,Iris-setosa
5.1,3.5,1.4,0.3,Iris-setosa
5.7,3.8,1.7,0.3,Iris-setosa
5.1,3.8,1.5,0.3,Iris-setosa
5.4,3.4,1.7,0.2,Iris-setosa
5.1,3.7,1.5,0.4,Iris-setosa
4.6,3.6,1,0.2,Iris-setosa
5.1,3.3,1.7,0.5,Iris-setosa
4.8,3.4,1.9,0.2,Iris-setosa
5,3,1.6,0.2,Iris-setosa
5,3.4,1.6,0.4,Iris-setosa
5.2,3.5,1.5,0.2,Iris-setosa
5.2,3.4,1.4,0.2,Iris-setosa
4.7,3.2,1.6,0.2,Iris-setosa
4.8,3.1,1.6,0.2,Iris-setosa
5.4,3.4,1.5,0.4,Iris-setosa
5.2,4.1,1.5,0.1,Iris-setosa
5.5,4.2,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
5,3.2,1.2,0.2,Iris-setosa
5.5,3.5,1.3,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
4.4,3,1.3,0.2,Iris-setosa
5.1,3.4,1.5,0.2,Iris-setosa
5,3.5,1.3,0.3,Iris-setosa
4.5,2.3,1.3,0.3,Iris-setosa
4.4,3.2,1.3,0.2,Iris-setosa
5,3.5,1.6,0.6,Iris-setosa
5.1,3.8,1.9,0.4,Iris-setosa
4.8,3,1.4,0.3,Iris-setosa
5.1,3.8,1.6,0.2,Iris-setosa
4.6,3.2,1.4,0.2,Iris-setosa
5.3,3.7,1.5,0.2,Iris-setosa
5,3.3,1.4,0.2,Iris-setosa
7,3.2,4.7,1.4,Iris-versicolor
6.4,3.2,4.5,1.5,Iris-versicolor
6.9,3.1,4.9,1.5,Iris-versicolor
5.5,2.3,4,1.3,Iris-versicolor
6.5,2.8,4.6,1.5,Iris-versicolor
5.7,2.8,4.5,1.3,Iris-versicolor
6.3,3.3,4.7,1.6,Iris-versicolor
4.9,2.4,3.3,1,Iris-versicolor
6.6,2.9,4.6,1.3,Iris-versicolor
5.2,2.7,3.9,1.4,Iris-versicolor
5,2,3.5,1,Iris-versicolor
5.9,3,4.2,1.5,Iris-versicolor
6,2.2,4,1,Iris-versicolor
6.1,2.9,4.7,1.4,Iris-versicolor
5.6,2.9,3.6,1.3,Iris-versicolor
6.7,3.1,4.4,1.4,Iris-versicolor
5.6,3,4.5,1.5,Iris-versicolor
5.8,2.7,4.1,1,Iris-versicolor
6.2,2.2,4.5,1.5,Iris-versicolor
5.6,2.5,3.9,1.1,Iris-versicolor
5.9,3.2,4.8,1.8,Iris-versicolor
6.1,2.8,4,1.3,Iris-versicolor
6.3,2.5,4.9,1.5,Iris-versicolor
6.1,2.8,4.7,1.2,Iris-versicolor
6.4,2.9,4.3,1.3,Iris-versicolor
6.6,3,4.4,1.4,Iris-versicolor
6.8,2.8,4.8,1.4,Iris-versicolor
6.7,3,5,1.7,Iris-versicolor
6,2.9,4.5,1.5,Iris-versicolor
5.7,2.6,3.5,1,Iris-versicolor
5.5,2.4,3.8,1.1,Iris-versicolor
5.5,2.4,3.7,1,Iris-versicolor
5.8,2.7,3.9,1.2,Iris-versicolor
6,2.7,5.1,1.6,Iris-versicolor
5.4,3,4.5,1.5,Iris-versicolor
6,3.4,4.5,1.6,Iris-versicolor
6.7,3.1,4.7,1.5,Iris-versicolor
6.3,2.3,4.4,1.3,Iris-versicolor
5.6,3,4.1,1.3,Iris-versicolor
5.5,2.5,4,1.3,Iris-versicolor
5.5,2.6,4.4,1.2,Iris-versicolor
6.1,3,4.6,1.4,Iris-versicolor
5.8,2.6,4,1.2,Iris-versicolor
5,2.3,3.3,1,Iris-versicolor
5.6,2.7,4.2,1.3,Iris-versicolor
5.7,3,4.2,1.2,Iris-versicolor
5.7,2.9,4.2,1.3,Iris-versicolor
6.2,2.9,4.3,1.3,Iris-versicolor
5.1,2.5,3,1.1,Iris-versicolor
5.7,2.8,4.1,1.3,Iris-versicolor
6.3,3.3,6,2.5,Iris-virginica
5.8,2.7,5.1,1.9,Iris-virginica
7.1,3,5.9,2.1,Iris-virginica
6.3,2.9,5.6,1.8,Iris-virginica
6.5,3,5.8,2.2,Iris-virginica
7.6,3,6.6,2.1,Iris-virginica
4.9,2.5,4.5,1.7,Iris-virginica
7.3,2.9,6.3,1.8,Iris-virginica
6.7,2.5,5.8,1.8,Iris-virginica
7.2,3.6,6.1,2.5,Iris-virginica
6.5,3.2,5.1,2,Iris-virginica
6.4,2.7,5.3,1.9,Iris-virginica
6.8,3,5.5,2.1,Iris-virginica
5.7,2.5,5,2,Iris-virginica
5.8,2.8,5.1,2.4,Iris-virginica
6.4,3.2,5.3,2.3,Iris-virginica
6.5,3,5.5,1.8,Iris-virginica
7.7,3.8,6.7,2.2,Iris-virginica
7.7,2.6,6.9,2.3,Iris-virginica
6,2.2,5,1.5,Iris-virginica
6.9,3.2,5.7,2.3,Iris-virginica
5.6,2.8,4.9,2,Iris-virginica
7.7,2.8,6.7,2,Iris-virginica
6.3,2.7,4.9,1.8,Iris-virginica
6.7,3.3,5.7,2.1,Iris-virginica
7.2,3.2,6,1.8,Iris-virginica
6.2,2.8,4.8,1.8,Iris-virginica
6.1,3,4.9,1.8,Iris-virginica
6.4,2.8,5.6,2.1,Iris-virginica
7.2,3,5.8,1.6,Iris-virginica
7.4,2.8,6.1,1.9,Iris-virginica
7.9,3.8,6.4,2,Iris-virginica
6.4,2.8,5.6,2.2,Iris-virginica
6.3,2.8,5.1,1.5,Iris-virginica
6.1,2.6,5.6,1.4,Iris-virginica
7.7,3,6.1,2.3,Iris-virginica
6.3,3.4,5.6,2.4,Iris-virginica
6.4,3.1,5.5,1.8,Iris-virginica
6,3,4.8,1.8,Iris-virginica
6.9,3.1,5.4,2.1,Iris-virginica
6.7,3.1,5.6,2.4,Iris-virginica
6.9,3.1,5.1,2.3,Iris-virginica
5.8,2.7,5.1,1.9,Iris-virginica
6.8,3.2,5.9,2.3,Iris-virginica
6.7,3.3,5.7,2.5,Iris-virginica
6.7,3,5.2,2.3,Iris-virginica
6.3,2.5,5,1.9,Iris-virginica
6.5,3,5.2,2,Iris-virginica
6.2,3.4,5.4,2.3,Iris-virginica
5.9,3,5.1,1.8,Iris-virginica
datasets/telescope.csv 0 → 100644
浏览文件 @ 5e75f9f2
此差异已折叠。
datasets/wikipedia.csv 0 → 100644
浏览文件 @ 5e75f9f2
此差异已折叠。
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