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Datasets:
mstz
/
seeds

Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
tabular_classification
binary_classification
multiclass_classification
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
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area
float64
perimeter
float64
compactness
float64
length
float64
width
float64
asymmetry
float64
length_grove
float64
class
int64
15.26
14.84
0.871
5.763
3.312
2.221
5.22
1
14.88
14.57
0.8811
5.554
3.333
1.018
4.956
1
14.29
14.09
0.905
5.291
3.337
2.699
4.825
1
13.84
13.94
0.8955
5.324
3.379
2.259
4.805
1
16.14
14.99
0.9034
5.658
3.562
1.355
5.175
1
14.38
14.21
0.8951
5.386
3.312
2.462
4.956
1
14.69
14.49
0.8799
5.563
3.259
3.586
5.219
1
14.11
14.1
0.8911
5.42
3.302
2.7
5
1
16.63
15.46
0.8747
6.053
3.465
2.04
5.877
1
16.44
15.25
0.888
5.884
3.505
1.969
5.533
1
15.26
14.85
0.8696
5.714
3.242
4.543
5.314
1
14.03
14.16
0.8796
5.438
3.201
1.717
5.001
1
13.89
14.02
0.888
5.439
3.199
3.986
4.738
1
13.78
14.06
0.8759
5.479
3.156
3.136
4.872
1
13.74
14.05
0.8744
5.482
3.114
2.932
4.825
1
14.59
14.28
0.8993
5.351
3.333
4.185
4.781
1
13.99
13.83
0.9183
5.119
3.383
5.234
4.781
1
15.69
14.75
0.9058
5.527
3.514
1.599
5.046
1
14.7
14.21
0.9153
5.205
3.466
1.767
4.649
1
12.72
13.57
0.8686
5.226
3.049
4.102
4.914
1
14.16
14.4
0.8584
5.658
3.129
3.072
5.176
1
14.11
14.26
0.8722
5.52
3.168
2.688
5.219
1
15.88
14.9
0.8988
5.618
3.507
0.7651
5.091
1
12.08
13.23
0.8664
5.099
2.936
1.415
4.961
1
15.01
14.76
0.8657
5.789
3.245
1.791
5.001
1
16.19
15.16
0.8849
5.833
3.421
0.903
5.307
1
13.02
13.76
0.8641
5.395
3.026
3.373
4.825
1
12.74
13.67
0.8564
5.395
2.956
2.504
4.869
1
14.11
14.18
0.882
5.541
3.221
2.754
5.038
1
13.45
14.02
0.8604
5.516
3.065
3.531
5.097
1
13.16
13.82
0.8662
5.454
2.975
0.8551
5.056
1
15.49
14.94
0.8724
5.757
3.371
3.412
5.228
1
14.09
14.41
0.8529
5.717
3.186
3.92
5.299
1
13.94
14.17
0.8728
5.585
3.15
2.124
5.012
1
15.05
14.68
0.8779
5.712
3.328
2.129
5.36
1
16.12
15
0.9
5.709
3.485
2.27
5.443
1
16.2
15.27
0.8734
5.826
3.464
2.823
5.527
1
17.08
15.38
0.9079
5.832
3.683
2.956
5.484
1
14.8
14.52
0.8823
5.656
3.288
3.112
5.309
1
14.28
14.17
0.8944
5.397
3.298
6.685
5.001
1
13.54
13.85
0.8871
5.348
3.156
2.587
5.178
1
13.5
13.85
0.8852
5.351
3.158
2.249
5.176
1
13.16
13.55
0.9009
5.138
3.201
2.461
4.783
1
15.5
14.86
0.882
5.877
3.396
4.711
5.528
1
15.11
14.54
0.8986
5.579
3.462
3.128
5.18
1
13.8
14.04
0.8794
5.376
3.155
1.56
4.961
1
15.36
14.76
0.8861
5.701
3.393
1.367
5.132
1
14.99
14.56
0.8883
5.57
3.377
2.958
5.175
1
14.79
14.52
0.8819
5.545
3.291
2.704
5.111
1
14.86
14.67
0.8676
5.678
3.258
2.129
5.351
1
14.43
14.4
0.8751
5.585
3.272
3.975
5.144
1
15.78
14.91
0.8923
5.674
3.434
5.593
5.136
1
14.49
14.61
0.8538
5.715
3.113
4.116
5.396
1
14.33
14.28
0.8831
5.504
3.199
3.328
5.224
1
14.52
14.6
0.8557
5.741
3.113
1.481
5.487
1
15.03
14.77
0.8658
5.702
3.212
1.933
5.439
1
14.46
14.35
0.8818
5.388
3.377
2.802
5.044
1
14.92
14.43
0.9006
5.384
3.412
1.142
5.088
1
15.38
14.77
0.8857
5.662
3.419
1.999
5.222
1
12.11
13.47
0.8392
5.159
3.032
1.502
4.519
1
11.42
12.86
0.8683
5.008
2.85
2.7
4.607
1
11.23
12.63
0.884
4.902
2.879
2.269
4.703
1
12.36
13.19
0.8923
5.076
3.042
3.22
4.605
1
13.22
13.84
0.868
5.395
3.07
4.157
5.088
1
12.78
13.57
0.8716
5.262
3.026
1.176
4.782
1
12.88
13.5
0.8879
5.139
3.119
2.352
4.607
1
14.34
14.37
0.8726
5.63
3.19
1.313
5.15
1
14.01
14.29
0.8625
5.609
3.158
2.217
5.132
1
14.37
14.39
0.8726
5.569
3.153
1.464
5.3
1
12.73
13.75
0.8458
5.412
2.882
3.533
5.067
1
17.63
15.98
0.8673
6.191
3.561
4.076
6.06
0
16.84
15.67
0.8623
5.998
3.484
4.675
5.877
0
17.26
15.73
0.8763
5.978
3.594
4.539
5.791
0
19.11
16.26
0.9081
6.154
3.93
2.936
6.079
0
16.82
15.51
0.8786
6.017
3.486
4.004
5.841
0
16.77
15.62
0.8638
5.927
3.438
4.92
5.795
0
17.32
15.91
0.8599
6.064
3.403
3.824
5.922
0
20.71
17.23
0.8763
6.579
3.814
4.451
6.451
0
18.94
16.49
0.875
6.445
3.639
5.064
6.362
0
17.12
15.55
0.8892
5.85
3.566
2.858
5.746
0
16.53
15.34
0.8823
5.875
3.467
5.532
5.88
0
18.72
16.19
0.8977
6.006
3.857
5.324
5.879
0
20.2
16.89
0.8894
6.285
3.864
5.173
6.187
0
19.57
16.74
0.8779
6.384
3.772
1.472
6.273
0
19.51
16.71
0.878
6.366
3.801
2.962
6.185
0
18.27
16.09
0.887
6.173
3.651
2.443
6.197
0
18.88
16.26
0.8969
6.084
3.764
1.649
6.109
0
18.98
16.66
0.859
6.549
3.67
3.691
6.498
0
21.18
17.21
0.8989
6.573
4.033
5.78
6.231
0
20.88
17.05
0.9031
6.45
4.032
5.016
6.321
0
20.1
16.99
0.8746
6.581
3.785
1.955
6.449
0
18.76
16.2
0.8984
6.172
3.796
3.12
6.053
0
18.81
16.29
0.8906
6.272
3.693
3.237
6.053
0
18.59
16.05
0.9066
6.037
3.86
6.001
5.877
0
18.36
16.52
0.8452
6.666
3.485
4.933
6.448
0
16.87
15.65
0.8648
6.139
3.463
3.696
5.967
0
19.31
16.59
0.8815
6.341
3.81
3.477
6.238
0
18.98
16.57
0.8687
6.449
3.552
2.144
6.453
0
18.17
16.26
0.8637
6.271
3.512
2.853
6.273
0
18.72
16.34
0.881
6.219
3.684
2.188
6.097
0
End of preview. Expand in Data Studio

Post Operative

The Seeds dataset from the UCI repository.

Configurations and tasks

Configuration Task Description
seeds Multiclass classification.
seeds_0 Binary classification. Is the seed of class 0?
seeds_1 Binary classification. Is the seed of class 1?
seeds_2 Binary classification. Is the seed of class 2?
Downloads last month
27
Size of downloaded dataset files:
37.5 kB
Size of the auto-converted Parquet files:
54.4 kB
Number of rows:
840