Datasets:
Search is not available for this dataset
major_axis_length
float64 4.28
334
| minor_axis_length
float64 0
256
| log_of_sum_of_content
float64 1.94
5.32
| ratio_of_sum_of_highest_pixels_and_size
float64 0.01
0.89
| ratio_of_highest_pixel_and_size
float64 0
0.68
| projected_distance_highest_to_center_pixel
float64 -457.92
575
| third_root_of_third_moment_along_major_axis
float64 -331.78
238
| third_root_of_third_moment_along_minor_axis
float64 -205.89
180
| angle_major_axis_to_origin
float64 0
90
| distance_origin_to_center
float64 1.28
496
| class
class label 2
classes |
---|---|---|---|---|---|---|---|---|---|---|
28.7967 | 16.0021 | 2.6449 | 0.3918 | 0.1982 | 27.7004 | 22.011 | -8.2027 | 40.092 | 81.8828 | 1yes
|
31.6036 | 11.7235 | 2.5185 | 0.5303 | 0.3773 | 26.2722 | 23.8238 | -9.9574 | 6.3609 | 205.261 | 1yes
|
162.052 | 136.031 | 4.0612 | 0.0374 | 0.0187 | 116.741 | -64.858 | -45.216 | 76.96 | 256.788 | 1yes
|
23.8172 | 9.5728 | 2.3385 | 0.6147 | 0.3922 | 27.2107 | -6.4633 | -7.1513 | 10.449 | 116.737 | 1yes
|
75.1362 | 30.9205 | 3.1611 | 0.3168 | 0.1832 | -5.5277 | 28.5525 | 21.8393 | 4.648 | 356.462 | 1yes
|
51.624 | 21.1502 | 2.9085 | 0.242 | 0.134 | 50.8761 | 43.1887 | 9.8145 | 3.613 | 238.098 | 1yes
|
48.2468 | 17.3565 | 3.0332 | 0.2529 | 0.1515 | 8.573 | 38.0957 | 10.5868 | 4.792 | 219.087 | 1yes
|
26.7897 | 13.7595 | 2.5521 | 0.4236 | 0.2174 | 29.6339 | 20.456 | -2.9292 | 0.812 | 237.134 | 1yes
|
96.2327 | 46.5165 | 4.154 | 0.0779 | 0.039 | 110.355 | 85.0486 | 43.1844 | 4.854 | 248.226 | 1yes
|
46.7619 | 15.1993 | 2.5786 | 0.3377 | 0.1913 | 24.7548 | 43.8771 | -6.6812 | 7.875 | 102.251 | 1yes
|
62.7766 | 29.9104 | 3.3331 | 0.2475 | 0.1261 | -33.9065 | 57.5848 | 23.771 | 9.9144 | 323.094 | 1yes
|
18.8562 | 16.46 | 2.4385 | 0.5282 | 0.2933 | 25.1269 | -6.5401 | -16.9327 | 11.461 | 162.848 | 1yes
|
45.6321 | 22.71 | 3.0441 | 0.2213 | 0.1215 | -18.3986 | -20.6427 | -14.3164 | 0.3822 | 178.255 | 1yes
|
33.1818 | 12.4655 | 2.4955 | 0.4696 | 0.2412 | -17.0341 | -22.0762 | -8.1803 | 41.929 | 41.3816 | 1yes
|
60.458 | 33.1061 | 3.1944 | 0.4679 | 0.2464 | 14.3 | -33.8765 | 28.8315 | 8.292 | 372.568 | 1yes
|
29.4741 | 22.4581 | 2.6258 | 0.3077 | 0.174 | 18.1242 | 22.7035 | 13.1673 | 48.0364 | 214.126 | 1yes
|
36.1741 | 17.6865 | 2.946 | 0.2865 | 0.1591 | -4.7746 | -18.9697 | 11.3256 | 0.254 | 191.455 | 1yes
|
46.2915 | 16.0328 | 2.7756 | 0.3403 | 0.192 | 49.9706 | 33.3653 | -12.7979 | 38.707 | 75.5234 | 1yes
|
46.0588 | 18.787 | 3.2217 | 0.2431 | 0.1504 | 49.2704 | 34.1066 | 10.7955 | 8.686 | 180.783 | 1yes
|
44.7394 | 15.6364 | 2.638 | 0.3107 | 0.1715 | 14.043 | 37.2246 | 12.4183 | 3.251 | 221.806 | 1yes
|
91.6423 | 71.8818 | 3.8484 | 0.078 | 0.043 | -56.7107 | 72.3016 | 60.019 | 16.622 | 285.414 | 1yes
|
86.0486 | 21.8287 | 3.3587 | 0.2369 | 0.1662 | -58.7854 | 57.8212 | -18.8093 | 2.005 | 302.553 | 1yes
|
90.5299 | 17.8721 | 3.033 | 0.2122 | 0.108 | -57.417 | 84.6189 | 14.9662 | 2.039 | 272.038 | 1yes
|
20.3836 | 9.0462 | 2.3365 | 0.6359 | 0.3894 | 22.27 | 12.9487 | -2.0403 | 43.0032 | 66.1667 | 1yes
|
87.2384 | 27.935 | 2.8848 | 0.3155 | 0.1806 | -18.2102 | 66.6867 | -11.3438 | 4.4265 | 342.504 | 1yes
|
107.338 | 29.1356 | 3.5265 | 0.1315 | 0.0683 | -47.1175 | 89.5136 | -20.0479 | 3.312 | 293.781 | 1yes
|
27.2304 | 19.2817 | 2.6375 | 0.371 | 0.2039 | 23.0406 | 23.3428 | 9.7216 | 77.5379 | 104.283 | 1yes
|
26.7065 | 18.907 | 2.6781 | 0.4281 | 0.2214 | 9.1616 | 18.6858 | -11.6888 | 26.881 | 63.7637 | 1yes
|
23.5647 | 9.9926 | 2.2095 | 0.5679 | 0.3364 | 30.0056 | -13.8665 | -8.26 | 26.5328 | 185.189 | 1yes
|
34.7486 | 19.2286 | 2.5629 | 0.3666 | 0.1984 | 30.3637 | -16.3092 | 14.3186 | 1.521 | 109.445 | 1yes
|
50.4829 | 25.9699 | 3.3194 | 0.1941 | 0.1133 | 32.1193 | 39.0162 | -18.1839 | 22.471 | 141.601 | 1yes
|
87.4217 | 26.7866 | 3.4231 | 0.2809 | 0.1761 | 10.4779 | 68.3446 | -24.0948 | 0.3647 | 371.79 | 1yes
|
34.9205 | 15.9621 | 2.8457 | 0.3267 | 0.1762 | 15.8025 | 11.8249 | 11.9768 | 9.59 | 154.712 | 1yes
|
28.6609 | 19.1223 | 2.8609 | 0.3402 | 0.1894 | -10.3243 | -23.1846 | 11.4633 | 20.7574 | 199.059 | 1yes
|
75.2057 | 31.6833 | 3.1334 | 0.192 | 0.0997 | -58.1243 | 43.08 | 10.3219 | 1.5926 | 282.915 | 1yes
|
84.61 | 36.4657 | 3.6809 | 0.1393 | 0.0714 | 54.4505 | 86.0228 | 16.1472 | 17.575 | 258.597 | 1yes
|
45.6094 | 20.8103 | 3.0438 | 0.226 | 0.1162 | -0.5056 | 37.7755 | -9.2036 | 4.25 | 165.582 | 1yes
|
37.742 | 24.3346 | 3.0404 | 0.2478 | 0.1508 | 5.998 | 34.4104 | 13.7756 | 24.216 | 131.601 | 1yes
|
38.1817 | 15.9235 | 2.6906 | 0.3262 | 0.1662 | 10.1326 | 26.1095 | -3.1071 | 2.572 | 177.008 | 1yes
|
73.6263 | 35.582 | 3.4533 | 0.2493 | 0.1333 | -48.0377 | 42.6119 | -26.2742 | 4.471 | 372.317 | 1yes
|
63.3453 | 24.3855 | 3.4233 | 0.2339 | 0.1375 | -48.6381 | -19.4147 | 16.9773 | 0.64 | 291.553 | 1yes
|
16.7608 | 11.3962 | 2.2989 | 0.5829 | 0.3291 | -0.8645 | 5.0177 | -5.7427 | 62.618 | 169.688 | 1yes
|
27.6746 | 18.9149 | 2.5422 | 0.3759 | 0.2224 | 30.937 | 20.242 | 15.143 | 19.3719 | 223.241 | 1yes
|
13.2617 | 10.7145 | 2.1319 | 0.7823 | 0.4096 | 14.7178 | 2.4666 | -11.8517 | 68.604 | 107.851 | 1yes
|
61.6463 | 21.171 | 3.4303 | 0.2112 | 0.1086 | 54.8329 | 52.4882 | -18.9858 | 4.2131 | 234.581 | 1yes
|
18.6533 | 15.1674 | 2.4338 | 0.523 | 0.337 | -4.2971 | 16.0316 | 8.0971 | 4.7998 | 55.7509 | 1yes
|
38.1627 | 25.1091 | 3.1041 | 0.247 | 0.1279 | 37.2749 | 22.8564 | 16.227 | 5.5119 | 188.124 | 1yes
|
12.974 | 10.9058 | 2.1021 | 0.7431 | 0.4704 | 13.7506 | -6.2434 | -6.5973 | 42.2408 | 168.245 | 1yes
|
63.2886 | 26.427 | 3.4434 | 0.2342 | 0.1273 | -27.3566 | 54.6506 | 19.7834 | 0.9753 | 302.897 | 1yes
|
24.999 | 14.6867 | 2.5434 | 0.432 | 0.2332 | 5.8044 | 19.2386 | -10.3623 | 9.862 | 174.003 | 1yes
|
35.9913 | 19.4494 | 2.7466 | 0.3297 | 0.1801 | -34.0069 | -25.3956 | -6.3628 | 0.2425 | 175.99 | 1yes
|
44.0846 | 23.0143 | 2.8974 | 0.1963 | 0.0994 | 25.9525 | -35.1309 | 19.3011 | 16.119 | 210.596 | 1yes
|
65.3574 | 22.3483 | 2.7376 | 0.2855 | 0.1601 | -89.2907 | -31.2444 | -19.7587 | 4.874 | 272.68 | 1yes
|
43.7724 | 20.353 | 2.8982 | 0.2743 | 0.141 | 32.9358 | 38.4208 | 11.1037 | 16.25 | 273.837 | 1yes
|
33.4858 | 15.0766 | 2.7969 | 0.3623 | 0.1891 | 33.3189 | 19.1818 | -6.8774 | 12.9506 | 169.066 | 1yes
|
92.8723 | 25.685 | 3.1553 | 0.242 | 0.1619 | -25.5033 | 51.797 | -19.0013 | 7.7301 | 304.585 | 1yes
|
19.6562 | 9.7376 | 2.238 | 0.578 | 0.3266 | -24.0292 | -9.836 | -2.8001 | 63.03 | 118.341 | 1yes
|
96.8578 | 39.4755 | 3.9903 | 0.1204 | 0.0679 | -59.0369 | 66.0291 | -26.431 | 3.8107 | 340.996 | 1yes
|
95.5207 | 34.5134 | 4.1295 | 0.1005 | 0.0543 | 21.1988 | 88.912 | -15.3593 | 0.084 | 260.879 | 1yes
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22.7945 | 14.8676 | 2.567 | 0.5203 | 0.294 | -8.7481 | -20.3785 | 12.765 | 6.7835 | 110.258 | 1yes
|
66.7336 | 24.94 | 3.4357 | 0.1683 | 0.0889 | 27.3604 | 67.0539 | -7.3935 | 9.941 | 223.912 | 1yes
|
45.0172 | 18.4512 | 2.699 | 0.284 | 0.167 | -10.746 | -37.5851 | -13.6786 | 8.718 | 178.647 | 1yes
|
99.6416 | 13.5477 | 2.4362 | 0.3846 | 0.1996 | 48.7119 | 92.2613 | 7.7025 | 74.5664 | 57.7231 | 1yes
|
20.8112 | 7.1717 | 2.1255 | 0.7041 | 0.3558 | -1.5465 | 8.9641 | -6.0245 | 85.103 | 235.951 | 1yes
|
96.3755 | 31.3902 | 3.359 | 0.2179 | 0.1376 | -34.801 | 61.0636 | 20.5479 | 9.782 | 307.321 | 1yes
|
30.3331 | 14.9817 | 2.4526 | 0.4762 | 0.2416 | -32.2094 | -20.1641 | -5.1006 | 0.9075 | 74.5242 | 1yes
|
20.9491 | 7.0366 | 2.1414 | 0.7292 | 0.3935 | -22.9802 | -12.1656 | 6.0883 | 40.656 | 146.512 | 1yes
|
49.6143 | 28.1482 | 3.2641 | 0.1769 | 0.089 | 44.0893 | 26.0127 | 22.939 | 0.67 | 150.761 | 1yes
|
26.9766 | 9.7238 | 2.3064 | 0.4593 | 0.2395 | -12.3167 | 16.287 | 1.6476 | 3.675 | 197.338 | 1yes
|
29.817 | 19.8364 | 2.7372 | 0.3718 | 0.239 | 10.0066 | 23.9409 | 15.0702 | 15.9328 | 222.184 | 1yes
|
23.0242 | 13.2275 | 2.2188 | 0.4471 | 0.2326 | -25.6063 | -10.429 | 5.5499 | 33.4008 | 210.819 | 1yes
|
66.1331 | 25.9259 | 3.1984 | 0.1495 | 0.075 | 42.2957 | 50.5528 | -12.7104 | 11.5159 | 160.519 | 1yes
|
34.9502 | 16.0121 | 3.0663 | 0.297 | 0.1644 | -12.5192 | 11.1413 | -7.5776 | 17.6684 | 201.404 | 1yes
|
23.6353 | 11.4736 | 2.4661 | 0.6291 | 0.4085 | -15.6487 | -18.8315 | -9.9017 | 43.565 | 194.384 | 1yes
|
20.4754 | 15.7636 | 2.4425 | 0.4116 | 0.2148 | 2.48 | -10.4986 | -3.923 | 13.8089 | 55.4986 | 1yes
|
59.7337 | 17.0227 | 2.7997 | 0.2966 | 0.1895 | 51.0255 | 54.5868 | -14.0979 | 5.094 | 217.856 | 1yes
|
22.6397 | 10.2608 | 2.1492 | 0.5603 | 0.3156 | 23.4366 | 18.6537 | -10.8294 | 14.3756 | 251.28 | 1yes
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92.937 | 22.1354 | 3.0885 | 0.3108 | 0.1937 | 18.6509 | 48.5227 | 14.2821 | 3.497 | 358.99 | 1yes
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86.5636 | 36.8235 | 3.8026 | 0.1508 | 0.0809 | -24.0564 | 60.9768 | 26.1668 | 2.643 | 306.55 | 1yes
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39.3737 | 12.0817 | 2.7763 | 0.3213 | 0.1615 | 18.1724 | 13.6391 | 6.5266 | 3.7449 | 201.01 | 1yes
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41.2629 | 20.9786 | 3.1361 | 0.2807 | 0.1626 | 23.2559 | 43.3331 | 12.715 | 7.6147 | 219.077 | 1yes
|
89.8648 | 33.6384 | 3.8899 | 0.1487 | 0.0805 | 22.0971 | 98.5182 | 14.069 | 3.689 | 158.618 | 1yes
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24.999 | 17.775 | 2.5993 | 0.4327 | 0.2453 | -16.3719 | -25.5307 | 14.8483 | 81.8671 | 120.263 | 1yes
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19.5793 | 14.6976 | 2.2934 | 0.514 | 0.2824 | -6.8054 | 17.3916 | -4.9889 | 13.17 | 130.918 | 1yes
|
21.8344 | 6.832 | 2.1804 | 0.7063 | 0.3531 | 25.981 | -0.1704 | 6.6103 | 35.4993 | 95.7374 | 1yes
|
87.5837 | 33.3742 | 3.9208 | 0.125 | 0.0667 | 99.2131 | 75.0174 | -14.3854 | 2.428 | 255.315 | 1yes
|
53.7339 | 15.4395 | 2.4298 | 0.4572 | 0.2955 | -45.8108 | -40.3603 | -9.3853 | 1.886 | 32.6827 | 1yes
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34.889 | 19.6402 | 2.8429 | 0.3747 | 0.2534 | 29.9825 | 29.1531 | 12.4846 | 8.376 | 227.336 | 1yes
|
41.0677 | 16.2578 | 2.7308 | 0.3532 | 0.1812 | 47.4405 | 37.9125 | 16.1237 | 17.671 | 213.317 | 1yes
|
60.0261 | 12.245 | 2.8052 | 0.26 | 0.1433 | 3.5656 | 55.2047 | 8.5485 | 1.3841 | 230.089 | 1yes
|
70.0322 | 30.2255 | 3.1573 | 0.1775 | 0.0929 | -66.4032 | 48.4611 | -24.9966 | 2.936 | 294.746 | 1yes
|
74.5714 | 23.0735 | 2.9914 | 0.3182 | 0.1627 | -36.5281 | 63.076 | -12.2594 | 4.029 | 363.489 | 1yes
|
77.9219 | 31.8209 | 3.7043 | 0.2059 | 0.1232 | -2.4392 | 58.1668 | -14.371 | 0.2442 | 327.992 | 1yes
|
39.1755 | 26.3821 | 2.7966 | 0.345 | 0.2005 | -38.1241 | 25.4219 | 17.0574 | 6.4974 | 299.173 | 1yes
|
18.1607 | 10.4502 | 2.2718 | 0.6043 | 0.3289 | 1.7266 | -7.66 | -6.3001 | 43.3661 | 147.236 | 1yes
|
25.4762 | 12.0898 | 2.4048 | 0.4134 | 0.2303 | 7.0323 | 15.7982 | 6.2085 | 24.847 | 193.349 | 1yes
|
23.4494 | 16.2843 | 2.5605 | 0.4539 | 0.2655 | -8.8017 | -15.9867 | 10.389 | 83.8081 | 235.203 | 1yes
|
32.0586 | 15.6976 | 2.5072 | 0.3826 | 0.2037 | -2.3114 | -17.7455 | -11.3244 | 12.1807 | 193.794 | 1yes
|
18.4475 | 11.7563 | 2.4074 | 0.5714 | 0.4051 | -0.0948 | -6.5384 | 11.397 | 69.2291 | 219.394 | 1yes
|
41.4001 | 25.658 | 3.0414 | 0.2036 | 0.1023 | 39.265 | 30.5051 | -23.3496 | 0.6344 | 91.228 | 1yes
|
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YAML Metadata
Error:
"configs[0]" must be of type object
Magic
The Magic dataset from the UCI ML repository.
Configurations and tasks
Configuration | Task | Description |
---|---|---|
magic | Binary classification | Classify the person's magic as over or under the threshold. |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/magic")["train"]
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