Datasets:

mstz
/

magic

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
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26.7897	13.7595	2.5521	0.4236	0.2174	29.6339	20.456	-2.9292	0.812	237.134	1yes
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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
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28.6609	19.1223	2.8609	0.3402	0.1894	-10.3243	-23.1846	11.4633	20.7574	199.059	1yes
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38.1817	15.9235	2.6906	0.3262	0.1662	10.1326	26.1095	-3.1071	2.572	177.008	1yes
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63.3453	24.3855	3.4233	0.2339	0.1375	-48.6381	-19.4147	16.9773	0.64	291.553	1yes
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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
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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
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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
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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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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
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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

End of preview. Expand in Dataset Viewer.

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"]

Downloads last month: 73

Size of downloaded dataset files:

1.48 MB

Size of the auto-converted Parquet files:

1.59 MB

Number of rows:

19,020