Subset (8)

steel_plates_0 · 1.94k rows

Split (1)

train · 1.94k rows

Search is not available for this dataset

x_minimum int64	x_maximum int64	y_minimum int64	y_maximum int64	pixels_areas int64	x_perimeter int64	y_perimeter int64	sum_of_luminosity int64	minimum_of_luminosity int64	maximum_of_luminosity int64	length_of_conveyer int64	typeofsteel_a300 int64	typeofsteel_a400 int64	steel_plate_thickness int64	edges_index float64	empty_index float64	square_index float64	outside_x_index float64	edges_x_index float64	edges_y_index float64	outside_global_index float64	logofareas float64	log_x_index float64	log_y_index float64	orientation_index float64	luminosity_index float64	sigmoidofareas float64
900	916	693,632	693,638	53	17	8	6,697	110	143	1,692	1	0	143	0.9173	0.4479	0.375	0.0095	0.9412	0.75	0	1.7243	1.2041	0.7782	-0.625	-0.0128	0.2018
832	848	712,437	712,446	67	29	12	8,140	102	141	1,692	1	0	143	0.9834	0.5347	0.5625	0.0095	0.5517	0.75	0	1.8261	1.2041	0.9542	-0.4375	-0.0508	0.2583
1,027	1,048	787,015	787,022	76	22	10	9,934	109	148	1,692	1	0	143	0.7612	0.483	0.3333	0.0124	0.9546	0.7	0	1.8808	1.3222	0.8451	-0.6667	0.0212	0.2621
1,275	1,300	883,635	883,640	73	28	14	9,247	111	143	1,692	1	0	143	0.4634	0.416	0.2	0.0148	0.8929	0.3571	0	1.8633	1.3979	0.699	-0.8	-0.0104	0.2348
983	1,005	895,625	895,642	102	42	22	12,942	114	141	1,694	1	0	143	0.8135	0.7273	0.7727	0.013	0.5238	0.7727	0	2.0086	1.3424	1.2305	-0.2273	-0.0087	0.6173
374	382	303,204	303,209	24	10	5	3,166	124	140	1,364	0	1	130	0.5484	0.4	0.625	0.0059	0.8	1	0	1.3802	0.9031	0.699	-0.375	0.0306	0.1483
196	209	157,035	157,044	60	20	14	7,508	117	135	1,364	0	1	40	0.2874	0.4872	0.6923	0.0095	0.65	0.6429	0	1.7781	1.1139	0.9542	-0.3077	-0.0224	0.2253
122	146	203,252	203,261	95	33	22	12,566	124	143	1,362	0	1	40	0.1792	0.5602	0.375	0.0176	0.7273	0.4091	0	1.9777	1.3802	0.9542	-0.625	0.0334	0.3601
189	203	238,753	238,766	63	20	14	8,140	118	141	1,364	0	1	40	0.2771	0.6539	0.9286	0.0103	0.7	0.9286	0	1.7993	1.1461	1.1139	-0.0714	0.0094	0.3097
213	229	260,092	260,110	137	50	27	17,621	120	140	1,364	0	1	40	0.3123	0.5243	0.8889	0.0117	0.32	0.6667	1	2.1367	1.2041	1.2553	0.1111	0.0049	0.4763
345	362	283,416	283,428	60	23	18	7,914	124	143	1,364	0	1	40	0.5059	0.7059	0.7059	0.0125	0.7391	0.6667	0	1.7781	1.2305	1.0792	-0.2941	0.0305	0.3419
121	148	373,848	373,861	149	49	29	19,691	122	143	1,360	0	1	40	0.1779	0.5755	0.4815	0.0199	0.551	0.4483	0	2.1732	1.4314	1.1139	-0.5185	0.0325	0.5805
182	211	402,237	402,266	268	98	55	35,565	125	143	1,364	0	1	40	0.2669	0.6813	1	0.0213	0.2959	0.5273	0.5	2.4281	1.4624	1.4624	0	0.0368	0.9732
273	298	473,262	473,272	94	30	18	11,877	117	143	1,366	0	1	40	0.3997	0.624	0.4	0.0183	0.8333	0.5556	0	1.9731	1.3979	1	-0.6	-0.0129	0.4138
389	406	516,427	516,436	67	22	16	8,596	120	143	1,362	0	1	40	0.5712	0.5621	0.5294	0.0125	0.7727	0.5625	0	1.8261	1.2305	0.9542	-0.4706	0.0023	0.2699
856	871	531,684	531,693	54	23	16	7,145	125	143	1,362	0	1	40	0.721	0.6	0.6	0.011	0.6522	0.5625	0	1.7324	1.1761	0.9542	-0.4	0.0337	0.2469
767	788	566,837	566,850	83	28	20	10,345	115	141	1,362	0	1	40	0.8429	0.696	0.6191	0.0154	0.75	0.65	0	1.9191	1.3222	1.1139	-0.381	-0.0263	0.4514
154	169	260,124	260,136	75	27	17	9,948	125	143	1,364	0	1	40	0.2258	0.5833	0.8	0.011	0.5556	0.7059	0	1.8751	1.1761	1.0792	-0.2	0.0362	0.3068
275	299	1,133,715	1,133,734	318	39	32	39,911	116	140	1,364	0	1	40	0.4032	0.3026	0.7917	0.0176	0.6154	0.5938	0	2.5024	1.3802	1.2787	-0.2083	-0.0195	0.7359
271	291	1,488,866	1,488,885	204	38	22	23,155	105	126	1,362	0	1	40	0.3979	0.4632	0.95	0.0147	0.5263	0.8636	0	2.3096	1.301	1.2787	-0.05	-0.1132	0.6268
214	247	1,538,494	1,538,509	209	66	46	27,037	118	143	1,362	0	1	40	0.3142	0.5778	0.4545	0.0242	0.5	0.3261	0	2.3201	1.5185	1.1761	-0.5454	0.0106	0.7833
270	301	1,563,477	1,563,499	329	61	37	41,053	115	140	1,362	0	1	40	0.3965	0.5176	0.7097	0.0228	0.5082	0.5946	0	2.5172	1.4914	1.3424	-0.2903	-0.0251	0.9263
21	47	2,867,489	2,867,513	281	43	28	31,838	104	126	1,362	0	1	40	0.0308	0.5497	0.9231	0.0191	0.6047	0.8571	0	2.4487	1.415	1.3802	-0.0769	-0.1148	0.8952
23	43	2,985,008	2,985,026	170	42	20	19,738	107	125	1,364	0	1	40	0.0337	0.5278	0.9	0.0147	0.4762	0.9	0	2.2304	1.301	1.2553	-0.1	-0.0929	0.5951
21	45	3,063,739	3,063,768	277	52	42	33,476	113	128	1,362	0	1	40	0.0308	0.602	0.8276	0.0176	0.4615	0.6905	1	2.4425	1.3802	1.4624	0.1724	-0.0558	0.9324
21	39	3,411,415	3,411,438	201	46	28	23,925	112	126	1,364	0	1	40	0.0308	0.5145	0.7826	0.0132	0.3913	0.8214	1	2.3032	1.2553	1.3617	0.2174	-0.0701	0.6781
1,053	1,063	173,208	173,226	68	26	18	8,717	120	141	1,366	0	1	185	0.4436	0.6222	0.5556	0.0073	0.3846	1	1	1.8325	1	1.2553	0.4444	0.0015	0.3068
160	170	252,936	252,958	97	24	23	12,775	123	142	1,364	0	1	185	0.2346	0.5591	0.4545	0.0073	0.4167	0.9565	1	1.9868	1	1.3424	0.5454	0.0289	0.3663
1,303	1,344	33,298	33,323	452	44	26	42,686	65	117	1,366	0	1	175	0.0322	0.559	0.6098	0.03	0.9318	0.9615	0	2.6551	1.6128	1.3979	-0.3902	-0.2622	0.992
130	153	197,701	197,718	240	47	18	30,130	118	140	1,360	0	1	40	0.1912	0.3862	0.7391	0.0169	0.4894	0.9444	0	2.3802	1.3617	1.2305	-0.2609	-0.0192	0.6438
247	272	244,048	244,067	235	36	22	29,911	119	142	1,360	0	1	40	0.3632	0.5053	0.76	0.0184	0.6944	0.8636	0	2.3711	1.3979	1.2787	-0.24	-0.0056	0.7598
523	567	266,325	266,337	209	67	30	26,833	119	141	1,360	0	1	40	0.7691	0.6042	0.2727	0.0323	0.6567	0.4	0	2.3201	1.6435	1.0792	-0.7273	0.003	0.8183
239	269	276,029	276,047	299	51	22	37,820	116	140	1,360	0	1	40	0.3515	0.4463	0.6	0.0221	0.5882	0.8182	0	2.4757	1.4771	1.2553	-0.4	-0.0118	0.8299
367	422	289,647	289,665	355	116	58	46,882	123	143	1,360	0	1	40	0.5397	0.6414	0.3273	0.0404	0.4741	0.3103	0	2.5502	1.7404	1.2553	-0.6727	0.0317	0.9899
137	170	301,492	301,511	304	59	26	35,778	111	126	1,360	0	1	40	0.2015	0.5152	0.5758	0.0243	0.5593	0.7308	0	2.4829	1.5185	1.2787	-0.4242	-0.0805	0.8971
238	287	315,114	315,142	671	91	39	86,424	119	143	1,360	0	1	40	0.35	0.5109	0.5714	0.036	0.5385	0.7179	0	2.8267	1.6902	1.4472	-0.4286	0.0062	0.9992
249	277	325,780	325,796	273	54	22	35,033	119	141	1,360	0	1	40	0.3662	0.3906	0.5714	0.0206	0.5185	0.7273	0	2.4362	1.4472	1.2041	-0.4286	0.0026	0.7254
144	175	340,581	340,598	287	44	24	34,599	112	133	1,360	0	1	40	0.2118	0.4554	0.5484	0.0228	0.7046	0.7083	0	2.4579	1.4914	1.2305	-0.4516	-0.0582	0.8173
145	174	386,779	386,794	292	40	22	37,572	120	140	1,360	0	1	40	0.2132	0.3287	0.5172	0.0213	0.725	0.6818	0	2.4654	1.4624	1.1761	-0.4828	0.0052	0.7079
137	170	422,497	422,528	419	97	47	52,715	117	140	1,360	0	1	40	0.2015	0.5904	0.9394	0.0243	0.3402	0.6596	0	2.6222	1.5185	1.4914	-0.0606	-0.0171	0.9919
1,261	1,281	87,951	87,967	103	26	22	11,682	101	133	1,360	1	0	80	0.1162	0.6781	0.8	0.0147	0.7692	0.7273	0	2.0128	1.301	1.2041	-0.2	-0.1139	0.5296

Subsets and Splits

Every Fifth Row from Steel Plates Dataset

Retrieves every 5th row from the steel plates dataset, providing basic sampling but offering limited analytical value for understanding the data patterns.

Steel Plates Filtered Dataset

Performs basic row filtering by removing every 5th row, which is a simple data sampling technique with minimal analytical value for understanding the dataset's patterns or characteristics.