Procesamiento-de-Imagenes-y-Vision-Por-Computadora/Lab2/datos_publicos/train_1000_desbalanceado.csv

1	id	x1	x2	x3	x4	etiqueta
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3	train_0002	-0.33252016	-1.51252489	-0.74678853	2.48168432	0
4	train_0003	-0.67816516	-1.48254252	1.32306735	0.53641452	0
5	train_0004	-0.81252663	-0.39666178	0.80564212	-2.38488356	0
6	train_0005	1.11282146	0.39086547	1.85731970	-0.78875571	0
7	train_0006	-0.85655470	1.90412707	1.44050521	0.88793538	0
8	train_0007	-1.64834898	-0.63973431	-0.30206628	1.31444933	0
9	train_0008	-1.57711791	1.50301207	1.67408804	1.89669274	0
10	train_0009	-1.30573622	-1.21531243	1.38645484	1.79280184	0
11	train_0010	-1.47446448	1.32280710	-2.49155307	2.21472376	0
12	train_0011	-2.45185030	-1.18520910	2.03686553	-2.34874399	0
13	train_0012	-2.49821307	0.66322044	-2.46049594	-0.55338346	1
14	train_0013	-0.88358646	0.91351560	-0.06673720	-1.64364405	0
15	train_0014	-0.64059191	0.14550446	-1.62485776	-0.89009585	0
16	train_0015	-1.09622705	-0.78107207	-2.11398042	0.06056275	1
17	train_0016	-0.25925568	0.25417709	2.26587892	-0.28030647	0
18	train_0017	-0.94922447	0.27434703	1.37110082	2.41378585	0
19	train_0018	-0.69472817	-1.80115091	2.30722545	-1.66950606	0
20	train_0019	-1.10217774	1.30546599	-1.32263718	1.18058746	0
21	train_0020	-2.42001610	0.90776990	1.97611803	-1.12057565	0
22	train_0021	-0.55760692	0.02433288	1.88075451	1.23888381	0
23	train_0022	-2.36650664	0.29177474	-2.03566915	0.83529703	0
24	train_0023	-1.16030112	2.35272013	1.85048423	-2.39359342	0
25	train_0024	-1.54974770	-1.74153417	-0.49195136	2.34023173	0
26	train_0025	-0.89430305	0.22997824	-1.68348309	-2.32397946	0
27	train_0026	1.76117924	-2.04981800	-1.56669378	2.39146284	1
28	train_0027	1.63784087	1.66183862	-0.80118350	1.97130806	1
29	train_0028	-1.98784724	0.30179279	1.28698380	1.31959978	0
30	train_0029	1.71330120	-1.38238474	-0.11461516	0.64559081	1
31	train_0030	-1.96932529	-0.18146652	1.22210138	0.13231640	0
32	train_0031	-0.38799403	-1.61313356	1.64070487	0.29221800	0
33	train_0032	-1.53332057	1.36544685	2.44154224	1.40729969	0
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36	train_0035	-1.85310783	-1.92476316	-0.40492012	1.27013349	0
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67	train_0066	0.00462479	1.43456423	1.30729977	0.69039867	0
68	train_0067	2.14568426	1.13555966	-0.77554324	2.49866221	1
69	train_0068	-0.53432760	0.77096579	0.91851723	-0.11141784	0
70	train_0069	-1.96633971	1.81311771	1.36074472	1.00474222	0
71	train_0070	-1.47920489	-1.99911385	2.12062858	0.36074018	0
72	train_0071	1.56097971	0.60904420	1.09689243	-1.76892131	0
73	train_0072	-1.94413175	0.14899231	1.99906955	-1.45149112	0
74	train_0073	-1.83222461	-1.17423382	2.19511549	-0.73628337	0
75	train_0074	1.87699671	0.23227531	1.86518503	-1.36478356	0
76	train_0075	-1.33389378	-1.26483554	-2.14890490	-2.49403161	1
77	train_0076	-0.98823799	-0.91857277	2.38780652	-1.04181980	0
78	train_0077	0.81879841	-0.84117596	1.97194183	-0.17439644	0
79	train_0078	0.95150500	-2.47626164	-1.30294205	1.99814352	1
80	train_0079	-1.57512491	1.18043284	-1.07002105	0.25403784	1
81	train_0080	0.46247409	-0.17220197	2.39917388	1.63581193	0
82	train_0081	-0.49229075	-1.87882207	1.81219623	-0.65116698	0
83	train_0082	-0.61975579	-1.35995253	-1.61015321	-2.07616459	1
84	train_0083	-2.10608404	1.44480245	0.83271501	1.58704050	0
85	train_0084	-2.41383403	0.82218470	-0.31597598	2.10725302	0
86	train_0085	-1.04559962	0.84795493	-0.52473783	0.18355251	0
87	train_0086	-1.48537297	-1.31838151	2.42766883	-0.57733545	0
88	train_0087	2.08351905	0.48441585	0.73533813	1.78322425	1
89	train_0088	1.01765469	-1.35881081	-0.77894896	-2.21307269	0
90	train_0089	1.15831361	1.30971219	1.54917868	-1.90388386	0
91	train_0090	-1.52728688	2.38647149	0.58365023	-2.27506630	1
92	train_0091	0.21825519	-2.19344089	-1.10030441	-0.86666483	1
93	train_0092	1.36908864	0.10499475	-1.67497467	-2.17692034	0
94	train_0093	-0.36502287	-0.17777985	-2.35797565	0.86172844	1
95	train_0094	1.41388158	-0.71548973	-1.57988838	1.32095225	1
96	train_0095	0.90495666	-0.05562823	2.00099742	1.91400163	0
97	train_0096	-1.64315676	-1.20429523	1.88119773	-0.24857395	0
98	train_0097	-2.12528159	1.81921364	-0.21180842	1.66490837	0
99	train_0098	-0.09546248	-1.38867540	2.46872699	0.17907918	0
100	train_0099	-2.49967676	0.90482163	1.25622885	-0.79655291	0
101	train_0100	1.63451928	0.61072035	0.43843599	-1.32963059	0
102	train_0101	-1.69575607	-0.59856700	-2.14058522	1.30387188	0
103	train_0102	-1.64396050	-1.32959954	1.31264022	1.62846279	0
104	train_0103	0.15413998	1.33803016	-0.32515817	1.40141279	1
105	train_0104	0.42991743	-1.09600057	-1.27625697	-1.69523983	1
106	train_0105	-1.80857670	0.88734429	2.03912419	1.29203920	0
107	train_0106	-0.16213846	1.59887213	-1.18630107	-2.27793743	1
108	train_0107	1.20794963	-0.99643552	2.41870297	1.37733317	0
109	train_0108	-0.28239782	0.58369987	1.98237272	0.98867650	0
110	train_0109	1.13125743	2.05490460	2.01868990	-1.56729640	0
111	train_0110	0.50662556	1.15191605	0.73609995	-1.33954429	0
112	train_0111	0.35863050	-1.45065063	0.13697106	-1.74384545	0
113	train_0112	-0.04633369	0.56101028	1.02048544	1.81932854	0
114	train_0113	-2.29550841	-1.61694930	2.42671917	1.32997298	0
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