results_relu_15max_20data_20runs.txt

k	h	eVC	h(k+1)
1	1	2	2
	2	3	4
	3	4	6
	4	5	8
	5	5	10
	6	5	12
	7	7	14
	8	7	16
2	1	3	3
	2	6	6
	3	8	9
	4	9	12
	5	11	15
	6	12	18
	7	13	21
	8	14	24
3	1	4	4
	2	8	8
	3	11	12
	4	14	16
	5	17	20
	6	22	24
	7	27	28
	8	29	32
4	1	5	5
	2	9	10
	3	14	15
	4	18	20
	5	25	25
	6	30	30
	7	40	35
	8	48	40
5	1	6	6
	2	11	12
	3	15	18
	4	24	24
	5	32	30
	6	43	36
	7	55	42
	8	65	48
6	1	7	7
	2	11	14
	3	18	21
	4	25	28
	5	39	35
	6	56	42

('n', 'k', 'h', 'successful classifications', 'rate')
(1, 1, 1, 1, 1.0)
(2, 1, 1, 2, 1.0)
(3, 1, 1, 3, 0.75)
KVC(0.95): (2, 1, 1)

(1, 1, 2, 1, 1.0)
(2, 1, 2, 2, 1.0)
(3, 1, 2, 4, 1.0)
(4, 1, 2, 6, 0.75)
KVC(0.95): (3, 1, 2)

(1, 1, 3, 1, 1.0)
(2, 1, 3, 2, 1.0)
(3, 1, 3, 4, 1.0)
(4, 1, 3, 8, 1.0)
(5, 1, 3, 9, 0.5625, 'intermediate', 2, 0.1875)
(5, 1, 3, 11, 0.6875, 'intermediate', 3, 0.5625)
(5, 1, 3, 13, 0.8125, 'intermediate', 11, 0.6875)
(5, 1, 3, 13, 0.8125)
KVC(0.95): (4, 1, 3)

(1, 1, 4, 1, 1.0)
(2, 1, 4, 2, 1.0)
(3, 1, 4, 4, 1.0)
(4, 1, 4, 8, 1.0)
(5, 1, 4, 11, 0.6875, 'intermediate', 1, 0.5625)
(5, 1, 4, 16, 1.0)
(6, 1, 4, 6, 0.1875, 'intermediate', 1, 0.15625)
(6, 1, 4, 19, 0.59375, 'intermediate', 3, 0.1875)
(6, 1, 4, 22, 0.6875, 'intermediate', 4, 0.59375)
(6, 1, 4, 22, 0.6875)
KVC(0.95): (5, 1, 4)

(1, 1, 5, 1, 1.0)
(2, 1, 5, 2, 1.0)
(3, 1, 5, 4, 1.0)
(4, 1, 5, 8, 1.0)
(5, 1, 5, 11, 0.6875, 'intermediate', 1, 0.5625)
(5, 1, 5, 16, 1.0)
(6, 1, 5, 6, 0.1875, 'intermediate', 1, 0.15625)
(6, 1, 5, 17, 0.53125, 'intermediate', 2, 0.1875)
(6, 1, 5, 20, 0.625, 'intermediate', 4, 0.53125)
(6, 1, 5, 25, 0.78125, 'intermediate', 6, 0.625)
(6, 1, 5, 25, 0.78125)
KVC(0.95): (5, 1, 5)

(1, 1, 6, 1, 1.0)
(2, 1, 6, 2, 1.0)
(3, 1, 6, 4, 1.0)
(4, 1, 6, 8, 1.0)
(5, 1, 6, 11, 0.6875, 'intermediate', 1, 0.5625)
(5, 1, 6, 16, 1.0)
(6, 1, 6, 9, 0.28125, 'intermediate', 1, 0.15625)
(6, 1, 6, 25, 0.78125, 'intermediate', 2, 0.28125)
(6, 1, 6, 25, 0.78125)
KVC(0.95): (5, 1, 6)

(1, 1, 7, 1, 1.0)
(2, 1, 7, 2, 1.0)
(3, 1, 7, 4, 1.0)
(4, 1, 7, 8, 1.0)
(5, 1, 7, 16, 1.0)
(6, 1, 7, 25, 0.78125, 'intermediate', 1, 0.15625)
(6, 1, 7, 32, 1.0)
(7, 1, 7, 14, 0.21875, 'intermediate', 1, 0.15625)
(7, 1, 7, 21, 0.328125, 'intermediate', 2, 0.21875)
(7, 1, 7, 64, 1.0)
(8, 1, 7, 38, 0.296875, 'intermediate', 1, 0.0546875)
(8, 1, 7, 38, 0.296875)
KVC(0.95): (7, 1, 7)

(1, 1, 8, 1, 1.0)
(2, 1, 8, 2, 1.0)
(3, 1, 8, 4, 1.0)
(4, 1, 8, 8, 1.0)
(5, 1, 8, 16, 1.0)
(6, 1, 8, 32, 1.0)
(7, 1, 8, 44, 0.6875, 'intermediate', 1, 0.15625)
(7, 1, 8, 64, 1.0)
(8, 1, 8, 38, 0.296875, 'intermediate', 1, 0.0390625)
(8, 1, 8, 39, 0.3046875, 'intermediate', 17, 0.296875)
(8, 1, 8, 39, 0.3046875)
KVC(0.95): (7, 1, 8)

done

('n', 'k', 'h', 'successful classifications', 'rate')
(1, 2, 1, 1, 1.0)
(2, 2, 1, 2, 1.0)
(3, 2, 1, 4, 1.0)
(4, 2, 1, 5, 0.625, 'intermediate', 1, 0.375)
(4, 2, 1, 7, 0.875, 'intermediate', 3, 0.625)
(4, 2, 1, 7, 0.875)
KVC(0.95): (3, 2, 1)

(1, 2, 2, 1, 1.0)
(2, 2, 2, 2, 1.0)
(3, 2, 2, 4, 1.0)
(4, 2, 2, 8, 1.0)
(5, 2, 2, 16, 1.0)
(6, 2, 2, 32, 1.0)
(7, 2, 2, 37, 0.578125)
KVC(0.95): (6, 2, 2)

(1, 2, 3, 1, 1.0)
(2, 2, 3, 2, 1.0)
(3, 2, 3, 4, 1.0)
(4, 2, 3, 8, 1.0)
(5, 2, 3, 16, 1.0)
(6, 2, 3, 32, 1.0)
(7, 2, 3, 64, 1.0)
(8, 2, 3, 28, 0.21875, 'intermediate', 1, 0.1171875)
(8, 2, 3, 46, 0.359375, 'intermediate', 2, 0.21875)
(8, 2, 3, 100, 0.78125, 'intermediate', 6, 0.359375)
(8, 2, 3, 102, 0.796875, 'intermediate', 11, 0.78125)
(8, 2, 3, 128, 1.0)
(9, 2, 3, 51, 0.19921875, 'intermediate', 1, 0.1796875)
(9, 2, 3, 67, 0.26171875, 'intermediate', 2, 0.19921875)
(9, 2, 3, 98, 0.3828125, 'intermediate', 4, 0.26171875)
(9, 2, 3, 98, 0.3828125)
KVC(0.95): (8, 2, 3)

(1, 2, 4, 1, 1.0)
(2, 2, 4, 2, 1.0)
(3, 2, 4, 4, 1.0)
(4, 2, 4, 8, 1.0)
(5, 2, 4, 16, 1.0)
(6, 2, 4, 32, 1.0)
(7, 2, 4, 64, 1.0)
(8, 2, 4, 128, 1.0)
(9, 2, 4, 162, 0.6328125, 'intermediate', 2, 0.4140625)
(9, 2, 4, 200, 0.78125, 'intermediate', 4, 0.6328125)
(9, 2, 4, 256, 1.0)
(10, 2, 4, 56, 0.109375, 'intermediate', 1, 0.068359375)
(10, 2, 4, 179, 0.349609375, 'intermediate', 2, 0.109375)
(10, 2, 4, 360, 0.703125, 'intermediate', 5, 0.349609375)
(10, 2, 4, 400, 0.78125, 'intermediate', 9, 0.703125)
(10, 2, 4, 467, 0.912109375, 'intermediate', 11, 0.78125)
(10, 2, 4, 467, 0.912109375)
KVC(0.95): (9, 2, 4)

(1, 2, 5, 1, 1.0)
(2, 2, 5, 2, 1.0)
(3, 2, 5, 4, 1.0)
(4, 2, 5, 8, 1.0)
(5, 2, 5, 16, 1.0)
(6, 2, 5, 32, 1.0)
(7, 2, 5, 64, 1.0)
(8, 2, 5, 128, 1.0)
(9, 2, 5, 256, 1.0)
(10, 2, 5, 214, 0.41796875, 'intermediate', 1, 0.068359375)
(10, 2, 5, 512, 1.0)
(11, 2, 5, 365, 0.3564453125, 'intermediate', 1, 0.0576171875)
(11, 2, 5, 412, 0.40234375, 'intermediate', 6, 0.3564453125)
(11, 2, 5, 647, 0.6318359375, 'intermediate', 7, 0.40234375)
(11, 2, 5, 710, 0.693359375, 'intermediate', 8, 0.6318359375)
(11, 2, 5, 1024, 1.0)
(12, 2, 5, 739, 0.36083984375, 'intermediate', 1, 0.0380859375)
(12, 2, 5, 1158, 0.5654296875, 'intermediate', 6, 0.36083984375)
(12, 2, 5, 1158, 0.5654296875)
KVC(0.95): (11, 2, 5)

(1, 2, 6, 1, 1.0)
(2, 2, 6, 2, 1.0)
(3, 2, 6, 4, 1.0)
(4, 2, 6, 8, 1.0)
(5, 2, 6, 16, 1.0)
(6, 2, 6, 32, 1.0)
(7, 2, 6, 64, 1.0)
(8, 2, 6, 128, 1.0)
(9, 2, 6, 256, 1.0)
(10, 2, 6, 512, 1.0)
(11, 2, 6, 1024, 1.0)
(12, 2, 6, 968, 0.47265625, 'intermediate', 1, 0.0576171875)
(12, 2, 6, 1095, 0.53466796875, 'intermediate', 6, 0.47265625)
(12, 2, 6, 1776, 0.8671875, 'intermediate', 7, 0.53466796875)
(12, 2, 6, 2048, 1.0)
(13, 2, 6, 401, 0.097900390625, 'intermediate', 1, 0.006103515625)
(13, 2, 6, 611, 0.149169921875, 'intermediate', 2, 0.097900390625)
(13, 2, 6, 2033, 0.496337890625, 'intermediate', 6, 0.149169921875)
(13, 2, 6, 2033, 0.496337890625)
KVC(0.95): (12, 2, 6)

(1, 2, 7, 1, 1.0)
(2, 2, 7, 2, 1.0)
(3, 2, 7, 4, 1.0)
(4, 2, 7, 8, 1.0)
(5, 2, 7, 16, 1.0)
(6, 2, 7, 32, 1.0)
(7, 2, 7, 64, 1.0)
(8, 2, 7, 128, 1.0)
(9, 2, 7, 256, 1.0)
(10, 2, 7, 512, 1.0)
(11, 2, 7, 1024, 1.0)
(12, 2, 7, 1127, 0.55029296875, 'intermediate', 1, 0.08544921875)
(12, 2, 7, 1603, 0.78271484375, 'intermediate', 4, 0.55029296875)
(12, 2, 7, 2048, 1.0)
(13, 2, 7, 829, 0.202392578125, 'intermediate', 1, 0.041259765625)
(13, 2, 7, 1938, 0.47314453125, 'intermediate', 6, 0.202392578125)
(13, 2, 7, 4096, 1.0)
(14, 2, 7, 663, 0.0809326171875, 'intermediate', 1, 0.0145263671875)
(14, 2, 7, 1650, 0.201416015625, 'intermediate', 4, 0.0809326171875)
(14, 2, 7, 6005, 0.7330322265625, 'intermediate', 8, 0.201416015625)
(14, 2, 7, 6005, 0.7330322265625)
KVC(0.95): (13, 2, 7)

(1, 2, 8, 1, 1.0)
(2, 2, 8, 2, 1.0)
(3, 2, 8, 4, 1.0)
(4, 2, 8, 8, 1.0)
(5, 2, 8, 16, 1.0)
(6, 2, 8, 32, 1.0)
(7, 2, 8, 64, 1.0)
(8, 2, 8, 128, 1.0)
(9, 2, 8, 256, 1.0)
(10, 2, 8, 512, 1.0)
(11, 2, 8, 1024, 1.0)
(12, 2, 8, 2048, 1.0)
(13, 2, 8, 2276, 0.5556640625, 'intermediate', 1, 0.400634765625)
(13, 2, 8, 3115, 0.760498046875, 'intermediate', 2, 0.5556640625)
(13, 2, 8, 4096, 1.0)
(14, 2, 8, 795, 0.0970458984375, 'intermediate', 1, 0.0496826171875)
(14, 2, 8, 6279, 0.7664794921875, 'intermediate', 4, 0.0970458984375)
(14, 2, 8, 8192, 1.0)
(15, 2, 8, 1318, 0.0804443359375, 'intermediate', 1, 0.0262451171875)
(15, 2, 8, 2447, 0.14935302734375, 'intermediate', 2, 0.0804443359375)
(15, 2, 8, 3555, 0.21697998046875, 'intermediate', 4, 0.14935302734375)
(15, 2, 8, 8312, 0.50732421875, 'intermediate', 6, 0.21697998046875)
(15, 2, 8, 13081, 0.79840087890625, 'intermediate', 8, 0.50732421875)
(15, 2, 8, 13081, 0.79840087890625)
KVC(0.95): (14, 2, 8)

done


('n', 'k', 'h', 'successful classifications', 'rate')
(1, 3, 1, 1, 1.0)
(2, 3, 1, 2, 1.0)
(3, 3, 1, 4, 1.0)
(4, 3, 1, 8, 1.0)
(5, 3, 1, 13, 0.8125, 'intermediate', 3, 0.4375)
(5, 3, 1, 14, 0.875, 'intermediate', 4, 0.8125)
(5, 3, 1, 14, 0.875)
KVC(0.95): (4, 3, 1)

(1, 3, 2, 1, 1.0)
(2, 3, 2, 2, 1.0)
(3, 3, 2, 4, 1.0)
(4, 3, 2, 8, 1.0)
(5, 3, 2, 16, 1.0)
(6, 3, 2, 32, 1.0)
(7, 3, 2, 64, 1.0)
(8, 3, 2, 128, 1.0)
(9, 3, 2, 81, 0.31640625, 'intermediate', 3, 0.3046875)
(9, 3, 2, 208, 0.8125, 'intermediate', 4, 0.31640625)
(9, 3, 2, 226, 0.8828125, 'intermediate', 15, 0.8125)
(9, 3, 2, 226, 0.8828125)
KVC(0.95): (8, 3, 2)

(1, 3, 3, 1, 1.0)
(2, 3, 3, 2, 1.0)
(3, 3, 3, 4, 1.0)
(4, 3, 3, 8, 1.0)
(5, 3, 3, 16, 1.0)
(6, 3, 3, 32, 1.0)
(7, 3, 3, 64, 1.0)
(8, 3, 3, 128, 1.0)
(9, 3, 3, 256, 1.0)
(10, 3, 3, 512, 1.0)
(11, 3, 3, 122, 0.119140625, 'intermediate', 1, 0.0458984375)
(11, 3, 3, 442, 0.431640625, 'intermediate', 3, 0.119140625)
(11, 3, 3, 882, 0.861328125, 'intermediate', 4, 0.431640625)
(11, 3, 3, 1024, 1.0)
(12, 3, 3, 143, 0.06982421875, 'intermediate', 1, 0.03857421875)
(12, 3, 3, 312, 0.15234375, 'intermediate', 2, 0.06982421875)
(12, 3, 3, 636, 0.310546875, 'intermediate', 10, 0.15234375)
(12, 3, 3, 636, 0.310546875)
KVC(0.95): (11, 3, 3)

(1, 3, 4, 1, 1.0)
(2, 3, 4, 2, 1.0)
(3, 3, 4, 4, 1.0)
(4, 3, 4, 8, 1.0)
(5, 3, 4, 16, 1.0)
(6, 3, 4, 32, 1.0)
(7, 3, 4, 64, 1.0)
(8, 3, 4, 128, 1.0)
(9, 3, 4, 256, 1.0)
(10, 3, 4, 512, 1.0)
(11, 3, 4, 1024, 1.0)
(12, 3, 4, 2048, 1.0)
(13, 3, 4, 4096, 1.0)
(14, 3, 4, 6394, 0.780517578125, 'intermediate', 1, 0.0338134765625)
(14, 3, 4, 8192, 1.0)
(15, 3, 4, 602, 0.0367431640625, 'intermediate', 6, 0.0277099609375)
(15, 3, 4, 942, 0.0574951171875, 'intermediate', 7, 0.0367431640625)
(15, 3, 4, 2278, 0.1390380859375, 'intermediate', 8, 0.0574951171875)
(15, 3, 4, 2278, 0.1390380859375)
KVC(0.95): (14, 3, 4)

(1, 3, 5, 1, 1.0)
(2, 3, 5, 2, 1.0)
(3, 3, 5, 4, 1.0)
(4, 3, 5, 8, 1.0)
(5, 3, 5, 16, 1.0)
(6, 3, 5, 32, 1.0)
(7, 3, 5, 64, 1.0)
(8, 3, 5, 128, 1.0)
(9, 3, 5, 256, 1.0)
(10, 3, 5, 512, 1.0)
(11, 3, 5, 1024, 1.0)
(12, 3, 5, 2048, 1.0)
(13, 3, 5, 4096, 1.0)
(14, 3, 5, 8192, 1.0)
(15, 3, 5, 16384, 1.0)
(16, 3, 5, 16384, 1.0)
(17, 3, 5, 16384, 1.0)
(18, 3, 5, 6483, 0.39569091796875, 'intermediate', 1, 0.00531005859375)
(18, 3, 5, 6483, 0.39569091796875)
KVC(0.95): (17, 3, 5)

(1, 3, 6, 1, 1.0)
(2, 3, 6, 2, 1.0)
(3, 3, 6, 4, 1.0)
(4, 3, 6, 8, 1.0)
(5, 3, 6, 16, 1.0)
(6, 3, 6, 32, 1.0)
(7, 3, 6, 64, 1.0)
(8, 3, 6, 128, 1.0)
(9, 3, 6, 256, 1.0)
(10, 3, 6, 512, 1.0)
(11, 3, 6, 1024, 1.0)
(12, 3, 6, 2048, 1.0)
(13, 3, 6, 4096, 1.0)
(14, 3, 6, 8192, 1.0)
(15, 3, 6, 16384, 1.0)
(16, 3, 6, 16384, 1.0)
(17, 3, 6, 16384, 1.0)
(18, 3, 6, 16384, 1.0)
(19, 3, 6, 16384, 1.0)
(20, 3, 6, 16384, 1.0)
(21, 3, 6, 16384, 1.0)
(22, 3, 6, 16384, 1.0)
(23, 3, 6, 10304, 0.62890625, 'intermediate', 8, 0.222900390625)
(23, 3, 6, 10304, 0.62890625)
KVC(0.95): (22, 3, 6)

(1, 3, 7, 1, 1.0)
(2, 3, 7, 2, 1.0)
(3, 3, 7, 4, 1.0)
(4, 3, 7, 8, 1.0)
(5, 3, 7, 16, 1.0)
(6, 3, 7, 32, 1.0)
(7, 3, 7, 64, 1.0)
(8, 3, 7, 128, 1.0)
(9, 3, 7, 256, 1.0)
(10, 3, 7, 512, 1.0)
(11, 3, 7, 1024, 1.0)
(12, 3, 7, 2048, 1.0)
(13, 3, 7, 4096, 1.0)
(14, 3, 7, 8192, 1.0)
(15, 3, 7, 16384, 1.0)
(16, 3, 7, 16384, 1.0)
(17, 3, 7, 16384, 1.0)
(18, 3, 7, 16384, 1.0)
(19, 3, 7, 16384, 1.0)
(20, 3, 7, 16384, 1.0)
(21, 3, 7, 16384, 1.0)
(22, 3, 7, 16384, 1.0)
(23, 3, 7, 16384, 1.0)
(24, 3, 7, 16384, 1.0)
(25, 3, 7, 16113, 0.98345947265625, 'intermediate', 1, 0.14154052734375)
(25, 3, 7, 16384, 1.0)
(26, 3, 7, 16384, 1.0)
(27, 3, 7, 16384, 1.0)
(28, 3, 7, 1165, 0.07110595703125, 'intermediate', 2, 0.04010009765625)
(28, 3, 7, 2472, 0.15087890625, 'intermediate', 7, 0.07110595703125)
(28, 3, 7, 8665, 0.52886962890625, 'intermediate', 8, 0.15087890625)
(28, 3, 7, 8665, 0.52886962890625)
KVC(0.95): (27, 3, 7)

(1, 3, 8, 1, 1.0)
(2, 3, 8, 2, 1.0)
(3, 3, 8, 4, 1.0)
(4, 3, 8, 8, 1.0)
(5, 3, 8, 16, 1.0)
(6, 3, 8, 32, 1.0)
(7, 3, 8, 64, 1.0)
(8, 3, 8, 128, 1.0)
(9, 3, 8, 256, 1.0)
(10, 3, 8, 512, 1.0)
(11, 3, 8, 1024, 1.0)
(12, 3, 8, 2048, 1.0)
(13, 3, 8, 4096, 1.0)
(14, 3, 8, 8192, 1.0)
(15, 3, 8, 16384, 1.0)
(16, 3, 8, 16384, 1.0)
(17, 3, 8, 16384, 1.0)
(18, 3, 8, 16384, 1.0)
(19, 3, 8, 16384, 1.0)
(20, 3, 8, 16384, 1.0)
(21, 3, 8, 16384, 1.0)
(22, 3, 8, 16384, 1.0)
(23, 3, 8, 16384, 1.0)
(24, 3, 8, 16384, 1.0)
(25, 3, 8, 16384, 1.0)
(26, 3, 8, 16384, 1.0)
(27, 3, 8, 16384, 1.0)
(28, 3, 8, 3748, 0.228759765625, 'intermediate', 2, 0.0811767578125)
(28, 3, 8, 14783, 0.90228271484375, 'intermediate', 3, 0.228759765625)
(28, 3, 8, 16384, 1.0)
(29, 3, 8, 534, 0.0325927734375, 'intermediate', 1, 0.0067138671875)
(29, 3, 8, 1796, 0.109619140625, 'intermediate', 2, 0.0325927734375)
(29, 3, 8, 3196, 0.195068359375, 'intermediate', 3, 0.109619140625)
(29, 3, 8, 4810, 0.2935791015625, 'intermediate', 5, 0.195068359375)
(29, 3, 8, 16384, 1.0)
(30, 3, 8, 10345, 0.63140869140625, 'intermediate', 8, 0.41900634765625)
(30, 3, 8, 10345, 0.63140869140625)
KVC(0.95): (29, 3, 8)

done

('n', 'k', 'h', 'successful classifications', 'rate')
(1, 4, 1, 1, 1.0)
(2, 4, 1, 2, 1.0)
(3, 4, 1, 4, 1.0)
(4, 4, 1, 8, 1.0)
(5, 4, 1, 16, 1.0)
(6, 4, 1, 5, 0.15625, 'intermediate', 1, 0.0625)
(6, 4, 1, 11, 0.34375, 'intermediate', 2, 0.15625)
(6, 4, 1, 19, 0.59375, 'intermediate', 5, 0.34375)
(6, 4, 1, 28, 0.875, 'intermediate', 7, 0.59375)
(6, 4, 1, 28, 0.875)
KVC(0.95): (5, 4, 1)

(1, 4, 2, 1, 1.0)
(2, 4, 2, 2, 1.0)
(3, 4, 2, 4, 1.0)
(4, 4, 2, 8, 1.0)
(5, 4, 2, 16, 1.0)
(6, 4, 2, 32, 1.0)
(7, 4, 2, 64, 1.0)
(8, 4, 2, 128, 1.0)
(9, 4, 2, 91, 0.35546875, 'intermediate', 4, 0.2109375)
(9, 4, 2, 256, 1.0)
(10, 4, 2, 121, 0.236328125, 'intermediate', 3, 0.10546875)
(10, 4, 2, 234, 0.45703125, 'intermediate', 7, 0.236328125)
(10, 4, 2, 234, 0.45703125)
KVC(0.95): (9, 4, 2)

(1, 4, 3, 1, 1.0)
(2, 4, 3, 2, 1.0)
(3, 4, 3, 4, 1.0)
(4, 4, 3, 8, 1.0)
(5, 4, 3, 16, 1.0)
(6, 4, 3, 32, 1.0)
(7, 4, 3, 64, 1.0)
(8, 4, 3, 128, 1.0)
(9, 4, 3, 256, 1.0)
(10, 4, 3, 512, 1.0)
(11, 4, 3, 1024, 1.0)
(12, 4, 3, 2048, 1.0)
(13, 4, 3, 4096, 1.0)
(14, 4, 3, 1008, 0.123046875, 'intermediate', 3, 0.0660400390625)
(14, 4, 3, 1655, 0.2020263671875, 'intermediate', 4, 0.123046875)
(14, 4, 3, 2993, 0.3653564453125, 'intermediate', 6, 0.2020263671875)
(14, 4, 3, 3726, 0.454833984375, 'intermediate', 7, 0.3653564453125)
(14, 4, 3, 5058, 0.617431640625, 'intermediate', 13, 0.454833984375)
(14, 4, 3, 8192, 1.0)
(15, 4, 3, 1498, 0.0914306640625, 'intermediate', 2, 0.01336669921875)
(15, 4, 3, 3299, 0.20135498046875, 'intermediate', 9, 0.0914306640625)
(15, 4, 3, 3299, 0.20135498046875)
KVC(0.95): (14, 4, 3)

(1, 4, 4, 1, 1.0)
(2, 4, 4, 2, 1.0)
(3, 4, 4, 4, 1.0)
(4, 4, 4, 8, 1.0)
(5, 4, 4, 16, 1.0)
(6, 4, 4, 32, 1.0)
(7, 4, 4, 64, 1.0)
(8, 4, 4, 128, 1.0)
(9, 4, 4, 256, 1.0)
(10, 4, 4, 512, 1.0)
(11, 4, 4, 1024, 1.0)
(12, 4, 4, 2048, 1.0)
(13, 4, 4, 4096, 1.0)
(14, 4, 4, 8192, 1.0)
(15, 4, 4, 16384, 1.0)
(16, 4, 4, 16384, 1.0)
(17, 4, 4, 12116, 0.739501953125, 'intermediate', 1, 0.21649169921875)
(17, 4, 4, 16384, 1.0)
(18, 4, 4, 4098, 0.2501220703125, 'intermediate', 2, 0.2469482421875)
(18, 4, 4, 6677, 0.40753173828125, 'intermediate', 3, 0.2501220703125)
(18, 4, 4, 10385, 0.63385009765625, 'intermediate', 7, 0.40753173828125)
(18, 4, 4, 16384, 1.0)
(19, 4, 4, 4077, 0.24884033203125, 'intermediate', 3, 0.237060546875)
(19, 4, 4, 6368, 0.388671875, 'intermediate', 4, 0.24884033203125)
(19, 4, 4, 12477, 0.76153564453125, 'intermediate', 7, 0.388671875)
(19, 4, 4, 12477, 0.76153564453125)
KVC(0.95): (18, 4, 4)

(1, 4, 5, 1, 1.0)
(2, 4, 5, 2, 1.0)
(3, 4, 5, 4, 1.0)
(4, 4, 5, 8, 1.0)
(5, 4, 5, 16, 1.0)
(6, 4, 5, 32, 1.0)
(7, 4, 5, 64, 1.0)
(8, 4, 5, 128, 1.0)
(9, 4, 5, 256, 1.0)
(10, 4, 5, 512, 1.0)
(11, 4, 5, 1024, 1.0)
(12, 4, 5, 2048, 1.0)
(13, 4, 5, 4096, 1.0)
(14, 4, 5, 8192, 1.0)
(15, 4, 5, 16384, 1.0)
(16, 4, 5, 16384, 1.0)
(17, 4, 5, 16384, 1.0)
(18, 4, 5, 16384, 1.0)
(19, 4, 5, 16384, 1.0)
(20, 4, 5, 16384, 1.0)
(21, 4, 5, 16384, 1.0)
(22, 4, 5, 16384, 1.0)
(23, 4, 5, 16384, 1.0)
(24, 4, 5, 16384, 1.0)
(25, 4, 5, 14249, 0.86968994140625, 'intermediate', 1, 0.142822265625)
(25, 4, 5, 16132, 0.984619140625, 'intermediate', 8, 0.86968994140625)
(25, 4, 5, 16132, 0.984619140625)
(26, 4, 5, 2749, 0.16778564453125, 'intermediate', 3, 0.13031005859375)
(26, 4, 5, 7535, 0.45989990234375, 'intermediate', 9, 0.16778564453125)
(26, 4, 5, 7535, 0.45989990234375)
KVC(0.95): (25, 4, 5)

(1, 4, 6, 1, 1.0)
(2, 4, 6, 2, 1.0)
(3, 4, 6, 4, 1.0)
(4, 4, 6, 8, 1.0)
(5, 4, 6, 16, 1.0)
(6, 4, 6, 32, 1.0)
(7, 4, 6, 64, 1.0)
(8, 4, 6, 128, 1.0)
(9, 4, 6, 256, 1.0)
(10, 4, 6, 512, 1.0)
(11, 4, 6, 1024, 1.0)
(12, 4, 6, 2048, 1.0)
(13, 4, 6, 4096, 1.0)
(14, 4, 6, 8192, 1.0)
(15, 4, 6, 16384, 1.0)
(16, 4, 6, 16384, 1.0)
(17, 4, 6, 16384, 1.0)
(18, 4, 6, 16384, 1.0)
(19, 4, 6, 16384, 1.0)
(20, 4, 6, 16384, 1.0)
(21, 4, 6, 16384, 1.0)
(22, 4, 6, 16384, 1.0)
(23, 4, 6, 16384, 1.0)
(24, 4, 6, 16384, 1.0)
(25, 4, 6, 16384, 1.0)
(26, 4, 6, 16384, 1.0)
(27, 4, 6, 16384, 1.0)
(28, 4, 6, 16384, 1.0)
(29, 4, 6, 16384, 1.0)
(30, 4, 6, 16384, 1.0)
(31, 4, 6, 11588, 0.707275390625, 'intermediate', 3, 0.18109130859375)
(31, 4, 6, 11588, 0.707275390625)
KVC(0.95): (30, 4, 6)

(1, 4, 7, 1, 1.0)
(2, 4, 7, 2, 1.0)
(3, 4, 7, 4, 1.0)
(4, 4, 7, 8, 1.0)
(5, 4, 7, 16, 1.0)
(6, 4, 7, 32, 1.0)
(7, 4, 7, 64, 1.0)
(8, 4, 7, 128, 1.0)
(9, 4, 7, 256, 1.0)
(10, 4, 7, 512, 1.0)
(11, 4, 7, 1024, 1.0)
(12, 4, 7, 2048, 1.0)
(13, 4, 7, 4096, 1.0)
(14, 4, 7, 8192, 1.0)
(15, 4, 7, 16384, 1.0)
(16, 4, 7, 16384, 1.0)
(17, 4, 7, 16384, 1.0)
(18, 4, 7, 16384, 1.0)
(19, 4, 7, 16384, 1.0)
(20, 4, 7, 16384, 1.0)
(21, 4, 7, 16384, 1.0)
(22, 4, 7, 16384, 1.0)
(23, 4, 7, 16384, 1.0)
(24, 4, 7, 16384, 1.0)
(25, 4, 7, 16384, 1.0)
(26, 4, 7, 16384, 1.0)
(27, 4, 7, 16384, 1.0)
(28, 4, 7, 16384, 1.0)
(29, 4, 7, 16384, 1.0)
(30, 4, 7, 16384, 1.0)
(31, 4, 7, 16384, 1.0)
(32, 4, 7, 16384, 1.0)
(33, 4, 7, 16384, 1.0)
(34, 4, 7, 16384, 1.0)
(35, 4, 7, 16384, 1.0)
(36, 4, 7, 16384, 1.0)
(37, 4, 7, 16384, 1.0)
(38, 4, 7, 16384, 1.0)
(39, 4, 7, 6855, 0.41839599609375, 'intermediate', 1, 0.1337890625)
(39, 4, 7, 16384, 1.0)
(40, 4, 7, 16384, 1.0)
(41, 4, 7, 1220, 0.074462890625, 'intermediate', 1, 0.00628662109375)
(41, 4, 7, 4400, 0.2685546875, 'intermediate', 2, 0.074462890625)
(41, 4, 7, 4932, 0.301025390625, 'intermediate', 4, 0.2685546875)
(41, 4, 7, 4932, 0.301025390625)
KVC(0.95): (40, 4, 7)

(1, 4, 8, 1, 1.0)
(2, 4, 8, 2, 1.0)
(3, 4, 8, 4, 1.0)
(4, 4, 8, 8, 1.0)
(5, 4, 8, 16, 1.0)
(6, 4, 8, 32, 1.0)
(7, 4, 8, 64, 1.0)
(8, 4, 8, 128, 1.0)
(9, 4, 8, 256, 1.0)
(10, 4, 8, 512, 1.0)
(11, 4, 8, 1024, 1.0)
(12, 4, 8, 2048, 1.0)
(13, 4, 8, 4096, 1.0)
(14, 4, 8, 8192, 1.0)
(15, 4, 8, 16384, 1.0)
(16, 4, 8, 16384, 1.0)
(17, 4, 8, 16384, 1.0)
(18, 4, 8, 16384, 1.0)
(19, 4, 8, 16384, 1.0)
(20, 4, 8, 16384, 1.0)
(21, 4, 8, 16384, 1.0)
(22, 4, 8, 16384, 1.0)
(23, 4, 8, 16384, 1.0)
(24, 4, 8, 16384, 1.0)
(25, 4, 8, 16384, 1.0)
(26, 4, 8, 16384, 1.0)
(27, 4, 8, 16384, 1.0)
(28, 4, 8, 16384, 1.0)
(29, 4, 8, 16384, 1.0)
(30, 4, 8, 16384, 1.0)
(31, 4, 8, 16384, 1.0)
(32, 4, 8, 16384, 1.0)
(33, 4, 8, 16384, 1.0)
(34, 4, 8, 16384, 1.0)
(35, 4, 8, 16384, 1.0)
(36, 4, 8, 16384, 1.0)
(37, 4, 8, 16384, 1.0)
(38, 4, 8, 16384, 1.0)
(39, 4, 8, 16384, 1.0)
(40, 4, 8, 16384, 1.0)
(41, 4, 8, 16384, 1.0)
(42, 4, 8, 16384, 1.0)
(43, 4, 8, 16384, 1.0)
(44, 4, 8, 16384, 1.0)
(45, 4, 8, 16384, 1.0)
(46, 4, 8, 16384, 1.0)
(47, 4, 8, 10715, 0.65399169921875, 'intermediate', 1, 0.4267578125)
(47, 4, 8, 16384, 1.0)
(48, 4, 8, 15441, 0.94244384765625, 'intermediate', 2, 0.2177734375)
(48, 4, 8, 16384, 1.0)
(49, 4, 8, 5436, 0.331787109375, 'intermediate', 5, 0.30303955078125)
(49, 4, 8, 7402, 0.4517822265625, 'intermediate', 7, 0.331787109375)
(49, 4, 8, 14124, 0.862060546875, 'intermediate', 17, 0.4517822265625)
(49, 4, 8, 14124, 0.862060546875)
KVC(0.95): (48, 4, 8)

done

('n', 'k', 'h', 'successful classifications', 'rate')
(1, 5, 1, 1, 1.0)
(2, 5, 1, 2, 1.0)
(3, 5, 1, 4, 1.0)
(4, 5, 1, 8, 1.0)
(5, 5, 1, 16, 1.0)
(6, 5, 1, 32, 1.0)
(7, 5, 1, 42, 0.65625, 'intermediate', 2, 0.59375)
(7, 5, 1, 52, 0.8125, 'intermediate', 7, 0.65625)
(7, 5, 1, 52, 0.8125)
KVC(0.95): (6, 5, 1)

(1, 5, 2, 1, 1.0)
(2, 5, 2, 2, 1.0)
(3, 5, 2, 4, 1.0)
(4, 5, 2, 8, 1.0)
(5, 5, 2, 16, 1.0)
(6, 5, 2, 32, 1.0)
(7, 5, 2, 64, 1.0)
(8, 5, 2, 128, 1.0)
(9, 5, 2, 256, 1.0)
(10, 5, 2, 512, 1.0)
(11, 5, 2, 1024, 1.0)
(12, 5, 2, 822, 0.4013671875, 'intermediate', 1, 0.1279296875)
(12, 5, 2, 981, 0.47900390625, 'intermediate', 9, 0.4013671875)
(12, 5, 2, 1547, 0.75537109375, 'intermediate', 10, 0.47900390625)
(12, 5, 2, 1547, 0.75537109375)
KVC(0.95): (11, 5, 2)

(1, 5, 3, 1, 1.0)
(2, 5, 3, 2, 1.0)
(3, 5, 3, 4, 1.0)
(4, 5, 3, 8, 1.0)
(5, 5, 3, 16, 1.0)
(6, 5, 3, 32, 1.0)
(7, 5, 3, 64, 1.0)
(8, 5, 3, 128, 1.0)
(9, 5, 3, 256, 1.0)
(10, 5, 3, 512, 1.0)
(11, 5, 3, 1024, 1.0)
(12, 5, 3, 2048, 1.0)
(13, 5, 3, 4096, 1.0)
(14, 5, 3, 8192, 1.0)
(15, 5, 3, 4307, 0.26287841796875, 'intermediate', 2, 0.16693115234375)
(15, 5, 3, 16384, 1.0)
(16, 5, 3, 741, 0.04522705078125, 'intermediate', 1, 0.03497314453125)
(16, 5, 3, 5616, 0.3427734375, 'intermediate', 2, 0.04522705078125)
(16, 5, 3, 5920, 0.361328125, 'intermediate', 7, 0.3427734375)
(16, 5, 3, 13486, 0.8231201171875, 'intermediate', 13, 0.361328125)
(16, 5, 3, 13486, 0.8231201171875)
KVC(0.95): (15, 5, 3)

(1, 5, 4, 1, 1.0)
(2, 5, 4, 2, 1.0)
(3, 5, 4, 4, 1.0)
(4, 5, 4, 8, 1.0)
(5, 5, 4, 16, 1.0)
(6, 5, 4, 32, 1.0)
(7, 5, 4, 64, 1.0)
(8, 5, 4, 128, 1.0)
(9, 5, 4, 256, 1.0)
(10, 5, 4, 512, 1.0)
(11, 5, 4, 1024, 1.0)
(12, 5, 4, 2048, 1.0)
(13, 5, 4, 4096, 1.0)
(14, 5, 4, 8192, 1.0)
(15, 5, 4, 16384, 1.0)
(16, 5, 4, 16384, 1.0)
(17, 5, 4, 16384, 1.0)
(18, 5, 4, 16384, 1.0)
(19, 5, 4, 16384, 1.0)
(20, 5, 4, 16384, 1.0)
(21, 5, 4, 16384, 1.0)
(22, 5, 4, 16384, 1.0)
(23, 5, 4, 16384, 1.0)
(24, 5, 4, 16384, 1.0)
(25, 5, 4, 11190, 0.6829833984375, 'intermediate', 9, 0.6461181640625)
(25, 5, 4, 11190, 0.6829833984375)
KVC(0.95): (24, 5, 4)

(1, 5, 5, 1, 1.0)
(2, 5, 5, 2, 1.0)
(3, 5, 5, 4, 1.0)
(4, 5, 5, 8, 1.0)
(5, 5, 5, 16, 1.0)
(6, 5, 5, 32, 1.0)
(7, 5, 5, 64, 1.0)
(8, 5, 5, 128, 1.0)
(9, 5, 5, 256, 1.0)
(10, 5, 5, 512, 1.0)
(11, 5, 5, 1024, 1.0)
(12, 5, 5, 2048, 1.0)
(13, 5, 5, 4096, 1.0)
(14, 5, 5, 8192, 1.0)
(15, 5, 5, 16384, 1.0)
(16, 5, 5, 16384, 1.0)
(17, 5, 5, 16384, 1.0)
(18, 5, 5, 16384, 1.0)
(19, 5, 5, 16384, 1.0)
(20, 5, 5, 16384, 1.0)
(21, 5, 5, 16384, 1.0)
(22, 5, 5, 16384, 1.0)
(23, 5, 5, 16384, 1.0)
(24, 5, 5, 16384, 1.0)
(25, 5, 5, 16384, 1.0)
(26, 5, 5, 16384, 1.0)
(27, 5, 5, 16384, 1.0)
(28, 5, 5, 16384, 1.0)
(29, 5, 5, 16384, 1.0)
(30, 5, 5, 7040, 0.4296875, 'intermediate', 3, 0.12652587890625)
(30, 5, 5, 16384, 1.0)
(31, 5, 5, 16384, 1.0)
(32, 5, 5, 3430, 0.2093505859375, 'intermediate', 2, 0.03515625)
(32, 5, 5, 15762, 0.9620361328125, 'intermediate', 4, 0.2093505859375)
(32, 5, 5, 16384, 1.0)
(33, 5, 5, 6334, 0.3865966796875, 'intermediate', 4, 0.21875)
(33, 5, 5, 11776, 0.71875, 'intermediate', 12, 0.3865966796875)
(33, 5, 5, 11776, 0.71875)
KVC(0.95): (32, 5, 5)

(1, 5, 6, 1, 1.0)
(2, 5, 6, 2, 1.0)
(3, 5, 6, 4, 1.0)
(4, 5, 6, 8, 1.0)
(5, 5, 6, 16, 1.0)
(6, 5, 6, 32, 1.0)
(7, 5, 6, 64, 1.0)
(8, 5, 6, 128, 1.0)
(9, 5, 6, 256, 1.0)
(10, 5, 6, 512, 1.0)
(11, 5, 6, 1024, 1.0)
(12, 5, 6, 2048, 1.0)
(13, 5, 6, 4096, 1.0)
(14, 5, 6, 8192, 1.0)
(15, 5, 6, 16384, 1.0)
(16, 5, 6, 16384, 1.0)
(17, 5, 6, 16384, 1.0)
(18, 5, 6, 16384, 1.0)
(19, 5, 6, 16384, 1.0)
(20, 5, 6, 16384, 1.0)
(21, 5, 6, 16384, 1.0)
(22, 5, 6, 16384, 1.0)
(23, 5, 6, 16384, 1.0)
(24, 5, 6, 16384, 1.0)
(25, 5, 6, 16384, 1.0)
(26, 5, 6, 16384, 1.0)
(27, 5, 6, 16384, 1.0)
(28, 5, 6, 16384, 1.0)
(29, 5, 6, 16384, 1.0)
(30, 5, 6, 16384, 1.0)
(31, 5, 6, 16384, 1.0)
(32, 5, 6, 16384, 1.0)
(33, 5, 6, 16384, 1.0)
(34, 5, 6, 16384, 1.0)
(35, 5, 6, 16384, 1.0)
(36, 5, 6, 16384, 1.0)
(37, 5, 6, 16384, 1.0)
(38, 5, 6, 16384, 1.0)
(39, 5, 6, 16384, 1.0)
(40, 5, 6, 16384, 1.0)
(41, 5, 6, 8465, 0.51666259765625, 'intermediate', 3, 0.274169921875)
(41, 5, 6, 16384, 1.0)
(42, 5, 6, 16384, 1.0)
(43, 5, 6, 16384, 1.0)
(44, 5, 6, 4490, 0.2740478515625, 'intermediate', 2, 0.126953125)
(44, 5, 6, 4642, 0.2833251953125, 'intermediate', 10, 0.2740478515625)
(44, 5, 6, 4642, 0.2833251953125)
KVC(0.95): (43, 5, 6)

(1, 5, 7, 1, 1.0)
(2, 5, 7, 2, 1.0)
(3, 5, 7, 4, 1.0)
(4, 5, 7, 8, 1.0)
(5, 5, 7, 16, 1.0)
(6, 5, 7, 32, 1.0)
(7, 5, 7, 64, 1.0)
(8, 5, 7, 128, 1.0)
(9, 5, 7, 256, 1.0)
(10, 5, 7, 512, 1.0)
(11, 5, 7, 1024, 1.0)
(12, 5, 7, 2048, 1.0)
(13, 5, 7, 4096, 1.0)
(14, 5, 7, 8192, 1.0)
(15, 5, 7, 16384, 1.0)
(16, 5, 7, 16384, 1.0)
(17, 5, 7, 16384, 1.0)
(18, 5, 7, 16384, 1.0)
(19, 5, 7, 16384, 1.0)
(20, 5, 7, 16384, 1.0)
(21, 5, 7, 16384, 1.0)
(22, 5, 7, 16384, 1.0)
(23, 5, 7, 16384, 1.0)
(24, 5, 7, 16384, 1.0)
(25, 5, 7, 16384, 1.0)
(26, 5, 7, 16384, 1.0)
(27, 5, 7, 16384, 1.0)
(28, 5, 7, 16384, 1.0)
(29, 5, 7, 16384, 1.0)
(30, 5, 7, 16384, 1.0)
(31, 5, 7, 16384, 1.0)
(32, 5, 7, 16384, 1.0)
(33, 5, 7, 16384, 1.0)
(34, 5, 7, 16384, 1.0)
(35, 5, 7, 16384, 1.0)
(36, 5, 7, 16384, 1.0)
(37, 5, 7, 16384, 1.0)
(38, 5, 7, 16384, 1.0)
(39, 5, 7, 16384, 1.0)
(40, 5, 7, 16384, 1.0)
(41, 5, 7, 16384, 1.0)
(42, 5, 7, 16384, 1.0)
(43, 5, 7, 16384, 1.0)
(44, 5, 7, 16384, 1.0)
(45, 5, 7, 16384, 1.0)
(46, 5, 7, 16384, 1.0)
(47, 5, 7, 16384, 1.0)
(48, 5, 7, 16384, 1.0)
(49, 5, 7, 16384, 1.0)
(50, 5, 7, 16384, 1.0)
(51, 5, 7, 1449, 0.08843994140625, 'intermediate', 1, 0.03497314453125)
(51, 5, 7, 14265, 0.87066650390625, 'intermediate', 2, 0.08843994140625)
(51, 5, 7, 16384, 1.0)
(52, 5, 7, 3644, 0.222412109375, 'intermediate', 1, 0.0594482421875)
(52, 5, 7, 16384, 1.0)
(53, 5, 7, 16384, 1.0)
(54, 5, 7, 1594, 0.0972900390625, 'intermediate', 1, 0.0863037109375)
(54, 5, 7, 16384, 1.0)
(55, 5, 7, 1084, 0.066162109375, 'intermediate', 1, 0.06158447265625)
(55, 5, 7, 16384, 1.0)
(56, 5, 7, 11567, 0.70599365234375)
KVC(0.95): (55, 5, 7)

(1, 5, 8, 1, 1.0)
(2, 5, 8, 2, 1.0)
(3, 5, 8, 4, 1.0)
(4, 5, 8, 8, 1.0)
(5, 5, 8, 16, 1.0)
(6, 5, 8, 32, 1.0)
(7, 5, 8, 64, 1.0)
(8, 5, 8, 128, 1.0)
(9, 5, 8, 256, 1.0)
(10, 5, 8, 512, 1.0)
(11, 5, 8, 1024, 1.0)
(12, 5, 8, 2048, 1.0)
(13, 5, 8, 4096, 1.0)
(14, 5, 8, 8192, 1.0)
(15, 5, 8, 16384, 1.0)
(16, 5, 8, 16384, 1.0)
(17, 5, 8, 16384, 1.0)
(18, 5, 8, 16384, 1.0)
(19, 5, 8, 16384, 1.0)
(20, 5, 8, 16384, 1.0)
(21, 5, 8, 16384, 1.0)
(22, 5, 8, 16384, 1.0)
(23, 5, 8, 16384, 1.0)
(24, 5, 8, 16384, 1.0)
(25, 5, 8, 16384, 1.0)
(26, 5, 8, 16384, 1.0)
(27, 5, 8, 16384, 1.0)
(28, 5, 8, 16384, 1.0)
(29, 5, 8, 16384, 1.0)
(30, 5, 8, 16384, 1.0)
(31, 5, 8, 16384, 1.0)
(32, 5, 8, 16384, 1.0)
(33, 5, 8, 16384, 1.0)
(34, 5, 8, 16384, 1.0)
(35, 5, 8, 16384, 1.0)
(36, 5, 8, 16384, 1.0)
(37, 5, 8, 16384, 1.0)
(38, 5, 8, 16384, 1.0)
(39, 5, 8, 16384, 1.0)
(40, 5, 8, 16384, 1.0)
(41, 5, 8, 16384, 1.0)
(42, 5, 8, 16384, 1.0)
(43, 5, 8, 16384, 1.0)
(44, 5, 8, 16384, 1.0)
(45, 5, 8, 16384, 1.0)
(46, 5, 8, 16384, 1.0)
(47, 5, 8, 16384, 1.0)
(48, 5, 8, 16384, 1.0)
(49, 5, 8, 16384, 1.0)
(50, 5, 8, 16384, 1.0)
(51, 5, 8, 16384, 1.0)
(52, 5, 8, 16384, 1.0)
(53, 5, 8, 16384, 1.0)
(54, 5, 8, 16384, 1.0)
(55, 5, 8, 16384, 1.0)
(56, 5, 8, 16384, 1.0)
(57, 5, 8, 16384, 1.0)
(58, 5, 8, 16384, 1.0)
(59, 5, 8, 16384, 1.0)
(60, 5, 8, 16384, 1.0)
done

(60, 5, 8, 16384, 1.0)
(61, 5, 8, 13781, 0.84112548828125, 'intermediate', 1, 0.5452880859375)
(61, 5, 8, 16384, 1.0)
(62, 5, 8, 16384, 1.0)
(63, 5, 8, 3370, 0.2056884765625, 'intermediate', 1, 0.0489501953125)
(63, 5, 8, 14831, 0.90521240234375, 'intermediate', 2, 0.2056884765625)
(63, 5, 8, 16384, 1.0)
(64, 5, 8, 16384, 1.0)
(65, 5, 8, 5398, 0.3294677734375, 'intermediate', 1, 0.00701904296875)
(65, 5, 8, 13329, 0.81353759765625, 'intermediate', 3, 0.3294677734375)
(65, 5, 8, 16384, 1.0)


('n', 'k', 'h', 'successful classifications', 'rate')
(1, 6, 1, 1, 1.0)
(2, 6, 1, 2, 1.0)
(3, 6, 1, 4, 1.0)
(4, 6, 1, 8, 1.0)
(5, 6, 1, 16, 1.0)
(6, 6, 1, 23, 0.71875, 'intermediate', 1, 0.375)
(6, 6, 1, 32, 1.0)
(7, 6, 1, 43, 0.671875, 'intermediate', 2, 0.375)
(7, 6, 1, 64, 1.0)
(8, 6, 1, 15, 0.1171875, 'intermediate', 1, 0.1015625)
(8, 6, 1, 45, 0.3515625, 'intermediate', 2, 0.1171875)
(8, 6, 1, 75, 0.5859375, 'intermediate', 5, 0.3515625)
(8, 6, 1, 75, 0.5859375)
KVC(0.95): (7, 6, 1)

(1, 6, 2, 1, 1.0)
(2, 6, 2, 2, 1.0)
(3, 6, 2, 4, 1.0)
(4, 6, 2, 8, 1.0)
(5, 6, 2, 16, 1.0)
(6, 6, 2, 32, 1.0)
(7, 6, 2, 64, 1.0)
(8, 6, 2, 128, 1.0)
(9, 6, 2, 256, 1.0)
(10, 6, 2, 451, 0.880859375, 'intermediate', 2, 0.861328125)
(10, 6, 2, 512, 1.0)
(11, 6, 2, 110, 0.107421875, 'intermediate', 1, 0.0361328125)
(11, 6, 2, 173, 0.1689453125, 'intermediate', 2, 0.107421875)
(11, 6, 2, 459, 0.4482421875, 'intermediate', 3, 0.1689453125)
(11, 6, 2, 556, 0.54296875, 'intermediate', 7, 0.4482421875)
(11, 6, 2, 574, 0.560546875, 'intermediate', 8, 0.54296875)
(11, 6, 2, 1024, 1.0)
(12, 6, 2, 668, 0.326171875, 'intermediate', 6, 0.20458984375)
(12, 6, 2, 1729, 0.84423828125, 'intermediate', 11, 0.326171875)
(12, 6, 2, 1729, 0.84423828125)
KVC(0.95): (11, 6, 2)

(1, 6, 3, 1, 1.0)
(2, 6, 3, 2, 1.0)
(3, 6, 3, 4, 1.0)
(4, 6, 3, 8, 1.0)
(5, 6, 3, 16, 1.0)
(6, 6, 3, 32, 1.0)
(7, 6, 3, 64, 1.0)
(8, 6, 3, 128, 1.0)
(9, 6, 3, 256, 1.0)
(10, 6, 3, 512, 1.0)
(11, 6, 3, 1024, 1.0)
(12, 6, 3, 2048, 1.0)
(13, 6, 3, 4096, 1.0)
(14, 6, 3, 8192, 1.0)
(15, 6, 3, 16384, 1.0)
(16, 6, 3, 16384, 1.0)
(17, 6, 3, 16384, 1.0)
(18, 6, 3, 8831, 0.53900146484375, 'intermediate', 2, 0.1790771484375)
(18, 6, 3, 16384, 1.0)
(19, 6, 3, 1670, 0.1019287109375, 'intermediate', 2, 0.09197998046875)
(19, 6, 3, 10417, 0.63580322265625, 'intermediate', 4, 0.1019287109375)
(19, 6, 3, 12223, 0.74603271484375, 'intermediate', 16, 0.63580322265625)
(19, 6, 3, 12223, 0.74603271484375)
KVC(0.95): (18, 6, 3)

(1, 6, 4, 1, 1.0)
(2, 6, 4, 2, 1.0)
(3, 6, 4, 4, 1.0)
(4, 6, 4, 8, 1.0)
(5, 6, 4, 16, 1.0)
(6, 6, 4, 32, 1.0)
(7, 6, 4, 64, 1.0)
(8, 6, 4, 128, 1.0)
(9, 6, 4, 256, 1.0)
(10, 6, 4, 512, 1.0)
(11, 6, 4, 1024, 1.0)
(12, 6, 4, 2048, 1.0)
(13, 6, 4, 4096, 1.0)
(14, 6, 4, 8192, 1.0)
(15, 6, 4, 16384, 1.0)
(16, 6, 4, 16384, 1.0)
(17, 6, 4, 16384, 1.0)
(18, 6, 4, 16384, 1.0)
(19, 6, 4, 16384, 1.0)
(20, 6, 4, 16384, 1.0)
(21, 6, 4, 16384, 1.0)
(22, 6, 4, 16384, 1.0)
(23, 6, 4, 16384, 1.0)
(24, 6, 4, 5489, 0.33502197265625, 'intermediate', 1, 0.29144287109375)
(24, 6, 4, 7745, 0.47271728515625, 'intermediate', 6, 0.33502197265625)
(24, 6, 4, 10376, 0.63330078125, 'intermediate', 7, 0.47271728515625)
(24, 6, 4, 16384, 1.0)
(25, 6, 4, 14627, 0.89276123046875, 'intermediate', 2, 0.2132568359375)
(25, 6, 4, 16384, 1.0)
(26, 6, 4, 3142, 0.1917724609375, 'intermediate', 1, 0.0203857421875)
(26, 6, 4, 14227, 0.86834716796875, 'intermediate', 2, 0.1917724609375)
(26, 6, 4, 14626, 0.8927001953125, 'intermediate', 16, 0.86834716796875)
(26, 6, 4, 14626, 0.8927001953125)
KVC(0.95): (25, 6, 4)

(1, 6, 5, 1, 1.0)
(2, 6, 5, 2, 1.0)
(3, 6, 5, 4, 1.0)
(4, 6, 5, 8, 1.0)
(5, 6, 5, 16, 1.0)
(6, 6, 5, 32, 1.0)
(7, 6, 5, 64, 1.0)
(8, 6, 5, 128, 1.0)
(9, 6, 5, 256, 1.0)
(10, 6, 5, 512, 1.0)
(11, 6, 5, 1024, 1.0)
(12, 6, 5, 2048, 1.0)
(13, 6, 5, 4096, 1.0)
(14, 6, 5, 8192, 1.0)
(15, 6, 5, 16384, 1.0)
(16, 6, 5, 16384, 1.0)
(17, 6, 5, 16384, 1.0)
(18, 6, 5, 16384, 1.0)
(19, 6, 5, 16384, 1.0)
(20, 6, 5, 16384, 1.0)
(21, 6, 5, 16384, 1.0)
(22, 6, 5, 16384, 1.0)
(23, 6, 5, 16384, 1.0)
(24, 6, 5, 16384, 1.0)
(25, 6, 5, 16384, 1.0)
(26, 6, 5, 16384, 1.0)
(27, 6, 5, 16384, 1.0)
(28, 6, 5, 16384, 1.0)
(29, 6, 5, 16384, 1.0)
(30, 6, 5, 16384, 1.0)
(31, 6, 5, 16384, 1.0)
(32, 6, 5, 16384, 1.0)
(33, 6, 5, 16384, 1.0)
(34, 6, 5, 16384, 1.0)
(35, 6, 5, 16384, 1.0)
(36, 6, 5, 16384, 1.0)
(37, 6, 5, 7638, 0.4661865234375, 'intermediate', 1, 0.01593017578125)
(37, 6, 5, 11800, 0.72021484375, 'intermediate', 2, 0.4661865234375)
(37, 6, 5, 16384, 1.0)
(38, 6, 5, 13231, 0.80755615234375, 'intermediate', 2, 0.1778564453125)
(38, 6, 5, 16384, 1.0)
(39, 6, 5, 1213, 0.07403564453125, 'intermediate', 4, 0.0670166015625)
(39, 6, 5, 1365, 0.08331298828125, 'intermediate', 6, 0.07403564453125)
(39, 6, 5, 8789, 0.53643798828125, 'intermediate', 7, 0.08331298828125)
(39, 6, 5, 12352, 0.75390625, 'intermediate', 8, 0.53643798828125)
(39, 6, 5, 16384, 1.0)
(40, 6, 5, 1518, 0.0926513671875, 'intermediate', 1, 0.0828857421875)
(40, 6, 5, 9517, 0.58087158203125, 'intermediate', 3, 0.0926513671875)
(40, 6, 5, 10414, 0.6356201171875, 'intermediate', 8, 0.58087158203125)
(40, 6, 5, 10414, 0.6356201171875)
KVC(0.95): (39, 6, 5)

(1, 6, 6, 1, 1.0)
(2, 6, 6, 2, 1.0)
(3, 6, 6, 4, 1.0)
(4, 6, 6, 8, 1.0)
(5, 6, 6, 16, 1.0)
(6, 6, 6, 32, 1.0)
(7, 6, 6, 64, 1.0)
(8, 6, 6, 128, 1.0)
(9, 6, 6, 256, 1.0)
(10, 6, 6, 512, 1.0)
(11, 6, 6, 1024, 1.0)
(12, 6, 6, 2048, 1.0)
(13, 6, 6, 4096, 1.0)
(14, 6, 6, 8192, 1.0)
(15, 6, 6, 16384, 1.0)
(16, 6, 6, 16384, 1.0)
(17, 6, 6, 16384, 1.0)
(18, 6, 6, 16384, 1.0)
(19, 6, 6, 16384, 1.0)
(20, 6, 6, 16384, 1.0)
(21, 6, 6, 16384, 1.0)
(22, 6, 6, 16384, 1.0)
(23, 6, 6, 16384, 1.0)
(24, 6, 6, 16384, 1.0)
(25, 6, 6, 16384, 1.0)
(26, 6, 6, 16384, 1.0)
(27, 6, 6, 16384, 1.0)
(28, 6, 6, 16384, 1.0)
(29, 6, 6, 16384, 1.0)
(30, 6, 6, 16384, 1.0)
(31, 6, 6, 16384, 1.0)
(32, 6, 6, 16384, 1.0)
(33, 6, 6, 16384, 1.0)
(34, 6, 6, 16384, 1.0)
(35, 6, 6, 16384, 1.0)
(36, 6, 6, 16384, 1.0)
(37, 6, 6, 16384, 1.0)
(38, 6, 6, 16384, 1.0)
(39, 6, 6, 16384, 1.0)
(40, 6, 6, 16384, 1.0)
(41, 6, 6, 16384, 1.0)
(42, 6, 6, 16384, 1.0)
(43, 6, 6, 16384, 1.0)
(44, 6, 6, 16384, 1.0)
(45, 6, 6, 16384, 1.0)
(46, 6, 6, 16384, 1.0)
(47, 6, 6, 16384, 1.0)
(48, 6, 6, 16384, 1.0)
(49, 6, 6, 16384, 1.0)
(50, 6, 6, 16384, 1.0)
(51, 6, 6, 16384, 1.0)
(52, 6, 6, 16384, 1.0)
(53, 6, 6, 5382, 0.3284912109375, 'intermediate', 1, 0.2388916015625)
(53, 6, 6, 16384, 1.0)
(54, 6, 6, 16384, 1.0)
(55, 6, 6, 8297, 0.50640869140625, 'intermediate', 2, 0.19140625)
(55, 6, 6, 16384, 1.0)
(56, 6, 6, 4015, 0.24505615234375, 'intermediate', 1, 0.14459228515625)
(56, 6, 6, 16384, 1.0)
(57, 6, 6, 6360, 0.38818359375)
KVC(0.95): (56, 6, 6)

(1, 6, 7, 1, 1.0)
(2, 6, 7, 2, 1.0)
(3, 6, 7, 4, 1.0)
(4, 6, 7, 8, 1.0)
(5, 6, 7, 16, 1.0)
(6, 6, 7, 32, 1.0)
(7, 6, 7, 64, 1.0)
(8, 6, 7, 128, 1.0)
(9, 6, 7, 256, 1.0)
(10, 6, 7, 512, 1.0)
(11, 6, 7, 1024, 1.0)
(12, 6, 7, 2048, 1.0)
(13, 6, 7, 4096, 1.0)
(14, 6, 7, 8192, 1.0)
(15, 6, 7, 16384, 1.0)
(16, 6, 7, 16384, 1.0)
(17, 6, 7, 16384, 1.0)
(18, 6, 7, 16384, 1.0)
(19, 6, 7, 16384, 1.0)
(20, 6, 7, 16384, 1.0)
(21, 6, 7, 16384, 1.0)
(22, 6, 7, 16384, 1.0)
(23, 6, 7, 16384, 1.0)
(24, 6, 7, 16384, 1.0)
(25, 6, 7, 16384, 1.0)
(26, 6, 7, 16384, 1.0)
(27, 6, 7, 16384, 1.0)
(28, 6, 7, 16384, 1.0)
(29, 6, 7, 16384, 1.0)
(30, 6, 7, 16384, 1.0)
(31, 6, 7, 16384, 1.0)
(32, 6, 7, 16384, 1.0)
(33, 6, 7, 16384, 1.0)
(34, 6, 7, 16384, 1.0)
(35, 6, 7, 16384, 1.0)
(36, 6, 7, 16384, 1.0)
(37, 6, 7, 16384, 1.0)
(38, 6, 7, 16384, 1.0)
(39, 6, 7, 16384, 1.0)
(40, 6, 7, 16384, 1.0)
(41, 6, 7, 16384, 1.0)
(42, 6, 7, 16384, 1.0)
(43, 6, 7, 16384, 1.0)
(44, 6, 7, 16384, 1.0)
(45, 6, 7, 16384, 1.0)
(46, 6, 7, 16384, 1.0)
(47, 6, 7, 16384, 1.0)
(48, 6, 7, 16384, 1.0)
(49, 6, 7, 16384, 1.0)
(50, 6, 7, 16384, 1.0)
(51, 6, 7, 16384, 1.0)
(52, 6, 7, 16384, 1.0)
(53, 6, 7, 16384, 1.0)
(54, 6, 7, 16384, 1.0)
(55, 6, 7, 16384, 1.0)
(56, 6, 7, 16384, 1.0)
(57, 6, 7, 16384, 1.0)
(58, 6, 7, 16384, 1.0)
(59, 6, 7, 16384, 1.0)
(60, 6, 7, 16384, 1.0)
(1, 6, 8, 1, 1.0)
(2, 6, 8, 2, 1.0)
(3, 6, 8, 4, 1.0)
(4, 6, 8, 8, 1.0)
(5, 6, 8, 16, 1.0)
(6, 6, 8, 32, 1.0)
(7, 6, 8, 64, 1.0)
(8, 6, 8, 128, 1.0)
(9, 6, 8, 256, 1.0)
(10, 6, 8, 512, 1.0)
(11, 6, 8, 1024, 1.0)
(12, 6, 8, 2048, 1.0)
(13, 6, 8, 4096, 1.0)
(14, 6, 8, 8192, 1.0)
(15, 6, 8, 16384, 1.0)
(16, 6, 8, 16384, 1.0)
(17, 6, 8, 16384, 1.0)
(18, 6, 8, 16384, 1.0)
(19, 6, 8, 16384, 1.0)
(20, 6, 8, 16384, 1.0)
(21, 6, 8, 16384, 1.0)
(22, 6, 8, 16384, 1.0)
(23, 6, 8, 16384, 1.0)
(24, 6, 8, 16384, 1.0)
(25, 6, 8, 16384, 1.0)
(26, 6, 8, 16384, 1.0)
(27, 6, 8, 16384, 1.0)
(28, 6, 8, 16384, 1.0)
(29, 6, 8, 16384, 1.0)
(30, 6, 8, 16384, 1.0)
(31, 6, 8, 16384, 1.0)
(32, 6, 8, 16384, 1.0)
(33, 6, 8, 16384, 1.0)
(34, 6, 8, 16384, 1.0)
(35, 6, 8, 16384, 1.0)
(36, 6, 8, 16384, 1.0)
(37, 6, 8, 16384, 1.0)
(38, 6, 8, 16384, 1.0)
(39, 6, 8, 16384, 1.0)




N = 60
K = [6] #,3,4,5] #,2,3,4,5] #,4] #,3] #,4,5,6,7,8] #,9,10]
H = [1,2,3,4,5,6,7,8] #,32,128,512]
max_l = 15

import itertools
import numpy
import random
from sklearn.neural_network import MLPClassifier

results = []
print("n","k","h","successful classifications", "rate")
for k in K:
    numpy.random.seed(0)
    # print data
    for h in H:
        numpy.random.seed(0)
        for n in range(N):
            n += 1
            data_results = []
            l_len = min(n-1,max_l-1)
            for r_data in range(20):
                numpy.random.seed(r_data)
                data = numpy.random.normal(size=[N,k])
                numpy.random.seed(0)
                true_results = 0
                for label_int in range(2**l_len):
                    if max_l < n:
                      label_int = numpy.random.randint(0, 2**(n-1))
                    labels = [int(i) for i in bin(label_int * 2 + 2**(N+2))[-n:]]
                    d = data[:n]
                    converged = False
                    for r_mlp in range(20): #lbfgs
                        clf = MLPClassifier(
                            hidden_layer_sizes=(h,), random_state=r_mlp, 
                            #activation='relu', solver="lbfgs",
                            activation='relu', solver="lbfgs",
                            alpha=0)
                        clf.fit(d, labels)
                        if (clf.predict(d) == labels).all():
                            true_results += 1
                            converged = True
                            break
                    if not converged:
                      break
                if true_results == 2**l_len:
                    data_results.append(true_results)
                    break
                if data_results and true_results > max(data_results):
                    print(n, k, h, true_results, true_results*1.0/2**l_len, "intermediate", r_data, max(data_results)*1.0/2**l_len)
                data_results.append(true_results)
            true_results = max(data_results)
            print(n, k, h, true_results, true_results*1.0/2**l_len)
            results.append((n, k, h, true_results, true_results*1.0/2**l_len))
            if true_results*1.0/2**l_len < 0.95:
                print "KVC(0.95): "+str((n-1,k, h))
                print
                break
    print "done"