results_relu_15max_40data_40runs.txt

k	h	nVC	eVC	h(k+1)
1	1	2	2	2
	2	3	3	4
	3	5	4	6
	4	6	5	8
	5	6	5	10
	6	7	5	12
	7	7	7	14
	8	7	7	16
2	1	3	3	3
	2	6	6	6
	3	9	8	9
	4	10	9	12
	5	12	11	15
	6	14	12	18
	7	16	13	21
	8	18	14	24
3	1	4	4	4
	2	9	8	8
	3	12	11	12
	4	16	14	16
	5	21	17	20
	6	26	22	24
	7	31	27	28
	8	35	29	32
4	1	5	5	5
	2	11	9	10
	3	16	14	15
	4	22	18	20
	5	30	25	25
	6	38	30	30
	7	48	40	35
	8	56	48	40
5	1	6	6	6
	2	13	11	12
	3	20	15	18
	4	31	24	24
	5	39	32	30
	6	51	43	36
	7	63	55	42
	8	76	65	48


('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, 11, 0.6875, 'intermediate', 2, 0.5625)
(5, 1, 3, 16, 1.0, 'intermediate', 7, 0.6875)
(5, 1, 3, 16, 1.0)
(6, 1, 3, 9, 0.28125, 'intermediate', 2, 0.15625)
(6, 1, 3, 11, 0.34375, 'intermediate', 3, 0.28125)
(6, 1, 3, 18, 0.5625, 'intermediate', 5, 0.34375)
(6, 1, 3, 18, 0.5625)
KVC(0.95): (5, 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, 16, 1.0, 'intermediate', 1, 0.5625)
(5, 1, 4, 16, 1.0)
(6, 1, 4, 6, 0.1875, 'intermediate', 1, 0.15625)
(6, 1, 4, 23, 0.71875, 'intermediate', 2, 0.1875)
(6, 1, 4, 32, 1.0, 'intermediate', 6, 0.71875)
(6, 1, 4, 32, 1.0)
(7, 1, 4, 19, 0.296875, 'intermediate', 1, 0.15625)
(7, 1, 4, 21, 0.328125, 'intermediate', 2, 0.296875)
(7, 1, 4, 23, 0.359375, 'intermediate', 8, 0.328125)
(7, 1, 4, 23, 0.359375)
KVC(0.95): (6, 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, 16, 1.0, 'intermediate', 1, 0.5625)
(5, 1, 5, 16, 1.0)
(6, 1, 5, 22, 0.6875, 'intermediate', 1, 0.15625)
(6, 1, 5, 32, 1.0, 'intermediate', 2, 0.6875)
(6, 1, 5, 32, 1.0)
(7, 1, 5, 19, 0.296875, 'intermediate', 1, 0.171875)
(7, 1, 5, 23, 0.359375, 'intermediate', 2, 0.296875)
(7, 1, 5, 23, 0.359375)
KVC(0.95): (6, 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, 16, 1.0, 'intermediate', 1, 0.5625)
(5, 1, 6, 16, 1.0)
(6, 1, 6, 32, 1.0, 'intermediate', 1, 0.15625)
(6, 1, 6, 32, 1.0)
(7, 1, 6, 44, 0.6875, 'intermediate', 1, 0.15625)
(7, 1, 6, 64, 1.0, 'intermediate', 2, 0.6875)
(7, 1, 6, 64, 1.0)
(8, 1, 6, 39, 0.3046875, 'intermediate', 1, 0.0546875)
(8, 1, 6, 39, 0.3046875)
KVC(0.95): (7, 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, 'intermediate', 1, 0.8125)
(5, 1, 7, 16, 1.0)
(6, 1, 7, 32, 1.0, 'intermediate', 1, 0.15625)
(6, 1, 7, 32, 1.0)
(7, 1, 7, 64, 1.0, 'intermediate', 1, 0.171875)
(7, 1, 7, 64, 1.0)
(8, 1, 7, 39, 0.3046875, 'intermediate', 1, 0.0546875)
(8, 1, 7, 45, 0.3515625, 'intermediate', 4, 0.3046875)
(8, 1, 7, 83, 0.6484375, 'intermediate', 8, 0.3515625)
(8, 1, 7, 83, 0.6484375)
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, 'intermediate', 1, 0.5625)
(5, 1, 8, 16, 1.0)
(6, 1, 8, 32, 1.0, 'intermediate', 1, 0.15625)
(6, 1, 8, 32, 1.0)
(7, 1, 8, 64, 1.0, 'intermediate', 1, 0.40625)
(7, 1, 8, 64, 1.0)
(8, 1, 8, 44, 0.34375, 'intermediate', 1, 0.0546875)
(8, 1, 8, 44, 0.34375)
KVC(0.95): (7, 1, 8)

done

('n', 'k', 'h', 'successful classifications', 'rate')
(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)

(4, 2, 2, 8, 1.0)
(5, 2, 2, 16, 1.0)
(6, 2, 2, 32, 1.0)
(7, 2, 2, 45, 0.703125, 'intermediate', 4, 0.578125)
(7, 2, 2, 57, 0.890625, 'intermediate', 20, 0.703125)
(7, 2, 2, 57, 0.890625)
KVC(0.95): (6, 2, 2)

(6, 2, 3, 32, 1.0)
(7, 2, 3, 64, 1.0)
(8, 2, 3, 67, 0.5234375, 'intermediate', 1, 0.1171875)
(8, 2, 3, 81, 0.6328125, 'intermediate', 2, 0.5234375)
(8, 2, 3, 128, 1.0, 'intermediate', 4, 0.6328125)
(8, 2, 3, 128, 1.0)
(9, 2, 3, 107, 0.41796875, 'intermediate', 10, 0.3828125)
(9, 2, 3, 131, 0.51171875, 'intermediate', 12, 0.41796875)
(9, 2, 3, 140, 0.546875, 'intermediate', 21, 0.51171875)
(9, 2, 3, 256, 1.0, 'intermediate', 26, 0.546875)
(9, 2, 3, 256, 1.0)
(10, 2, 3, 116, 0.2265625, 'intermediate', 1, 0.068359375)
(10, 2, 3, 120, 0.234375, 'intermediate', 5, 0.2265625)
(10, 2, 3, 124, 0.2421875, 'intermediate', 35, 0.234375)
(10, 2, 3, 124, 0.2421875)
KVC(0.95): (9, 2, 3)

(8, 2, 4, 128, 1.0, 'intermediate', 1, 0.4140625)
(8, 2, 4, 128, 1.0)
(9, 2, 4, 256, 1.0, 'intermediate', 1, 0.4296875)
(9, 2, 4, 256, 1.0)
(10, 2, 4, 512, 1.0, 'intermediate', 1, 0.068359375)
(10, 2, 4, 512, 1.0)
(11, 2, 4, 87, 0.0849609375, 'intermediate', 1, 0.0458984375)
(11, 2, 4, 94, 0.091796875, 'intermediate', 4, 0.0849609375)
(11, 2, 4, 325, 0.3173828125, 'intermediate', 5, 0.091796875)
(11, 2, 4, 531, 0.5185546875, 'intermediate', 7, 0.3173828125)
(11, 2, 4, 589, 0.5751953125, 'intermediate', 9, 0.5185546875)
(11, 2, 4, 774, 0.755859375, 'intermediate', 20, 0.5751953125)
(11, 2, 4, 948, 0.92578125, 'intermediate', 26, 0.755859375)
(11, 2, 4, 948, 0.92578125)
KVC(0.95): (10, 2, 4)

(10, 2, 5, 512, 1.0, 'intermediate', 1, 0.734375)
(10, 2, 5, 512, 1.0)
(11, 2, 5, 365, 0.3564453125, 'intermediate', 1, 0.068359375)
(11, 2, 5, 1024, 1.0, 'intermediate', 5, 0.3564453125)
(11, 2, 5, 1024, 1.0)
(12, 2, 5, 1127, 0.55029296875, 'intermediate', 1, 0.06884765625)
(12, 2, 5, 2048, 1.0, 'intermediate', 6, 0.55029296875)
(12, 2, 5, 2048, 1.0)
(13, 2, 5, 411, 0.100341796875, 'intermediate', 1, 0.029541015625)
(13, 2, 5, 525, 0.128173828125, 'intermediate', 2, 0.100341796875)
(13, 2, 5, 1942, 0.47412109375, 'intermediate', 6, 0.128173828125)
(13, 2, 5, 1942, 0.47412109375)
KVC(0.95): (12, 2, 5)

(12, 2, 6, 2048, 1.0, 'intermediate', 2, 0.7392578125)
(12, 2, 6, 2048, 1.0)
(13, 2, 6, 921, 0.224853515625, 'intermediate', 1, 0.057861328125)
(13, 2, 6, 2315, 0.565185546875, 'intermediate', 2, 0.224853515625)
(13, 2, 6, 4096, 1.0, 'intermediate', 6, 0.565185546875)
(13, 2, 6, 4096, 1.0)
(14, 2, 6, 667, 0.0814208984375, 'intermediate', 1, 0.026123046875)
(14, 2, 6, 829, 0.1011962890625, 'intermediate', 2, 0.0814208984375)
(14, 2, 6, 3815, 0.4656982421875, 'intermediate', 6, 0.1011962890625)
(14, 2, 6, 8192, 1.0, 'intermediate', 8, 0.4656982421875)
(14, 2, 6, 8192, 1.0)
(15, 2, 6, 318, 0.0194091796875, 'intermediate', 1, 0.0106201171875)
(15, 2, 6, 1658, 0.1011962890625, 'intermediate', 2, 0.0194091796875)
(15, 2, 6, 6606, 0.4031982421875, 'intermediate', 6, 0.1011962890625)
(15, 2, 6, 6606, 0.4031982421875)
KVC(0.95): (14, 2, 6)

(14, 2, 7, 663, 0.0809326171875, 'intermediate', 1, 0.057373046875)
(14, 2, 7, 1913, 0.2335205078125, 'intermediate', 2, 0.0809326171875)
(14, 2, 7, 7438, 0.907958984375, 'intermediate', 4, 0.2335205078125)
(14, 2, 7, 8192, 1.0, 'intermediate', 6, 0.907958984375)
(14, 2, 7, 8192, 1.0)
(15, 2, 7, 1319, 0.08050537109375, 'intermediate', 1, 0.0301513671875)
(15, 2, 7, 1650, 0.1007080078125, 'intermediate', 2, 0.08050537109375)
(15, 2, 7, 1657, 0.10113525390625, 'intermediate', 4, 0.1007080078125)
(15, 2, 7, 7753, 0.47320556640625, 'intermediate', 6, 0.10113525390625)
(15, 2, 7, 16384, 1.0, 'intermediate', 8, 0.47320556640625)
(15, 2, 7, 16384, 1.0)
(16, 2, 7, 361, 0.02203369140625, 'intermediate', 2, 0.0068359375)
(16, 2, 7, 1800, 0.10986328125, 'intermediate', 6, 0.02203369140625)
(16, 2, 7, 16384, 1.0, 'intermediate', 8, 0.10986328125)
(16, 2, 7, 16384, 1.0)
(17, 2, 7, 287, 0.01751708984375, 'intermediate', 1, 0.00274658203125)
(17, 2, 7, 1499, 0.09149169921875, 'intermediate', 6, 0.01751708984375)
(17, 2, 7, 12804, 0.781494140625, 'intermediate', 8, 0.09149169921875)
(17, 2, 7, 12804, 0.781494140625)
KVC(0.95): (16, 2, 7)

(16, 2, 8, 901, 0.05499267578125, 'intermediate', 1, 0.0135498046875)
(16, 2, 8, 1155, 0.07049560546875, 'intermediate', 3, 0.05499267578125)
(16, 2, 8, 16384, 1.0, 'intermediate', 6, 0.07049560546875)
(16, 2, 8, 16384, 1.0)
(17, 2, 8, 419, 0.02557373046875, 'intermediate', 1, 0.00518798828125)
(17, 2, 8, 1785, 0.10894775390625, 'intermediate', 2, 0.02557373046875)
(17, 2, 8, 16384, 1.0, 'intermediate', 8, 0.10894775390625)
(17, 2, 8, 16384, 1.0)
(18, 2, 8, 2737, 0.16705322265625, 'intermediate', 2, 0.02276611328125)
(18, 2, 8, 8335, 0.50872802734375, 'intermediate', 8, 0.16705322265625)
(18, 2, 8, 10990, 0.6707763671875, 'intermediate', 17, 0.50872802734375)
(18, 2, 8, 16384, 1.0, 'intermediate', 26, 0.6707763671875)
(18, 2, 8, 16384, 1.0)
(19, 2, 8, 198, 0.0120849609375, 'intermediate', 3, 0.00408935546875)
(19, 2, 8, 440, 0.02685546875, 'intermediate', 7, 0.0120849609375)
(19, 2, 8, 729, 0.04449462890625, 'intermediate', 8, 0.02685546875)
(19, 2, 8, 2309, 0.14093017578125, 'intermediate', 9, 0.04449462890625)
(19, 2, 8, 4196, 0.256103515625, 'intermediate', 13, 0.14093017578125)
(19, 2, 8, 6391, 0.39007568359375, 'intermediate', 26, 0.256103515625)
(19, 2, 8, 6391, 0.39007568359375)
KVC(0.95): (18, 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, 'intermediate', 1, 0.3046875)
(8, 3, 2, 128, 1.0)
(9, 3, 2, 122, 0.4765625, 'intermediate', 3, 0.3046875)
(9, 3, 2, 256, 1.0, 'intermediate', 4, 0.4765625)
(9, 3, 2, 256, 1.0)
(10, 3, 2, 92, 0.1796875, 'intermediate', 1, 0.044921875)
(10, 3, 2, 135, 0.263671875, 'intermediate', 5, 0.1796875)
(10, 3, 2, 156, 0.3046875, 'intermediate', 9, 0.263671875)
(10, 3, 2, 269, 0.525390625, 'intermediate', 12, 0.3046875)
(10, 3, 2, 275, 0.537109375, 'intermediate', 13, 0.525390625)
(10, 3, 2, 275, 0.537109375)
KVC(0.95): (9, 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, 1024, 1.0, 'intermediate', 1, 0.6884765625)
(11, 3, 3, 1024, 1.0)
(12, 3, 3, 2048, 1.0, 'intermediate', 10, 0.45458984375)
(12, 3, 3, 2048, 1.0)
(13, 3, 3, 1292, 0.3154296875, 'intermediate', 5, 0.2861328125)
(13, 3, 3, 2311, 0.564208984375, 'intermediate', 10, 0.3154296875)
(13, 3, 3, 3012, 0.7353515625, 'intermediate', 34, 0.564208984375)
(13, 3, 3, 3012, 0.7353515625)
KVC(0.95): (12, 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, 8192, 1.0)
(15, 3, 4, 16384, 1.0, 'intermediate', 1, 0.0885009765625)
(15, 3, 4, 16384, 1.0)
(16, 3, 4, 5804, 0.354248046875, 'intermediate', 7, 0.13690185546875)
(16, 3, 4, 11184, 0.6826171875, 'intermediate', 8, 0.354248046875)
(16, 3, 4, 12349, 0.75372314453125, 'intermediate', 18, 0.6826171875)
(16, 3, 4, 16384, 1.0, 'intermediate', 36, 0.75372314453125)
(16, 3, 4, 16384, 1.0)
(17, 3, 4, 6169, 0.37652587890625, 'intermediate', 1, 0.0447998046875)
(17, 3, 4, 7939, 0.48455810546875, 'intermediate', 36, 0.37652587890625)
(17, 3, 4, 7939, 0.48455810546875)
KVC(0.95): (16, 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, 16384, 1.0)
(19, 3, 5, 16384, 1.0, 'intermediate', 1, 0.84051513671875)
(19, 3, 5, 16384, 1.0)
(20, 3, 5, 5896, 0.35986328125, 'intermediate', 1, 0.11993408203125)
(20, 3, 5, 10339, 0.63104248046875, 'intermediate', 2, 0.35986328125)
(20, 3, 5, 13528, 0.82568359375, 'intermediate', 5, 0.63104248046875)
(20, 3, 5, 16384, 1.0, 'intermediate', 8, 0.82568359375)
(20, 3, 5, 16384, 1.0)
(21, 3, 5, 1210, 0.0738525390625, 'intermediate', 1, 0.01702880859375)
(21, 3, 5, 1937, 0.11822509765625, 'intermediate', 4, 0.0738525390625)
(21, 3, 5, 3234, 0.1973876953125, 'intermediate', 5, 0.11822509765625)
(21, 3, 5, 16384, 1.0, 'intermediate', 8, 0.1973876953125)
(21, 3, 5, 16384, 1.0)
(22, 3, 5, 2265, 0.13824462890625, 'intermediate', 1, 0.01104736328125)
(22, 3, 5, 5956, 0.363525390625, 'intermediate', 8, 0.13824462890625)
(22, 3, 5, 5956, 0.363525390625)
KVC(0.95): (21, 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, 16384, 1.0, 'intermediate', 1, 0.85528564453125)
(23, 3, 6, 16384, 1.0)
(24, 3, 6, 16384, 1.0)
(25, 3, 6, 16384, 1.0, 'intermediate', 8, 0.48651123046875)
(25, 3, 6, 16384, 1.0)
(26, 3, 6, 11847, 0.72308349609375, 'intermediate', 5, 0.1475830078125)
(26, 3, 6, 16384, 1.0, 'intermediate', 8, 0.72308349609375)
(26, 3, 6, 16384, 1.0)
(27, 3, 6, 6081, 0.37115478515625, 'intermediate', 18, 0.2716064453125)
(27, 3, 6, 6081, 0.37115478515625)
KVC(0.95): (26, 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, 16384, 1.0)
(26, 3, 7, 16384, 1.0)
(27, 3, 7, 16384, 1.0)
(28, 3, 7, 11736, 0.71630859375, 'intermediate', 2, 0.5716552734375)
(28, 3, 7, 16384, 1.0, 'intermediate', 3, 0.71630859375)
(28, 3, 7, 16384, 1.0)
(29, 3, 7, 16384, 1.0)
(30, 3, 7, 16384, 1.0)
(31, 3, 7, 16384, 1.0, 'intermediate', 20, 0.91534423828125)
(31, 3, 7, 16384, 1.0)
(32, 3, 7, 11044, 0.674072265625, 'intermediate', 8, 0.2435302734375)
(32, 3, 7, 11044, 0.674072265625)
KVC(0.95): (31, 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, 16384, 1.0)
(29, 3, 8, 16384, 1.0)
(30, 3, 8, 16384, 1.0)
(31, 3, 8, 16384, 1.0)
(32, 3, 8, 16384, 1.0)
(33, 3, 8, 13450, 0.8209228515625, 'intermediate', 1, 0.06201171875)
(33, 3, 8, 16384, 1.0, 'intermediate', 5, 0.8209228515625)
(33, 3, 8, 16384, 1.0)
(34, 3, 8, 14657, 0.89459228515625, 'intermediate', 8, 0.618408203125)
(34, 3, 8, 15494, 0.9456787109375, 'intermediate', 10, 0.89459228515625)
(34, 3, 8, 16384, 1.0, 'intermediate', 18, 0.9456787109375)
(34, 3, 8, 16384, 1.0)
(35, 3, 8, 16384, 1.0)
(36, 3, 8, 13083, 0.79852294921875, 'intermediate', 9, 0.3892822265625)

('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, 30, 0.9375, 'intermediate', 34, 0.875)
(6, 4, 1, 30, 0.9375)
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, 256, 1.0)
(10, 4, 2, 512, 1.0)
(11, 4, 2, 805, 0.7861328125, 'intermediate', 2, 0.3779296875)
(11, 4, 2, 1024, 1.0, 'intermediate', 4, 0.7861328125)
(11, 4, 2, 1024, 1.0)
(12, 4, 2, 311, 0.15185546875, 'intermediate', 2, 0.07666015625)
(12, 4, 2, 414, 0.2021484375, 'intermediate', 3, 0.15185546875)
(12, 4, 2, 760, 0.37109375, 'intermediate', 4, 0.2021484375)
(12, 4, 2, 789, 0.38525390625, 'intermediate', 14, 0.37109375)
(12, 4, 2, 1840, 0.8984375, 'intermediate', 21, 0.38525390625)
(12, 4, 2, 1840, 0.8984375)
KVC(0.95): (11, 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, 8192, 1.0, 'intermediate', 1, 0.2301025390625)
(14, 4, 3, 8192, 1.0)
(15, 4, 3, 16384, 1.0, 'intermediate', 1, 0.58917236328125)
(15, 4, 3, 16384, 1.0)
(16, 4, 3, 16384, 1.0)
(17, 4, 3, 3220, 0.196533203125, 'intermediate', 1, 6.103515625e-05)
(17, 4, 3, 7668, 0.468017578125, 'intermediate', 21, 0.196533203125)
(17, 4, 3, 7668, 0.468017578125)
KVC(0.95): (16, 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, 16384, 1.0)
(18, 4, 4, 16384, 1.0)
(19, 4, 4, 16384, 1.0)
(20, 4, 4, 16384, 1.0)
(21, 4, 4, 1363, 0.08319091796875, 'intermediate', 1, 0.04412841796875)
(21, 4, 4, 3733, 0.22784423828125, 'intermediate', 2, 0.08319091796875)
(21, 4, 4, 12831, 0.78314208984375, 'intermediate', 3, 0.22784423828125)
(21, 4, 4, 16384, 1.0, 'intermediate', 6, 0.78314208984375)
(21, 4, 4, 16384, 1.0)
(22, 4, 4, 16384, 1.0)
(23, 4, 4, 2781, 0.16973876953125, 'intermediate', 1, 0.09466552734375)
(23, 4, 4, 3236, 0.197509765625, 'intermediate', 6, 0.16973876953125)
(23, 4, 4, 4625, 0.28228759765625, 'intermediate', 10, 0.197509765625)
(23, 4, 4, 12134, 0.7406005859375, 'intermediate', 21, 0.28228759765625)
(23, 4, 4, 12150, 0.7415771484375, 'intermediate', 25, 0.7406005859375)
(23, 4, 4, 12150, 0.7415771484375)
KVC(0.95): (22, 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, 16384, 1.0)
(26, 4, 5, 16384, 1.0)
(27, 4, 5, 16384, 1.0)
(28, 4, 5, 16384, 1.0)
(29, 4, 5, 6345, 0.38726806640625, 'intermediate', 2, 0.24383544921875)
(29, 4, 5, 16384, 1.0, 'intermediate', 3, 0.38726806640625)
(29, 4, 5, 16384, 1.0)
(30, 4, 5, 2287, 0.13958740234375, 'intermediate', 1, 0.0128173828125)
(30, 4, 5, 16384, 1.0, 'intermediate', 5, 0.13958740234375)
(30, 4, 5, 16384, 1.0)
(31, 4, 5, 3959, 0.24163818359375, 'intermediate', 1, 0.0972900390625)
(31, 4, 5, 7768, 0.47412109375, 'intermediate', 19, 0.24163818359375)
(31, 4, 5, 7768, 0.47412109375)
KVC(0.95): (30, 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, 16384, 1.0)
(32, 4, 6, 16384, 1.0)
(33, 4, 6, 16384, 1.0)
(34, 4, 6, 16384, 1.0)
(35, 4, 6, 16384, 1.0, 'intermediate', 3, 0.46826171875)
(35, 4, 6, 16384, 1.0)
(36, 4, 6, 7823, 0.47747802734375, 'intermediate', 1, 0.008056640625)
(36, 4, 6, 16384, 1.0, 'intermediate', 5, 0.47747802734375)
(36, 4, 6, 16384, 1.0)
(37, 4, 6, 4907, 0.29949951171875, 'intermediate', 10, 0.29229736328125)
(37, 4, 6, 9723, 0.59344482421875, 'intermediate', 16, 0.29949951171875)
(37, 4, 6, 16384, 1.0, 'intermediate', 21, 0.59344482421875)
(37, 4, 6, 16384, 1.0)
(38, 4, 6, 1407, 0.08587646484375, 'intermediate', 1, 0.050048828125)
(38, 4, 6, 2409, 0.14703369140625, 'intermediate', 2, 0.08587646484375)
(38, 4, 6, 3170, 0.1934814453125, 'intermediate', 4, 0.14703369140625)
(38, 4, 6, 4114, 0.2510986328125, 'intermediate', 5, 0.1934814453125)
(38, 4, 6, 16384, 1.0, 'intermediate', 6, 0.2510986328125)
(38, 4, 6, 16384, 1.0)
(39, 4, 6, 4785, 0.29205322265625, 'intermediate', 20, 0.28448486328125)
(39, 4, 6, 12705, 0.77545166015625, 'intermediate', 22, 0.29205322265625)
(39, 4, 6, 12705, 0.77545166015625)
KVC(0.95): (38, 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, 16384, 1.0)
(40, 4, 7, 16384, 1.0)
(41, 4, 7, 16384, 1.0)
(42, 4, 7, 16384, 1.0, 'intermediate', 1, 0.4256591796875)
(42, 4, 7, 16384, 1.0)
(43, 4, 7, 16384, 1.0)
(44, 4, 7, 16384, 1.0)
(45, 4, 7, 8309, 0.50714111328125, 'intermediate', 1, 0.34344482421875)
(45, 4, 7, 14265, 0.87066650390625, 'intermediate', 2, 0.50714111328125)
(45, 4, 7, 16384, 1.0, 'intermediate', 5, 0.87066650390625)
(45, 4, 7, 16384, 1.0)
(46, 4, 7, 16384, 1.0, 'intermediate', 8, 0.91131591796875)
(46, 4, 7, 16384, 1.0)
(47, 4, 7, 1251, 0.07635498046875, 'intermediate', 1, 0.00128173828125)
(47, 4, 7, 1558, 0.0950927734375, 'intermediate', 3, 0.07635498046875)
(47, 4, 7, 2906, 0.1773681640625, 'intermediate', 4, 0.0950927734375)
(47, 4, 7, 4208, 0.2568359375, 'intermediate', 6, 0.1773681640625)
(47, 4, 7, 16384, 1.0, 'intermediate', 7, 0.2568359375)
(47, 4, 7, 16384, 1.0)
(48, 4, 7, 7103, 0.43353271484375, 'intermediate', 2, 0.19244384765625)
(48, 4, 7, 16298, 0.9947509765625, 'intermediate', 9, 0.43353271484375)
(48, 4, 7, 16298, 0.9947509765625)
(49, 4, 7, 2710, 0.1654052734375, 'intermediate', 5, 0.08709716796875)
(49, 4, 7, 5959, 0.36370849609375, 'intermediate', 8, 0.1654052734375)
(49, 4, 7, 10680, 0.65185546875, 'intermediate', 35, 0.36370849609375)
(49, 4, 7, 10680, 0.65185546875)
KVC(0.95): (48, 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, 16384, 1.0)
(48, 4, 8, 16384, 1.0)
(49, 4, 8, 16384, 1.0)
(50, 4, 8, 16384, 1.0)
(51, 4, 8, 16384, 1.0)
(52, 4, 8, 15987, 0.97576904296875, 'intermediate', 1, 0.44354248046875)
(52, 4, 8, 16384, 1.0, 'intermediate', 2, 0.97576904296875)
(52, 4, 8, 16384, 1.0)
(53, 4, 8, 16384, 1.0)
(54, 4, 8, 10091, 0.61590576171875, 'intermediate', 1, 0.40045166015625)
(54, 4, 8, 16384, 1.0, 'intermediate', 2, 0.61590576171875)
(54, 4, 8, 16384, 1.0)
(55, 4, 8, 16384, 1.0, 'intermediate', 2, 0.126220703125)
(55, 4, 8, 16384, 1.0)
(56, 4, 8, 16384, 1.0)
(57, 4, 8, 251, 0.01531982421875, 'intermediate', 1, 0.0087890625)
(57, 4, 8, 3769, 0.23004150390625, 'intermediate', 2, 0.01531982421875)
(57, 4, 8, 5561, 0.33941650390625, 'intermediate', 9, 0.23004150390625)
(57, 4, 8, 7939, 0.48455810546875, 'intermediate', 10, 0.33941650390625)
(57, 4, 8, 13107, 0.79998779296875, 'intermediate', 25, 0.48455810546875)
(57, 4, 8, 13107, 0.79998779296875)
KVC(0.95): (56, 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, 45, 0.703125, 'intermediate', 3, 0.65625)
(7, 5, 1, 51, 0.796875, 'intermediate', 5, 0.703125)
(7, 5, 1, 52, 0.8125, 'intermediate', 7, 0.796875)
(7, 5, 1, 54, 0.84375, 'intermediate', 16, 0.8125)
(7, 5, 1, 56, 0.875, 'intermediate', 33, 0.84375)
(7, 5, 1, 56, 0.875)
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, 2048, 1.0, 'intermediate', 1, 0.2646484375)
(12, 5, 2, 2048, 1.0)
(13, 5, 2, 2438, 0.59521484375, 'intermediate', 1, 0.127685546875)
(13, 5, 2, 4096, 1.0, 'intermediate', 7, 0.59521484375)
(13, 5, 2, 4096, 1.0)
(14, 5, 2, 1434, 0.175048828125, 'intermediate', 4, 0.143310546875)
(14, 5, 2, 2804, 0.34228515625, 'intermediate', 7, 0.175048828125)
(14, 5, 2, 4290, 0.523681640625, 'intermediate', 30, 0.34228515625)
(14, 5, 2, 4290, 0.523681640625)
KVC(0.95): (13, 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, 16384, 1.0)
(16, 5, 3, 16384, 1.0)
(17, 5, 3, 16384, 1.0)
(18, 5, 3, 13111, 0.80023193359375, 'intermediate', 1, 0.4163818359375)
(18, 5, 3, 16384, 1.0, 'intermediate', 2, 0.80023193359375)
(18, 5, 3, 16384, 1.0)
(19, 5, 3, 4773, 0.29132080078125, 'intermediate', 1, 0.1036376953125)
(19, 5, 3, 9041, 0.55181884765625, 'intermediate', 2, 0.29132080078125)
(19, 5, 3, 16102, 0.9827880859375, 'intermediate', 10, 0.55181884765625)
(19, 5, 3, 16384, 1.0, 'intermediate', 12, 0.9827880859375)
(19, 5, 3, 16384, 1.0)
(20, 5, 3, 7932, 0.484130859375, 'intermediate', 1, 0.115478515625)
(20, 5, 3, 10330, 0.6304931640625, 'intermediate', 18, 0.484130859375)
(20, 5, 3, 16384, 1.0, 'intermediate', 26, 0.6304931640625)
(20, 5, 3, 16384, 1.0)
(21, 5, 3, 500, 0.030517578125, 'intermediate', 1, 0.00653076171875)
(21, 5, 3, 1776, 0.1083984375, 'intermediate', 2, 0.030517578125)
(21, 5, 3, 3066, 0.1871337890625, 'intermediate', 4, 0.1083984375)
(21, 5, 3, 12150, 0.7415771484375, 'intermediate', 13, 0.1871337890625)
(21, 5, 3, 12150, 0.7415771484375)
KVC(0.95): (20, 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, 16384, 1.0)
(26, 5, 4, 16384, 1.0)
(27, 5, 4, 16384, 1.0, 'intermediate', 1, 0.18017578125)
(27, 5, 4, 16384, 1.0)
(28, 5, 4, 16384, 1.0)
(29, 5, 4, 10748, 0.656005859375, 'intermediate', 6, 0.4803466796875)
(29, 5, 4, 15276, 0.932373046875, 'intermediate', 12, 0.656005859375)
(29, 5, 4, 16384, 1.0, 'intermediate', 17, 0.932373046875)
(29, 5, 4, 16384, 1.0)
(30, 5, 4, 13364, 0.815673828125, 'intermediate', 4, 0.47943115234375)
(30, 5, 4, 16384, 1.0, 'intermediate', 21, 0.815673828125)
(30, 5, 4, 16384, 1.0)
(31, 5, 4, 679, 0.04144287109375, 'intermediate', 1, 0.0238037109375)
(31, 5, 4, 696, 0.04248046875, 'intermediate', 3, 0.04144287109375)
(31, 5, 4, 779, 0.04754638671875, 'intermediate', 4, 0.04248046875)
(31, 5, 4, 1066, 0.0650634765625, 'intermediate', 6, 0.04754638671875)
(31, 5, 4, 1822, 0.1112060546875, 'intermediate', 8, 0.0650634765625)
(31, 5, 4, 6650, 0.4058837890625, 'intermediate', 13, 0.1112060546875)
(31, 5, 4, 16384, 1.0, 'intermediate', 17, 0.4058837890625)
(31, 5, 4, 16384, 1.0)
(32, 5, 4, 3429, 0.20928955078125)
KVC(0.95): (31, 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, 16384, 1.0)
(31, 5, 5, 16384, 1.0)
(32, 5, 5, 16384, 1.0)
(33, 5, 5, 16384, 1.0)
(34, 5, 5, 16384, 1.0)
(35, 5, 5, 16384, 1.0)
(36, 5, 5, 16384, 1.0)
(37, 5, 5, 16384, 1.0)
(38, 5, 5, 9395, 0.57342529296875, 'intermediate', 1, 0.39111328125)
(38, 5, 5, 9817, 0.59918212890625, 'intermediate', 4, 0.57342529296875)
(38, 5, 5, 16384, 1.0, 'intermediate', 7, 0.59918212890625)
(38, 5, 5, 16384, 1.0)
(39, 5, 5, 5205, 0.31768798828125, 'intermediate', 3, 0.22430419921875)
(39, 5, 5, 6804, 0.415283203125, 'intermediate', 4, 0.31768798828125)
(39, 5, 5, 7014, 0.4281005859375, 'intermediate', 12, 0.415283203125)
(39, 5, 5, 16384, 1.0, 'intermediate', 17, 0.4281005859375)
(39, 5, 5, 16384, 1.0)
(40, 5, 5, 2727, 0.16644287109375, 'intermediate', 3, 0.06683349609375)
(40, 5, 5, 3709, 0.22637939453125, 'intermediate', 9, 0.16644287109375)
(40, 5, 5, 6036, 0.368408203125, 'intermediate', 30, 0.22637939453125)
(40, 5, 5, 6036, 0.368408203125)
KVC(0.95): (39, 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, 16384, 1.0)
(42, 5, 6, 16384, 1.0)
(43, 5, 6, 16384, 1.0)
(44, 5, 6, 16384, 1.0)
(45, 5, 6, 6500, 0.396728515625, 'intermediate', 1, 0.0697021484375)
(45, 5, 6, 16384, 1.0, 'intermediate', 2, 0.396728515625)
(45, 5, 6, 16384, 1.0)
(46, 5, 6, 16384, 1.0)
(47, 5, 6, 16384, 1.0)
(48, 5, 6, 11013, 0.67218017578125, 'intermediate', 2, 0.357666015625)
(48, 5, 6, 16384, 1.0, 'intermediate', 3, 0.67218017578125)
(48, 5, 6, 16384, 1.0)
(49, 5, 6, 9806, 0.5985107421875, 'intermediate', 1, 0.1275634765625)
(49, 5, 6, 14835, 0.90545654296875, 'intermediate', 3, 0.5985107421875)
(49, 5, 6, 16384, 1.0, 'intermediate', 4, 0.90545654296875)
(49, 5, 6, 16384, 1.0)
(50, 5, 6, 806, 0.0491943359375, 'intermediate', 1, 0.02032470703125)
(50, 5, 6, 15131, 0.92352294921875, 'intermediate', 2, 0.0491943359375)
(50, 5, 6, 16384, 1.0, 'intermediate', 7, 0.92352294921875)
(50, 5, 6, 16384, 1.0)
(51, 5, 6, 10106, 0.6168212890625, 'intermediate', 3, 0.10455322265625)
(51, 5, 6, 16384, 1.0, 'intermediate', 4, 0.6168212890625)
(51, 5, 6, 16384, 1.0)
(52, 5, 6, 5728, 0.349609375, 'intermediate', 3, 0.1112060546875)
(52, 5, 6, 10977, 0.66998291015625, 'intermediate', 37, 0.349609375)
(52, 5, 6, 10977, 0.66998291015625)
KVC(0.95): (51, 5, 6)

(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, 16384, 1.0)
(52, 5, 7, 16384, 1.0)
(53, 5, 7, 16384, 1.0)
(54, 5, 7, 16384, 1.0)
(55, 5, 7, 16384, 1.0, 'intermediate', 1, 0.702392578125)
(55, 5, 7, 16384, 1.0)
(56, 5, 7, 16384, 1.0)
(57, 5, 7, 3961, 0.24176025390625, 'intermediate', 1, 0.08099365234375)
(57, 5, 7, 16384, 1.0, 'intermediate', 2, 0.24176025390625)
(57, 5, 7, 16384, 1.0)
(58, 5, 7, 7832, 0.47802734375, 'intermediate', 1, 0.28521728515625)
(58, 5, 7, 16384, 1.0, 'intermediate', 2, 0.47802734375)
(58, 5, 7, 16384, 1.0)
(59, 5, 7, 10295, 0.62835693359375, 'intermediate', 1, 0.4071044921875)
(59, 5, 7, 16384, 1.0, 'intermediate', 2, 0.62835693359375)
(59, 5, 7, 16384, 1.0)
(60, 5, 7, 16384, 1.0)
(61, 5, 7, 6353, 0.38775634765625, 'intermediate', 1, 0.1209716796875)
(61, 5, 7, 7020, 0.428466796875, 'intermediate', 2, 0.38775634765625)
(61, 5, 7, 16384, 1.0, 'intermediate', 3, 0.428466796875)
(61, 5, 7, 16384, 1.0)
(62, 5, 7, 16384, 1.0, 'intermediate', 3, 0.42315673828125)
(62, 5, 7, 16384, 1.0)
(63, 5, 7, 3966, 0.2420654296875, 'intermediate', 1, 0.05224609375)
(63, 5, 7, 7423, 0.45306396484375, 'intermediate', 2, 0.2420654296875)
(63, 5, 7, 12233, 0.74664306640625, 'intermediate', 20, 0.45306396484375)
(63, 5, 7, 16384, 1.0, 'intermediate', 31, 0.74664306640625)
(63, 5, 7, 16384, 1.0)
(64, 5, 7, 1315, 0.08026123046875, 'intermediate', 1, 0.017822265625)
(64, 5, 7, 1379, 0.08416748046875, 'intermediate', 3, 0.08026123046875)
(64, 5, 7, 10763, 0.65692138671875, 'intermediate', 4, 0.08416748046875)
(64, 5, 7, 10763, 0.65692138671875)
KVC(0.95): (63, 5, 7)

('n', 'k', 'h', 'successful classifications', 'rate')
(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)
(61, 5, 8, 16384, 1.0)
(62, 5, 8, 16384, 1.0)
(63, 5, 8, 16384, 1.0)
(64, 5, 8, 16384, 1.0)
(65, 5, 8, 16384, 1.0)
(66, 5, 8, 16384, 1.0)
(67, 5, 8, 16384, 1.0)
(68, 5, 8, 16384, 1.0, 'intermediate', 1, 0.07568359375)
(68, 5, 8, 16384, 1.0)
(69, 5, 8, 16384, 1.0, 'intermediate', 1, 0.98614501953125)
(69, 5, 8, 16384, 1.0)
(70, 5, 8, 16384, 1.0, 'intermediate', 1, 0.70135498046875)
(70, 5, 8, 16384, 1.0)
(71, 5, 8, 9564, 0.583740234375, 'intermediate', 1, 0.49871826171875)
(71, 5, 8, 16384, 1.0, 'intermediate', 2, 0.583740234375)
(71, 5, 8, 16384, 1.0)
(72, 5, 8, 16384, 1.0, 'intermediate', 2, 0.51983642578125)
(72, 5, 8, 16384, 1.0)
(73, 5, 8, 16384, 1.0, 'intermediate', 3, 0.4658203125)
(73, 5, 8, 16384, 1.0)
(74, 5, 8, 13733, 0.83819580078125, 'intermediate', 4, 0.3897705078125)
(74, 5, 8, 16384, 1.0, 'intermediate', 12, 0.83819580078125)
(74, 5, 8, 16384, 1.0)
(75, 5, 8, 3937, 0.24029541015625, 'intermediate', 1, 0.101318359375)
(75, 5, 8, 9902, 0.6043701171875, 'intermediate', 3, 0.24029541015625)
(75, 5, 8, 16384, 1.0, 'intermediate', 20, 0.6043701171875)
(75, 5, 8, 16384, 1.0)
(76, 5, 8, 1267, 0.07733154296875, 'intermediate', 1, 0.003662109375)
(76, 5, 8, 2460, 0.150146484375, 'intermediate', 2, 0.07733154296875)
(76, 5, 8, 11882, 0.7252197265625, 'intermediate', 3, 0.150146484375)
(76, 5, 8, 13403, 0.81805419921875, 'intermediate', 29, 0.7252197265625)
(76, 5, 8, 16384, 1.0, 'intermediate', 31, 0.81805419921875)
(76, 5, 8, 16384, 1.0)
(77, 5, 8, 395, 0.02410888671875, 'intermediate', 1, 0.01190185546875)
(77, 5, 8, 1708, 0.104248046875, 'intermediate', 2, 0.02410888671875)
(77, 5, 8, 4062, 0.2479248046875, 'intermediate', 3, 0.104248046875)
(77, 5, 8, 4558, 0.2781982421875, 'intermediate', 7, 0.2479248046875)
(77, 5, 8, 4683, 0.28582763671875, 'intermediate', 12, 0.2781982421875)


N = 80
K = [5] #,3,4,5] #,2,3,4,5] #,4] #,3] #,4,5,6,7,8] #,9,10]
H = [8] #,32,128,512] 1,2,3,4,5,6,7,
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
            if n < h*k:
              continue
            data_results = []
            l_len = min(n-1,max_l-1)
            for r_data in range(40):
                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 = 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(40): #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 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)
                if true_results == 2**l_len:
                    break
            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"