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2004-05-02, 14:58
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#1 |
Oct 2003
Australia, Brisbane
2·5·47 Posts |
Data On Error Codes
First I found out the frequency of each error code in lucas_v.txt. Then I did the same for bad.txt. After doing this, I could then work out the percentage of good results compared to the total amount.
ie %good=[(#of times in lucas_v)/(#of times in lucas + #of times in bad)]*100 The error codes are as followed, ranked in order of % good. Any error code that appeared less than 10 times in total was left out as I felt that there was not enough information to get a decent percentage. Code:
Error Code #Lucas_v #bad % good 00240000 11 0 100.00% 00130000 35 0 100.00% 00190000 17 0 100.00% 80040000 20 0 100.00% 001A0000 17 0 100.00% 00220000 17 0 100.00% 001E0000 16 0 100.00% 00FF0000 25 0 100.00% 0E000E00 13 0 100.00% 01000001 186 1 99.47% 00090000 109 1 99.09% 03000300 167 2 98.82% 01000100 495 6 98.80% 00000000 356190 5831 98.39% 000E0000 54 1 98.18% 02000200 267 5 98.16% 00100000 52 1 98.11% 000C0000 50 1 98.04% 00030000 570 14 97.60% 04000400 101 3 97.12% 000D0000 67 2 97.10% 00050000 293 9 97.02% 000A0000 95 3 96.94% 00080000 126 4 96.92% 00060000 189 6 96.92% 00150000 31 1 96.88% 00010000 2600 98 96.37% 00020000 950 37 96.25% 80000000 8772 372 95.93% 00070000 165 7 95.93% 02000002 47 2 95.92% 00160000 23 1 95.83% 08000800 22 1 95.65% 00040000 355 18 95.17% 000B0000 78 4 95.12% 00060001 19 1 95.00% 00180000 18 1 94.74% 05000500 69 4 94.52% 000F0000 51 3 94.44% 00110000 31 2 93.94% 0C000C00 15 1 93.75% 00120000 30 2 93.75% 07000700 29 2 93.55% 00200000 13 1 92.86% 001B0000 12 1 92.31% 01000200 24 2 92.31% 000B0001 11 1 91.67% 00210000 11 1 91.67% 000D0001 11 1 91.67% 000A0001 11 1 91.67% 001F0000 10 1 90.91% 09000900 20 2 90.91% 00080001 19 2 90.48% 00090001 18 2 90.00% 06000600 35 4 89.74% 80010000 115 15 88.46% 80020000 38 5 88.37% 00040002 15 2 88.24% 00140000 21 3 87.50% 00020001 77 11 87.50% 81000200 14 2 87.50% 00170000 21 3 87.50% 001D0000 14 2 87.50% 001C0000 20 3 86.96% 00040001 31 5 86.11% 00250000 12 2 85.71% 80050000 11 2 84.62% 00260000 9 2 81.82% 00050001 26 6 81.25% 00070001 26 6 81.25% 80030000 20 5 80.00% 00030001 36 10 78.26% 00010001 146 41 78.07% 000C0001 10 3 76.92% 01000000 123 40 75.46% 00000001 2090 684 75.34% 0D000D00 9 3 75.00% 01000002 11 4 73.33% 00020002 16 6 72.73% 00050002 13 6 68.42% 00030002 10 6 62.50% 02000000 16 10 61.54% 00030003 8 5 61.54% 00020003 11 7 61.11% 00000100 509 336 60.24% 00010004 17 12 58.62% 00030100 7 5 58.33% 00010100 14 10 58.33% 00010005 7 5 58.33% 00000500 12 9 57.14% 80000100 9 7 56.25% 00010003 19 15 55.88% 00010002 42 35 54.55% 80000001 31 26 54.39% 00000002 360 306 54.05% 00000003 157 135 53.77% 03000000 8 7 53.33% 00000010 7 7 50.00% 00000009 16 17 48.48% 00000007 28 35 44.44% 00000011 5 7 41.67% 0000000A 17 25 40.48% 0000000B 12 18 40.00% 00010006 6 9 40.00% 00000101 83 131 38.79% 00000004 75 119 38.66% 00000401 5 8 38.46% 00000006 42 68 38.18% 0000000C 6 10 37.50% 00000005 48 81 37.21% 00000200 59 103 36.42% 00000012 4 7 36.36% 00000008 22 41 34.92% 00000201 23 44 34.33% 0000000F 5 10 33.33% 00000108 4 8 33.33% 00000400 13 28 31.71% 00000103 20 44 31.25% 00000102 35 80 30.43% 80000002 6 14 30.00% 00000300 19 47 28.79% 00000107 4 10 28.57% 00000203 5 13 27.78% 00000202 7 19 26.92% 0000000E 4 11 26.67% 0000010B 3 9 25.00% 00000402 3 9 25.00% 0000000D 4 13 23.53% 00000104 8 26 23.53% 00000302 3 10 23.08% 00000600 3 11 21.43% 00000204 4 17 19.05% 00000700 2 9 18.18% 00000013 2 9 18.18% 00000301 4 20 16.67% 0000010A 2 10 16.67% 00000206 2 11 15.38% 00000106 1 18 5.26% 1. It occured in total less than 10 times (ie #in lucas+#in bad<10) 2. It never appeared in lucas_v, so it has never given a correct result One thing to consider when looking at the 00000000 error code. Version WUx had a bug that didn't count errors properly, so some of the 'bad' results with 00000000 error code could have had errors. Unfortunately, none of the results from hrf3.txt can be used as they have not been confirmed good or bad. Last fiddled with by dave_0273 on 2004-05-02 at 15:09 |
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2004-05-02, 15:08
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#2 |
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Oct 2003
Australia, Brisbane
2·5·47 Posts |
I then sorted each of the error codes into 4 main catagorys..
1. Error codes of the form 00XX0000 which are relatively harmless 2. Error codes of the form XY00XY00 which are also relatively harmless 3. Error codes of the form 8XXXXXXX. Error codes that start with an 8 mean that at least some of the test was run on a program that did not count errors. Therefore, not much can be gathered from this error code as we don't know how many (and of what type) error occured (if any). 4. The rest Code:
Error Code #Lucas_v #bad % good 00000000 356190 5831 98.39% Of the form 00XX0000 Error Code #Lucas_v #bad % good 00240000 11 0 100.00% 00130000 35 0 100.00% 00190000 17 0 100.00% 001A0000 17 0 100.00% 00220000 17 0 100.00% 001E0000 16 0 100.00% 00FF0000 25 0 100.00% 00150000 31 1 96.88% 00010000 2600 98 96.37% 000D0000 67 2 97.10% 00050000 293 9 97.02% 000A0000 95 3 96.94% 00080000 126 4 96.92% 00060000 189 6 96.92% 00160000 23 1 95.83% 00040000 355 18 95.17% 000B0000 78 4 95.12% 00180000 18 1 94.74% 000F0000 51 3 94.44% 00110000 31 2 93.94% 00120000 30 2 93.75% 001B0000 12 1 92.31% 00210000 11 1 91.67% 001F0000 10 1 90.91% 00140000 21 3 87.50% 00170000 21 3 87.50% 001D0000 14 2 87.50% 001C0000 20 3 86.96% 00250000 12 2 85.71% 00260000 9 2 81.82% Of the form XY00XY00 Error Code #Lucas_v #bad % good 0E000E00 13 0 100.00% 03000300 167 2 98.82% 01000100 495 6 98.80% 02000200 267 5 98.16% 04000400 101 3 97.12% 08000800 22 1 95.65% 05000500 69 4 94.52% 0C000C00 15 1 93.75% 07000700 29 2 93.55% 09000900 20 2 90.91% 06000600 35 4 89.74% 0D000D00 9 3 75.00% Of the form 8XXXXXXX Error Code #Lucas_v #bad % good 80040000 20 0 100.00% 80000000 8772 372 95.93% 80010000 115 15 88.46% 80020000 38 5 88.37% 81000200 14 2 87.50% 80050000 11 2 84.62% 80030000 20 5 80.00% 80000100 9 7 56.25% 80000001 31 26 54.39% 80000002 6 14 30.00% The Rest Error Code #Lucas_v #bad % good 01000001 186 1 99.47% 00090000 109 1 99.09% 000E0000 54 1 98.18% 00100000 52 1 98.11% 000C0000 50 1 98.04% 00030000 570 14 97.60% 00020000 950 37 96.25% 00070000 165 7 95.93% 02000002 47 2 95.92% 00060001 19 1 95.00% 00200000 13 1 92.86% 01000200 24 2 92.31% 000B0001 11 1 91.67% 000D0001 11 1 91.67% 000A0001 11 1 91.67% 00080001 19 2 90.48% 00090001 18 2 90.00% 00040002 15 2 88.24% 00020001 77 11 87.50% 00040001 31 5 86.11% 00050001 26 6 81.25% 00070001 26 6 81.25% 00030001 36 10 78.26% 00010001 146 41 78.07% 000C0001 10 3 76.92% 01000000 123 40 75.46% 00000001 2090 684 75.34% 01000002 11 4 73.33% 00020002 16 6 72.73% 00050002 13 6 68.42% 00030002 10 6 62.50% 02000000 16 10 61.54% 00030003 8 5 61.54% 00020003 11 7 61.11% 00000100 509 336 60.24% 00010004 17 12 58.62% 00030100 7 5 58.33% 00010100 14 10 58.33% 00010005 7 5 58.33% 00000500 12 9 57.14% 00010003 19 15 55.88% 00010002 42 35 54.55% 00000002 360 306 54.05% 00000003 157 135 53.77% 03000000 8 7 53.33% 00000010 7 7 50.00% 00000009 16 17 48.48% 00000007 28 35 44.44% 00000011 5 7 41.67% 0000000A 17 25 40.48% 0000000B 12 18 40.00% 00010006 6 9 40.00% 00000101 83 131 38.79% 00000004 75 119 38.66% 00000401 5 8 38.46% 00000006 42 68 38.18% 0000000C 6 10 37.50% 00000005 48 81 37.21% 00000200 59 103 36.42% 00000012 4 7 36.36% 00000008 22 41 34.92% 00000201 23 44 34.33% 0000000F 5 10 33.33% 00000108 4 8 33.33% 00000400 13 28 31.71% 00000103 20 44 31.25% 00000102 35 80 30.43% 00000300 19 47 28.79% 00000107 4 10 28.57% 00000203 5 13 27.78% 00000202 7 19 26.92% 0000000E 4 11 26.67% 0000010B 3 9 25.00% 00000402 3 9 25.00% 0000000D 4 13 23.53% 00000104 8 26 23.53% 00000302 3 10 23.08% 00000600 3 11 21.43% 00000204 4 17 19.05% 00000700 2 9 18.18% 00000013 2 9 18.18% 00000301 4 20 16.67% 0000010A 2 10 16.67% 00000206 2 11 15.38% 00000106 1 18 5.26% Last fiddled with by dave_0273 on 2004-05-02 at 15:11 |
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