mirror of
https://github.com/Doctorado-ML/Stree_datasets.git
synced 2025-08-19 09:26:05 +00:00
Commit Inicial
This commit is contained in:
14
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding.cost
Executable file
14
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding.cost
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@@ -0,0 +1,14 @@
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% Rows Columns
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11 11
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% Matrix elements
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0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
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1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
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1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
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1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
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1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0
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1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0
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1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0
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1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0
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1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0
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1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0
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1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0
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10
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding.txt
Executable file
10
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding.txt
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@@ -0,0 +1,10 @@
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n_entradas= 11
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n_clases= 11
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n_arquivos= 2
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fich1= conn-bench-vowel-deterding_train_R.dat
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n_patrons1= 528
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fich2= conn-bench-vowel-deterding_test_R.dat
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n_patrons2= 462
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n_patrons_entrena= 264
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n_patrons_valida= 264
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n_conxuntos= 1
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476
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding_test.arff
Executable file
476
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding_test.arff
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@@ -0,0 +1,476 @@
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@relation conn-bench-vowel-deterding
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@attribute 'f1' real
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@attribute 'f2' real
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@attribute 'f3' real
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@attribute 'f4' real
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@attribute 'f5' real
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@attribute 'f6' real
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@attribute 'f7' real
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@attribute 'f8' real
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@attribute 'f9' real
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@attribute 'f10' real
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@attribute 'f11' real
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@attribute 'clase' {0,1,2,3,4,5,6,7,8,9,10}
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463
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding_test_R.dat
Executable file
463
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding_test_R.dat
Executable file
@@ -0,0 +1,463 @@
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|
||||
542
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding_train.arff
Executable file
542
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding_train.arff
Executable file
@@ -0,0 +1,542 @@
|
||||
@relation conn-bench-vowel-deterding
|
||||
@attribute 'f1' real
|
||||
@attribute 'f2' real
|
||||
@attribute 'f3' real
|
||||
@attribute 'f4' real
|
||||
@attribute 'f5' real
|
||||
@attribute 'f6' real
|
||||
@attribute 'f7' real
|
||||
@attribute 'f8' real
|
||||
@attribute 'f9' real
|
||||
@attribute 'f10' real
|
||||
@attribute 'f11' real
|
||||
@attribute 'clase' {0,1,2,3,4,5,6,7,8,9,10}
|
||||
@data
|
||||
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529
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding_train_R.dat
Executable file
529
data/tanveer/conn-bench-vowel-deterding/conn-bench-vowel-deterding_train_R.dat
Executable file
@@ -0,0 +1,529 @@
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||||
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|
||||
452 0.999053 -1.58701 -1.14503 1.80344 1.22052 2.78013 0.672333 -0.288943 -1.36908 -0.0627651 0.673847 0
|
||||
453 0.999053 0.0737971 -1.40602 -0.00539291 0.460144 2.01698 -0.135627 -0.654094 -0.813315 -1.13768 1.41985 1
|
||||
454 0.999053 0.746055 -1.25442 -0.481543 0.800687 0.870181 -0.630579 -0.253471 -1.96345 -0.106343 1.45555 2
|
||||
455 0.999053 1.13333 0.265 -0.0984647 0.0689105 -0.102103 -1.28126 -0.122017 -0.972823 -0.881056 0.909428 3
|
||||
456 0.999053 0.531016 0.864499 0.0890278 -1.08529 -1.73227 -0.77706 0.539427 0.783448 -0.430754 -0.827088 4
|
||||
457 0.999053 0.192799 0.228824 -0.629918 -0.438004 0.587637 -0.181884 -0.307722 -1.85768 -0.671238 1.33597 5
|
||||
458 0.999053 0.0717093 0.68017 0.178053 -1.10089 -0.959431 -0.462511 0.892058 0.721324 -1.10217 -1.11086 6
|
||||
459 0.999053 -1.29055 1.60784 -0.670384 -1.89636 0.595947 -0.271314 2.05637 0.0883275 -0.337143 -0.957372 7
|
||||
460 0.999053 -1.07865 0.401093 0.186146 -1.19188 1.87986 0.177381 -0.720864 -0.484224 -1.0134 0.418635 8
|
||||
461 0.999053 -2.13401 0.696536 1.71037 -1.11519 1.15827 -0.553484 0.228527 0.793523 -1.8091 -0.391621 9
|
||||
462 0.999053 0.432891 0.0367427 -0.364192 -0.608275 0.526696 -0.282108 0.216008 -0.616868 -1.88334 0.652431 10
|
||||
463 0.999053 -1.97429 0.431241 2.46708 1.76772 0.180441 -1.6467 -1.20912 -0.494298 0.331047 1.33419 0
|
||||
464 0.999053 -1.05881 -0.0769553 1.59706 0.989155 1.54192 -1.68987 -2.38595 -1.45639 -0.613134 1.92671 1
|
||||
465 0.999053 -0.612031 -0.781539 0.547643 1.14513 0.828631 -1.71917 -1.12149 -1.37243 -0.19027 2.06056 2
|
||||
466 0.999053 -0.341667 -0.455088 -0.214467 -0.367816 -0.0563976 -0.699965 0.455964 0.214255 -0.524365 1.36096 3
|
||||
467 0.999053 0.369215 0.509623 -1.07639 -0.921522 -0.506529 -0.144878 2.47159 -1.63772 -0.647028 0.247303 4
|
||||
468 0.999053 0.0351736 0.213319 -1.28142 -0.352218 -0.384648 -0.0816598 0.77521 -0.999688 -0.509839 1.65722 5
|
||||
469 0.999053 -0.607856 1.10482 -0.4141 -1.26986 -0.383263 -0.579696 1.50968 0.810313 -2.17063 0.379371 6
|
||||
470 0.999053 -1.25924 2.50451 -0.464008 -2.41367 0.259387 0.0185642 0.364155 1.20153 -1.39269 -0.348788 7
|
||||
471 0.999053 -1.3584 2.05488 0.0377708 -2.2382 1.0073 0.0231899 -0.265991 -0.173602 -1.58153 0.129513 8
|
||||
472 0.999053 -1.81145 2.37272 -0.156466 -1.37904 0.312018 -1.36144 1.72043 -0.966107 -1.02954 0.789853 9
|
||||
473 0.999053 -1.00035 0.486367 0.379034 -1.0333 0.681819 -0.408544 -1.0109 -1.12729 -0.237076 1.69113 10
|
||||
474 0.999053 -2.04319 0.502733 2.51024 1.66244 0.155511 -1.41078 -1.59305 -0.329753 0.529568 0.971892 0
|
||||
475 0.999053 -1.28011 0.345967 1.37315 1.13343 0.944973 -2.19099 -2.0521 -1.47486 -0.0143455 2.26402 1
|
||||
476 0.999053 -0.829158 -0.566202 0.75267 0.918966 0.830016 -1.93503 -1.15487 -1.2549 0.000180351 2.11053 2
|
||||
477 0.999053 -0.508687 -0.442167 -0.169955 -0.360017 0.12504 -0.658333 0.284865 0.227687 -0.503383 1.25209 3
|
||||
478 0.999053 0.172966 0.454497 -0.98467 -0.833137 -0.737828 -0.0754922 2.64687 -1.55041 -0.480787 -0.0311106 4
|
||||
479 0.999053 -0.261288 0.214181 -0.944204 -0.378214 -0.538385 -0.268231 0.9943 -0.482545 -0.703517 1.51444 5
|
||||
480 0.999053 -0.751911 1.23746 -0.392518 -1.57921 -0.21983 -0.393125 1.15079 0.944636 -2.16417 0.656 6
|
||||
481 0.999053 -1.36467 2.44077 -0.837644 -2.51375 0.728909 0.715507 0.111679 0.771695 -1.75422 -0.147116 7
|
||||
482 0.999053 -1.36154 2.03335 -0.486938 -1.82747 1.43389 -0.0708664 0.0469953 -0.462396 -2.07702 0.109881 8
|
||||
483 0.999053 -1.85842 2.49934 0.00539802 -1.92105 0.374344 -1.28589 1.20296 -0.24748 -0.831022 0.623875 9
|
||||
484 0.999053 -1.05046 0.485506 0.202333 -0.851334 0.708134 -0.410086 -0.846059 -1.25154 -0.341985 1.91779 10
|
||||
485 0.999053 -2.0505 0.393341 2.44415 1.83401 -0.279386 -1.44779 -1.44908 -0.448964 0.720018 0.829116 0
|
||||
486 0.999053 -1.2822 0.110819 1.28278 1.55066 0.872952 -2.16169 -1.43865 -1.85432 -0.291951 2.64237 1
|
||||
487 0.999053 -0.930414 -0.57137 0.816067 0.794188 1.07239 -1.96125 -1.25294 -1.01144 -0.0514672 2.25152 2
|
||||
488 0.999053 -0.484678 -0.465424 -0.36554 -0.513391 0.449135 -0.365371 -0.163749 0.231046 -0.525979 1.5894 3
|
||||
489 0.999053 -0.279034 0.451913 -0.832248 -0.840935 -0.56193 -0.342242 2.891 -1.55209 -0.172516 0.1777 4
|
||||
490 0.999053 -0.624558 0.202122 -0.683873 -0.287229 -0.478829 -0.269773 0.756431 -0.45568 -0.432368 1.46804 5
|
||||
491 0.999053 -0.843773 1.14616 -0.0782317 -1.75728 -0.122879 -0.232767 0.706353 0.875795 -1.67998 0.515009 6
|
||||
492 0.999053 -1.38868 2.38133 -1.34617 -2.14721 1.15273 0.618366 0.247306 0.301565 -1.32167 0.0206458 7
|
||||
493 0.999053 -1.36571 2.00579 -0.646105 -1.56361 1.36879 -0.215806 0.430925 -0.527879 -1.72356 -0.191734 8
|
||||
494 0.999053 -1.92523 2.79134 -0.566522 -2.26159 0.774615 -0.929709 1.09654 -0.442248 -0.924634 1.41271 9
|
||||
495 0.999053 -1.0275 0.287395 -0.21177 -0.538087 1.10702 -0.356119 -0.629055 -1.34053 -0.385562 1.46626 10
|
||||
496 0.999053 -2.04423 0.294286 2.33489 1.9211 -0.477444 -1.69295 -1.19869 -0.608473 0.908854 0.631014 0
|
||||
497 0.999053 -1.19974 -0.281095 1.19915 1.68194 1.23167 -1.85331 -1.35727 -1.7435 -0.650256 2.28008 1
|
||||
498 0.999053 -1.02541 -0.522273 0.593504 0.89687 1.07932 -1.63282 -0.871097 -1.27673 -0.122483 1.73218 2
|
||||
499 0.999053 -0.432484 -0.471453 -0.68792 -0.436704 0.432515 -0.206554 0.0657745 0.0530677 -0.658326 1.79107 3
|
||||
500 0.999053 -0.690322 0.544077 -0.523358 -1.12819 -0.106258 -0.723093 2.409 -0.994651 -0.0111175 0.359739 4
|
||||
501 0.999053 -0.681971 -0.0261357 -0.919925 -0.0974613 -0.113184 0.123414 0.585332 -0.994651 -0.330687 1.66436 5
|
||||
502 0.999053 -0.816632 1.0807 -0.263027 -1.96395 0.296783 0.28223 0.483089 0.647447 -1.95436 0.450759 6
|
||||
503 0.999053 -1.36154 2.34774 -1.94102 -1.72089 1.53499 0.544355 0.462224 -0.126589 -1.23936 0.0438469 7
|
||||
504 0.999053 -1.47532 2.05058 -0.411402 -1.78588 1.25383 -0.134085 0.207662 -0.396914 -1.59444 -0.0614506 8
|
||||
505 0.999053 -1.9649 2.67936 -0.310237 -1.82227 0.41451 -0.894245 0.491436 -0.831784 0.145439 0.384725 9
|
||||
506 0.999053 -0.989916 0.103928 -0.391169 -0.510791 1.45051 -0.394667 -0.562284 -0.907341 -0.422684 0.964754 10
|
||||
507 0.999053 -2.06302 0.271891 2.24452 1.78462 -0.229525 -1.62048 -1.79336 -0.68235 1.17678 0.495377 0
|
||||
508 0.999053 -1.29055 -0.281095 1.34752 1.26211 1.47128 -1.85177 -1.6786 -1.34221 -0.690606 2.18371 1
|
||||
509 0.999053 -1.19974 -0.3991 0.486944 0.987855 0.713674 -1.09932 -0.633228 -1.47821 -0.0417833 1.38416 2
|
||||
510 0.999053 -0.475283 -0.537777 -0.706804 -0.16375 -0.017617 -0.0893693 0.528994 -0.074539 -0.722885 1.8339 3
|
||||
511 0.999053 -0.713288 0.46914 -0.81876 -1.11779 0.312018 -0.269773 1.86857 -1.35732 -0.112799 0.614952 4
|
||||
512 0.999053 -0.830202 -0.00977011 -1.13574 0.00782083 0.303708 -0.0878274 0.551946 -0.950996 -0.540505 2.18371 5
|
||||
513 0.999053 -0.759218 1.01179 -0.701408 -1.55451 0.357724 -0.101705 1.1967 0.487938 -2.01246 0.366878 6
|
||||
514 0.999053 -1.35945 2.25041 -1.74273 -1.83397 1.15827 0.45955 0.743911 0.267984 -1.03277 -0.00790948 7
|
||||
515 0.999053 -1.55987 2.15308 -0.0660919 -2.00944 0.947743 -0.197303 -0.0761125 -0.121552 -1.75422 0.261581 8
|
||||
516 0.999053 -1.9555 2.87575 -1.71711 -1.0255 0.925582 -0.630579 -0.0302079 -1.72335 0.147053 0.904074 9
|
||||
517 0.999053 -1.04629 0.0548311 -0.233351 -0.649868 1.51699 -0.343784 -0.752163 -0.783092 -0.114413 0.543564 10
|
||||
518 0.999053 -2.02336 0.200399 2.142 1.55196 -0.0744029 -1.56806 -2.05836 -0.991293 1.32203 0.465037 0
|
||||
519 0.999053 -1.43774 -0.0545603 1.47162 0.982656 1.23721 -2.14011 -1.51585 -1.08532 -0.448508 2.03914 1
|
||||
520 0.999053 -1.31456 -0.489541 0.615086 1.02685 0.80093 -1.3599 -0.295203 -1.1105 -0.249987 1.37167 2
|
||||
521 0.999053 -0.475283 -0.643723 -0.89025 0.207987 -0.420658 0.260644 0.885798 -0.4221 -0.306477 1.46804 3
|
||||
522 0.999053 -0.449186 0.353719 -1.40821 -0.866931 0.12781 0.3547 1.77885 -1.52355 -0.327459 0.882657 4
|
||||
523 0.999053 -0.997223 -0.000295273 -1.20319 0.117002 0.580712 -0.357661 0.683401 -0.875439 -0.438824 1.91422 5
|
||||
524 0.999053 -0.937722 0.982504 -0.550335 -0.969614 -0.199055 -0.544232 1.74755 0.36201 -1.91078 0.636368 6
|
||||
525 0.999053 -1.40538 2.17892 -1.38798 -2.09912 0.836941 0.376287 0.677141 0.462753 -0.537277 0.0509857 7
|
||||
526 0.999053 -1.54943 2.16255 -0.505823 -1.76248 1.46159 -0.0600731 -0.66244 -0.54299 -1.73485 0.481099 8
|
||||
527 0.999053 -1.94924 2.80598 -1.5984 -1.0528 1.0904 -0.622869 -0.476735 -1.55377 -0.0240294 0.693479 9
|
||||
528 0.999053 -1.14232 0.0789488 -0.0458589 -0.93452 1.55161 -0.356119 -1.03385 -0.616868 0.251962 0.723819 10
|
||||
2
data/tanveer/conn-bench-vowel-deterding/conxuntos.dat
Executable file
2
data/tanveer/conn-bench-vowel-deterding/conxuntos.dat
Executable file
@@ -0,0 +1,2 @@
|
||||
341 66 209 330 363 506 396 374 275 220 418 22 121 33 308 264 0 132 187 484 176 44 77 242 56 34 342 155 430 144 298 320 331 199 463 133 188 23 353 276 287 78 177 375 386 474 265 221 497 442 134 321 46 244 101 255 189 310 167 57 178 222 112 376 398 354 24 387 211 156 343 453 256 47 432 157 476 124 14 333 410 421 102 487 289 212 58 223 245 179 454 113 344 465 498 190 191 26 257 59 136 521 312 70 466 378 488 147 103 499 279 444 433 114 400 125 158 301 92 4 280 82 324 137 500 148 467 346 445 390 16 126 203 269 159 478 291 60 258 401 379 522 456 38 292 28 380 468 127 215 303 204 193 402 248 325 50 226 149 314 281 6 160 259 237 435 270 523 84 183 194 249 51 161 491 139 403 414 359 282 172 271 513 29 7 106 315 469 150 326 337 117 228 30 316 261 349 415 184 52 173 217 503 514 8 360 74 294 525 426 239 305 382 492 151 459 295 119 229 251 163 438 493 64 273 350 86 130 207 262 328 240 339 53 306 284 31 383 42 405 252 395 472 351 505 131 241 32 10 219 120 175 98 186 208 406 494 340 318 109 21 483 263 87
|
||||
88 286 253 154 165 352 319 440 495 55 198 297 517 110 385 99 407 231 11 429 473 462 143 451 210 254 232 397 67 111 45 408 518 12 452 419 364 496 441 309 507 89 243 485 166 1 100 122 200 475 299 409 288 365 2 145 508 420 13 431 123 277 90 79 519 35 486 332 68 266 464 233 146 509 267 322 311 3 135 399 355 520 69 300 443 25 91 80 366 36 168 234 388 201 377 278 334 510 37 356 224 180 455 422 268 169 246 202 290 213 389 367 81 411 323 15 477 235 345 48 192 181 71 368 104 115 27 423 5 93 313 489 412 236 49 225 247 170 511 335 357 434 214 302 413 61 512 391 490 479 358 17 94 138 39 501 116 105 424 347 446 457 83 72 182 171 336 369 293 238 95 348 436 216 227 381 524 18 447 260 304 62 392 425 73 370 480 502 128 458 40 205 371 140 481 393 283 41 195 470 129 118 250 162 327 85 437 63 107 272 338 96 206 19 448 404 515 185 416 460 361 504 394 97 108 427 526 174 482 20 152 372 9 218 317 196 141 449 75 471 197 43 65 461 516 285 527 329 142 373 164 417 153 362 230 296 450 274 384 76 54 439 428 307
|
||||
8
data/tanveer/conn-bench-vowel-deterding/conxuntos_kfold.dat
Executable file
8
data/tanveer/conn-bench-vowel-deterding/conxuntos_kfold.dat
Executable file
@@ -0,0 +1,8 @@
|
||||
132 264 44 22 506 341 209 110 319 55 66 154 352 418 198 407 176 286 231 88 121 99 308 275 220 77 374 396 330 429 462 363 187 253 484 297 441 243 386 23 78 463 188 122 221 353 133 67 210 265 298 100 34 144 111 287 56 397 474 364 342 331 1 518 419 177 199 496 408 155 430 232 156 409 244 90 178 343 189 134 46 332 57 68 123 266 222 112 233 101 211 486 387 398 299 321 277 420 475 354 167 453 497 145 35 310 442 13 47 25 146 36 135 223 58 234 157 432 344 465 80 267 311 212 454 3 421 278 69 245 476 102 201 377 91 289 256 443 355 300 366 388 113 333 158 312 169 345 444 37 114 147 59 180 301 92 202 378 411 235 191 279 389 125 26 81 466 499 15 290 400 433 136 477 521 510 356 246 70 334 115 137 258 478 236 225 401 16 38 203 456 467 302 445 60 192 82 335 357 390 104 71 434 423 170 489 313 291 27 159 148 412 5 346 247 126 72 149 468 413 105 281 259 50 292 160 336 501 127 182 358 204 226 28 347 490 512 424 171 94 523 138 39 380 248 193 116 61 446 391 270 479 7 51 337 480 62 40 172 392 29 315 216 370 95 260 161 458 139 271 414 18 425 84 238 304 524 326 359 117 293 249 205 150 513 502 348 469 140 217 41 437 349 30 151 129 283 371 360 481 184 305 250 239 382 525 228 162 206 492 393 107 503 470 19 404 459 8 195 261 96 85 316 448 20 108 471 207 339 119 251 240 262 482 427 350 64 31 174 53 130 372 42 75 185 229 295 163 218 383 273 284 86 196 449 504 394 416 405 9 329 153 296 285 32 21 472 450 164 362 351 43 494 505 263 252 318 10 428 131 307 439 87 186 230 406 373 54 241 483 527 120 109 142 219 516
|
||||
11 473 451 33 517 385 165 440 242 495 143 0 309 452 89 507 276 12 320 166 485 45 375 254 200 508 464 2 79 255 365 288 376 431 519 24 410 498 168 322 179 399 509 487 124 520 190 14 488 323 268 224 48 4 213 455 257 367 422 103 280 269 214 368 511 379 324 181 500 49 522 93 6 369 237 314 215 303 325 83 17 402 435 457 403 491 227 282 106 73 128 381 194 183 447 436 426 52 514 338 272 173 63 327 415 294 74 118 152 515 361 141 317 438 97 526 460 328 306 493 384 98 417 175 274 76 65 208 197 340 461 395
|
||||
198 264 242 253 374 451 99 352 176 154 275 484 231 319 220 88 22 44 286 297 429 187 0 418 143 110 517 77 473 33 132 462 209 341 11 165 133 353 122 221 177 56 232 78 199 23 408 243 507 298 320 276 45 111 166 67 12 188 375 452 331 342 210 309 518 397 254 265 441 430 496 485 409 288 332 145 222 178 156 486 420 255 354 112 310 453 233 57 398 266 321 365 464 90 244 343 123 2 189 101 35 431 387 46 200 497 299 519 289 267 157 168 256 388 421 245 465 234 3 366 344 146 443 322 91 432 399 190 212 69 454 102 36 355 201 300 487 278 135 311 14 80 377 520 268 59 246 202 433 422 389 4 169 356 81 400 477 521 257 510 224 455 48 488 279 191 147 158 312 466 136 103 70 345 378 301 235 323 499 26 148 445 390 38 258 170 489 247 203 5 60 280 225 324 104 467 434 401 346 71 379 478 214 159 313 302 269 291 16 236 192 423 115 49 181 412 50 182 435 28 237 61 94 402 127 171 193 138 347 446 325 314 215 105 149 490 160 83 17 369 281 226 380 248 413 39 116 204 336 259 303 292 436 128 249 238 271 260 502 7 315 62 293 326 348 117 513 480 84 172 359 150 40 304 425 139 392 183 414 447 194 403 282 51 161 73 458 227 140 195 272 437 316 96 481 415 239 118 129 250 173 459 162 448 228 85 261 206 217 492 151 470 382 184 393 52 63 327 19 41 514 525 349 371 196 460 119 141 251 20 174 284 108 97 493 328 339 152 526 218 273 471 361 449 9 438 306 130 427 295 383 64 372 229 317 185 75 86 31 207 21 252 241 175 142 109 428 43 153 296 384 32 87 527 483 186 318 230 329 395 10 54 494 208 439 131 65 164 197 472 76 461 450 417 274 263
|
||||
363 385 396 440 506 66 330 407 55 495 308 121 463 386 155 474 1 364 34 89 287 419 100 144 442 277 475 13 24 508 68 134 79 211 376 167 476 509 223 410 47 113 333 25 179 124 498 58 92 411 15 367 213 334 180 444 125 290 114 37 137 511 335 82 368 522 500 456 27 93 126 357 391 501 424 523 479 512 457 468 270 358 6 72 469 216 205 18 524 29 106 337 381 491 370 95 404 74 305 8 283 30 338 426 360 294 107 503 504 416 262 240 394 350 163 482 42 53 515 405 373 505 219 516 307 340 351 98 406 120 285 362
|
||||
33 77 198 176 209 242 253 418 330 308 231 440 363 286 110 341 385 44 220 99 407 121 66 429 264 22 506 352 0 154 11 297 374 187 143 319 265 166 430 496 45 353 298 419 364 1 133 122 243 331 199 155 408 177 518 232 309 12 276 386 78 397 221 23 188 89 452 474 254 485 210 342 145 68 167 332 24 464 442 200 134 354 453 46 255 244 321 266 13 57 508 112 101 486 79 156 299 310 343 288 211 178 365 222 497 189 431 420 399 234 476 366 91 322 201 47 14 168 344 58 157 267 25 509 190 80 311 124 465 443 278 454 36 146 355 520 245 69 300 498 135 377 333 388 323 378 4 422 477 455 312 224 433 70 246 499 400 279 268 59 147 180 191 257 356 26 334 92 48 367 510 389 114 202 444 81 169 15 136 521 324 93 478 214 302 104 71 423 368 49 27 181 511 434 137 115 82 335 280 192 412 38 522 236 148 203 445 126 379 5 159 357 16 269 60 313 17 50 160 171 105 281 226 435 138 193 446 380 413 259 347 204 182 402 28 127 325 215 303 336 501 468 83 358 116 149 479 512 523 270 314 391 392 249 51 150 491 260 469 205 106 73 513 29 117 172 480 304 7 238 128 18 84 359 282 271 370 216 337 381 183 315 62 161 524 414 194 227 382 294 30 140 415 85 74 118 393 426 8 338 349 250 305 173 184 151 162 96 228 272 107 514 492 437 470 360 316 525 217 261 283 404 448 371 108 317 64 86 218 97 185 207 251 240 20 42 493 383 53 273 438 163 350 482 328 306 119 449 31 141 174 295 460 229 526 405 9 504 427 339 439 65 76 208 384 153 483 362 142 109 472 164 296 197 54 494 230 241 43 395 263 87 186 329 527 417 252 285 505 351 10 318 406 461 428 131
|
||||
495 132 451 88 484 165 396 517 55 462 473 275 287 320 56 111 100 441 507 375 67 144 463 34 2 519 398 233 123 376 409 90 277 475 387 35 3 487 113 289 102 432 256 410 421 212 179 223 37 345 301 103 125 235 290 411 488 213 466 158 456 401 489 225 291 170 390 467 346 258 500 247 248 292 457 94 6 61 72 369 424 237 490 39 436 425 293 502 348 447 326 458 139 403 40 95 481 63 129 195 41 19 206 459 503 52 239 327 416 284 394 130 152 515 196 75 471 372 361 262 516 274 450 340 98 120 307 32 21 175 373 219
|
||||
451 132 319 0 198 286 209 407 308 110 374 396 484 99 187 154 66 341 11 77 330 55 176 121 297 88 495 385 440 275 429 517 363 22 242 418 23 100 111 34 364 320 276 45 89 474 375 463 232 507 265 144 199 287 221 166 441 177 430 408 309 353 155 67 188 386 254 331 419 12 56 452 156 90 134 211 475 46 519 233 354 497 332 398 266 409 13 101 442 145 244 189 24 288 310 453 321 255 2 68 222 35 112 486 299 420 200 79 80 3 157 465 509 14 113 168 102 410 289 311 223 454 179 58 333 201 69 25 432 36 124 47 443 498 520 146 135 355 267 256 322 234 399 344 411 466 48 389 268 356 444 367 521 37 4 224 180 301 257 26 191 279 15 246 158 114 235 323 103 169 136 422 433 510 147 455 290 334 213 488 27 247 82 335 115 104 126 159 137 390 346 16 434 5 511 148 412 93 49 401 500 291 214 280 324 368 456 225 181 269 379 522 170 38 313 236 105 193 369 424 402 490 28 160 6 226 314 182 61 413 391 171 303 204 479 281 336 446 116 358 237 72 149 248 468 457 127 39 138 435 292 512 502 40 161 84 117 381 238 403 183 315 326 513 436 172 480 491 359 95 425 18 304 348 337 370 73 260 271 62 216 51 194 392 205 469 106 128 41 162 305 272 217 63 250 360 8 426 492 140 173 184 74 283 239 85 382 481 294 459 338 129 206 415 404 514 118 437 195 261 327 525 349 316 229 273 460 383 482 504 251 438 42 295 405 31 152 284 339 427 317 328 75 163 174 207 240 9 493 196 515 86 130 394 416 64 218 350 372 471 197 21 164 87 153 43 428 230 263 494 54 98 219 362 274 208 32 340 120 76 417 307 505 373 329 131 483 406 472 395 175 318 241 450 65 109
|
||||
44 253 473 462 231 352 165 220 33 506 143 264 133 78 485 518 397 243 210 298 342 496 1 122 57 376 431 277 123 178 343 464 167 508 387 365 487 212 278 91 388 377 476 421 245 300 366 190 202 312 499 400 92 81 477 59 70 125 345 378 357 478 302 445 423 203 258 71 489 467 60 192 50 380 347 215 270 83 501 325 17 94 523 259 293 139 414 447 458 29 282 227 7 524 249 150 151 52 448 503 19 371 228 96 470 393 107 30 262 449 306 361 20 185 53 526 97 119 141 108 10 516 384 296 142 285 527 351 439 186 461 252
|
||||
25
data/tanveer/conn-bench-vowel-deterding/le_datos.m
Executable file
25
data/tanveer/conn-bench-vowel-deterding/le_datos.m
Executable file
@@ -0,0 +1,25 @@
|
||||
printf('lendo problema %s ...\n', problema);
|
||||
|
||||
n_entradas= 11; n_clases= 11;
|
||||
n_fich= 2; fich{1}= 'vowel-context-train.data'; n_patrons(1)= 528; fich{2}= 'vowel-context-train.data'; n_patrons(2)= 462;
|
||||
|
||||
n_max= max(n_patrons);
|
||||
x = zeros(n_fich, n_max, n_entradas); cl= zeros(n_fich, n_max);
|
||||
|
||||
n_patrons_total = sum(n_patrons); n_iter=0;
|
||||
|
||||
for i_fich=1:n_fich
|
||||
f=fopen(fich{i_fich}, 'r');
|
||||
if -1==f
|
||||
error('erro en fopen abrindo %s\n', fich{i_fich});
|
||||
end
|
||||
for i=1:n_patrons(i_fich)
|
||||
fprintf(2,'%5.1f%%\r', 100*n_iter++/n_patrons_total);
|
||||
fscanf(f,'%i',2 );
|
||||
for j = 1:n_entradas
|
||||
x(i_fich,i,j) = fscanf(f,'%g',1);
|
||||
end
|
||||
cl(i_fich,i)=fscanf(f,'%i',1);
|
||||
end
|
||||
fclose(f);
|
||||
end
|
||||
462
data/tanveer/conn-bench-vowel-deterding/vowel-context-test.data
Executable file
462
data/tanveer/conn-bench-vowel-deterding/vowel-context-test.data
Executable file
@@ -0,0 +1,462 @@
|
||||
1 8 0 -1.149 -0.904 -1.988 0.739 -0.060 1.206 0.864 1.196 -0.300 -0.467 0
|
||||
1 8 0 -2.613 -0.092 -0.540 0.484 0.389 1.741 0.198 0.257 -0.375 -0.604 1
|
||||
1 8 0 -2.505 0.632 -0.593 0.304 0.496 0.824 -0.162 0.181 -0.363 -0.764 2
|
||||
1 8 0 -1.768 1.769 -1.142 -0.739 -0.086 0.120 -0.230 0.217 -0.009 -0.279 3
|
||||
1 8 0 -2.671 3.155 -0.514 0.133 -0.964 0.234 -0.071 1.192 0.254 -0.471 4
|
||||
1 8 0 -2.509 1.326 0.354 0.663 -0.724 0.418 -0.496 0.713 0.638 -0.204 5
|
||||
1 8 0 -2.764 1.111 0.727 1.540 -0.855 0.261 -1.110 0.227 0.420 0.991 6
|
||||
1 8 0 -3.816 3.426 0.224 -0.384 -1.733 0.434 -0.322 1.333 0.653 0.577 7
|
||||
1 8 0 -3.839 1.248 0.830 0.982 -1.110 0.617 -0.751 0.084 0.309 1.125 8
|
||||
1 8 0 -4.982 1.538 0.960 1.253 -0.640 0.588 -0.484 -0.310 -0.246 1.180 9
|
||||
1 8 0 -2.895 0.682 -0.151 0.218 -0.689 1.118 -0.264 0.922 0.757 0.327 10
|
||||
1 8 0 -1.093 -0.922 -2.091 0.844 0.009 1.247 0.891 1.453 -0.089 -0.400 0
|
||||
1 8 0 -2.499 0.119 -0.820 0.346 0.347 1.696 0.245 0.689 -0.084 -0.596 1
|
||||
1 8 0 -2.633 0.672 -0.372 0.439 0.437 0.907 -0.402 -0.040 -0.366 -0.741 2
|
||||
1 8 0 -1.707 1.652 -1.012 -0.622 -0.293 0.279 -0.276 0.477 0.050 -0.200 3
|
||||
1 8 0 -2.696 3.129 -0.520 0.294 -0.989 0.019 -0.066 1.106 0.361 -0.396 4
|
||||
1 8 0 -2.592 1.617 0.267 0.380 -0.777 0.487 -0.206 0.733 0.592 -0.403 5
|
||||
1 8 0 -2.733 1.088 0.761 1.694 -0.833 0.292 -1.069 0.266 0.369 1.034 6
|
||||
1 8 0 -3.835 3.339 0.290 -0.126 -1.680 0.195 -0.368 1.328 0.523 0.861 7
|
||||
1 8 0 -3.915 2.158 0.781 0.643 -1.023 0.598 -0.718 0.274 0.376 0.770 8
|
||||
1 8 0 -4.848 1.115 0.932 1.615 -0.589 0.592 -0.446 -0.366 -0.447 1.294 9
|
||||
1 8 0 -2.982 0.522 -0.100 0.362 -0.660 1.115 -0.305 0.859 0.637 0.344 10
|
||||
1 8 0 -1.784 -1.074 -1.661 1.324 0.289 1.303 0.924 1.307 -0.346 -0.521 0
|
||||
1 8 0 -1.890 0.207 -1.161 0.027 -0.047 1.581 0.277 1.129 0.366 -0.250 1
|
||||
1 8 0 -2.677 0.486 -0.061 0.517 0.222 1.102 -0.425 -0.096 -0.373 -0.484 2
|
||||
1 8 0 -1.716 1.186 -0.809 -0.515 -0.350 0.290 -0.404 0.678 0.172 -0.212 3
|
||||
1 8 0 -2.769 2.906 -0.194 0.349 -0.958 0.089 -0.245 1.004 0.600 -0.336 4
|
||||
1 8 0 -2.625 1.551 0.298 0.324 -1.050 0.746 0.067 0.603 0.342 -0.413 5
|
||||
1 8 0 -2.632 0.881 0.710 1.800 -0.750 0.330 -1.128 0.177 0.339 1.166 6
|
||||
1 8 0 -3.888 3.085 0.436 0.142 -1.526 -0.052 -0.503 1.085 0.511 0.976 7
|
||||
1 8 0 -3.824 1.832 1.093 1.024 -1.090 0.560 -0.336 0.299 0.126 1.005 8
|
||||
1 8 0 -4.813 1.042 0.887 1.661 -0.534 0.747 -0.513 -0.448 -0.412 1.214 9
|
||||
1 8 0 -2.971 0.463 -0.195 0.323 -0.625 0.941 -0.327 0.780 0.552 0.436 10
|
||||
1 8 0 -2.698 -1.027 -0.940 1.796 0.392 1.330 0.866 0.781 -0.838 -0.663 0
|
||||
1 8 0 -1.358 0.136 -1.082 -0.148 -0.609 1.464 0.144 1.149 0.481 0.119 1
|
||||
1 8 0 -2.594 0.621 -0.292 0.521 0.260 1.204 -0.337 0.261 -0.332 -0.510 2
|
||||
1 8 0 -1.793 0.925 -0.739 -0.396 -0.211 0.329 -0.403 0.604 0.197 -0.251 3
|
||||
1 8 0 -2.920 2.697 -0.116 0.451 -0.859 -0.035 -0.307 0.874 0.622 -0.301 4
|
||||
1 8 0 -2.696 1.260 0.436 0.657 -1.161 0.805 0.062 0.575 0.182 -0.334 5
|
||||
1 8 0 -2.484 0.559 0.624 1.951 -0.646 0.381 -1.106 0.036 0.240 1.291 6
|
||||
1 8 0 -3.989 3.049 0.304 0.209 -1.260 -0.205 -0.735 0.862 0.551 1.114 7
|
||||
1 8 0 -3.776 1.752 0.920 0.722 -1.164 0.774 -0.010 0.657 0.248 1.055 8
|
||||
1 8 0 -4.717 0.829 0.853 1.980 -0.546 0.688 -0.434 -0.424 -0.636 1.245 9
|
||||
1 8 0 -3.108 0.926 -0.389 0.249 -0.461 0.816 -0.226 0.818 0.387 0.303 10
|
||||
1 8 0 -3.366 -0.826 -0.405 1.643 0.603 1.226 0.524 0.293 -0.858 -0.668 0
|
||||
1 8 0 -1.530 0.029 -0.925 0.054 -0.565 1.593 0.123 1.117 0.338 0.026 1
|
||||
1 8 0 -1.817 0.559 -0.801 0.234 0.011 1.215 -0.161 0.809 0.018 -0.382 2
|
||||
1 8 0 -1.969 0.835 -0.671 -0.270 0.028 0.400 -0.444 0.530 0.061 -0.343 3
|
||||
1 8 0 -3.038 2.475 0.024 0.508 -0.737 -0.102 -0.358 0.706 0.600 -0.209 4
|
||||
1 8 0 -2.889 1.418 0.409 0.610 -1.018 0.992 0.005 0.518 -0.027 -0.326 5
|
||||
1 8 0 -2.710 0.809 0.754 1.903 -0.764 0.378 -1.123 0.162 0.405 1.163 6
|
||||
1 8 0 -3.992 3.342 0.167 0.086 -1.230 -0.216 -0.824 0.837 0.521 0.978 7
|
||||
1 8 0 -3.810 1.910 0.527 0.478 -0.972 0.945 -0.280 0.719 0.482 0.829 8
|
||||
1 8 0 -4.683 0.773 0.888 2.302 -0.562 0.395 -0.401 -0.289 -0.839 1.165 9
|
||||
1 8 0 -3.375 1.779 -0.822 0.382 -0.019 0.845 0.123 0.767 0.223 -0.337 10
|
||||
1 8 0 -3.312 -0.776 -0.504 1.390 0.860 1.257 0.222 0.314 -0.715 -0.765 0
|
||||
1 8 0 -2.073 0.088 -0.730 0.296 -0.286 1.750 0.154 1.078 0.294 -0.174 1
|
||||
1 8 0 -1.222 0.491 -0.716 0.004 -0.323 1.108 -0.148 0.773 0.387 -0.073 2
|
||||
1 8 0 -2.295 0.883 -0.619 -0.041 0.143 0.378 -0.602 0.335 -0.114 -0.391 3
|
||||
1 8 0 -2.968 2.149 0.130 0.676 -0.790 0.112 -0.507 0.762 0.625 -0.272 4
|
||||
1 8 0 -2.784 1.430 0.145 0.309 -0.931 1.342 0.017 0.589 -0.044 -0.273 5
|
||||
1 8 0 -3.073 1.532 0.949 1.541 -1.058 0.272 -0.961 0.449 0.619 0.969 6
|
||||
1 8 0 -3.958 4.132 -0.074 -0.190 -1.184 -0.110 -0.679 1.198 0.442 0.563 7
|
||||
1 8 0 -3.947 2.102 0.305 0.462 -0.765 1.037 -0.618 0.741 0.345 0.269 8
|
||||
1 8 0 -4.756 0.965 0.959 2.287 -0.527 0.454 -0.410 -0.362 -0.862 1.088 9
|
||||
1 8 0 -3.366 1.952 -0.898 0.258 0.282 0.835 0.290 0.681 0.431 -0.461 10
|
||||
1 9 0 -3.137 0.077 -1.157 1.589 0.204 1.898 0.170 0.676 -1.033 -0.635 0
|
||||
1 9 0 -3.262 0.956 -0.791 1.528 -0.021 0.977 -0.121 0.499 -0.990 -0.621 1
|
||||
1 9 0 -2.045 0.819 -1.460 0.652 -0.701 0.352 -0.087 0.793 -0.567 -0.013 2
|
||||
1 9 0 -1.993 1.725 -1.130 0.556 -1.223 0.485 0.211 -0.040 -0.294 -0.548 3
|
||||
1 9 0 -2.765 2.817 -2.020 0.213 -0.772 0.852 0.252 -0.193 -0.202 -0.093 4
|
||||
1 9 0 -2.550 2.391 -1.137 0.090 -0.948 0.217 0.051 0.723 -0.558 -0.204 5
|
||||
1 9 0 -3.297 2.880 -0.859 -0.301 -1.020 0.798 0.288 0.855 -0.528 -0.662 6
|
||||
1 9 0 -4.047 3.899 -0.423 0.147 -1.273 0.203 0.317 0.531 0.584 -0.110 7
|
||||
1 9 0 -4.101 2.840 -0.802 0.062 -0.733 1.304 -0.145 0.443 0.049 -0.611 8
|
||||
1 9 0 -4.693 3.146 -0.136 0.587 -0.731 1.055 -0.104 -0.021 0.637 -0.192 9
|
||||
1 9 0 -3.730 1.872 -0.801 0.555 -0.427 0.791 0.196 0.650 -0.744 -0.372 10
|
||||
1 9 0 -3.019 0.058 -1.265 1.497 0.171 1.997 0.178 0.847 -1.160 -0.548 0
|
||||
1 9 0 -3.339 1.004 -0.747 1.505 -0.068 1.007 -0.017 0.377 -0.775 -0.899 1
|
||||
1 9 0 -2.008 0.785 -1.489 0.654 -0.685 0.313 -0.085 0.856 -0.516 -0.053 2
|
||||
1 9 0 -1.951 1.684 -1.039 0.586 -1.166 0.345 0.330 -0.108 -0.198 -0.609 3
|
||||
1 9 0 -2.785 2.792 -1.924 0.225 -0.985 1.076 0.070 -0.071 -0.257 -0.135 4
|
||||
1 9 0 -2.538 2.351 -1.029 0.146 -0.922 0.201 -0.058 0.835 -0.712 -0.074 5
|
||||
1 9 0 -3.231 3.003 -1.161 -0.315 -0.816 0.870 0.311 0.677 -0.565 -0.700 6
|
||||
1 9 0 -4.033 4.071 -0.586 0.127 -1.447 0.620 0.197 0.711 0.480 -0.306 7
|
||||
1 9 0 -4.130 3.105 -1.141 0.183 -0.498 1.324 -0.399 0.675 -0.339 -0.694 8
|
||||
1 9 0 -4.718 3.281 -0.203 0.651 -0.883 1.413 -0.663 0.583 0.237 -0.307 9
|
||||
1 9 0 -3.700 1.841 -0.675 0.441 -0.383 0.890 0.176 0.594 -0.677 -0.408 10
|
||||
1 9 0 -2.973 0.036 -1.273 1.519 0.195 1.980 0.131 0.832 -1.157 -0.547 0
|
||||
1 9 0 -3.485 1.092 -0.674 1.395 -0.027 1.039 -0.047 0.384 -0.761 -0.934 1
|
||||
1 9 0 -1.929 0.777 -1.415 0.598 -0.579 0.215 -0.061 0.733 -0.333 -0.235 2
|
||||
1 9 0 -1.928 1.578 -0.997 0.672 -1.287 0.381 0.249 0.006 -0.167 -0.637 3
|
||||
1 9 0 -2.823 2.743 -2.012 0.234 -0.919 1.103 0.091 -0.177 -0.143 -0.090 4
|
||||
1 9 0 -2.521 2.283 -0.954 0.232 -0.918 0.253 -0.094 0.833 -0.704 -0.092 5
|
||||
1 9 0 -3.173 3.166 -1.501 -0.370 -0.437 0.974 0.179 0.556 -0.794 -0.549 6
|
||||
1 9 0 -4.049 4.039 -0.558 0.064 -1.676 1.024 0.047 1.024 -0.091 -0.283 7
|
||||
1 9 0 -4.130 3.291 -1.424 0.359 -0.273 1.297 -0.454 0.620 -0.527 -0.709 8
|
||||
1 9 0 -4.753 3.421 -0.189 0.656 -0.984 1.443 -0.652 0.546 0.123 -0.326 9
|
||||
1 9 0 -3.725 1.904 -0.737 0.433 -0.369 1.047 0.120 0.425 -0.678 -0.391 10
|
||||
1 9 0 -3.000 0.042 -1.238 1.529 0.187 2.028 0.104 0.759 -1.180 -0.634 0
|
||||
1 9 0 -3.587 1.193 -0.617 1.340 -0.022 1.103 -0.072 0.368 -0.854 -0.767 1
|
||||
1 9 0 -1.895 0.755 -1.388 0.638 -0.614 0.246 -0.033 0.693 -0.270 -0.346 2
|
||||
1 9 0 -1.925 1.517 -0.999 0.634 -1.270 0.207 0.385 0.004 -0.141 -0.624 3
|
||||
1 9 0 -2.797 2.706 -1.936 0.147 -0.921 1.240 -0.082 -0.006 -0.214 -0.064 4
|
||||
1 9 0 -2.561 2.191 -0.955 0.214 -0.841 0.386 -0.083 0.740 -0.612 -0.196 5
|
||||
1 9 0 -3.152 3.176 -1.573 -0.204 -0.485 0.723 0.308 0.652 -0.872 -0.586 6
|
||||
1 9 0 -4.064 4.106 -0.545 0.030 -1.645 0.904 0.103 0.907 0.050 -0.322 7
|
||||
1 9 0 -4.139 3.363 -1.464 0.459 -0.066 1.045 -0.146 0.172 -0.124 -0.864 8
|
||||
1 9 0 -4.782 3.325 -0.071 0.663 -0.913 1.012 -0.033 -0.103 0.483 -0.202 9
|
||||
1 9 0 -3.731 1.927 -0.705 0.453 -0.372 1.149 0.046 0.323 -0.627 -0.331 10
|
||||
1 9 0 -3.055 0.088 -1.217 1.562 0.186 2.059 0.054 0.639 -1.121 -0.757 0
|
||||
1 9 0 -3.711 1.377 -0.584 1.428 -0.033 1.062 -0.127 0.328 -1.092 -0.565 1
|
||||
1 9 0 -1.926 0.689 -1.433 0.716 -0.588 0.269 -0.044 0.716 -0.245 -0.285 2
|
||||
1 9 0 -1.948 1.536 -1.012 0.537 -1.229 0.183 0.460 -0.002 -0.178 -0.576 3
|
||||
1 9 0 -2.800 2.609 -1.726 0.036 -0.941 1.039 0.191 0.044 -0.165 -0.234 4
|
||||
1 9 0 -2.691 2.111 -1.067 0.174 -0.649 0.431 -0.017 0.655 -0.498 -0.292 5
|
||||
1 9 0 -3.190 3.101 -1.659 -0.182 -0.436 0.828 0.272 0.502 -0.857 -0.516 6
|
||||
1 9 0 -4.074 4.187 -0.555 0.052 -1.603 0.730 -0.061 0.981 0.249 -0.250 7
|
||||
1 9 0 -4.174 3.540 -1.430 0.417 0.267 0.918 -0.118 -0.267 -0.162 -0.710 8
|
||||
1 9 0 -4.827 3.391 -0.099 0.599 -0.723 0.741 0.089 -0.214 0.518 -0.074 9
|
||||
1 9 0 -3.735 2.096 -0.818 0.463 -0.221 1.144 0.023 0.224 -0.745 -0.325 10
|
||||
1 9 0 -3.117 0.146 -1.228 1.635 0.223 2.026 0.036 0.569 -1.150 -0.767 0
|
||||
1 9 0 -3.871 1.694 -0.606 1.428 0.044 0.844 -0.013 0.126 -1.218 -0.553 1
|
||||
1 9 0 -2.029 0.698 -1.482 0.813 -0.681 0.422 0.016 0.751 -0.300 -0.237 2
|
||||
1 9 0 -1.998 1.497 -1.005 0.519 -1.236 0.398 0.273 0.151 -0.319 -0.490 3
|
||||
1 9 0 -2.914 2.541 -1.567 0.067 -1.051 1.207 0.006 0.289 -0.325 -0.343 4
|
||||
1 9 0 -2.937 2.183 -1.291 0.355 -0.372 0.570 0.045 0.452 -0.705 -0.263 5
|
||||
1 9 0 -3.239 2.916 -1.406 -0.455 -0.454 1.219 0.078 0.383 -0.776 -0.413 6
|
||||
1 9 0 -4.069 4.205 -0.614 -0.060 -1.462 0.476 0.381 0.589 0.405 -0.259 7
|
||||
1 9 0 -4.235 3.775 -1.593 0.814 0.288 0.805 -0.566 -0.247 -0.409 -0.556 8
|
||||
1 9 0 -4.884 3.630 -0.279 0.496 -0.670 0.792 -0.005 -0.137 0.532 -0.184 9
|
||||
1 9 0 -3.756 2.204 -0.716 0.529 -0.284 1.121 0.022 0.127 -0.782 -0.394 10
|
||||
1 10 0 -4.066 0.398 -0.382 1.679 0.121 1.617 0.504 -0.315 -0.226 -0.873 0
|
||||
1 10 0 -2.966 0.659 -1.057 1.360 0.152 1.435 0.197 0.926 -0.450 -0.637 1
|
||||
1 10 0 -2.695 1.119 -0.986 0.172 0.499 0.372 0.088 0.630 -0.721 -0.256 2
|
||||
1 10 0 -2.482 1.896 -1.289 0.112 0.285 0.096 0.022 0.832 -0.333 -0.764 3
|
||||
1 10 0 -2.742 2.729 -0.129 -0.490 -0.573 0.868 0.070 0.771 0.053 -0.939 4
|
||||
1 10 0 -2.434 2.903 -1.341 -0.411 0.372 0.843 -0.022 0.336 0.123 -0.747 5
|
||||
1 10 0 -2.973 3.557 -0.396 -0.719 -0.669 0.923 0.293 1.009 0.140 -1.098 6
|
||||
1 10 0 -4.103 3.812 0.255 -0.103 -0.994 0.097 -0.345 2.039 0.020 -0.430 7
|
||||
1 10 0 -3.863 3.245 -0.996 0.486 -0.348 0.190 0.558 1.342 0.176 -0.318 8
|
||||
1 10 0 -4.611 2.962 -0.856 1.161 -0.612 0.469 0.162 0.705 0.370 -0.916 9
|
||||
1 10 0 -3.548 1.611 -0.850 0.374 0.168 0.318 0.463 0.863 -1.131 -0.334 10
|
||||
1 10 0 -4.052 0.350 -0.314 1.734 0.127 1.667 0.512 -0.377 -0.358 -0.855 0
|
||||
1 10 0 -3.034 0.694 -1.007 1.453 0.155 1.480 0.179 1.005 -0.540 -0.563 1
|
||||
1 10 0 -2.667 1.132 -1.054 0.232 0.537 0.352 0.163 0.550 -0.688 -0.295 2
|
||||
1 10 0 -2.395 1.929 -1.496 0.372 0.065 0.009 0.149 0.813 -0.484 -0.672 3
|
||||
1 10 0 -2.758 2.839 -0.282 -0.449 -0.485 0.788 0.120 0.792 0.023 -0.949 4
|
||||
1 10 0 -2.464 2.755 -0.975 -0.651 0.158 1.047 -0.145 0.203 0.246 -0.745 5
|
||||
1 10 0 -3.045 3.312 0.171 -0.605 -1.027 0.924 0.353 0.897 0.365 -0.871 6
|
||||
1 10 0 -4.089 3.712 0.315 -0.050 -0.929 0.018 -0.350 1.770 0.244 -0.301 7
|
||||
1 10 0 -3.989 3.582 -1.100 0.374 -0.120 0.291 0.663 0.960 0.023 -0.477 8
|
||||
1 10 0 -4.602 3.043 -0.959 0.828 -0.298 0.315 0.423 0.570 0.387 -0.617 9
|
||||
1 10 0 -3.707 1.486 -0.494 0.402 0.183 0.186 0.234 1.029 -0.856 -0.408 10
|
||||
1 10 0 -3.894 0.117 -0.407 1.973 0.043 1.891 0.411 -0.095 -0.436 -1.015 0
|
||||
1 10 0 -3.053 0.716 -1.024 1.422 0.184 1.473 0.261 0.983 -0.431 -0.717 1
|
||||
1 10 0 -2.615 1.185 -1.162 0.395 0.459 0.345 0.298 0.456 -0.620 -0.307 2
|
||||
1 10 0 -2.303 1.954 -1.493 0.305 0.047 0.056 0.026 0.902 -0.522 -0.645 3
|
||||
1 10 0 -2.790 2.665 0.036 -0.440 -0.604 0.811 0.098 0.723 0.134 -0.910 4
|
||||
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528
data/tanveer/conn-bench-vowel-deterding/vowel-context-train.data
Executable file
528
data/tanveer/conn-bench-vowel-deterding/vowel-context-train.data
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|
||||
136
data/tanveer/conn-bench-vowel-deterding/vowel-context.names
Executable file
136
data/tanveer/conn-bench-vowel-deterding/vowel-context.names
Executable file
@@ -0,0 +1,136 @@
|
||||
|
||||
|
||||
Introduction
|
||||
============
|
||||
|
||||
In my work on context-sensitive learning, I used the "Deterding Vowel
|
||||
Recognition Data", but I found it necessary to reformulate the data.
|
||||
Implicit in the original data is contextual information on the
|
||||
speaker's gender and identity. For my work, it was necessary to make
|
||||
this information explicit. The file "vowel-context.data" adds the
|
||||
speaker's sex and identity as new features. The format of the data file
|
||||
is described below.
|
||||
|
||||
|
||||
Peter Turney
|
||||
peter@ai.iit.nrc.ca
|
||||
|
||||
|
||||
|
||||
References
|
||||
==========
|
||||
|
||||
P. Turney. "Robust Classification With Context-Sensitive Features."
|
||||
Proceedings of the Sixth International Conference on Industrial
|
||||
and Engineering Applications of Artificial Intelligence and Expert
|
||||
Systems (IEA/AIE-93): 268-276. 1993.
|
||||
|
||||
URL: ftp://ai.iit.nrc.ca/pub/ksl-papers/NRC-35074.ps.Z
|
||||
|
||||
|
||||
P. Turney. "Exploiting Context When Learning to Classify."
|
||||
Proceedings of the European Conference on Machine Learning
|
||||
(ECML-93): 402-407. 1993.
|
||||
|
||||
URL: ftp://ai.iit.nrc.ca/pub/ksl-papers/NRC-35058.ps.Z
|
||||
|
||||
|
||||
|
||||
File Structure
|
||||
==============
|
||||
|
||||
|
||||
Column Description
|
||||
-------------------------------
|
||||
0 Train or Test
|
||||
1 Speaker Number
|
||||
2 Sex
|
||||
3 Feature 0
|
||||
4 Feature 1
|
||||
5 Feature 2
|
||||
6 Feature 3
|
||||
7 Feature 4
|
||||
8 Feature 5
|
||||
9 Feature 6
|
||||
10 Feature 7
|
||||
11 Feature 8
|
||||
12 Feature 9
|
||||
13 Class
|
||||
|
||||
|
||||
|
||||
|
||||
Numerical Codes
|
||||
===============
|
||||
|
||||
|
||||
Speaker Code Number
|
||||
---------------------------
|
||||
Andrew 0
|
||||
Bill 1
|
||||
David 2
|
||||
Mark 3
|
||||
Jo 4
|
||||
Kate 5
|
||||
Penny 6
|
||||
Rose 7
|
||||
Mike 8
|
||||
Nick 9
|
||||
Rich 10
|
||||
Tim 11
|
||||
Sarah 12
|
||||
Sue 13
|
||||
Wendy 14
|
||||
|
||||
|
||||
|
||||
Set Number
|
||||
---------------------------
|
||||
Train 0
|
||||
Test 1
|
||||
|
||||
|
||||
|
||||
Sex Number
|
||||
---------------------------
|
||||
Male 0
|
||||
Female 1
|
||||
|
||||
|
||||
|
||||
Class Number
|
||||
---------------------------
|
||||
hid 0
|
||||
hId 1
|
||||
hEd 2
|
||||
hAd 3
|
||||
hYd 4
|
||||
had 5
|
||||
hOd 6
|
||||
hod 7
|
||||
hUd 8
|
||||
hud 9
|
||||
hed 10
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Speaker Code Number Sex Train/Test
|
||||
---------------------------------------------------------------
|
||||
Andrew 0 0 0
|
||||
Bill 1 0 0
|
||||
David 2 0 0
|
||||
Mark 3 0 0
|
||||
Jo 4 1 0
|
||||
Kate 5 1 0
|
||||
Penny 6 1 0
|
||||
Rose 7 1 0
|
||||
Mike 8 0 1
|
||||
Nick 9 0 1
|
||||
Rich 10 0 1
|
||||
Tim 11 0 1
|
||||
Sarah 12 1 1
|
||||
Sue 13 1 1
|
||||
Wendy 14 1 1
|
||||
|
||||
Reference in New Issue
Block a user