Mudanças entre as edições de "Resultados de Pesquisa 4"
(New page: {| border=1 width="100%" |- |rowspan=3 align="left" |'''Métricas''' |colspan=7 align="center" |'''Média''' |colspan=7 align="center" |'''Desvio Padrão''' |- |colspan=7 align="center" |...) |
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(10 revisões intermediárias por 3 usuários não estão sendo mostradas) | |||
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+ | [[category:SCAE]] | ||
+ | == Train Test Vectors (TTVs) == | ||
+ | ==== TTV_C1S_DESC ==== | ||
+ | A ser editado! | ||
+ | |||
+ | ==== TTV_DVS1_OBJS ==== | ||
+ | A ser editado! | ||
+ | |||
+ | == Legenda dos Termos das Tabelas == | ||
+ | ==== PT ==== | ||
+ | Denota a função para o cálculo dos pesos dos termos, que podem ser computados como a freqüência dos termos (''term frequency (TF)'') ou como a freqüência dos termos multiplicada pela freqüência inversa nos documentos (''inverse document frequency (TFIDF)''). | ||
+ | |||
+ | ==== CGD ==== | ||
+ | Denota as classes gramaticais desconsideradas no ''lexicon''. | ||
+ | |||
+ | ==== PFS ==== | ||
+ | Denota a freqüência acima da qual a palavra não é incluída no ''lexicon''. | ||
+ | |||
+ | ==== SYNAPSES ==== | ||
+ | A ser editado! | ||
+ | |||
+ | ==== SIGMA ==== | ||
+ | Valor da variância da Gaussiana das funções de transferências do PNN. | ||
+ | |||
+ | ==== NL_WIDTH ==== | ||
+ | A ser editado! | ||
+ | |||
+ | ==== NL_HEIGHT ==== | ||
+ | A ser editado! | ||
+ | |||
+ | == Resultados dos Experimentos com o [[Manual_do_SCAE#MLKNN_CORE|MLKNN]], [[Manual_do_SCAE#PNN_CORE|PNN]], [[Manual_do_SCAE#VS_CORE|VS]], [[Manual_do_SCAE#WNN_CORE|WNN]], [[Manual_do_SCAE#WNN_COR_CORE|WNN_COR]], [[Manual_do_SCAE#BAYESIAN_CORE|BN]] == | ||
+ | ==== Tabela 1.1.1 ==== | ||
+ | {| border=0 width="100%" | ||
+ | |- | ||
+ | |width="40%"| '''Cores''': MLKNN, PNN, WNN, WNN_COR e BN | ||
+ | |width="40%"| '''Função para o cálculo dos pesos dos termos ([[#PT|PT]])''': TFIDF | ||
+ | |width="20%"| '''[[#PFS|PFS]]''': 20000 | ||
+ | |||
+ | |- | ||
+ | |width="40%"| '''Dicionário''': [[#DICIONARIO_COMPLETO_CORRIGIDO|DICIONARIO_COMPLETO_CORRIGIDO]] | ||
+ | |width="40%"| '''[[#CGD|CGD]]''': "prep." | ||
+ | |width="20%"| | ||
+ | |||
+ | |- | ||
+ | |width="40%"| '''Folds''': 10 | ||
+ | |width="40%"| '''Número de documentos de teste por fold''': 691 (o último fold possui 692) documentos | ||
+ | |width="20%"| | ||
+ | |||
+ | |- | ||
+ | |width="40%"| '''Tamanho médio do Lexicon''': 3609,8 (desvio padrão de 21,17) | ||
+ | |width="40%"| | ||
+ | |width="20%"| | ||
+ | |- | ||
+ | |width="40%" valign="top"|'''Construções das tabelas''': | ||
+ | <!--Linhas -->* Linhas: build_tables_subclasse_110_vbhex100_corrigido_tfidf_F(1-10).bat | ||
+ | <!--Linhas -->* Nome da base: EX100 | ||
+ | <!--Linhas -->* Nível de treinamento: subclasse | ||
+ | <!--Linhas -->* Validação: usado o fold 10 para calibração | ||
+ | <!--Linhas -->* Teste: usados 9 folds para treino e um fold para teste. Total de 10 testes foram executados para cada classificador | ||
+ | |||
+ | |||
+ | <!--end_of_construction_of_tables--> | ||
+ | |width="40%"|'''Configurações dos Cores''': | ||
+ | * '''PNN''': | ||
+ | ** SIGMA: 0,35 | ||
+ | * '''ML-KNN''': | ||
+ | ** k: 100 | ||
+ | |||
+ | * '''WNN''': | ||
+ | ** NL_WIDTH: 32 | ||
+ | ** NL_HEIGHT: 32 | ||
+ | ** SYNAPSES: 1024 | ||
+ | * '''WNN_COR''': | ||
+ | ** NL_WIDTH: 32 | ||
+ | ** NL_HEIGHT: 32 | ||
+ | ** SYNAPSES: 512 | ||
+ | |||
+ | |width="20%"| | ||
+ | |} | ||
+ | |||
{| border=1 width="100%" | {| border=1 width="100%" | ||
Linha 25: | Linha 105: | ||
|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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|- | |- | ||
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− | |align="center" |0, | + | |align="center" |0,01102 |
− | |align="center" |0, | + | |align="center" |0,01131 |
− | |align="center" |0, | + | |align="center" |0,00833 |
− | |align=" | + | |align="center" |0,04418 |
|} | |} |
Edição atual tal como às 17h26min de 14 de setembro de 2012
Índice
Train Test Vectors (TTVs)
TTV_C1S_DESC
A ser editado!
TTV_DVS1_OBJS
A ser editado!
Legenda dos Termos das Tabelas
PT
Denota a função para o cálculo dos pesos dos termos, que podem ser computados como a freqüência dos termos (term frequency (TF)) ou como a freqüência dos termos multiplicada pela freqüência inversa nos documentos (inverse document frequency (TFIDF)).
CGD
Denota as classes gramaticais desconsideradas no lexicon.
PFS
Denota a freqüência acima da qual a palavra não é incluída no lexicon.
SYNAPSES
A ser editado!
SIGMA
Valor da variância da Gaussiana das funções de transferências do PNN.
NL_WIDTH
A ser editado!
NL_HEIGHT
A ser editado!
Resultados dos Experimentos com o MLKNN, PNN, VS, WNN, WNN_COR, BN
Tabela 1.1.1
Cores: MLKNN, PNN, WNN, WNN_COR e BN | Função para o cálculo dos pesos dos termos (PT): TFIDF | PFS: 20000 |
Dicionário: DICIONARIO_COMPLETO_CORRIGIDO | CGD: "prep." | |
Folds: 10 | Número de documentos de teste por fold: 691 (o último fold possui 692) documentos | |
Tamanho médio do Lexicon: 3609,8 (desvio padrão de 21,17) | ||
Construções das tabelas:
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Configurações dos Cores:
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Métricas | Média | Desvio Padrão | ||||||||||||
COREs | COREs | |||||||||||||
MLKNN | PNN | VS | WNN | WNN_COR | BN | Total geral | MLKNN | PNN | VS | WNN | WNN_COR | BN | Total geral | |
one_error | 0,30820 | 0,25713 | 0,41065 | 0,22066 | 0,21473 | 0,22673 | 0,27302 | 0,02410 | 0,02989 | 0,01653 | 0,01426 | 0,01839 | 0,01764 | 0,07255 |
ranking_loss | 0,01879 | 0,06655 | 0,02530 | 0,01969 | 0,01737 | 0,04202 | 0,03162 | 0,00224 | 0,06198 | 0,00287 | 0,00266 | 0,00261 | 0,07719 | 0,04263 |
coverage | 3,14898 | 10,28191 | 4,00725 | 3,46290 | 3,00230 | 2,70097 | 4,43405 | 0,33080 | 9,25491 | 0,32829 | 0,34603 | 0,34358 | 0,99799 | 4,51779 |
average_precision_d | 0,76963 | 0,79071 | 0,71072 | 0,82556 | 0,82785 | 0,73994 | 0,77740 | 0,01435 | 0,03184 | 0,01250 | 0,01030 | 0,01216 | 0,25472 | 0,10956 |
r_precision_d | 0,65988 | 0,69865 | 0,64044 | 0,74660 | 0,74804 | 0,94165 | 0,73921 | 0,02038 | 0,04132 | 0,01534 | 0,01351 | 0,01587 | 0,64259 | 0,27089 |
hamming_loss | 0,00959 | 0,00875 | 0,01127 | 0,00748 | 0,00740 | 0,28397 | 0,05474 | 0,00059 | 0,00116 | 0,00054 | 0,00047 | 0,00047 | 0,87358 | 0,35651 |
r_hamming_loss | 0,68080 | 0,60285 | 0,78784 | 0,50798 | 0,50639 | 0,55106 | 0,60615 | 0,04090 | 0,08246 | 0,03578 | 0,02720 | 0,03214 | 0,09192 | 0,11586 |
exact_match | 0,55593 | 0,59817 | 0,48778 | 0,65736 | 0,65591 | 0,66324 | 0,60307 | 0,02248 | 0,05455 | 0,02309 | 0,01651 | 0,01850 | 0,05191 | 0,07306 |
micro_precision | 0,66795 | 0,69776 | 0,59443 | 0,74063 | 0,74271 | 0,73083 | 0,69572 | 0,01789 | 0,03856 | 0,01453 | 0,01345 | 0,01428 | 0,01139 | 0,05640 |
micro_recall | 0,67045 | 0,69783 | 0,69674 | 0,74382 | 0,74817 | 0,73076 | 0,71463 | 0,01873 | 0,03864 | 0,01163 | 0,01387 | 0,01423 | 0,01131 | 0,03455 |
macro_precision_d | 0,65988 | 0,69865 | 0,64044 | 0,74660 | 0,74804 | 0,66549 | 0,69318 | 0,02038 | 0,04132 | 0,01534 | 0,01351 | 0,01587 | 0,23108 | 0,10178 |
macro_recall_d | 0,66189 | 0,69865 | 0,70704 | 0,74797 | 0,75035 | 0,66549 | 0,70523 | 0,02103 | 0,04132 | 0,01316 | 0,01373 | 0,01588 | 0,23108 | 0,09907 |
macro_precision_c | 0,66185 | 0,66540 | 0,60152 | 0,73439 | 0,73459 | 0,70879 | 0,68442 | 0,01649 | 0,07129 | 0,01318 | 0,01342 | 0,01451 | 0,04670 | 0,05915 |
macro_recall_c | 0,67346 | 0,70228 | 0,69813 | 0,74676 | 0,75014 | 0,71847 | 0,71487 | 0,01301 | 0,03625 | 0,00885 | 0,01094 | 0,00902 | 0,04971 | 0,03737 |
micro_f_1 | 0,66920 | 0,69780 | 0,64151 | 0,74222 | 0,74543 | 0,72172 | 0,70298 | 0,01831 | 0,03860 | 0,01314 | 0,01365 | 0,01424 | 0,03685 | 0,04512 |
macro_f_1_d | 0,66058 | 0,69865 | 0,66293 | 0,74712 | 0,74892 | 0,72663 | 0,70747 | 0,02061 | 0,04132 | 0,01426 | 0,01359 | 0,01588 | 0,03913 | 0,04470 |
macro_f_1_c | 0,65099 | 0,66439 | 0,63257 | 0,72333 | 0,72580 | 0,71253 | 0,68493 | 0,01331 | 0,05514 | 0,01102 | 0,01102 | 0,01131 | 0,00833 | 0,04418 |