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5 | 5 | "20 Newsgroups","linear_svc","0.695387663","{format: 'tfidf', vocab_size: 10000}","{C: 41.0}","-","Optimized Hyperparameters","03eaf72","1521456928"
|
6 | 6 | "20 Newsgroups","multinomial_nb","0.695387663","{format: 'tfidf', vocab_size: 10000}","{alpha: 0.01}","-","-","383e377","1518630749"
|
7 | 7 | "20 Newsgroups","multinomial_nb","0.684493492","{format: 'tfidf', vocab_size: 10000}","{alpha: 0.001}","-","Optimized Hyperparameters","03eaf72","1521456928"
|
| 8 | +"20 Newsgroups","mlp","0.683644595","{format: 'count', vocab_size: 10000}","{layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","337d001","1521887656" |
| 9 | +"20 Newsgroups","mlp","0.712082626","{format: 'count', vocab_size: 10000}","{layers: [100]}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","03eaf72","1521740336" |
| 10 | +"20 Newsgroups","mlp","0.707979626","{format: 'count', vocab_size: 10000}","{layers: [360]}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","03eaf72","1521740417" |
8 | 11 | "20 Newsgroups","mlp","0.709252954","{format: 'tfidf', vocab_size: 10000}","{layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","3f55b77","1514560051"
|
9 | 12 | "20 Newsgroups","mlp","0.729202037","{format: 'tfidf', vocab_size: 10000}","{layers: [100]}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","Optimized Hyperparameters","f1d6a91","1521358519"
|
10 | 13 | "20 Newsgroups","mlp","0.730758347","{format: 'tfidf', vocab_size: 10000}","{layers: [360]}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","0ddb83d","1514562275"
|
|
15 | 18 | "20 Newsgroups","gcnn_chebyshev","0.679541596","{format: 'count', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [5], num_features: [32], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","b5fc243","1518035369"
|
16 | 19 | "20 Newsgroups","gcnn_chebyshev","0.717600453","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [5], num_features: [8], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","97660b4","1516702205"
|
17 | 20 | "20 Newsgroups","gcnn_chebyshev","0.715053763","{format: 'tfidf', vocab_size: 10000}","{num_edges: 8, coarsening_levels: 0, filter_sizes: [2], num_features: [32], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","Optimized Hyperparameters","03eaf72","1521360585"
|
18 |
| -"20 Newsgroups","gcnn_chebyshev","0.716468573","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [5], num_features: [32], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","Xavier Initialization","b52742c","1514491066" |
| 21 | +"20 Newsgroups","gcnn_chebyshev","0.716468573","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [5], num_features: [32], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","Architecture from M. Defferrard, 2017","b52742c","1514491066" |
19 | 22 | "20 Newsgroups","gcnn_chebyshev","0.716185625","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 3, filter_sizes: [2], num_features: [4], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","97660b4","1516654550"
|
20 | 23 | "20 Newsgroups","gcnn_chebyshev","0.692133560","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 3, filter_sizes: [2], num_features: [4], pooling_sizes: [4], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","97660b4","1516683996"
|
21 | 24 | "20 Newsgroups","gcnn_chebyshev","0.629881154","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 3, filter_sizes: [2], num_features: [4], pooling_sizes: [4], fc_layers: [1000]}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","Architecture from M. Henaff, 2015","97660b4","1516684850"
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|
45 | 48 | "RCV1","mlp","0.910050871","{format: 'tfidf', vocab_size: 10000}","{layers: [2000, 1000]}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 50}","-","b9df4c8","1520060333"
|
46 | 49 | "RCV1","cnn_fchollet","0.899438948","{format: 'word2ind', vocab_size: 10001, seq_len: 1000}","{filter_widths: [5, 5, 5], num_features: [128, 128, 128], pooling_sizes: [5, 5, 5], fc_layers: [128]}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 50}","-","2966f15","1520951089"
|
47 | 50 | "RCV1","cnn_ykim","0.907462133","{format: 'word2ind', vocab_size: 10001, seq_len: 1000}","{filter_widths: [3, 4, 5], num_features: 128, fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 50}","-","2966f15","1520942963"
|
| 51 | +"RCV1","gcnn_chebyshev","0.896842015","{format: 'count', vocab_size: 2000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [5], num_features: [32], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 50}","-","d9f432e","1519460206" |
48 | 52 | "RCV1","gcnn_chebyshev","0.912734783","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [4], num_features: [8], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 50}","-","b9df4c8","1520751496"
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49 | 53 | "RCV1","gcnn_chebyshev","0.913301069","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [4], num_features: [8], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.2, l2_reg: 0.0, batch_size: 64, epochs: 50}","Optimized Hyperparameters","6ec4c96","1521146641"
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50 | 54 | "RCV1","gcnn_spline","0.912901338","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [4], num_features: [8], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 50}","-","03eaf72","1521456262"
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