|
37 | 37 | "RT Polarity","gcnn_spline","0.782363977","{format: 'tfidf', vocab_size: 5000}","{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}","-","75367b7","1515950195"
|
38 | 38 | "RT Polarity","gcnn_fourier","0.772045028","{format: 'tfidf', vocab_size: 5000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [5000], num_features: [32], pooling_sizes: [1], fc_layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 200}","-","75367b7","1515948046"
|
39 | 39 | "RCV1","linear_svc","0.895170386","{format: 'tfidf', vocab_size: 10000}","{C: 1.0}","-","-","d9f432e","1519484250"
|
40 |
| -"RCV1","linear_svc","0.911878215","{format: 'tfidf', vocab_size: 10000}","{C: 14.3}","-","-","b9df4c8","1520320070" |
| 40 | +"RCV1","linear_svc","0.911868698","{format: 'tfidf', vocab_size: 10000}","{C: 14.3}","-","Optimized Hyperparameters","03eaf72","1521482564" |
41 | 41 | "RCV1","multinomial_nb","0.675555936","{format: 'tfidf', vocab_size: 10000}","{alpha: 0.01}","-","-","d9f432e","1519484250"
|
| 42 | +"RCV1","multinomial_nb","0.684449965","{format: 'tfidf', vocab_size: 10000}","{alpha: 1e-10}","-","Optimized Hyperparameters","03eaf72","1521482564" |
| 43 | +"RCV1","mlp","0.908594705","{format: 'tfidf', vocab_size: 10000}","{layers: []}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 50}","-","6ec4c96","1521146411" |
| 44 | +"RCV1","mlp","0.914357503","{format: 'tfidf', vocab_size: 10000}","{layers: [500]}","{learning_rate: 0.001, dropout: 0.5, l2_reg: 0.0, batch_size: 64, epochs: 50}","Optimized Hyperparameters","03eaf72","1521613235" |
42 | 45 | "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 | +"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 | +"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" |
43 | 48 | "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"
|
| 49 | +"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" |
| 50 | +"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" |
| 51 | +"RCV1","gcnn_fourier","0.913477142","{format: 'tfidf', vocab_size: 10000}","{num_edges: 16, coarsening_levels: 0, filter_sizes: [10000], 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","1521585284" |
44 | 52 | "RCV1-Vectors-Original","linear_svc","0.865884896","{format: 'tfidf', vocab_size: 47236}","{C: 1.0}","-","-","35bdb3c","1518630908"
|
45 | 53 | "RCV1-Vectors-Original","multinomial_nb","0.770971877","{format: 'tfidf', vocab_size: 47236}","{alpha: 0.01}","-","-","35bdb3c","1518630908"
|
46 | 54 | "RCV1-Vectors-Custom","linear_svc","0.911881150","{format: 'tfidf', vocab_size: 47236}","{C: 1.0}","-","-","35bdb3c","1518630986"
|
|
0 commit comments