OpenML
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 288 Supervised Classification waveform-5000 313 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, build_cpu_time: 0.047, build_memory: 54935728, f_measure: 0.7234, kappa: 0.5845, kb_relative_information_score: 1024.4951, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7239, predictive_accuracy: 0.723, prior_entropy: 1.5849, recall: 0.723, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9115, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, build_cpu_time: 0.075, build_memory: 2844302600, f_measure: 0.7234, kappa: 0.5845, kb_relative_information_score: 1024.4951, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7239, predictive_accuracy: 0.723, prior_entropy: 1.5849, recall: 0.723, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9115, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, build_cpu_time: 0.072, build_memory: 2257369800, f_measure: 0.7234, kappa: 0.5845, kb_relative_information_score: 1024.4951, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7239, predictive_accuracy: 0.723, prior_entropy: 1.5849, recall: 0.723, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9115, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, build_cpu_time: 0.041, build_memory: 1146305696, f_measure: 0.7234, kappa: 0.5845, kb_relative_information_score: 1024.4951, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7239, predictive_accuracy: 0.723, prior_entropy: 1.5849, recall: 0.723, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9115, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, build_cpu_time: 0.069, build_memory: 771531264, f_measure: 0.7234, kappa: 0.5845, kb_relative_information_score: 1024.4951, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7239, predictive_accuracy: 0.723, prior_entropy: 1.5849, recall: 0.723, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9115, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 2.591, build_memory: 1028767744, f_measure: 0.8458, kappa: 0.77, kb_relative_information_score: 1063.8699, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 1.5849, recall: 0.8467, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5985, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 3.093, build_memory: 889471136, f_measure: 0.8458, kappa: 0.77, kb_relative_information_score: 1063.8699, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 1.5849, recall: 0.8467, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5985, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 2.861, build_memory: 835115256, f_measure: 0.8458, kappa: 0.77, kb_relative_information_score: 1063.8699, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 1.5849, recall: 0.8467, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5985, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 2.885, build_memory: 382178424, f_measure: 0.8458, kappa: 0.77, kb_relative_information_score: 1063.8699, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 1.5849, recall: 0.8467, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5985, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 3.152, build_memory: 1635576624, f_measure: 0.8458, kappa: 0.77, kb_relative_information_score: 1063.8699, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 1.5849, recall: 0.8467, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5985, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, build_cpu_time: 5.473, build_memory: 60471152, f_measure: 0.7489, kappa: 0.6246, kb_relative_information_score: 1080.9558, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7491, predictive_accuracy: 0.7497, prior_entropy: 1.5849, recall: 0.7497, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7864, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 2.997, build_memory: 877983224, f_measure: 0.7452, kappa: 0.6191, kb_relative_information_score: 1044.8279, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7452, predictive_accuracy: 0.7461, prior_entropy: 1.5849, recall: 0.7461, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7613, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, build_cpu_time: 1.51, build_memory: 1958966936, f_measure: 0.7256, kappa: 0.591, kb_relative_information_score: 949.4826, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7276, predictive_accuracy: 0.7273, prior_entropy: 1.5849, recall: 0.7273, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7624, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, build_cpu_time: 0.663, build_memory: 623160840, f_measure: 0.6969, kappa: 0.5492, kb_relative_information_score: 800.1835, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6978, predictive_accuracy: 0.6994, prior_entropy: 1.5849, recall: 0.6994, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7782, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, build_cpu_time: 0.325, build_memory: 347157384, f_measure: 0.6544, kappa: 0.4818, kb_relative_information_score: 584.5151, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6544, predictive_accuracy: 0.6545, prior_entropy: 1.5849, recall: 0.6545, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.835, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, build_cpu_time: 1.811, build_memory: 1004933856, f_measure: 0.7947, kappa: 0.7119, kb_relative_information_score: 1054.7304, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8429, predictive_accuracy: 0.8079, prior_entropy: 1.5849, recall: 0.8079, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6558, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 2.207, build_memory: 1172477184, f_measure: 0.7947, kappa: 0.7119, kb_relative_information_score: 1060.4893, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8429, predictive_accuracy: 0.8079, prior_entropy: 1.5849, recall: 0.8079, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6545, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 2.365, build_memory: 1341706896, f_measure: 0.7947, kappa: 0.7119, kb_relative_information_score: 1060.4893, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8429, predictive_accuracy: 0.8079, prior_entropy: 1.5849, recall: 0.8079, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6545, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 2.57, build_memory: 674065648, f_measure: 0.7947, kappa: 0.7119, kb_relative_information_score: 1060.4893, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8429, predictive_accuracy: 0.8079, prior_entropy: 1.5849, recall: 0.8079, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6545, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 2.401, build_memory: 1052992336, f_measure: 0.7947, kappa: 0.7119, kb_relative_information_score: 1060.4893, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8429, predictive_accuracy: 0.8079, prior_entropy: 1.5849, recall: 0.8079, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6545, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, build_cpu_time: 1377.241, build_memory: 116080488, f_measure: 0.6815, kappa: 0.5253, kb_relative_information_score: 659.9393, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7146, predictive_accuracy: 0.6836, prior_entropy: 1.5849, recall: 0.6836, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7804, scimark_benchmark: 939.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, build_cpu_time: 2953.11, build_memory: 227205840, f_measure: 0.8623, kappa: 0.7936, kb_relative_information_score: 1339.7257, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8625, predictive_accuracy: 0.8624, prior_entropy: 1.5849, recall: 0.8624, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6389, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, build_cpu_time: 1518.317, build_memory: 234930264, f_measure: 0.864, kappa: 0.7964, kb_relative_information_score: 1342.6532, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8644, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6334, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, build_cpu_time: 788.031, build_memory: 548326072, f_measure: 0.8484, kappa: 0.7727, kb_relative_information_score: 1310.7678, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8484, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6611, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 386.672, build_memory: 2725686712, f_measure: 0.846, kappa: 0.7691, kb_relative_information_score: 1301.1439, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.846, predictive_accuracy: 0.8461, prior_entropy: 1.5849, recall: 0.8461, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6593, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, build_cpu_time: 186.724, build_memory: 411256304, f_measure: 0.8339, kappa: 0.7509, kb_relative_information_score: 1275.8817, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8339, predictive_accuracy: 0.8339, prior_entropy: 1.5849, recall: 0.8339, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6749, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, build_cpu_time: 27.185, build_memory: 105992432, f_measure: 0.8181, kappa: 0.7273, kb_relative_information_score: 1201.2384, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8198, predictive_accuracy: 0.8182, prior_entropy: 1.5849, recall: 0.8182, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6218, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, build_cpu_time: 48.454, build_memory: 1252312304, f_measure: 0.8231, kappa: 0.7346, kb_relative_information_score: 1230.2067, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8232, predictive_accuracy: 0.823, prior_entropy: 1.5849, recall: 0.823, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6229, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 87.051, build_memory: 186374408, f_measure: 0.8262, kappa: 0.7391, kb_relative_information_score: 1245.9592, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8266, predictive_accuracy: 0.8261, prior_entropy: 1.5849, recall: 0.8261, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6249, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, build_cpu_time: 175.472, build_memory: 234095400, f_measure: 0.8377, kappa: 0.7564, kb_relative_information_score: 1263.4961, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8379, predictive_accuracy: 0.8376, prior_entropy: 1.5849, recall: 0.8376, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6215, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, build_cpu_time: 337.834, build_memory: 395870840, f_measure: 0.8328, kappa: 0.7491, kb_relative_information_score: 1266.7138, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.833, predictive_accuracy: 0.8327, prior_entropy: 1.5849, recall: 0.8327, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6345, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, build_cpu_time: 193.157, build_memory: 258447168, f_measure: 0.8416, kappa: 0.7627, kb_relative_information_score: 1297.8802, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8417, predictive_accuracy: 0.8418, prior_entropy: 1.5849, recall: 0.8418, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6712, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, build_cpu_time: 100.316, build_memory: 201588408, f_measure: 0.838, kappa: 0.7573, kb_relative_information_score: 1282.1669, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 1.5849, recall: 0.8382, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6812, scimark_benchmark: 935.6292,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.359, build_memory: 1824065688, f_measure: 0.5373, kappa: 0.3179, kb_relative_information_score: 565.2273, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.5352, predictive_accuracy: 0.5455, prior_entropy: 1.5849, recall: 0.5455, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9464, scimark_benchmark: 942.3187,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, build_cpu_time: 0.626, build_memory: 230612400, f_measure: 0.5356, kappa: 0.3254, kb_relative_information_score: 565.0948, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.5291, predictive_accuracy: 0.5503, prior_entropy: 1.5849, recall: 0.5503, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9092, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, build_cpu_time: 1.614, build_memory: 278356408, f_measure: 0.5433, kappa: 0.3401, kb_relative_information_score: 562.0396, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.538, predictive_accuracy: 0.56, prior_entropy: 1.5849, recall: 0.56, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9051, scimark_benchmark: 785.9104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 4.305, build_memory: 289546496, f_measure: 0.796, kappa: 0.7138, kb_relative_information_score: 1205.4341, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8438, predictive_accuracy: 0.8091, prior_entropy: 1.5849, recall: 0.8091, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.7047, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 4110.622, build_memory: 849027872, f_measure: 0.8635, kappa: 0.7955, kb_relative_information_score: 1290.0267, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8635, predictive_accuracy: 0.8636, prior_entropy: 1.5849, recall: 0.8636, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5443, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, build_cpu_time: 9824.128, build_memory: 990537432, f_measure: 0.8653, kappa: 0.7982, kb_relative_information_score: 1290.9436, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8654, predictive_accuracy: 0.8655, prior_entropy: 1.5849, recall: 0.8655, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5421, scimark_benchmark: 895.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.172, build_memory: 3272129560, f_measure: 0.5165, kappa: 0.3941, kb_relative_information_score: 522.8907, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6483, predictive_accuracy: 0.5958, prior_entropy: 1.5849, recall: 0.5958, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8623, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, build_cpu_time: 0.053, build_memory: 62803080, f_measure: 0.5253, kappa: 0.4005, kb_relative_information_score: 523.9258, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6585, predictive_accuracy: 0.6, prior_entropy: 1.5849, recall: 0.6, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8616, scimark_benchmark: 942.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, build_cpu_time: 0.046, build_memory: 754882432, f_measure: 0.5156, kappa: 0.3941, kb_relative_information_score: 522.6944, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6509, predictive_accuracy: 0.5958, prior_entropy: 1.5849, recall: 0.5958, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8636, scimark_benchmark: 1248.2043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.023, build_memory: 1756665400, f_measure: 0.5274, kappa: 0.4041, kb_relative_information_score: 525.5117, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6536, predictive_accuracy: 0.6024, prior_entropy: 1.5849, recall: 0.6024, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8637, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 0.005, build_memory: 2393966288, f_measure: 0.5309, kappa: 0.4041, kb_relative_information_score: 529.8344, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6519, predictive_accuracy: 0.6024, prior_entropy: 1.5849, recall: 0.6024, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8651, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 108.428, build_memory: 63737976, f_measure: 0.8315, kappa: 0.7473, kb_relative_information_score: 1201.5788, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8316, predictive_accuracy: 0.8315, prior_entropy: 1.5849, recall: 0.8315, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.5801, scimark_benchmark: 939.4026,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs