OpenML
Supervised Classification on bank32nh

Supervised Classification on bank32nh

Task 3698 Supervised Classification bank32nh 544 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, build_cpu_time: 18.3934, build_memory: 977249111.7939, f_measure: 0.8009, kappa: 0.5257, kb_relative_information_score: 3117.2557, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8005, predictive_accuracy: 0.8062, prior_entropy: 0.8937, recall: 0.8062, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7802, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, build_cpu_time: 9.3367, build_memory: 1396303277.0225, f_measure: 0.7996, kappa: 0.5225, kb_relative_information_score: 3107.6586, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7992, predictive_accuracy: 0.8049, prior_entropy: 0.8937, recall: 0.8049, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7836, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, build_cpu_time: 9.1558, build_memory: 848588159.4736, f_measure: 0.7996, kappa: 0.5225, kb_relative_information_score: 3107.6586, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7992, predictive_accuracy: 0.8049, prior_entropy: 0.8937, recall: 0.8049, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7836, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, build_cpu_time: 3.8619, build_memory: 984675053.8691, f_measure: 0.7925, kappa: 0.5008, kb_relative_information_score: 2710.4996, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7972, predictive_accuracy: 0.8027, prior_entropy: 0.8937, recall: 0.8027, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7921, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, build_cpu_time: 7.3695, build_memory: 1022286803.418, f_measure: 0.7955, kappa: 0.5083, kb_relative_information_score: 2714.6553, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7996, predictive_accuracy: 0.8051, prior_entropy: 0.8937, recall: 0.8051, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7886, scimark_benchmark: 941.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, build_cpu_time: 100.2977, build_memory: 1325812588.3975, f_measure: 0.7973, kappa: 0.512, kb_relative_information_score: 2650.4966, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8028, predictive_accuracy: 0.8075, prior_entropy: 0.8937, recall: 0.8075, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7875, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, build_cpu_time: 0.7024, build_memory: 657722287.6592, f_measure: 0.7232, kappa: 0.3299, kb_relative_information_score: 2535.3037, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7289, predictive_accuracy: 0.7439, prior_entropy: 0.8937, recall: 0.7439, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9988, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, build_cpu_time: 0.7027, build_memory: 334064458.4902, f_measure: 0.7232, kappa: 0.3299, kb_relative_information_score: 2535.3037, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7289, predictive_accuracy: 0.7439, prior_entropy: 0.8937, recall: 0.7439, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9988, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, build_cpu_time: 1.7407, build_memory: 376328604.166, f_measure: 0.7236, kappa: 0.3312, kb_relative_information_score: 2527.5346, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7281, predictive_accuracy: 0.7433, prior_entropy: 0.8937, recall: 0.7433, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9909, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, build_cpu_time: 1.5978, build_memory: 365886445.9766, f_measure: 0.7236, kappa: 0.3312, kb_relative_information_score: 2527.5346, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7281, predictive_accuracy: 0.7433, prior_entropy: 0.8937, recall: 0.7433, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9909, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, build_cpu_time: 1.6635, build_memory: 915714627.2363, f_measure: 0.7236, kappa: 0.3312, kb_relative_information_score: 2527.5346, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7281, predictive_accuracy: 0.7433, prior_entropy: 0.8937, recall: 0.7433, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9909, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, build_cpu_time: 1.4867, build_memory: 553156029.623, f_measure: 0.7236, kappa: 0.3312, kb_relative_information_score: 2527.5346, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7281, predictive_accuracy: 0.7433, prior_entropy: 0.8937, recall: 0.7433, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9909, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, build_cpu_time: 2.7374, build_memory: 163597405.374, f_measure: 0.725, kappa: 0.3347, kb_relative_information_score: 2535.5603, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7299, predictive_accuracy: 0.7448, prior_entropy: 0.8937, recall: 0.7448, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9855, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, build_cpu_time: 2.7371, build_memory: 166376902.7725, f_measure: 0.725, kappa: 0.3347, kb_relative_information_score: 2535.5603, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7299, predictive_accuracy: 0.7448, prior_entropy: 0.8937, recall: 0.7448, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9855, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, build_cpu_time: 2.8234, build_memory: 908312355.1875, f_measure: 0.725, kappa: 0.3347, kb_relative_information_score: 2535.5603, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7299, predictive_accuracy: 0.7448, prior_entropy: 0.8937, recall: 0.7448, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9855, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, build_cpu_time: 23.1805, build_memory: 654207883.5449, f_measure: 0.8025, kappa: 0.5273, kb_relative_information_score: 2996.0442, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.804, predictive_accuracy: 0.8096, prior_entropy: 0.8937, recall: 0.8096, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7836, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 8.3731, build_memory: 1191731596.7012, f_measure: 0.793, kappa: 0.5032, kb_relative_information_score: 3571.4336, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7956, predictive_accuracy: 0.8018, prior_entropy: 0.8937, recall: 0.8018, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8214, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, build_cpu_time: 0.7618, build_memory: 142937755.0146, f_measure: 0.8144, kappa: 0.5579, kb_relative_information_score: 3628.6489, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8146, predictive_accuracy: 0.8193, prior_entropy: 0.8937, recall: 0.8193, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7609, scimark_benchmark: 889.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 4342.0968, build_memory: 140522221.167, f_measure: 0.8174, kappa: 0.5642, kb_relative_information_score: 3889.2372, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8182, predictive_accuracy: 0.8228, prior_entropy: 0.8937, recall: 0.8228, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7523, scimark_benchmark: 944.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 8683.2447, build_memory: 573815475.1885, f_measure: 0.817, kappa: 0.5633, kb_relative_information_score: 3889.2359, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8178, predictive_accuracy: 0.8224, prior_entropy: 0.8937, recall: 0.8224, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7519, scimark_benchmark: 928.5868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, build_cpu_time: 0.2895, build_memory: 893547740.499, f_measure: 0.7405, kappa: 0.3726, kb_relative_information_score: 1433.0504, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7463, predictive_accuracy: 0.7582, prior_entropy: 0.8937, recall: 0.7582, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9097, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, build_cpu_time: 0.1218, build_memory: 909287271.2002, f_measure: 0.7436, kappa: 0.3807, kb_relative_information_score: 1432.2162, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7477, predictive_accuracy: 0.7595, prior_entropy: 0.8937, recall: 0.7595, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.421, root_relative_squared_error: 0.91, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, build_cpu_time: 15.7084, build_memory: 737168682.8672, f_measure: 0.8057, kappa: 0.5332, kb_relative_information_score: 3648.8913, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8098, predictive_accuracy: 0.8143, prior_entropy: 0.8937, recall: 0.8143, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8194, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, build_cpu_time: 0.0723, build_memory: 1061729418.4981, f_measure: 0.7403, kappa: 0.3735, kb_relative_information_score: 1428.5221, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7431, predictive_accuracy: 0.7556, prior_entropy: 0.8937, recall: 0.7556, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9107, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, build_cpu_time: 16.1657, build_memory: 702493433.1318, f_measure: 0.8074, kappa: 0.5376, kb_relative_information_score: 3786.6162, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8112, predictive_accuracy: 0.8157, prior_entropy: 0.8937, recall: 0.8157, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.831, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, build_cpu_time: 0.0365, build_memory: 2950378108.1338, f_measure: 0.7418, kappa: 0.379, kb_relative_information_score: 1416.2998, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7421, predictive_accuracy: 0.7543, prior_entropy: 0.8937, recall: 0.7543, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9121, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, build_cpu_time: 0.0126, build_memory: 2718087829.8955, f_measure: 0.7414, kappa: 0.3753, kb_relative_information_score: 1421.2349, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.746, predictive_accuracy: 0.7581, prior_entropy: 0.8937, recall: 0.7581, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9118, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, build_cpu_time: 218.1776, build_memory: 2342377279.293, f_measure: 0.7944, kappa: 0.5128, kb_relative_information_score: 3221.9239, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7931, predictive_accuracy: 0.7981, prior_entropy: 0.8937, recall: 0.7981, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.803, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, build_cpu_time: 512.5467, build_memory: 180917831.2549, f_measure: 0.8047, kappa: 0.5367, kb_relative_information_score: 3295.0892, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8036, predictive_accuracy: 0.8084, prior_entropy: 0.8937, recall: 0.8084, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7833, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, build_cpu_time: 826.9887, build_memory: 1767762075.4043, f_measure: 0.808, kappa: 0.5434, kb_relative_information_score: 3334.499, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8074, predictive_accuracy: 0.8124, prior_entropy: 0.8937, recall: 0.8124, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7739, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, build_cpu_time: 1677.5387, build_memory: 331505416.543, f_measure: 0.811, kappa: 0.5506, kb_relative_information_score: 3347.5167, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8105, predictive_accuracy: 0.8153, prior_entropy: 0.8937, recall: 0.8153, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7698, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, build_cpu_time: 3199.2526, build_memory: 1307127679.333, f_measure: 0.8083, kappa: 0.5447, kb_relative_information_score: 3343.647, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8076, predictive_accuracy: 0.8124, prior_entropy: 0.8937, recall: 0.8124, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7684, scimark_benchmark: 944.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, build_cpu_time: 242.0278, build_memory: 518262657.667, f_measure: 0.8064, kappa: 0.5403, kb_relative_information_score: 4309.7239, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8056, predictive_accuracy: 0.8105, prior_entropy: 0.8937, recall: 0.8105, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8952, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, build_cpu_time: 136.1148, build_memory: 922784518.0889, f_measure: 0.8057, kappa: 0.5391, kb_relative_information_score: 4310.8736, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8048, predictive_accuracy: 0.8096, prior_entropy: 0.8937, recall: 0.8096, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8927, scimark_benchmark: 945.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, build_cpu_time: 69.1252, build_memory: 755781788.9775, f_measure: 0.8048, kappa: 0.5359, kb_relative_information_score: 4295.0271, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8042, predictive_accuracy: 0.8093, prior_entropy: 0.8937, recall: 0.8093, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8939, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, build_cpu_time: 38.567, build_memory: 335888574.4834, f_measure: 0.8048, kappa: 0.5365, kb_relative_information_score: 4241.8422, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.804, predictive_accuracy: 0.809, prior_entropy: 0.8937, recall: 0.809, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.9027, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, build_cpu_time: 19.9224, build_memory: 267371818.7139, f_measure: 0.7981, kappa: 0.5194, kb_relative_information_score: 4143.109, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7975, predictive_accuracy: 0.8032, prior_entropy: 0.8937, recall: 0.8032, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9122, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, build_cpu_time: 777.3459, build_memory: 1778563611.4873, f_measure: 0.8008, kappa: 0.5209, kb_relative_information_score: 3038.3752, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.806, predictive_accuracy: 0.8105, prior_entropy: 0.8937, recall: 0.8105, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7824, scimark_benchmark: 943.0423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, build_cpu_time: 1380.9007, build_memory: 560216387.2617, f_measure: 0.8005, kappa: 0.52, kb_relative_information_score: 3051.8711, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8056, predictive_accuracy: 0.8102, prior_entropy: 0.8937, recall: 0.8102, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.78, scimark_benchmark: 946.6811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, build_cpu_time: 96.9929, build_memory: 1132419967.9522, f_measure: 0.8074, kappa: 0.5417, kb_relative_information_score: 3194.0019, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8069, predictive_accuracy: 0.812, prior_entropy: 0.8937, recall: 0.812, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7745, scimark_benchmark: 945.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 50.6308, build_memory: 630167583.1396, f_measure: 0.805, kappa: 0.5362, kb_relative_information_score: 3195.0307, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8045, predictive_accuracy: 0.8097, prior_entropy: 0.8937, recall: 0.8097, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7766, scimark_benchmark: 938.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 48.2447, build_memory: 718910721.5645, f_measure: 0.805, kappa: 0.5362, kb_relative_information_score: 3195.0307, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8045, predictive_accuracy: 0.8097, prior_entropy: 0.8937, recall: 0.8097, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7766, scimark_benchmark: 928.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, build_cpu_time: 23.1521, build_memory: 2244129871.3799, f_measure: 0.8021, kappa: 0.5292, kb_relative_information_score: 3188.7115, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8015, predictive_accuracy: 0.8069, prior_entropy: 0.8937, recall: 0.8069, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7815, scimark_benchmark: 924.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, build_cpu_time: 12.019, build_memory: 1550589981.0244, f_measure: 0.7984, kappa: 0.5216, kb_relative_information_score: 3159.222, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7973, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.366, root_relative_squared_error: 0.791, scimark_benchmark: 949.7065,

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

OpenML bootcamp

From your own software

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

OpenML APIs