Task
Supervised Classification on ipums_la_97-small

Supervised Classification on ipums_la_97-small

Task 3517 Supervised Classification ipums_la_97-small 269 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, build_cpu_time: 0.3022, build_memory: 914474755.792, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, build_cpu_time: 0.3295, build_memory: 598312696.7864, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, build_cpu_time: 0.3057, build_memory: 265788776.8343, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, build_cpu_time: 4.7251, build_memory: 540890700.6821, f_measure: 0.2916, kappa: 0.2022, kb_relative_information_score: 1264.6613, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3849, predictive_accuracy: 0.3991, prior_entropy: 2.7591, recall: 0.3991, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.9549, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, build_cpu_time: 0.2752, build_memory: 697797202.9862, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, build_cpu_time: 1644.9838, build_memory: 717160704.571, f_measure: 0.4205, kappa: 0.3094, kb_relative_information_score: 1392.7482, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4132, predictive_accuracy: 0.433, prior_entropy: 2.7591, recall: 0.433, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.307, root_relative_squared_error: 0.9518, scimark_benchmark: 905.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, build_cpu_time: 2118.4449, build_memory: 1122432784.4616, f_measure: 0.3579, kappa: 0.3244, kb_relative_information_score: 1390.4877, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3262, predictive_accuracy: 0.4761, prior_entropy: 2.7591, recall: 0.4761, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.947, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, build_cpu_time: 0.278, build_memory: 683822505.5626, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 1337.8431, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.3934, kappa: 0.3229, kb_relative_information_score: 2193.1139, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3967, predictive_accuracy: 0.4646, prior_entropy: 2.7591, recall: 0.4646, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.9048, scimark_benchmark: 1370.6464, usercpu_time_millis: 8170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.1195, kb_relative_information_score: 0.4109, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.0762, predictive_accuracy: 0.2761, prior_entropy: 2.7591, recall: 0.2761, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3226, root_relative_squared_error: 1, scimark_benchmark: 1329.0992, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.3422, kappa: 0.2074, kb_relative_information_score: 1747.4142, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3528, predictive_accuracy: 0.3357, prior_entropy: 2.7591, recall: 0.3357, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.2563, scimark_benchmark: 1333.5799, usercpu_time_millis: 5900550, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 5900030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.3016, kappa: 0.2028, kb_relative_information_score: 1794.0245, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3838, predictive_accuracy: 0.3076, prior_entropy: 2.7591, recall: 0.3076, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.385, root_relative_squared_error: 1.1936, scimark_benchmark: 889.3151, usercpu_time_millis: 150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.3016, kappa: 0.2028, kb_relative_information_score: 1794.0245, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3838, predictive_accuracy: 0.3076, prior_entropy: 2.7591, recall: 0.3076, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.385, root_relative_squared_error: 1.1936, scimark_benchmark: 1341.994, usercpu_time_millis: 410, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1339.7143, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.3451, kappa: 0.3135, kb_relative_information_score: 1754.1493, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3184, predictive_accuracy: 0.4687, prior_entropy: 2.7591, recall: 0.4687, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9094, scimark_benchmark: 937.5996, usercpu_time_millis: 2675460, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2675010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.218, kb_relative_information_score: 1860.5389, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1818, predictive_accuracy: 0.4029, prior_entropy: 2.7591, recall: 0.4029, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1976, scimark_benchmark: 1301.1661, usercpu_time_millis: 235870, usercpu_time_millis_testing: 77510, usercpu_time_millis_training: 158360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.2525, kappa: 0.1001, kb_relative_information_score: 1079.9532, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2455, predictive_accuracy: 0.2743, prior_entropy: 2.7591, recall: 0.2743, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.0397, scimark_benchmark: 1176.0388, usercpu_time_millis: 19400, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 19320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.2519, kappa: 0.0989, kb_relative_information_score: 1087.7387, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.246, predictive_accuracy: 0.2737, prior_entropy: 2.7591, recall: 0.2737, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0375, scimark_benchmark: 1330.8781, usercpu_time_millis: 47920, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 47640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.2531, kappa: 0.0998, kb_relative_information_score: 1083.6453, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2481, predictive_accuracy: 0.2747, prior_entropy: 2.7591, recall: 0.2747, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.037, scimark_benchmark: 1316.5986, usercpu_time_millis: 83240, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 82900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.2494, kappa: 0.0954, kb_relative_information_score: 1082.1573, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2438, predictive_accuracy: 0.2715, prior_entropy: 2.7591, recall: 0.2715, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0367, scimark_benchmark: 1337.6765, usercpu_time_millis: 211760, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 210730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.4148, kappa: 0.3239, kb_relative_information_score: 2598.4332, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4075, predictive_accuracy: 0.4562, prior_entropy: 2.7591, recall: 0.4562, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9059, scimark_benchmark: 1354.686, usercpu_time_millis: 8140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.3268, kappa: 0.2679, kb_relative_information_score: 1202.5405, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3539, predictive_accuracy: 0.438, prior_entropy: 2.7591, recall: 0.438, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9394, scimark_benchmark: 1308.3432, usercpu_time_millis: 37790, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 37420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2114.1265, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9137, scimark_benchmark: 1301.7387, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.1845, kappa: 0.0438, kb_relative_information_score: 268.7504, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2646, predictive_accuracy: 0.2811, prior_entropy: 2.7591, recall: 0.2811, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3296, root_relative_squared_error: 1.0217, scimark_benchmark: 1316.7714, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.3229, kappa: 0.1897, kb_relative_information_score: 1637.7267, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3205, predictive_accuracy: 0.3273, prior_entropy: 2.7591, recall: 0.3273, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.2712, scimark_benchmark: 1327.9121, usercpu_time_millis: 36100, usercpu_time_millis_testing: 36100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.3317, kappa: 0.2002, kb_relative_information_score: 1860.4523, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3246, predictive_accuracy: 0.3425, prior_entropy: 2.7591, recall: 0.3425, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3786, root_relative_squared_error: 1.1735, scimark_benchmark: 889.3151, usercpu_time_millis: 42460, usercpu_time_millis_testing: 42460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.3087, kappa: 0.1708, kb_relative_information_score: 1628.8289, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.308, predictive_accuracy: 0.31, prior_entropy: 2.7591, recall: 0.31, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3892, root_relative_squared_error: 1.2066, scimark_benchmark: 1288.1375, usercpu_time_millis: 490200, usercpu_time_millis_testing: 490200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.3516, kappa: 0.2698, kb_relative_information_score: 2302.6508, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3534, predictive_accuracy: 0.4234, prior_entropy: 2.7591, recall: 0.4234, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0472, scimark_benchmark: 896.937, usercpu_time_millis: 6190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.2457, kappa: 0.0947, kb_relative_information_score: 1106.314, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2494, predictive_accuracy: 0.2426, prior_entropy: 2.7591, recall: 0.2426, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.3071, scimark_benchmark: 1346.4887, usercpu_time_millis: 2510360, usercpu_time_millis_testing: 280180, usercpu_time_millis_training: 2230180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.3382, kappa: 0.2984, kb_relative_information_score: 2402.148, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3163, predictive_accuracy: 0.4548, prior_entropy: 2.7591, recall: 0.4548, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9115, scimark_benchmark: 1347.388, usercpu_time_millis: 12910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.3975, kappa: 0.3127, kb_relative_information_score: 2533.6117, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3982, predictive_accuracy: 0.4518, prior_entropy: 2.7591, recall: 0.4518, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3375, root_relative_squared_error: 1.0461, scimark_benchmark: 1307.9718, usercpu_time_millis: 35768440, usercpu_time_millis_testing: 35768300, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1314.7093, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.4062, kappa: 0.3288, kb_relative_information_score: 2575.2546, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4018, predictive_accuracy: 0.4659, prior_entropy: 2.7591, recall: 0.4659, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3439, root_relative_squared_error: 1.066, scimark_benchmark: 1349.9741, usercpu_time_millis: 775220, usercpu_time_millis_testing: 4170, usercpu_time_millis_training: 771050,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 922.5036, usercpu_time_millis: 1590, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 945.0194, usercpu_time_millis: 1760, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.3706, kappa: 0.3157, kb_relative_information_score: 2461.8765, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3517, predictive_accuracy: 0.4623, prior_entropy: 2.7591, recall: 0.4623, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.892, scimark_benchmark: 935.8024, usercpu_time_millis: 312560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 312550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 907.1091, usercpu_time_millis: 400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.2801, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 933.0918, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.3078, kappa: 0.2898, kb_relative_information_score: 2043.6414, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2682, predictive_accuracy: 0.4545, prior_entropy: 2.7591, recall: 0.4545, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.903, scimark_benchmark: 941.9549, usercpu_time_millis: 19540, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 19050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1195, kb_relative_information_score: 944.1911, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.0762, predictive_accuracy: 0.2761, prior_entropy: 2.7591, recall: 0.2761, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4254, root_relative_squared_error: 1.3187, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 940.0055, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.3572, kappa: 0.2952, kb_relative_information_score: 2235.5602, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3569, predictive_accuracy: 0.4481, prior_entropy: 2.7591, recall: 0.4481, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.9078, scimark_benchmark: 936.1714, usercpu_time_millis: 770, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.4301, kappa: 0.334, kb_relative_information_score: 2651.3453, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4236, predictive_accuracy: 0.461, prior_entropy: 2.7591, recall: 0.461, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.9074, scimark_benchmark: 926.5859, usercpu_time_millis: 3854350, usercpu_time_millis_testing: 773100, usercpu_time_millis_training: 3081250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1322.7257, usercpu_time_millis: 1280, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.3699, kappa: 0.2811, kb_relative_information_score: 1460.269, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4014, predictive_accuracy: 0.436, prior_entropy: 2.7591, recall: 0.436, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9316, scimark_benchmark: 1337.3179, usercpu_time_millis: 10560, usercpu_time_millis_testing: 1650, usercpu_time_millis_training: 8910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.3298, kappa: 0.2789, kb_relative_information_score: 1237.5265, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3522, predictive_accuracy: 0.4465, prior_entropy: 2.7591, recall: 0.4465, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.9364, scimark_benchmark: 1278.9821, usercpu_time_millis: 67890, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 67020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1349.9643, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1352.9931, usercpu_time_millis: 1140, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1303.9481, usercpu_time_millis: 1300, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1330.2425, usercpu_time_millis: 1770, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1292.1745, usercpu_time_millis: 1560, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1320.1171, usercpu_time_millis: 1050, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.218, kb_relative_information_score: 1860.5389, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1818, predictive_accuracy: 0.4029, prior_entropy: 2.7591, recall: 0.4029, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1976, scimark_benchmark: 1342.6744, usercpu_time_millis: 279160, usercpu_time_millis_testing: 111120, usercpu_time_millis_training: 168040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.3904, kappa: 0.3255, kb_relative_information_score: 2471.7576, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3892, predictive_accuracy: 0.4679, prior_entropy: 2.7591, recall: 0.4679, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.89, scimark_benchmark: 1324.6608, usercpu_time_millis: 644360, usercpu_time_millis_testing: 2810, usercpu_time_millis_training: 641550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.3706, kappa: 0.3157, kb_relative_information_score: 2461.8765, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3517, predictive_accuracy: 0.4623, prior_entropy: 2.7591, recall: 0.4623, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.892, scimark_benchmark: 1331.0047, usercpu_time_millis: 213970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 213960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.3699, kappa: 0.2811, kb_relative_information_score: 1460.269, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4014, predictive_accuracy: 0.436, prior_entropy: 2.7591, recall: 0.436, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9316, scimark_benchmark: 1336.5541, usercpu_time_millis: 14060, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 12150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1318.4315, usercpu_time_millis: 1250, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 550,

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