Task
Supervised Classification on profb

Supervised Classification on profb

Task 4266 Supervised Classification profb 214 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.543, kappa: 0.0044, kb_relative_information_score: 2.8881, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5696, predictive_accuracy: 0.6621, prior_entropy: 0.9188, recall: 0.6621, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0051, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.6217, kappa: 0.1258, kb_relative_information_score: -119.6669, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6275, predictive_accuracy: 0.6643, prior_entropy: 0.9188, recall: 0.6643, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.989, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6268, kappa: 0.136, kb_relative_information_score: 407.5763, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6288, predictive_accuracy: 0.6629, prior_entropy: 0.9188, recall: 0.6629, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9974, scimark_benchmark: 934.3687, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.5364, kappa: -0.0628, kb_relative_information_score: -313.5333, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5126, predictive_accuracy: 0.6055, prior_entropy: 0.9188, recall: 0.6055, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.056, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7125, kappa: 0.3386, kb_relative_information_score: 1782.9426, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.7113, predictive_accuracy: 0.7231, prior_entropy: 0.9188, recall: 0.7231, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9262, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5978, kappa: 0.0806, kb_relative_information_score: 1348.484, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6141, predictive_accuracy: 0.6616, prior_entropy: 0.9188, recall: 0.6616, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5817, root_relative_squared_error: 1.234, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5978, kappa: 0.0806, kb_relative_information_score: 1348.484, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6141, predictive_accuracy: 0.6616, prior_entropy: 0.9188, recall: 0.6616, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5817, root_relative_squared_error: 1.234, scimark_benchmark: 941.3847, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.6122, kappa: 0.1066, kb_relative_information_score: 412.3536, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6214, predictive_accuracy: 0.6625, prior_entropy: 0.9188, recall: 0.6625, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9786, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5683, kappa: 0.0029, kb_relative_information_score: -111.3264, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5572, predictive_accuracy: 0.6183, prior_entropy: 0.9188, recall: 0.6183, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0286, scimark_benchmark: 937.5117, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.543, kappa: 0.0044, kb_relative_information_score: 2.8881, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5696, predictive_accuracy: 0.6621, prior_entropy: 0.9188, recall: 0.6621, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0051, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.6217, kappa: 0.1258, kb_relative_information_score: -119.6669, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6275, predictive_accuracy: 0.6643, prior_entropy: 0.9188, recall: 0.6643, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.989, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6268, kappa: 0.136, kb_relative_information_score: 407.5763, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6288, predictive_accuracy: 0.6629, prior_entropy: 0.9188, recall: 0.6629, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9974, scimark_benchmark: 938.1282, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5978, kappa: 0.0806, kb_relative_information_score: 1348.484, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6141, predictive_accuracy: 0.6616, prior_entropy: 0.9188, recall: 0.6616, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5817, root_relative_squared_error: 1.234, scimark_benchmark: 906.0979, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.6122, kappa: 0.1066, kb_relative_information_score: 412.3536, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6214, predictive_accuracy: 0.6625, prior_entropy: 0.9188, recall: 0.6625, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9786, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.5364, kappa: -0.0628, kb_relative_information_score: -313.5333, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5126, predictive_accuracy: 0.6055, prior_entropy: 0.9188, recall: 0.6055, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.056, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5683, kappa: 0.0029, kb_relative_information_score: -111.3264, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5572, predictive_accuracy: 0.6183, prior_entropy: 0.9188, recall: 0.6183, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0286, scimark_benchmark: 730.6551, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.6947, kappa: 0.2935, kb_relative_information_score: 934.3299, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.7161, predictive_accuracy: 0.7256, prior_entropy: 0.9188, recall: 0.7256, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9231, scimark_benchmark: 938.1282, usercpu_time_millis: 18770, usercpu_time_millis_testing: 3690, usercpu_time_millis_training: 15080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6969, kappa: 0.2984, kb_relative_information_score: 925.3018, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.7154, predictive_accuracy: 0.7259, prior_entropy: 0.9188, recall: 0.7259, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.436, root_relative_squared_error: 0.925, scimark_benchmark: 934.695, usercpu_time_millis: 9970, usercpu_time_millis_testing: 1920, usercpu_time_millis_training: 8050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6882, kappa: 0.2779, kb_relative_information_score: 901.023, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.7023, predictive_accuracy: 0.7167, prior_entropy: 0.9188, recall: 0.7167, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9307, scimark_benchmark: 899.0468, usercpu_time_millis: 4380, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 3810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6858, kappa: 0.2723, kb_relative_information_score: 904.6386, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6933, predictive_accuracy: 0.7103, prior_entropy: 0.9188, recall: 0.7103, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9357, scimark_benchmark: 945.0448, usercpu_time_millis: 2250, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.6774, kappa: 0.2536, kb_relative_information_score: 856.2323, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6788, predictive_accuracy: 0.6978, prior_entropy: 0.9188, recall: 0.6978, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9517, scimark_benchmark: 935.6052, usercpu_time_millis: 1240, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6544, kappa: 0.2034, kb_relative_information_score: 861.4378, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6502, predictive_accuracy: 0.6693, prior_entropy: 0.9188, recall: 0.6693, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9836, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6544, kappa: 0.2034, kb_relative_information_score: 861.4378, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6502, predictive_accuracy: 0.6693, prior_entropy: 0.9188, recall: 0.6693, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9836, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6469, kappa: 0.1858, kb_relative_information_score: 803.2449, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6423, predictive_accuracy: 0.6626, prior_entropy: 0.9188, recall: 0.6626, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9883, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.628, kappa: 0.1386, kb_relative_information_score: 479.0133, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6242, predictive_accuracy: 0.6542, prior_entropy: 0.9188, recall: 0.6542, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0073, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.6164, kappa: 0.1116, kb_relative_information_score: 370.3701, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6139, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9957, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5333, kb_relative_information_score: -2.3721, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.579, kappa: 0.0549, kb_relative_information_score: 1297.8082, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6144, predictive_accuracy: 0.6653, prior_entropy: 0.9188, recall: 0.6653, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.079, scimark_benchmark: 938.3115, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.5884, kappa: 0.0655, kb_relative_information_score: 1207.0058, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6102, predictive_accuracy: 0.6618, prior_entropy: 0.9188, recall: 0.6618, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.063, scimark_benchmark: 941.9549, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.5562, kappa: 0.0222, kb_relative_information_score: 1220.5946, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5971, predictive_accuracy: 0.6634, prior_entropy: 0.9188, recall: 0.6634, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0838, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.5608, kappa: 0.0272, kb_relative_information_score: 1124.4476, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5978, predictive_accuracy: 0.6626, prior_entropy: 0.9188, recall: 0.6626, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0575, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.5414, kappa: 0.0038, kb_relative_information_score: 1209.5359, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5703, predictive_accuracy: 0.6629, prior_entropy: 0.9188, recall: 0.6629, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0852, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5713, f_measure: 0.6485, kappa: 0.1863, kb_relative_information_score: 642.3464, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6475, predictive_accuracy: 0.6728, prior_entropy: 0.9188, recall: 0.6728, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.041, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5683, kappa: 0.0029, kb_relative_information_score: -111.3264, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5572, predictive_accuracy: 0.6183, prior_entropy: 0.9188, recall: 0.6183, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0286, scimark_benchmark: 1374.9737, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.6122, kappa: 0.1066, kb_relative_information_score: 412.3536, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6214, predictive_accuracy: 0.6625, prior_entropy: 0.9188, recall: 0.6625, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9786, scimark_benchmark: 1347.1763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7125, kappa: 0.3386, kb_relative_information_score: 1782.9416, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.7113, predictive_accuracy: 0.7231, prior_entropy: 0.9188, recall: 0.7231, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9262, scimark_benchmark: 1309.2287, usercpu_time_millis: 17440, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 17250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5683, kappa: 0.0029, kb_relative_information_score: -111.3264, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5572, predictive_accuracy: 0.6183, prior_entropy: 0.9188, recall: 0.6183, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0286, scimark_benchmark: 1354.5533, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 1342.2845,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.6156, kappa: 0.1105, kb_relative_information_score: 425.8423, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6158, predictive_accuracy: 0.6542, prior_entropy: 0.9188, recall: 0.6542, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.486, root_relative_squared_error: 1.031, scimark_benchmark: 1330.9181, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5683, kappa: 0.0029, kb_relative_information_score: -111.3264, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.5572, predictive_accuracy: 0.6183, prior_entropy: 0.9188, recall: 0.6183, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0286, scimark_benchmark: 1320.8283, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.5352, kappa: 0.0018, kb_relative_information_score: 276.7326, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6002, predictive_accuracy: 0.6665, prior_entropy: 0.9188, recall: 0.6665, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9731, scimark_benchmark: 1339.3082, usercpu_time_millis: 510, usercpu_time_millis_testing: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.6217, kappa: 0.1258, kb_relative_information_score: -119.6669, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6275, predictive_accuracy: 0.6643, prior_entropy: 0.9188, recall: 0.6643, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.989, scimark_benchmark: 1364.991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.6475, kappa: 0.1839, kb_relative_information_score: 613.4315, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6462, predictive_accuracy: 0.6716, prior_entropy: 0.9188, recall: 0.6716, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0464, scimark_benchmark: 1364.991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6268, kappa: 0.136, kb_relative_information_score: 407.5763, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6288, predictive_accuracy: 0.6629, prior_entropy: 0.9188, recall: 0.6629, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9974, scimark_benchmark: 1325.3966, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5978, kappa: 0.0806, kb_relative_information_score: 1348.484, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6141, predictive_accuracy: 0.6616, prior_entropy: 0.9188, recall: 0.6616, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5817, root_relative_squared_error: 1.234, scimark_benchmark: 1317.2327, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5978, kappa: 0.0806, kb_relative_information_score: 1348.484, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6141, predictive_accuracy: 0.6616, prior_entropy: 0.9188, recall: 0.6616, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5817, root_relative_squared_error: 1.234, scimark_benchmark: 1280.9535, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7125, kappa: 0.3386, kb_relative_information_score: 1782.9416, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.7113, predictive_accuracy: 0.7231, prior_entropy: 0.9188, recall: 0.7231, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9262, scimark_benchmark: 1303.3869, usercpu_time_millis: 21630, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 21440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6157, kappa: 0.1107, kb_relative_information_score: 280.316, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 6720, precision: 0.6162, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0128, scimark_benchmark: 1371.174,

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