OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 1791 Supervised Classification colic 331 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8468, kappa: 0.6681, kb_relative_information_score: 780.5339, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8479, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7276, scimark_benchmark: 1360.6367, usercpu_time_millis: 440, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.666, kappa: 0.2718, kb_relative_information_score: 577.5844, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.6793, predictive_accuracy: 0.6897, prior_entropy: 0.9509, recall: 0.6897, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1541, scimark_benchmark: 1329.8008, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8012, kappa: 0.5726, kb_relative_information_score: 954.754, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8009, predictive_accuracy: 0.8016, prior_entropy: 0.9509, recall: 0.8016, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8198, scimark_benchmark: 1322.7257, usercpu_time_millis: 1060, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8468, kappa: 0.6681, kb_relative_information_score: 780.5339, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8479, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7276, scimark_benchmark: 1322.7257, usercpu_time_millis: 400, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8028, kappa: 0.5734, kb_relative_information_score: 876.1703, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8026, predictive_accuracy: 0.8049, prior_entropy: 0.9509, recall: 0.8049, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7867, scimark_benchmark: 1341.5795, usercpu_time_millis: 2460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.811, kappa: 0.5958, kb_relative_information_score: 981.4537, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8118, predictive_accuracy: 0.8103, prior_entropy: 0.9509, recall: 0.8103, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8397, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8479, kappa: 0.6703, kb_relative_information_score: 928.2029, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8491, predictive_accuracy: 0.85, prior_entropy: 0.9509, recall: 0.85, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7256, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.811, kappa: 0.5958, kb_relative_information_score: 981.4537, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8118, predictive_accuracy: 0.8103, prior_entropy: 0.9509, recall: 0.8103, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8397, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.811, kappa: 0.5958, kb_relative_information_score: 981.4537, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8118, predictive_accuracy: 0.8103, prior_entropy: 0.9509, recall: 0.8103, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8397, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7846, kappa: 0.5373, kb_relative_information_score: 934.7451, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7844, predictive_accuracy: 0.7848, prior_entropy: 0.9509, recall: 0.7848, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8853, scimark_benchmark: 1357.5655, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8506, kappa: 0.6751, kb_relative_information_score: 954.9853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 0.9509, recall: 0.8538, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7364, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8506, kappa: 0.6751, kb_relative_information_score: 954.9853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 0.9509, recall: 0.8538, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7364, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.829, kappa: 0.6305, kb_relative_information_score: 807.7044, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8288, predictive_accuracy: 0.8304, prior_entropy: 0.9509, recall: 0.8304, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7647, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7938, kappa: 0.5611, kb_relative_information_score: 936.9192, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7964, predictive_accuracy: 0.7924, prior_entropy: 0.9509, recall: 0.7924, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9022, scimark_benchmark: 1327.2954, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7923, kappa: 0.5542, kb_relative_information_score: 932.6663, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7923, predictive_accuracy: 0.7924, prior_entropy: 0.9509, recall: 0.7924, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8514, scimark_benchmark: 1327.2954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8457, kappa: 0.6657, kb_relative_information_score: 922.7506, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8468, predictive_accuracy: 0.8478, prior_entropy: 0.9509, recall: 0.8478, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7219, scimark_benchmark: 1329.8902, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8447, kappa: 0.6622, kb_relative_information_score: 663.0872, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8493, predictive_accuracy: 0.8484, prior_entropy: 0.9509, recall: 0.8484, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7581, scimark_benchmark: 1333.8751, usercpu_time_millis: 460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.806, kappa: 0.5825, kb_relative_information_score: 904.9178, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8056, predictive_accuracy: 0.8065, prior_entropy: 0.9509, recall: 0.8065, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8037, scimark_benchmark: 1331.2332, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7116, kappa: 0.3785, kb_relative_information_score: 654.4176, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7106, predictive_accuracy: 0.713, prior_entropy: 0.9509, recall: 0.713, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.0802, scimark_benchmark: 1371.9645, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8403, kappa: 0.6527, kb_relative_information_score: 666.5603, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8446, predictive_accuracy: 0.844, prior_entropy: 0.9509, recall: 0.844, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7597, scimark_benchmark: 1348.7888, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8506, kappa: 0.6751, kb_relative_information_score: 954.9853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 0.9509, recall: 0.8538, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7364, scimark_benchmark: 1331.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8082, kappa: 0.5874, kb_relative_information_score: 813.1088, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8079, predictive_accuracy: 0.8087, prior_entropy: 0.9509, recall: 0.8087, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7977, scimark_benchmark: 1337.0272, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.845, kappa: 0.6626, kb_relative_information_score: 656.9347, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8504, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7616, scimark_benchmark: 1339.8573, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8506, kappa: 0.6751, kb_relative_information_score: 954.9853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 0.9509, recall: 0.8538, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7364, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.806, kappa: 0.5825, kb_relative_information_score: 904.9178, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8056, predictive_accuracy: 0.8065, prior_entropy: 0.9509, recall: 0.8065, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8037, scimark_benchmark: 1281.7531, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.811, kappa: 0.5958, kb_relative_information_score: 981.4537, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8118, predictive_accuracy: 0.8103, prior_entropy: 0.9509, recall: 0.8103, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8397, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.7272, kappa: 0.4331, kb_relative_information_score: 712.3368, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7426, predictive_accuracy: 0.7228, prior_entropy: 0.9509, recall: 0.7228, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0907, scimark_benchmark: 1330.6247, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7499, kappa: 0.4644, kb_relative_information_score: 788.7878, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7505, predictive_accuracy: 0.7495, prior_entropy: 0.9509, recall: 0.7495, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9732, scimark_benchmark: 1322.4968, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7505, kappa: 0.4705, kb_relative_information_score: 795.801, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7545, predictive_accuracy: 0.7484, prior_entropy: 0.9509, recall: 0.7484, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9812, scimark_benchmark: 1334.4761, usercpu_time_millis: 630, usercpu_time_millis_testing: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.509, kappa: 0.0159, kb_relative_information_score: -206.3944, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.5768, predictive_accuracy: 0.6293, prior_entropy: 0.9509, recall: 0.6293, relative_absolute_error: 1.068, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0317, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.8212, kappa: 0.6116, kb_relative_information_score: 1125.43, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8231, predictive_accuracy: 0.8245, prior_entropy: 0.9509, recall: 0.8245, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.419, root_relative_squared_error: 0.868, scimark_benchmark: 765.566, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7992, kappa: 0.5687, kb_relative_information_score: 903.5703, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.799, predictive_accuracy: 0.7995, prior_entropy: 0.9509, recall: 0.7995, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8288, scimark_benchmark: 1270.2428, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8417, kappa: 0.6574, kb_relative_information_score: 916.7795, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 0.9509, recall: 0.8435, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7256, scimark_benchmark: 1327.9121, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8123, kappa: 0.5928, kb_relative_information_score: 900.3293, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8132, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7888, scimark_benchmark: 1442.7264, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7984, kappa: 0.5639, kb_relative_information_score: 921.5482, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7982, predictive_accuracy: 0.8005, prior_entropy: 0.9509, recall: 0.8005, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8187, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6901, kappa: 0.3749, kb_relative_information_score: 557.7029, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7249, predictive_accuracy: 0.6848, prior_entropy: 0.9509, recall: 0.6848, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1632, scimark_benchmark: 1318.1432, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7934, kappa: 0.549, kb_relative_information_score: 1048.1131, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8165, predictive_accuracy: 0.8054, prior_entropy: 0.9509, recall: 0.8054, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9138, scimark_benchmark: 876.0664, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.8021, kappa: 0.5752, kb_relative_information_score: 1034.8588, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9509, recall: 0.8022, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9215, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8062, kappa: 0.5835, kb_relative_information_score: 796.6899, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.806, predictive_accuracy: 0.8065, prior_entropy: 0.9509, recall: 0.8065, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7987, scimark_benchmark: 915.9324, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.7272, kappa: 0.4331, kb_relative_information_score: 712.3368, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7426, predictive_accuracy: 0.7228, prior_entropy: 0.9509, recall: 0.7228, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0907, scimark_benchmark: 916.9356, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8028, kappa: 0.5734, kb_relative_information_score: 876.1703, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8026, predictive_accuracy: 0.8049, prior_entropy: 0.9509, recall: 0.8049, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7867, scimark_benchmark: 1324.8395, usercpu_time_millis: 3620, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8138, kappa: 0.5999, kb_relative_information_score: 961.6254, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8136, predictive_accuracy: 0.8141, prior_entropy: 0.9509, recall: 0.8141, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7945, scimark_benchmark: 1368.9272, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8012, kappa: 0.5726, kb_relative_information_score: 954.754, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8009, predictive_accuracy: 0.8016, prior_entropy: 0.9509, recall: 0.8016, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8198, scimark_benchmark: 1355.9413, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7676, kappa: 0.4995, kb_relative_information_score: 748.5968, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.767, predictive_accuracy: 0.7685, prior_entropy: 0.9509, recall: 0.7685, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8879, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8445, kappa: 0.6629, kb_relative_information_score: 937.987, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8458, predictive_accuracy: 0.8467, prior_entropy: 0.9509, recall: 0.8467, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7451, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8253, kappa: 0.6228, kb_relative_information_score: 928.3795, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.825, predictive_accuracy: 0.8266, prior_entropy: 0.9509, recall: 0.8266, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7877, scimark_benchmark: 825.5282, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7719, kappa: 0.5024, kb_relative_information_score: 944.2875, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7784, predictive_accuracy: 0.7799, prior_entropy: 0.9509, recall: 0.7799, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.972, scimark_benchmark: 1315.395, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.5822, kappa: 0.089, kb_relative_information_score: 195.4179, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.5771, predictive_accuracy: 0.5957, prior_entropy: 0.9509, recall: 0.5957, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6359, root_relative_squared_error: 1.3174, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8392, kappa: 0.6522, kb_relative_information_score: 955.0483, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8393, predictive_accuracy: 0.8408, prior_entropy: 0.9509, recall: 0.8408, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7496, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8171, kappa: 0.6129, kb_relative_information_score: 1087.8761, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.822, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8906, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.8169, kappa: 0.6029, kb_relative_information_score: 1105.5485, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8177, predictive_accuracy: 0.8196, prior_entropy: 0.9509, recall: 0.8196, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.88, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4875, kb_relative_information_score: -1.371, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8435, kappa: 0.6603, kb_relative_information_score: 952.6179, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8456, predictive_accuracy: 0.8462, prior_entropy: 0.9509, recall: 0.8462, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.759, scimark_benchmark: 1066.833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, build_cpu_time: 1.9006, build_memory: 143914732, f_measure: 0.7567, kappa: 0.4781, kb_relative_information_score: 839.4928, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7568, predictive_accuracy: 0.7565, prior_entropy: 0.9509, recall: 0.7565, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.004, scimark_benchmark: 932.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, build_cpu_time: 1.174, build_memory: 578492378.4, f_measure: 0.7584, kappa: 0.4821, kb_relative_information_score: 838.3781, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7587, predictive_accuracy: 0.7582, prior_entropy: 0.9509, recall: 0.7582, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0023, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, build_cpu_time: 0.9774, build_memory: 982418649.6, f_measure: 0.7571, kappa: 0.4788, kb_relative_information_score: 835.5247, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7571, predictive_accuracy: 0.7571, prior_entropy: 0.9509, recall: 0.7571, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9974, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, build_cpu_time: 0.4356, build_memory: 1292101167.2, f_measure: 0.7563, kappa: 0.4765, kb_relative_information_score: 841.2023, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7561, predictive_accuracy: 0.7565, prior_entropy: 0.9509, recall: 0.7565, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9825, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, build_cpu_time: 0.2452, build_memory: 864582870.4, f_measure: 0.7639, kappa: 0.4929, kb_relative_information_score: 855.4907, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7637, predictive_accuracy: 0.7641, prior_entropy: 0.9509, recall: 0.7641, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.959, scimark_benchmark: 925.181,

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