OpenML
Supervised Classification on lung-cancer

Supervised Classification on lung-cancer

Task 2922 Supervised Classification lung-cancer 238 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7982, kappa: 0.486, kb_relative_information_score: 134.4252, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7978, predictive_accuracy: 0.8063, prior_entropy: 0.874, recall: 0.8063, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.9, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.686, kappa: 0.1983, kb_relative_information_score: 57.736, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.6787, predictive_accuracy: 0.7, prior_entropy: 0.874, recall: 0.7, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0132, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.7726, kappa: 0.432, kb_relative_information_score: 123.7997, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7707, predictive_accuracy: 0.775, prior_entropy: 0.874, recall: 0.775, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4546, root_relative_squared_error: 1.0106, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6011, kb_relative_information_score: 80.4938, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.5166, predictive_accuracy: 0.7188, prior_entropy: 0.874, recall: 0.7188, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.1791, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7771, kappa: 0.44, kb_relative_information_score: 134.3382, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7747, predictive_accuracy: 0.7813, prior_entropy: 0.874, recall: 0.7813, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9978, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.758, kappa: 0.3709, kb_relative_information_score: 62.9282, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.776, predictive_accuracy: 0.7844, prior_entropy: 0.874, recall: 0.7844, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8928, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6011, kb_relative_information_score: 53.7875, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.5166, predictive_accuracy: 0.7188, prior_entropy: 0.874, recall: 0.7188, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9985, scimark_benchmark: 943.8235, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7166, kappa: 0.2621, kb_relative_information_score: 49.9127, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7328, predictive_accuracy: 0.7531, prior_entropy: 0.874, recall: 0.7531, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.923, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6011, kb_relative_information_score: 80.4938, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.5166, predictive_accuracy: 0.7188, prior_entropy: 0.874, recall: 0.7188, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.1791, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7771, kappa: 0.44, kb_relative_information_score: 130.2122, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7747, predictive_accuracy: 0.7813, prior_entropy: 0.874, recall: 0.7813, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0132, scimark_benchmark: 947.1781, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7166, kappa: 0.2621, kb_relative_information_score: 49.9127, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7328, predictive_accuracy: 0.7531, prior_entropy: 0.874, recall: 0.7531, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.923, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7982, kappa: 0.486, kb_relative_information_score: 134.4252, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7978, predictive_accuracy: 0.8063, prior_entropy: 0.874, recall: 0.8063, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.9, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6835, kappa: 0.1929, kb_relative_information_score: 55.9428, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.6762, predictive_accuracy: 0.6969, prior_entropy: 0.874, recall: 0.6969, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0164, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.7726, kappa: 0.432, kb_relative_information_score: 123.7997, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7707, predictive_accuracy: 0.775, prior_entropy: 0.874, recall: 0.775, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4546, root_relative_squared_error: 1.0106, scimark_benchmark: 608.4057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6011, kb_relative_information_score: 80.4938, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.5166, predictive_accuracy: 0.7188, prior_entropy: 0.874, recall: 0.7188, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.1791, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7771, kappa: 0.44, kb_relative_information_score: 134.3382, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7747, predictive_accuracy: 0.7813, prior_entropy: 0.874, recall: 0.7813, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9978, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.758, kappa: 0.3709, kb_relative_information_score: 62.9282, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.776, predictive_accuracy: 0.7844, prior_entropy: 0.874, recall: 0.7844, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8928, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6011, kb_relative_information_score: 53.7875, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.5166, predictive_accuracy: 0.7188, prior_entropy: 0.874, recall: 0.7188, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9985, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7771, kappa: 0.44, kb_relative_information_score: 130.2122, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7747, predictive_accuracy: 0.7813, prior_entropy: 0.874, recall: 0.7813, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0132, scimark_benchmark: 935.5664, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7166, kappa: 0.2621, kb_relative_information_score: 49.9127, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7328, predictive_accuracy: 0.7531, prior_entropy: 0.874, recall: 0.7531, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.923, scimark_benchmark: 917.5013, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7917, kappa: 0.4694, kb_relative_information_score: 65.1697, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7909, predictive_accuracy: 0.8, prior_entropy: 0.874, recall: 0.8, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9009, scimark_benchmark: 901.6243, usercpu_time_millis: 1570, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7899, kappa: 0.4669, kb_relative_information_score: 63.5058, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7882, predictive_accuracy: 0.7969, prior_entropy: 0.874, recall: 0.7969, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.9068, scimark_benchmark: 931.9419, usercpu_time_millis: 880, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7872, kappa: 0.4607, kb_relative_information_score: 63.1285, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7852, predictive_accuracy: 0.7938, prior_entropy: 0.874, recall: 0.7938, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.9057, scimark_benchmark: 939.7883, usercpu_time_millis: 420, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7776, kappa: 0.4322, kb_relative_information_score: 57.5716, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7765, predictive_accuracy: 0.7875, prior_entropy: 0.874, recall: 0.7875, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9246, scimark_benchmark: 939.0589, usercpu_time_millis: 230, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.737, kappa: 0.3309, kb_relative_information_score: 49.6324, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7329, predictive_accuracy: 0.7469, prior_entropy: 0.874, recall: 0.7469, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9506, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6916, kappa: 0.2321, kb_relative_information_score: 63.1438, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.6896, predictive_accuracy: 0.6938, prior_entropy: 0.874, recall: 0.6938, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.1642, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.6953, kappa: 0.2426, kb_relative_information_score: 64.76, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.6938, predictive_accuracy: 0.6969, prior_entropy: 0.874, recall: 0.6969, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.523, root_relative_squared_error: 1.1626, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.7005, kappa: 0.2531, kb_relative_information_score: 69.4285, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.6982, predictive_accuracy: 0.7031, prior_entropy: 0.874, recall: 0.7031, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.1511, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.6982, kappa: 0.2427, kb_relative_information_score: 65.4478, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.6943, predictive_accuracy: 0.7031, prior_entropy: 0.874, recall: 0.7031, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.1503, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.6892, kappa: 0.2215, kb_relative_information_score: 59.1368, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.6856, predictive_accuracy: 0.6938, prior_entropy: 0.874, recall: 0.6938, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.1496, scimark_benchmark: 894.7131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6011, kb_relative_information_score: 80.4938, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.5166, predictive_accuracy: 0.7188, prior_entropy: 0.874, recall: 0.7188, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.1791, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7771, kappa: 0.44, kb_relative_information_score: 134.3382, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7747, predictive_accuracy: 0.7813, prior_entropy: 0.874, recall: 0.7813, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9978, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7166, kappa: 0.2621, kb_relative_information_score: 49.9127, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7328, predictive_accuracy: 0.7531, prior_entropy: 0.874, recall: 0.7531, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.923, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.686, kappa: 0.1983, kb_relative_information_score: 57.736, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.6787, predictive_accuracy: 0.7, prior_entropy: 0.874, recall: 0.7, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0132, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7771, kappa: 0.44, kb_relative_information_score: 134.3382, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7747, predictive_accuracy: 0.7813, prior_entropy: 0.874, recall: 0.7813, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9978, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6011, kb_relative_information_score: 53.7875, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.5166, predictive_accuracy: 0.7188, prior_entropy: 0.874, recall: 0.7188, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9985, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7166, kappa: 0.2621, kb_relative_information_score: 49.9127, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7328, predictive_accuracy: 0.7531, prior_entropy: 0.874, recall: 0.7531, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.923, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7771, kappa: 0.44, kb_relative_information_score: 134.3382, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.7747, predictive_accuracy: 0.7813, prior_entropy: 0.874, recall: 0.7813, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9978, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7581, kappa: 0.3987, kb_relative_information_score: 106.4364, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.757, predictive_accuracy: 0.7594, prior_entropy: 0.874, recall: 0.7594, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0462, scimark_benchmark: 1346.4374,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs