Task
Supervised Classification on lung-cancer

Supervised Classification on lung-cancer

Task 2983 Supervised Classification lung-cancer 162 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.4429, kappa: 0.1547, kb_relative_information_score: 68.257, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4505, predictive_accuracy: 0.4406, prior_entropy: 1.57, recall: 0.4406, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5584, root_relative_squared_error: 1.1922, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.4219, kappa: 0.1235, kb_relative_information_score: 61.805, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4236, predictive_accuracy: 0.4219, prior_entropy: 1.57, recall: 0.4219, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.587, root_relative_squared_error: 1.2531, 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: 0.2347, kb_relative_information_score: 46.9628, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.4933, kappa: 0.2333, kb_relative_information_score: 57.2019, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4983, predictive_accuracy: 0.4938, prior_entropy: 1.57, recall: 0.4938, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9764, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.4747, kappa: 0.1961, kb_relative_information_score: 60.3544, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4792, predictive_accuracy: 0.4719, prior_entropy: 1.57, recall: 0.4719, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9453, 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: 0.2347, kb_relative_information_score: 46.9628, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.5365, kappa: 0.2794, kb_relative_information_score: 109.7154, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5667, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.084, scimark_benchmark: 974.2014, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.4747, kappa: 0.1961, kb_relative_information_score: 60.3544, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4792, predictive_accuracy: 0.4719, prior_entropy: 1.57, recall: 0.4719, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9453, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.4429, kappa: 0.1547, kb_relative_information_score: 68.257, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4505, predictive_accuracy: 0.4406, prior_entropy: 1.57, recall: 0.4406, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5584, root_relative_squared_error: 1.1922, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.4219, kappa: 0.1235, kb_relative_information_score: 61.9598, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4236, predictive_accuracy: 0.4219, prior_entropy: 1.57, recall: 0.4219, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5869, root_relative_squared_error: 1.253, scimark_benchmark: 906.5979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2347, kb_relative_information_score: 46.9628, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2347, kb_relative_information_score: 46.9628, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.5264, kappa: 0.2709, kb_relative_information_score: 107.4306, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5415, predictive_accuracy: 0.5188, prior_entropy: 1.57, recall: 0.5188, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.522, root_relative_squared_error: 1.1144, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.4933, kappa: 0.2333, kb_relative_information_score: 57.2019, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4983, predictive_accuracy: 0.4938, prior_entropy: 1.57, recall: 0.4938, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9764, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.5365, kappa: 0.2794, kb_relative_information_score: 109.7154, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5667, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.084, scimark_benchmark: 936.3213, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.4747, kappa: 0.1961, kb_relative_information_score: 60.3544, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4792, predictive_accuracy: 0.4719, prior_entropy: 1.57, recall: 0.4719, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9453, scimark_benchmark: 1051.249, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.4745, kappa: 0.2073, kb_relative_information_score: 69.8688, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4764, predictive_accuracy: 0.475, prior_entropy: 1.57, recall: 0.475, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9661, scimark_benchmark: 941.4991, usercpu_time_millis: 1600, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.5042, kappa: 0.2467, kb_relative_information_score: 72.0654, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5062, predictive_accuracy: 0.5031, prior_entropy: 1.57, recall: 0.5031, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9637, scimark_benchmark: 904.5548, usercpu_time_millis: 890, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.4764, kappa: 0.2047, kb_relative_information_score: 71.9659, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4795, predictive_accuracy: 0.475, prior_entropy: 1.57, recall: 0.475, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9687, scimark_benchmark: 922.613, usercpu_time_millis: 460, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.4761, kappa: 0.2117, kb_relative_information_score: 70.4904, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4751, predictive_accuracy: 0.4781, prior_entropy: 1.57, recall: 0.4781, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9814, scimark_benchmark: 935.0213, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.4633, kappa: 0.1816, kb_relative_information_score: 68.735, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4642, predictive_accuracy: 0.4625, prior_entropy: 1.57, recall: 0.4625, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.0036, scimark_benchmark: 936.7184, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4172, f_measure: 0.2347, kb_relative_information_score: -0.3541, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.0036, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.4037, kappa: 0.136, kb_relative_information_score: 33.4601, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4035, predictive_accuracy: 0.4188, prior_entropy: 1.57, recall: 0.4188, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.471, root_relative_squared_error: 1.0054, scimark_benchmark: 936.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5569, f_measure: 0.4039, kappa: 0.1355, kb_relative_information_score: 32.4402, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4031, predictive_accuracy: 0.4188, prior_entropy: 1.57, recall: 0.4188, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0248, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.4128, kappa: 0.1433, kb_relative_information_score: 32.4335, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4127, predictive_accuracy: 0.425, prior_entropy: 1.57, recall: 0.425, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0449, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.4555, kappa: 0.1913, kb_relative_information_score: 65.772, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.455, predictive_accuracy: 0.4625, prior_entropy: 1.57, recall: 0.4625, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0617, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.4455, kappa: 0.1615, kb_relative_information_score: 67.8527, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4452, predictive_accuracy: 0.4469, prior_entropy: 1.57, recall: 0.4469, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0587, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2347, kb_relative_information_score: 46.9628, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.4613, kappa: 0.1757, kb_relative_information_score: 73.2396, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4663, predictive_accuracy: 0.4594, prior_entropy: 1.57, recall: 0.4594, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0443, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.4628, kappa: 0.1911, kb_relative_information_score: 52.2578, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4663, predictive_accuracy: 0.4625, prior_entropy: 1.57, recall: 0.4625, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9828, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.424, kappa: 0.1739, kb_relative_information_score: 36.2753, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4359, predictive_accuracy: 0.4406, prior_entropy: 1.57, recall: 0.4406, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0043, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.4429, kappa: 0.1547, kb_relative_information_score: 68.257, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4505, predictive_accuracy: 0.4406, prior_entropy: 1.57, recall: 0.4406, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5584, root_relative_squared_error: 1.1922, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5134, kappa: 0.29, kb_relative_information_score: 108.6134, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5106, predictive_accuracy: 0.525, prior_entropy: 1.57, recall: 0.525, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1196, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.5264, kappa: 0.2709, kb_relative_information_score: 107.4306, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5415, predictive_accuracy: 0.5188, prior_entropy: 1.57, recall: 0.5188, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.522, root_relative_squared_error: 1.1144, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, f_measure: 0.4241, kappa: 0.1312, kb_relative_information_score: 66.7761, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4248, predictive_accuracy: 0.425, prior_entropy: 1.57, recall: 0.425, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.3217, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.3982, kappa: 0.1025, kb_relative_information_score: 55.319, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.3964, predictive_accuracy: 0.4031, prior_entropy: 1.57, recall: 0.4031, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6109, root_relative_squared_error: 1.3041, scimark_benchmark: 1337.6765, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.5056, kappa: 0.2667, kb_relative_information_score: 57.1841, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.509, predictive_accuracy: 0.5125, prior_entropy: 1.57, recall: 0.5125, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9558, scimark_benchmark: 1301.2156, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.4219, kappa: 0.1235, kb_relative_information_score: 61.805, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4236, predictive_accuracy: 0.4219, prior_entropy: 1.57, recall: 0.4219, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.587, root_relative_squared_error: 1.2531, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.4782, kappa: 0.2024, kb_relative_information_score: 42.5129, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4887, predictive_accuracy: 0.4813, prior_entropy: 1.57, recall: 0.4813, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9647, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.4648, kappa: 0.1765, kb_relative_information_score: 43.244, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4759, predictive_accuracy: 0.4656, prior_entropy: 1.57, recall: 0.4656, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9641, scimark_benchmark: 1347.5461, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.4429, kappa: 0.1547, kb_relative_information_score: 68.257, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4505, predictive_accuracy: 0.4406, prior_entropy: 1.57, recall: 0.4406, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5584, root_relative_squared_error: 1.1922, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.4927, kappa: 0.2464, kb_relative_information_score: 54.9554, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.501, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9562, scimark_benchmark: 892.0148, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.4219, kappa: 0.1235, kb_relative_information_score: 61.805, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4236, predictive_accuracy: 0.4219, prior_entropy: 1.57, recall: 0.4219, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.587, root_relative_squared_error: 1.2531, scimark_benchmark: 1342.4239, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.5209, kappa: 0.2874, kb_relative_information_score: 76.411, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5362, predictive_accuracy: 0.5281, prior_entropy: 1.57, recall: 0.5281, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0547, scimark_benchmark: 906.4475, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.4776, kappa: 0.2074, kb_relative_information_score: 89.3522, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.4771, predictive_accuracy: 0.4781, prior_entropy: 1.57, recall: 0.4781, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.1352, scimark_benchmark: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.5264, kappa: 0.2709, kb_relative_information_score: 107.4306, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5415, predictive_accuracy: 0.5188, prior_entropy: 1.57, recall: 0.5188, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.522, root_relative_squared_error: 1.1144, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5002, kappa: 0.2754, kb_relative_information_score: 77.3559, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5058, predictive_accuracy: 0.5156, prior_entropy: 1.57, recall: 0.5156, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0299, scimark_benchmark: 1350.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5389, kappa: 0.2839, kb_relative_information_score: 110.0066, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.5656, predictive_accuracy: 0.5281, prior_entropy: 1.57, recall: 0.5281, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0857, scimark_benchmark: 1307.9718, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,

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