Task
Supervised Classification on adult

Supervised Classification on adult

Task 2936 Supervised Classification adult 222 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8432, kappa: 0.5549, kb_relative_information_score: 188066.6915, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8425, predictive_accuracy: 0.8496, prior_entropy: 0.7939, recall: 0.8496, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7796, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8324, kappa: 0.519, kb_relative_information_score: 99338.6988, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.834, predictive_accuracy: 0.8425, prior_entropy: 0.7939, recall: 0.8425, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.8013, scimark_benchmark: 972.587, usercpu_time_millis: 5270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 5230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8349, kappa: 0.5285, kb_relative_information_score: 176085.9829, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.835, predictive_accuracy: 0.8433, prior_entropy: 0.7939, recall: 0.8433, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.7755, scimark_benchmark: 851.2074, usercpu_time_millis: 211630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 211580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.7098, kappa: 0.1409, kb_relative_information_score: 122897.4546, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.7111, predictive_accuracy: 0.7583, prior_entropy: 0.7939, recall: 0.7583, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.1524, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 941.6675, usercpu_time_millis: 450, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 941.6675, usercpu_time_millis: 440, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8399, kappa: 0.5485, kb_relative_information_score: 203015.4352, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8384, predictive_accuracy: 0.845, prior_entropy: 0.7939, recall: 0.845, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7668, scimark_benchmark: 941.6675, usercpu_time_millis: 6950, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 6750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8245, kappa: 0.5065, kb_relative_information_score: 196048.1432, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8222, predictive_accuracy: 0.8293, prior_entropy: 0.7939, recall: 0.8293, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8113, scimark_benchmark: 931.771, usercpu_time_millis: 26600, usercpu_time_millis_testing: 5720, usercpu_time_millis_training: 20880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.7098, kappa: 0.1409, kb_relative_information_score: 122897.4546, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.7111, predictive_accuracy: 0.7583, prior_entropy: 0.7939, recall: 0.7583, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.1524, scimark_benchmark: 974.2014, usercpu_time_millis: 4134390, usercpu_time_millis_testing: 1037950, usercpu_time_millis_training: 3096440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 941.3847, usercpu_time_millis: 410, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 974.2014, usercpu_time_millis: 440, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 947.1781, usercpu_time_millis: 390, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8466, kappa: 0.5694, kb_relative_information_score: 231453.5334, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.845, predictive_accuracy: 0.8503, prior_entropy: 0.7939, recall: 0.8503, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.7802, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8245, kappa: 0.5065, kb_relative_information_score: 196048.1432, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8222, predictive_accuracy: 0.8293, prior_entropy: 0.7939, recall: 0.8293, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8113, scimark_benchmark: 943.1009, usercpu_time_millis: 27960, usercpu_time_millis_testing: 6850, usercpu_time_millis_training: 21110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8501, kappa: 0.5769, kb_relative_information_score: 210373.1817, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8491, predictive_accuracy: 0.8551, prior_entropy: 0.7939, recall: 0.8551, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7429, scimark_benchmark: 927.7147, usercpu_time_millis: 1289730, usercpu_time_millis_testing: 71310, usercpu_time_millis_training: 1218420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8432, kappa: 0.5549, kb_relative_information_score: 188066.6915, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8425, predictive_accuracy: 0.8496, prior_entropy: 0.7939, recall: 0.8496, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7796, scimark_benchmark: 819.5729, usercpu_time_millis: 850, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8511, kappa: 0.5795, kb_relative_information_score: 210716.5641, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8501, predictive_accuracy: 0.8561, prior_entropy: 0.7939, recall: 0.8561, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.74, scimark_benchmark: 1158.055, usercpu_time_millis: 10249530, usercpu_time_millis_testing: 635450, usercpu_time_millis_training: 9614080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8324, kappa: 0.519, kb_relative_information_score: 99338.6988, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.834, predictive_accuracy: 0.8425, prior_entropy: 0.7939, recall: 0.8425, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.8013, scimark_benchmark: 935.2002, usercpu_time_millis: 3350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8349, kappa: 0.5285, kb_relative_information_score: 176085.9829, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.835, predictive_accuracy: 0.8433, prior_entropy: 0.7939, recall: 0.8433, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.7755, scimark_benchmark: 608.4057, usercpu_time_millis: 263790, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 263740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.7098, kappa: 0.1409, kb_relative_information_score: 122897.4546, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.7111, predictive_accuracy: 0.7583, prior_entropy: 0.7939, recall: 0.7583, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.1524, scimark_benchmark: 936.2574, usercpu_time_millis: 2164220, usercpu_time_millis_testing: 501860, usercpu_time_millis_training: 1662360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.7098, kappa: 0.1409, kb_relative_information_score: 122897.4546, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.7111, predictive_accuracy: 0.7583, prior_entropy: 0.7939, recall: 0.7583, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.1524, scimark_benchmark: 941.4991, usercpu_time_millis: 2289330, usercpu_time_millis_testing: 576030, usercpu_time_millis_training: 1713300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 938.1282, usercpu_time_millis: 400, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 903.2737, usercpu_time_millis: 410, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 903.2737, usercpu_time_millis: 440, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8399, kappa: 0.5485, kb_relative_information_score: 203015.4352, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8384, predictive_accuracy: 0.845, prior_entropy: 0.7939, recall: 0.845, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7668, scimark_benchmark: 933.3455, usercpu_time_millis: 7140, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 6910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8509, kappa: 0.579, kb_relative_information_score: 210606.0625, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8558, prior_entropy: 0.7939, recall: 0.8558, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.316, root_relative_squared_error: 0.7406, scimark_benchmark: 931.9419, usercpu_time_millis: 4914580, usercpu_time_millis_testing: 300720, usercpu_time_millis_training: 4613860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 936.9595, usercpu_time_millis: 480, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8466, kappa: 0.5694, kb_relative_information_score: 231453.5334, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.845, predictive_accuracy: 0.8503, prior_entropy: 0.7939, recall: 0.8503, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.7802, scimark_benchmark: 945.6228, usercpu_time_millis: 25260, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 25010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8245, kappa: 0.5065, kb_relative_information_score: 196048.1432, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8222, predictive_accuracy: 0.8293, prior_entropy: 0.7939, recall: 0.8293, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8113, scimark_benchmark: 901.4991, usercpu_time_millis: 29470, usercpu_time_millis_testing: 6820, usercpu_time_millis_training: 22650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8491, kappa: 0.574, kb_relative_information_score: 209609.5558, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8479, predictive_accuracy: 0.854, prior_entropy: 0.7939, recall: 0.854, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7469, scimark_benchmark: 935.6052, usercpu_time_millis: 693400, usercpu_time_millis_testing: 23610, usercpu_time_millis_training: 669790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8359, kappa: 0.5303, kb_relative_information_score: 195115.2964, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8366, predictive_accuracy: 0.8448, prior_entropy: 0.7939, recall: 0.8448, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.7689, scimark_benchmark: 929.0296, usercpu_time_millis: 1570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8359, kappa: 0.5303, kb_relative_information_score: 195115.2964, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8366, predictive_accuracy: 0.8448, prior_entropy: 0.7939, recall: 0.8448, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.7689, scimark_benchmark: 929.0296, usercpu_time_millis: 2030, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1960,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 1286.2211, usercpu_time_millis: 300, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 1303.5632, usercpu_time_millis: 250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 1333.202, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 1317.5857, usercpu_time_millis: 280, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8399, kappa: 0.5485, kb_relative_information_score: 203015.4352, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8384, predictive_accuracy: 0.845, prior_entropy: 0.7939, recall: 0.845, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7668, scimark_benchmark: 1350.2591, usercpu_time_millis: 4400, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 4230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8245, kappa: 0.5065, kb_relative_information_score: 196048.1432, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8222, predictive_accuracy: 0.8293, prior_entropy: 0.7939, recall: 0.8293, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8113, scimark_benchmark: 1336.0954, usercpu_time_millis: 27180, usercpu_time_millis_testing: 7560, usercpu_time_millis_training: 19620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8314, kappa: 0.5612, kb_relative_information_score: 200738.7014, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.7939, recall: 0.8245, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.8369, scimark_benchmark: 1321.8321, usercpu_time_millis: 250, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8432, kappa: 0.5549, kb_relative_information_score: 188066.6915, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8425, predictive_accuracy: 0.8496, prior_entropy: 0.7939, recall: 0.8496, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7796, scimark_benchmark: 1306.9281, usercpu_time_millis: 510, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8399, kappa: 0.5485, kb_relative_information_score: 203015.4352, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8384, predictive_accuracy: 0.845, prior_entropy: 0.7939, recall: 0.845, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7668, scimark_benchmark: 1327.3335, usercpu_time_millis: 4380, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 4220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.842, kappa: 0.5802, kb_relative_information_score: 206965.1011, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8376, prior_entropy: 0.7939, recall: 0.8376, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7956, scimark_benchmark: 1332.7986, usercpu_time_millis: 260, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8466, kappa: 0.5694, kb_relative_information_score: 231453.5334, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.845, predictive_accuracy: 0.8503, prior_entropy: 0.7939, recall: 0.8503, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.7802, scimark_benchmark: 1317.5348, usercpu_time_millis: 28780, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 28220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8507, kappa: 0.5777, kb_relative_information_score: 211479.7091, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8499, predictive_accuracy: 0.8561, prior_entropy: 0.7939, recall: 0.8561, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.7372, scimark_benchmark: 1332.9478, usercpu_time_millis: 402040, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 401860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8349, kappa: 0.5285, kb_relative_information_score: 176085.9829, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.835, predictive_accuracy: 0.8433, prior_entropy: 0.7939, recall: 0.8433, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.7755, scimark_benchmark: 1331.2559, usercpu_time_millis: 193110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 193070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8245, kappa: 0.5065, kb_relative_information_score: 196048.1432, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3641, number_of_instances: 488420, precision: 0.8222, predictive_accuracy: 0.8293, prior_entropy: 0.7939, recall: 0.8293, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8113, scimark_benchmark: 1325.1654, usercpu_time_millis: 26380, usercpu_time_millis_testing: 7340, usercpu_time_millis_training: 19040,
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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