Task
Supervised Classification on ipums_la_98-small

Supervised Classification on ipums_la_98-small

Task 3865 Supervised Classification ipums_la_98-small 456 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8552, kappa: 0.0901, kb_relative_information_score: -1591.7907, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8502, predictive_accuracy: 0.8921, prior_entropy: 0.4871, recall: 0.8921, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.922, scimark_benchmark: 1345.7204, usercpu_time_millis: 1480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 1327.5791, usercpu_time_millis: 860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 933.1165, usercpu_time_millis: 400, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 933.1165, usercpu_time_millis: 410, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 933.1165, usercpu_time_millis: 400, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 926.6704, usercpu_time_millis: 490, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7341, kappa: 0.2261, kb_relative_information_score: -9847.7358, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8959, predictive_accuracy: 0.6707, prior_entropy: 0.4871, recall: 0.6707, relative_absolute_error: 1.7294, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.8245, scimark_benchmark: 1322.7383, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1354.3488, usercpu_time_millis: 280, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7341, kappa: 0.2261, kb_relative_information_score: -9847.7358, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8959, predictive_accuracy: 0.6707, prior_entropy: 0.4871, recall: 0.6707, relative_absolute_error: 1.7294, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.8245, scimark_benchmark: 1335.643, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1342.6911, usercpu_time_millis: 280, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1343.4596, usercpu_time_millis: 300, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8507, kappa: 0.049, kb_relative_information_score: -1585.1936, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8541, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9222, scimark_benchmark: 1312.0581, usercpu_time_millis: 3190, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.8572, kappa: 0.0966, kb_relative_information_score: -1737.4462, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8654, predictive_accuracy: 0.8961, prior_entropy: 0.4871, recall: 0.8961, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.9132, scimark_benchmark: 1064.8317, usercpu_time_millis: 21120, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 20670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 1334.6745, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8558, kappa: 0.0834, kb_relative_information_score: -2117.5951, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8723, predictive_accuracy: 0.8969, prior_entropy: 0.4871, recall: 0.8969, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9174, scimark_benchmark: 1346.3935, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8492, kappa: 0.0378, kb_relative_information_score: -2127.7039, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.852, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9192, scimark_benchmark: 1337.446, usercpu_time_millis: 11130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 1151.6869, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.8336, kappa: 0.1172, kb_relative_information_score: -1564.7048, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8331, predictive_accuracy: 0.8341, prior_entropy: 0.4871, recall: 0.8341, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.3113, scimark_benchmark: 1064.8317, usercpu_time_millis: 1590180, usercpu_time_millis_testing: 1590180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 1337.5749, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 1341.2341, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 1309.4998, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8492, kappa: 0.0378, kb_relative_information_score: -2127.7039, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.852, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9192, scimark_benchmark: 1320.9026, usercpu_time_millis: 9960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 1335.643, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8444, kappa: -0.0003, kb_relative_information_score: -2142.2764, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.9127, scimark_benchmark: 1320.6159, usercpu_time_millis: 12330, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 11640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 922.1419, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8542, kappa: 0.0955, kb_relative_information_score: 1016.0946, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.887, prior_entropy: 0.4871, recall: 0.887, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.0451, scimark_benchmark: 854.5188, usercpu_time_millis: 42830, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 42410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 1449.4352, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.8654, kappa: 0.1997, kb_relative_information_score: 1241.9532, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8561, predictive_accuracy: 0.8852, prior_entropy: 0.4871, recall: 0.8852, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0811, scimark_benchmark: 932.0242, usercpu_time_millis: 11150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 1371.9645, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.8444, kb_relative_information_score: -2782.4501, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.284, root_relative_squared_error: 0.9239, scimark_benchmark: 1350.073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 939.5088, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 1354.8751, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8657, kappa: 0.1802, kb_relative_information_score: -1143.2749, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8593, predictive_accuracy: 0.8915, prior_entropy: 0.4871, recall: 0.8915, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9154, scimark_benchmark: 1308.3432, usercpu_time_millis: 5540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 1319.7801, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1316.5986, usercpu_time_millis: 300, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8492, kappa: 0.0378, kb_relative_information_score: -2127.7039, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.852, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9192, scimark_benchmark: 860.584, usercpu_time_millis: 12380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8452, kappa: 0.0059, kb_relative_information_score: -2129.1583, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8529, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.915, scimark_benchmark: 938.9967, usercpu_time_millis: 2390, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.8467, kappa: 0.0168, kb_relative_information_score: -2146.8948, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8711, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9173, scimark_benchmark: 942.6843, usercpu_time_millis: 1270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8631, kappa: 0.1578, kb_relative_information_score: -1203.9288, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8572, predictive_accuracy: 0.8917, prior_entropy: 0.4871, recall: 0.8917, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.9094, scimark_benchmark: 1336.2976, usercpu_time_millis: 2270, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8476, kappa: 0.025, kb_relative_information_score: -1814.5283, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8519, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.907, scimark_benchmark: 1465.2979, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8573, kappa: 0.0979, kb_relative_information_score: -1697.49, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8647, predictive_accuracy: 0.8959, prior_entropy: 0.4871, recall: 0.8959, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.915, scimark_benchmark: 895.5332, usercpu_time_millis: 7260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8565, kappa: 0.0923, kb_relative_information_score: -1642.6599, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8635, predictive_accuracy: 0.8957, prior_entropy: 0.4871, recall: 0.8957, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.9157, scimark_benchmark: 933.3136, usercpu_time_millis: 3120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8552, kappa: 0.0901, kb_relative_information_score: -1591.7907, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8502, predictive_accuracy: 0.8921, prior_entropy: 0.4871, recall: 0.8921, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.922, scimark_benchmark: 915.9693, usercpu_time_millis: 1810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.8451, kappa: 0.0054, kb_relative_information_score: -440.8698, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8397, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9847, scimark_benchmark: 869.6028, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8481, kappa: 0.0298, kb_relative_information_score: -1592.2577, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8482, predictive_accuracy: 0.8938, prior_entropy: 0.4871, recall: 0.8938, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9029, scimark_benchmark: 930.5999, usercpu_time_millis: 7240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 7180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8447, kappa: 0.0029, kb_relative_information_score: -1893.989, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8264, predictive_accuracy: 0.8938, prior_entropy: 0.4871, recall: 0.8938, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.9079, scimark_benchmark: 1321.3021, usercpu_time_millis: 2870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8442, kappa: -0.0008, kb_relative_information_score: -2189.0012, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8939, prior_entropy: 0.4871, recall: 0.8939, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.9128, scimark_benchmark: 1304.6687, usercpu_time_millis: 1280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8444, kb_relative_information_score: -2575.3237, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9234, scimark_benchmark: 889.3151, usercpu_time_millis: 910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8444, kb_relative_information_score: -3068.8939, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9235, scimark_benchmark: 933.3136, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.8574, kappa: 0.1363, kb_relative_information_score: -1931.4767, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8454, predictive_accuracy: 0.883, prior_entropy: 0.4871, recall: 0.883, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.9881, scimark_benchmark: 908.2231, usercpu_time_millis: 33260, usercpu_time_millis_testing: 33260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8502, kappa: 0.0909, kb_relative_information_score: -222.93, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8342, predictive_accuracy: 0.8775, prior_entropy: 0.4871, recall: 0.8775, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.9982, scimark_benchmark: 929.0363, usercpu_time_millis: 3936020, usercpu_time_millis_testing: 102690, usercpu_time_millis_training: 3833330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.8529, kappa: 0.1364, kb_relative_information_score: -1809.4524, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8402, predictive_accuracy: 0.8716, prior_entropy: 0.4871, recall: 0.8716, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3195, root_relative_squared_error: 1.0391, scimark_benchmark: 1325.2092, usercpu_time_millis: 28300, usercpu_time_millis_testing: 28300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.8461, kappa: 0.0132, kb_relative_information_score: 1940.9564, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8467, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.0588, scimark_benchmark: 937.6212, usercpu_time_millis: 9040, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 8990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8444, kb_relative_information_score: 1954.9262, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.0574, scimark_benchmark: 937.5996, usercpu_time_millis: 289530, usercpu_time_millis_testing: 29000, usercpu_time_millis_training: 260530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.8517, kappa: 0.0568, kb_relative_information_score: 1961.9112, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8564, predictive_accuracy: 0.8945, prior_entropy: 0.4871, recall: 0.8945, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.0568, scimark_benchmark: 1337.7959, usercpu_time_millis: 1369060, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1369020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.8508, kappa: 0.0496, kb_relative_information_score: -7052.6785, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8562, predictive_accuracy: 0.8945, prior_entropy: 0.4871, recall: 0.8945, relative_absolute_error: 1.1958, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.0955, scimark_benchmark: 938.343, usercpu_time_millis: 11870, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.7837, kappa: 0.0012, kb_relative_information_score: -5064.9401, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8112, predictive_accuracy: 0.7601, prior_entropy: 0.4871, recall: 0.7601, relative_absolute_error: 1.2689, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.5934, scimark_benchmark: 935.5075, usercpu_time_millis: 3470, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.8457, kappa: 0.009, kb_relative_information_score: 1982.866, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.9059, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.0548, scimark_benchmark: 1307.4861, usercpu_time_millis: 341660, usercpu_time_millis_testing: 73880, usercpu_time_millis_training: 267780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7341, kappa: 0.2261, kb_relative_information_score: -9847.7358, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8959, predictive_accuracy: 0.6707, prior_entropy: 0.4871, recall: 0.6707, relative_absolute_error: 1.7294, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.8245, scimark_benchmark: 1028.5889, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.8397, kappa: 0.2278, kb_relative_information_score: -4539.9987, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8558, predictive_accuracy: 0.8269, prior_entropy: 0.4871, recall: 0.8269, relative_absolute_error: 1.0392, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0881, scimark_benchmark: 1073.494, usercpu_time_millis: 21910, usercpu_time_millis_testing: 18120, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8507, kappa: 0.049, kb_relative_information_score: -1585.1936, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8541, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9222, scimark_benchmark: 1330.0694, usercpu_time_millis: 2390, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.8447, kappa: 0.1646, kb_relative_information_score: -944.3896, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.8473, prior_entropy: 0.4871, recall: 0.8473, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.38, root_relative_squared_error: 1.2361, scimark_benchmark: 1325.942, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8555, kappa: 0.093, kb_relative_information_score: -1884.7338, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8503, predictive_accuracy: 0.8919, prior_entropy: 0.4871, recall: 0.8919, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.935, scimark_benchmark: 1315.3881, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8444, kb_relative_information_score: 2.0573, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3074, root_relative_squared_error: 1, scimark_benchmark: 1327.6929, usercpu_time_millis: 8070, usercpu_time_millis_training: 8070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.8459, kappa: 0.1891, kb_relative_information_score: -622.5172, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8467, predictive_accuracy: 0.845, prior_entropy: 0.4871, recall: 0.845, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3937, root_relative_squared_error: 1.2805, scimark_benchmark: 1291.6995, usercpu_time_millis: 62010, usercpu_time_millis_testing: 33000, usercpu_time_millis_training: 29010,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs