Task
Supervised Classification on lymphoma_9classes

Supervised Classification on lymphoma_9classes

Task 3939 Supervised Classification lymphoma_9classes 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7025, kappa: 0.6209, kb_relative_information_score: 55.2943, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6877, predictive_accuracy: 0.7604, prior_entropy: 2.564, recall: 0.7604, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8091, kappa: 0.7403, kb_relative_information_score: 65.651, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8235, predictive_accuracy: 0.8125, prior_entropy: 2.564, recall: 0.8125, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6421, scimark_benchmark: 851.2074, usercpu_time_millis: 13690, usercpu_time_millis_training: 13690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8565, kappa: 0.8514, kb_relative_information_score: 73.8181, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8286, predictive_accuracy: 0.8958, prior_entropy: 2.564, recall: 0.8958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5348, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8565, kappa: 0.8514, kb_relative_information_score: 73.8181, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8286, predictive_accuracy: 0.8958, prior_entropy: 2.564, recall: 0.8958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5348, scimark_benchmark: 916.0735, usercpu_time_millis: 3430, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7335, kappa: 0.6784, kb_relative_information_score: 46.3307, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.7325, predictive_accuracy: 0.7813, prior_entropy: 2.564, recall: 0.7813, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.7283, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8565, kappa: 0.8514, kb_relative_information_score: 73.8181, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8286, predictive_accuracy: 0.8958, prior_entropy: 2.564, recall: 0.8958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5348, scimark_benchmark: 932.438, usercpu_time_millis: 3410, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8499, kappa: 0.797, kb_relative_information_score: 71.4819, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8526, predictive_accuracy: 0.8542, prior_entropy: 2.564, recall: 0.8542, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.6312, scimark_benchmark: 938.5498, usercpu_time_millis: 7172620, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 7171450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8565, kappa: 0.8514, kb_relative_information_score: 73.8181, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8286, predictive_accuracy: 0.8958, prior_entropy: 2.564, recall: 0.8958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5348, scimark_benchmark: 932.438, usercpu_time_millis: 3280, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8094, kappa: 0.7654, kb_relative_information_score: 55.1951, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.837, predictive_accuracy: 0.8438, prior_entropy: 2.564, recall: 0.8438, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6453, scimark_benchmark: 943.1009, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 942.2392, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8565, kappa: 0.8514, kb_relative_information_score: 73.8181, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8286, predictive_accuracy: 0.8958, prior_entropy: 2.564, recall: 0.8958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5348, scimark_benchmark: 730.6551, usercpu_time_millis: 3300, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9579, kappa: 0.9433, kb_relative_information_score: 87.5973, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.9641, predictive_accuracy: 0.9583, prior_entropy: 2.564, recall: 0.9583, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3382, scimark_benchmark: 930.404, usercpu_time_millis: 540, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7335, kappa: 0.6784, kb_relative_information_score: 46.3307, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.7325, predictive_accuracy: 0.7813, prior_entropy: 2.564, recall: 0.7813, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.7283, scimark_benchmark: 903.2737, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8499, kappa: 0.797, kb_relative_information_score: 71.4819, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8526, predictive_accuracy: 0.8542, prior_entropy: 2.564, recall: 0.8542, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.6312, scimark_benchmark: 926.5462, usercpu_time_millis: 7047130, usercpu_time_millis_testing: 1790, usercpu_time_millis_training: 7045340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8094, kappa: 0.7654, kb_relative_information_score: 55.1951, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.837, predictive_accuracy: 0.8438, prior_entropy: 2.564, recall: 0.8438, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6453, scimark_benchmark: 730.6551, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8958, kappa: 0.8828, kb_relative_information_score: 65.1274, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8802, predictive_accuracy: 0.9167, prior_entropy: 2.564, recall: 0.9167, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.153, root_relative_squared_error: 0.5378, scimark_benchmark: 899.0468, usercpu_time_millis: 259580, usercpu_time_millis_testing: 120800, usercpu_time_millis_training: 138780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8831, kappa: 0.8673, kb_relative_information_score: 65.2889, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8713, predictive_accuracy: 0.9063, prior_entropy: 2.564, recall: 0.9063, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.5433, scimark_benchmark: 914.3583, usercpu_time_millis: 170050, usercpu_time_millis_testing: 77810, usercpu_time_millis_training: 92240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8158, kappa: 0.7735, kb_relative_information_score: 62.1233, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.81, predictive_accuracy: 0.8438, prior_entropy: 2.564, recall: 0.8438, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.6064, scimark_benchmark: 938.3115, usercpu_time_millis: 66880, usercpu_time_millis_testing: 29300, usercpu_time_millis_training: 37580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4155, f_measure: 0.3104, kb_relative_information_score: -0.1794, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.2296, predictive_accuracy: 0.4792, prior_entropy: 2.564, recall: 0.4792, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2851, root_relative_squared_error: 1.0022, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.4598, kappa: 0.3202, kb_relative_information_score: -0.4882, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.4102, predictive_accuracy: 0.5417, prior_entropy: 2.564, recall: 0.5417, relative_absolute_error: 1.1546, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0655, scimark_benchmark: 926.5859, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.4598, kappa: 0.3202, kb_relative_information_score: -0.4882, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.4102, predictive_accuracy: 0.5417, prior_entropy: 2.564, recall: 0.5417, relative_absolute_error: 1.1546, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0655, scimark_benchmark: 936.1714, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.4598, kappa: 0.3202, kb_relative_information_score: -0.4882, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.4102, predictive_accuracy: 0.5417, prior_entropy: 2.564, recall: 0.5417, relative_absolute_error: 1.1546, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0655, scimark_benchmark: 936.1714, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.4598, kappa: 0.3202, kb_relative_information_score: -0.4882, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.4102, predictive_accuracy: 0.5417, prior_entropy: 2.564, recall: 0.5417, relative_absolute_error: 1.1546, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0655, scimark_benchmark: 929.0296, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.4816, kappa: 0.3341, kb_relative_information_score: 12.8902, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.4501, predictive_accuracy: 0.5417, prior_entropy: 2.564, recall: 0.5417, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.9364, scimark_benchmark: 940.0055, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3104, kb_relative_information_score: 18.2838, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.2296, predictive_accuracy: 0.4792, prior_entropy: 2.564, recall: 0.4792, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.3402, root_relative_squared_error: 1.1959, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.809, kappa: 0.7558, kb_relative_information_score: 52.9782, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8038, predictive_accuracy: 0.8333, prior_entropy: 2.564, recall: 0.8333, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6749, scimark_benchmark: 942.6192, usercpu_time_millis: 5110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9093, kappa: 0.8857, kb_relative_information_score: 56.0211, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.9098, predictive_accuracy: 0.9167, prior_entropy: 2.564, recall: 0.9167, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.64, scimark_benchmark: 899.1108, usercpu_time_millis: 34560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 34550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.3774, kappa: 0.1071, kb_relative_information_score: 15.9698, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.3935, predictive_accuracy: 0.5104, prior_entropy: 2.564, recall: 0.5104, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.9428, scimark_benchmark: 931.7994, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 923.509, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8091, kappa: 0.7403, kb_relative_information_score: 65.651, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8235, predictive_accuracy: 0.8125, prior_entropy: 2.564, recall: 0.8125, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6421, scimark_benchmark: 936.0171, usercpu_time_millis: 11580, usercpu_time_millis_training: 11580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8565, kappa: 0.8514, kb_relative_information_score: 73.8181, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8286, predictive_accuracy: 0.8958, prior_entropy: 2.564, recall: 0.8958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5348, scimark_benchmark: 890.5596, usercpu_time_millis: 2030, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8565, kappa: 0.8514, kb_relative_information_score: 73.8181, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8286, predictive_accuracy: 0.8958, prior_entropy: 2.564, recall: 0.8958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5348, scimark_benchmark: 922.5036, usercpu_time_millis: 3780, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9579, kappa: 0.9433, kb_relative_information_score: 87.5973, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.9641, predictive_accuracy: 0.9583, prior_entropy: 2.564, recall: 0.9583, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3382, scimark_benchmark: 945.0194, usercpu_time_millis: 730, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7335, kappa: 0.6784, kb_relative_information_score: 46.3307, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.7325, predictive_accuracy: 0.7813, prior_entropy: 2.564, recall: 0.7813, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.7283, scimark_benchmark: 946.9304, usercpu_time_millis: 1640, usercpu_time_millis_training: 1640,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8094, kappa: 0.7654, kb_relative_information_score: 55.1951, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.837, predictive_accuracy: 0.8438, prior_entropy: 2.564, recall: 0.8438, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6453, scimark_benchmark: 928.8135, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.7373, kappa: 0.6995, kb_relative_information_score: 48.2137, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6984, predictive_accuracy: 0.8021, prior_entropy: 2.564, recall: 0.8021, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6973, scimark_benchmark: 1331.7205, usercpu_time_millis: 13680, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 13600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8499, kappa: 0.797, kb_relative_information_score: 71.4819, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8526, predictive_accuracy: 0.8542, prior_entropy: 2.564, recall: 0.8542, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.6312, scimark_benchmark: 1312.0581, usercpu_time_millis: 7492070, usercpu_time_millis_testing: 3840, usercpu_time_millis_training: 7488230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9579, kappa: 0.9433, kb_relative_information_score: 87.5973, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.9641, predictive_accuracy: 0.9583, prior_entropy: 2.564, recall: 0.9583, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3382, scimark_benchmark: 1350.073, usercpu_time_millis: 620, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8565, kappa: 0.8514, kb_relative_information_score: 73.8181, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8286, predictive_accuracy: 0.8958, prior_entropy: 2.564, recall: 0.8958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5348, scimark_benchmark: 933.1165, usercpu_time_millis: 3610, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.748, kappa: 0.7171, kb_relative_information_score: 47.8981, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.7044, predictive_accuracy: 0.8125, prior_entropy: 2.564, recall: 0.8125, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.7003, scimark_benchmark: 1334.6745, usercpu_time_millis: 24000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 23990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 1064.8317, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 1355.2525, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3104, kb_relative_information_score: -2.8111, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.2296, predictive_accuracy: 0.4792, prior_entropy: 2.564, recall: 0.4792, relative_absolute_error: 1.1995, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.1047, scimark_benchmark: 1064.8317, usercpu_time_millis: 54750, usercpu_time_millis_testing: 54750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 1321.5205, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8091, kappa: 0.7403, kb_relative_information_score: 65.651, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8235, predictive_accuracy: 0.8125, prior_entropy: 2.564, recall: 0.8125, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6421, scimark_benchmark: 909.1698, usercpu_time_millis: 12440, usercpu_time_millis_training: 12440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.797, kappa: 0.7415, kb_relative_information_score: 67.8523, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.7861, predictive_accuracy: 0.8125, prior_entropy: 2.564, recall: 0.8125, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6836, scimark_benchmark: 1343.6648, usercpu_time_millis: 956220, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 956060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.7387, kappa: 0.6995, kb_relative_information_score: 47.8751, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.7001, predictive_accuracy: 0.8021, prior_entropy: 2.564, recall: 0.8021, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.7005, scimark_benchmark: 1352.2099, usercpu_time_millis: 4350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8091, kappa: 0.7403, kb_relative_information_score: 65.651, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8235, predictive_accuracy: 0.8125, prior_entropy: 2.564, recall: 0.8125, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6421, scimark_benchmark: 1360.2999, usercpu_time_millis: 9100, usercpu_time_millis_training: 9100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 1249.4068, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8499, kappa: 0.797, kb_relative_information_score: 71.4819, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8526, predictive_accuracy: 0.8542, prior_entropy: 2.564, recall: 0.8542, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.6312, scimark_benchmark: 1359.7347, usercpu_time_millis: 7685440, usercpu_time_millis_testing: 3710, usercpu_time_millis_training: 7681730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8091, kappa: 0.7403, kb_relative_information_score: 65.651, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8235, predictive_accuracy: 0.8125, prior_entropy: 2.564, recall: 0.8125, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6421, scimark_benchmark: 1318.8785, usercpu_time_millis: 8820, usercpu_time_millis_training: 8820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.6759, kappa: 0.5652, kb_relative_information_score: 54.5822, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6672, predictive_accuracy: 0.7083, prior_entropy: 2.564, recall: 0.7083, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.7403, scimark_benchmark: 1337.8643, usercpu_time_millis: 2600, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 1371.9645, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7316, kappa: 0.6417, kb_relative_information_score: 56.5515, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.7327, predictive_accuracy: 0.7396, prior_entropy: 2.564, recall: 0.7396, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.8267, scimark_benchmark: 1371.9645, usercpu_time_millis: 2830, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9576, kappa: 0.9433, kb_relative_information_score: 87.5973, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.9631, predictive_accuracy: 0.9583, prior_entropy: 2.564, recall: 0.9583, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3382, scimark_benchmark: 1345.7204, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.7895, kappa: 0.7157, kb_relative_information_score: 65.8331, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.7975, predictive_accuracy: 0.8021, prior_entropy: 2.564, recall: 0.8021, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6734, scimark_benchmark: 961.21, usercpu_time_millis: 9430, usercpu_time_millis_training: 9430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.543, kappa: 0.4407, kb_relative_information_score: 27.5637, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.5006, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.8386, scimark_benchmark: 1313.6093, usercpu_time_millis: 519570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 519560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6467, kappa: 0.501, kb_relative_information_score: 48.7695, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6661, predictive_accuracy: 0.6354, prior_entropy: 2.564, recall: 0.6354, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.264, root_relative_squared_error: 0.928, scimark_benchmark: 1316.5986, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6329, kappa: 0.5375, kb_relative_information_score: 39.3961, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6046, predictive_accuracy: 0.6771, prior_entropy: 2.564, recall: 0.6771, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.8428, scimark_benchmark: 1313.6093, usercpu_time_millis: 25330, usercpu_time_millis_testing: 25330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8216, kappa: 0.7707, kb_relative_information_score: 69.8353, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.8485, predictive_accuracy: 0.8438, prior_entropy: 2.564, recall: 0.8438, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.655, scimark_benchmark: 1346.3935, usercpu_time_millis: 980, usercpu_time_millis_testing: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4155, f_measure: 0.3104, kb_relative_information_score: -0.1794, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.2296, predictive_accuracy: 0.4792, prior_entropy: 2.564, recall: 0.4792, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2851, root_relative_squared_error: 1.0022, scimark_benchmark: 1345.4669, usercpu_time_millis: 620, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.4057, kappa: 0.2043, kb_relative_information_score: 21.1812, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.3419, predictive_accuracy: 0.5, prior_entropy: 2.564, recall: 0.5, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.947, scimark_benchmark: 1264.0609, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6147, kappa: 0.461, kb_relative_information_score: 41.1008, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1647, number_of_instances: 96, precision: 0.6244, predictive_accuracy: 0.625, prior_entropy: 2.564, recall: 0.625, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.2845, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9639, scimark_benchmark: 1337.3264, usercpu_time_millis: 1360, usercpu_time_millis_training: 1360,

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

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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