Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 1787 Supervised Classification cmc 301 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, build_cpu_time: 2.1347, build_memory: 180859503.3418, f_measure: 0.44, kappa: 0.1353, kb_relative_information_score: 1479.9631, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4419, predictive_accuracy: 0.4386, prior_entropy: 1.5392, recall: 0.4386, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6071, root_relative_squared_error: 1.308, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, build_cpu_time: 4.8848, build_memory: 849201978.8883, f_measure: 0.5112, kappa: 0.2422, kb_relative_information_score: 2105.7256, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5097, predictive_accuracy: 0.5132, prior_entropy: 1.5392, recall: 0.5132, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0989, scimark_benchmark: 911.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, build_cpu_time: 9.1464, build_memory: 1957311522.5048, f_measure: 0.508, kappa: 0.2374, kb_relative_information_score: 2142.3281, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.507, predictive_accuracy: 0.5096, prior_entropy: 1.5392, recall: 0.5096, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1222, scimark_benchmark: 943.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, build_cpu_time: 0.2488, build_memory: 81077806.3652, f_measure: 0.4977, kappa: 0.2211, kb_relative_information_score: 1999.5927, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4961, predictive_accuracy: 0.4999, prior_entropy: 1.5392, recall: 0.4999, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.1164, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, build_cpu_time: 11.5882, build_memory: 875755160.9928, f_measure: 0.5055, kappa: 0.2337, kb_relative_information_score: 2149.0446, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5044, predictive_accuracy: 0.507, prior_entropy: 1.5392, recall: 0.507, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5237, root_relative_squared_error: 1.1283, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, build_cpu_time: 2.4673, build_memory: 1258186685.3084, f_measure: 0.5033, kappa: 0.2305, kb_relative_information_score: 1973.3131, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5014, predictive_accuracy: 0.506, prior_entropy: 1.5392, recall: 0.506, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0552, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, build_cpu_time: 0.003, build_memory: 108757021.8189, f_measure: 0.2556, kb_relative_information_score: 459.798, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0394, build_memory: 521534037.5332, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, build_cpu_time: 0.0475, build_memory: 888755196.9629, f_measure: 0.5137, kappa: 0.2437, kb_relative_information_score: 1235.3766, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5138, predictive_accuracy: 0.5165, prior_entropy: 1.5392, recall: 0.5165, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9487, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0447, build_memory: 1739756494.3012, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0365, build_memory: 762432227.2521, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.4274, build_memory: 734427467.8191, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, build_cpu_time: 0.1786, build_memory: 1044824420.1743, f_measure: 0.4936, kappa: 0.2156, kb_relative_information_score: 2001.3384, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4928, predictive_accuracy: 0.4946, prior_entropy: 1.5392, recall: 0.4946, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1926, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.1495, build_memory: 2667587005.9177, f_measure: 0.4931, kappa: 0.2148, kb_relative_information_score: 1999.4813, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4923, predictive_accuracy: 0.4941, prior_entropy: 1.5392, recall: 0.4941, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1918, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.042, build_memory: 61348377.4056, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.537, build_memory: 798919220.1189, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.4402, kappa: 0.1356, kb_relative_information_score: 1484.9138, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4415, predictive_accuracy: 0.4391, prior_entropy: 1.5392, recall: 0.4391, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.603, root_relative_squared_error: 1.2993, scimark_benchmark: 1298.4923, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.4575, kappa: 0.2056, kb_relative_information_score: 291.7974, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5005, predictive_accuracy: 0.4581, prior_entropy: 1.5392, recall: 0.4581, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9999, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.5062, kappa: 0.2309, kb_relative_information_score: 1387.3052, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5067, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9498, scimark_benchmark: 1386.5717, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.5118, kappa: 0.2416, kb_relative_information_score: 1107.8835, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5118, predictive_accuracy: 0.5204, prior_entropy: 1.5392, recall: 0.5204, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9479, scimark_benchmark: 1334.9657, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.5284, kappa: 0.2663, kb_relative_information_score: 1604.1811, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5284, predictive_accuracy: 0.532, prior_entropy: 1.5392, recall: 0.532, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9366, scimark_benchmark: 1322.7383, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.422, kappa: 0.0999, kb_relative_information_score: 1054.9401, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4212, predictive_accuracy: 0.4297, prior_entropy: 1.5392, recall: 0.4297, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.1004, scimark_benchmark: 986.8456, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5257, kappa: 0.2618, kb_relative_information_score: 1618.7727, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5263, predictive_accuracy: 0.5297, prior_entropy: 1.5392, recall: 0.5297, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9396, scimark_benchmark: 1313.6093, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.5146, kappa: 0.245, kb_relative_information_score: 1620.0306, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5142, predictive_accuracy: 0.518, prior_entropy: 1.5392, recall: 0.518, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9486, scimark_benchmark: 1307.3764, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5282, kappa: 0.2661, kb_relative_information_score: 1611.577, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.528, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9336, scimark_benchmark: 1351.6526, usercpu_time_millis: 620, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.5279, kappa: 0.2657, kb_relative_information_score: 1611.858, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5279, predictive_accuracy: 0.5318, prior_entropy: 1.5392, recall: 0.5318, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9326, scimark_benchmark: 1341.8761, usercpu_time_millis: 910, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.4467, kappa: 0.1463, kb_relative_information_score: 1383.4233, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.449, predictive_accuracy: 0.4542, prior_entropy: 1.5392, recall: 0.4542, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0956, scimark_benchmark: 1318.5627, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.2766, kappa: 0.0183, kb_relative_information_score: 91.3688, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.2751, predictive_accuracy: 0.432, prior_entropy: 1.5392, recall: 0.432, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9983, scimark_benchmark: 1327.9121, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.4404, kappa: 0.1359, kb_relative_information_score: 1465.3911, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4431, predictive_accuracy: 0.4388, prior_entropy: 1.5392, recall: 0.4388, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.3179, scimark_benchmark: 996.6105, usercpu_time_millis: 500, usercpu_time_millis_testing: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5115, kappa: 0.2436, kb_relative_information_score: 2325.692, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.528, predictive_accuracy: 0.5313, prior_entropy: 1.5392, recall: 0.5313, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.559, root_relative_squared_error: 1.2044, scimark_benchmark: 765.566, usercpu_time_millis: 1740, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.5306, kappa: 0.2736, kb_relative_information_score: 2453.0325, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5398, predictive_accuracy: 0.5423, prior_entropy: 1.5392, recall: 0.5423, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1902, scimark_benchmark: 898.1296, usercpu_time_millis: 750, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 840.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1317.1597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.4657, kappa: 0.1716, kb_relative_information_score: 1742.505, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4645, predictive_accuracy: 0.4673, prior_entropy: 1.5392, recall: 0.4673, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.284, scimark_benchmark: 1435.4217, usercpu_time_millis: 560, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 290,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, build_cpu_time: 0.0958, build_memory: 335715697.5815, f_measure: 0.507, kappa: 0.2355, kb_relative_information_score: 1706.7322, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5055, predictive_accuracy: 0.5093, prior_entropy: 1.5392, recall: 0.5093, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.986, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5313, kappa: 0.2718, kb_relative_information_score: 1750.2689, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.537, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9709, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.5396, kappa: 0.286, kb_relative_information_score: 1855.0147, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.541, predictive_accuracy: 0.5419, prior_entropy: 1.5392, recall: 0.5419, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9353, scimark_benchmark: 1341.8761, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.5503, kappa: 0.3026, kb_relative_information_score: 1812.1298, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5524, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.923, scimark_benchmark: 1341.7207, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.4469, kappa: 0.1442, kb_relative_information_score: 1225.6326, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.446, predictive_accuracy: 0.4506, prior_entropy: 1.5392, recall: 0.4506, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0325, scimark_benchmark: 1333.5799, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.2556, kb_relative_information_score: 459.798, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.497, kappa: 0.2336, kb_relative_information_score: 1603.1046, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5096, predictive_accuracy: 0.493, prior_entropy: 1.5392, recall: 0.493, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9813, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.5063, kappa: 0.2415, kb_relative_information_score: 1606.7633, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5276, predictive_accuracy: 0.5066, prior_entropy: 1.5392, recall: 0.5066, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011, scimark_benchmark: 1330.7266, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.4991, kappa: 0.2248, kb_relative_information_score: 996.8865, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5173, predictive_accuracy: 0.5211, prior_entropy: 1.5392, recall: 0.5211, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9737, scimark_benchmark: 1321.76, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.2552, kappa: -0.0018, kb_relative_information_score: 121.3138, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1822, predictive_accuracy: 0.4257, prior_entropy: 1.5392, recall: 0.4257, relative_absolute_error: 1.0298, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0141, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.5051, kappa: 0.231, kb_relative_information_score: 1040.78, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5055, predictive_accuracy: 0.5096, prior_entropy: 1.5392, recall: 0.5096, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9713, scimark_benchmark: 1335.693, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.499, kappa: 0.2364, kb_relative_information_score: 1601.4127, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5115, predictive_accuracy: 0.4949, prior_entropy: 1.5392, recall: 0.4949, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9809, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.5164, kappa: 0.2488, kb_relative_information_score: 1175.2846, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5214, predictive_accuracy: 0.5287, prior_entropy: 1.5392, recall: 0.5287, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9367, scimark_benchmark: 932.0242, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.5138, kappa: 0.2453, kb_relative_information_score: 1155.0209, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5202, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355, scimark_benchmark: 1301.9956, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.422, kappa: 0.0999, kb_relative_information_score: 1054.9401, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4212, predictive_accuracy: 0.4297, prior_entropy: 1.5392, recall: 0.4297, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.1004, scimark_benchmark: 1337.2572, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.508, kappa: 0.2368, kb_relative_information_score: 1714.3146, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5066, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9796, scimark_benchmark: 1326.8946, usercpu_time_millis: 500, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.2556, kb_relative_information_score: 459.798, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.2556, kb_relative_information_score: 2.6856, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.5166, kappa: 0.2484, kb_relative_information_score: 1456.666, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5169, predictive_accuracy: 0.5189, prior_entropy: 1.5392, recall: 0.5189, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9463, scimark_benchmark: 1339.4189, usercpu_time_millis: 1250, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.5422, kappa: 0.289, kb_relative_information_score: 1682.6886, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5465, predictive_accuracy: 0.5447, prior_entropy: 1.5392, recall: 0.5447, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9311, scimark_benchmark: 1351.3295, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5041, kappa: 0.2431, kb_relative_information_score: 1738.7178, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5164, predictive_accuracy: 0.4998, prior_entropy: 1.5392, recall: 0.4998, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.969, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.5306, kappa: 0.2736, kb_relative_information_score: 2453.0325, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5398, predictive_accuracy: 0.5423, prior_entropy: 1.5392, recall: 0.5423, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1902, scimark_benchmark: 916.0735, usercpu_time_millis: 790, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 470,

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