Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 271 Supervised Classification soybean 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9266, kappa: 0.9212, kb_relative_information_score: 204.603, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9325, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.396, scimark_benchmark: 939.449, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9224, kappa: 0.9163, kb_relative_information_score: 39.1825, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.213, root_relative_squared_error: 0.975, scimark_benchmark: 1369.9744, usercpu_time_millis: 820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.859, kappa: 0.8663, kb_relative_information_score: 170.809, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8773, predictive_accuracy: 0.88, prior_entropy: 3.8572, recall: 0.88, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.5205, scimark_benchmark: 1314.0383, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8332, kappa: 0.8181, kb_relative_information_score: 188.6686, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8392, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5755, scimark_benchmark: 1371.9645, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1345.7204, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9233, kappa: 0.9211, kb_relative_information_score: 205.4031, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9378, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3595, scimark_benchmark: 950.6776, usercpu_time_millis: 142660, usercpu_time_millis_testing: 142650, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9266, kappa: 0.9212, kb_relative_information_score: 204.603, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9325, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.396, scimark_benchmark: 1268.9931, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8526, kappa: 0.852, kb_relative_information_score: 190.8657, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8707, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.4475, scimark_benchmark: 1268.9931, usercpu_time_millis: 2830, usercpu_time_millis_testing: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.923, kappa: 0.9162, kb_relative_information_score: 207.9063, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9269, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.3318, scimark_benchmark: 1311.1837, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8889, kappa: 0.8913, kb_relative_information_score: 196.5464, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9073, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4644, scimark_benchmark: 1328.8457, usercpu_time_millis: 20140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8865, kappa: 0.8865, kb_relative_information_score: 173.4321, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.908, predictive_accuracy: 0.8978, prior_entropy: 3.8572, recall: 0.8978, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.5059, scimark_benchmark: 1334.4761, usercpu_time_millis: 930, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.7909, kappa: 0.8016, kb_relative_information_score: 170.1711, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.7707, predictive_accuracy: 0.8222, prior_entropy: 3.8572, recall: 0.8222, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.5592, scimark_benchmark: 1318.8785, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8717, kappa: 0.8764, kb_relative_information_score: 172.8454, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8841, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.509, scimark_benchmark: 1360.2771, usercpu_time_millis: 450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.1025, kappa: 0.1449, kb_relative_information_score: 53.5108, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.0642, predictive_accuracy: 0.2533, prior_entropy: 3.8572, recall: 0.2533, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.9526, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9093, kappa: 0.9063, kb_relative_information_score: 200.5577, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9142, predictive_accuracy: 0.9156, prior_entropy: 3.8572, recall: 0.9156, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.4316, scimark_benchmark: 906.4475, usercpu_time_millis: 310, usercpu_time_millis_testing: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.897, kappa: 0.8963, kb_relative_information_score: 197.6518, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9146, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4242, scimark_benchmark: 926.6704, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9212, kappa: 0.9117, kb_relative_information_score: 205.971, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9357, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.3786, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 1327.9952, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8054, kappa: 0.8166, kb_relative_information_score: 172.7197, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.7822, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.5439, scimark_benchmark: 1323.976, usercpu_time_millis: 1110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0257, kb_relative_information_score: 1.5735, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.0144, predictive_accuracy: 0.12, prior_entropy: 3.8572, recall: 0.12, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2188, root_relative_squared_error: 1.0016, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8925, kappa: 0.8781, kb_relative_information_score: 81.4136, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9214, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.8629, scimark_benchmark: 929.0363, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9154, kappa: 0.9066, kb_relative_information_score: 205.1039, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9305, predictive_accuracy: 0.9156, prior_entropy: 3.8572, recall: 0.9156, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.3714, scimark_benchmark: 1332.4146, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8728, kappa: 0.8766, kb_relative_information_score: 194.1167, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.884, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.442, scimark_benchmark: 935.5075, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9154, kappa: 0.9066, kb_relative_information_score: 205.1039, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9305, predictive_accuracy: 0.9156, prior_entropy: 3.8572, recall: 0.9156, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.3714, scimark_benchmark: 1307.4861, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.925, kappa: 0.9164, kb_relative_information_score: 206.1386, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9267, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3892, scimark_benchmark: 1299.5783, usercpu_time_millis: 2250, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8579, kappa: 0.8662, kb_relative_information_score: 173.6246, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8793, predictive_accuracy: 0.88, prior_entropy: 3.8572, recall: 0.88, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.5111, scimark_benchmark: 932.0242, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9292, kappa: 0.9213, kb_relative_information_score: 208.3963, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9312, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3321, scimark_benchmark: 1324.8395, usercpu_time_millis: 1730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.925, kappa: 0.9164, kb_relative_information_score: 206.9377, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9267, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.3738, scimark_benchmark: 1384.4418, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9417, kappa: 0.936, kb_relative_information_score: 207.7079, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9437, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.303, scimark_benchmark: 925.4974, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.7797, kappa: 0.7873, kb_relative_information_score: 172.3052, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8162, predictive_accuracy: 0.8089, prior_entropy: 3.8572, recall: 0.8089, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5533, scimark_benchmark: 882.7843, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8056, kappa: 0.8165, kb_relative_information_score: 172.1226, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.7832, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.5483, scimark_benchmark: 1339.3974, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 6.374, build_memory: 2170481712, f_measure: 0.8784, kappa: 0.8814, kb_relative_information_score: 180.1794, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9089, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.4803, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 11.657, build_memory: 782554592, f_measure: 0.8744, kappa: 0.8765, kb_relative_information_score: 180.3939, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9042, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.4774, scimark_benchmark: 914.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 11.227, build_memory: 1217322504, f_measure: 0.8744, kappa: 0.8765, kb_relative_information_score: 180.3939, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9042, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.4774, scimark_benchmark: 940.7481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 0.004, build_memory: 1139803408, f_measure: 0.4986, kappa: 0.5137, kb_relative_information_score: 101.7283, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6167, predictive_accuracy: 0.5644, prior_entropy: 3.8572, recall: 0.5644, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.8579, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, build_cpu_time: 0.055, build_memory: 102940768, f_measure: 0.5179, kappa: 0.5272, kb_relative_information_score: 101.0596, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6325, predictive_accuracy: 0.5778, prior_entropy: 3.8572, recall: 0.5778, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.8592, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 69.839, build_memory: 62030824, f_measure: 0.9242, kappa: 0.9164, kb_relative_information_score: 206.0611, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9272, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3441, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, build_cpu_time: 0.003, build_memory: 1737928808, f_measure: 0.4904, kappa: 0.5082, kb_relative_information_score: 101.1475, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6269, predictive_accuracy: 0.56, prior_entropy: 3.8572, recall: 0.56, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.8593, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 2963.72, build_memory: 2216262928, f_measure: 0.9163, kappa: 0.9113, kb_relative_information_score: 203.6951, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9248, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.3492, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 0.065, build_memory: 240716696, f_measure: 0.911, kappa: 0.9017, kb_relative_information_score: 203.3405, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9301, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.3817, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8354, kappa: 0.8234, kb_relative_information_score: 177.9241, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8691, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5285, scimark_benchmark: 1337.446, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8744, kappa: 0.8621, kb_relative_information_score: 193.4355, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8898, predictive_accuracy: 0.8756, prior_entropy: 3.8572, recall: 0.8756, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.5159, scimark_benchmark: 1331.482, usercpu_time_millis: 19000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 18980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9198, kappa: 0.9163, kb_relative_information_score: 203.8766, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.919, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3814, scimark_benchmark: 932.0242, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 933.1165, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 1296.8947, usercpu_time_millis: 440, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1349.1517, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1325.8468, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.3408, kappa: 0.38, kb_relative_information_score: 57.7848, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.2909, predictive_accuracy: 0.4533, prior_entropy: 3.8572, recall: 0.4533, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.8815, scimark_benchmark: 1334.9657, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 1330.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8332, kappa: 0.8181, kb_relative_information_score: 188.6686, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8392, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5755, scimark_benchmark: 1315.3709, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9154, kappa: 0.9066, kb_relative_information_score: 205.1039, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9305, predictive_accuracy: 0.9156, prior_entropy: 3.8572, recall: 0.9156, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.3714, scimark_benchmark: 1345.1228, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1205.8291, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8029, kappa: 0.8168, kb_relative_information_score: 178.7109, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.798, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6023, scimark_benchmark: 1327.2954, usercpu_time_millis: 390, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8323, kappa: 0.8323, kb_relative_information_score: 118.5303, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8389, predictive_accuracy: 0.8489, prior_entropy: 3.8572, recall: 0.8489, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.7478, scimark_benchmark: 1344.7246, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9271, kappa: 0.9212, kb_relative_information_score: 205.3706, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9319, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.3245, scimark_benchmark: 932.4744, usercpu_time_millis: 2630, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.932, kappa: 0.9261, kb_relative_information_score: 206.2287, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9362, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.3131, scimark_benchmark: 935.0213, usercpu_time_millis: 4970, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 2820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.932, kappa: 0.9261, kb_relative_information_score: 206.753, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9362, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.3134, scimark_benchmark: 943.2803, usercpu_time_millis: 10960, usercpu_time_millis_testing: 4380, usercpu_time_millis_training: 6580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 1350.2591, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,

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