Task
Supervised Classification on chscase_vine1

Supervised Classification on chscase_vine1

Task 4385 Supervised Classification chscase_vine1 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8252, kappa: 0.6491, kb_relative_information_score: 0.5618, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4972, weighted_recall: 0.825, number_of_instances: 520, precision: 0.8262, predictive_accuracy: 0.825, prior_entropy: 0.9957, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.335, root_relative_squared_error: 0.672, scimark_benchmark: 931.1106, unweighted_recall: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7963, kappa: 0.5906, kb_relative_information_score: 0.5545, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4972, weighted_recall: 0.7962, number_of_instances: 520, precision: 0.7967, predictive_accuracy: 0.7962, prior_entropy: 0.9957, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.813, scimark_benchmark: 979.7764, unweighted_recall: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8614, kappa: 0.7252, kb_relative_information_score: 325.5975, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8749, predictive_accuracy: 0.8615, prior_entropy: 0.996, recall: 0.8615, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7075, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8483, kappa: 0.6955, kb_relative_information_score: 318.6805, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8495, predictive_accuracy: 0.8481, prior_entropy: 0.996, recall: 0.8481, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6813, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8512, kappa: 0.7002, kb_relative_information_score: 360.6618, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8533, predictive_accuracy: 0.8519, prior_entropy: 0.996, recall: 0.8519, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7052, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6782, kappa: 0.3779, kb_relative_information_score: 207.3725, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7488, predictive_accuracy: 0.7019, prior_entropy: 0.996, recall: 0.7019, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0952, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6782, kappa: 0.3779, kb_relative_information_score: 207.3725, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7488, predictive_accuracy: 0.7019, prior_entropy: 0.996, recall: 0.7019, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0952, scimark_benchmark: 904.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.804, kappa: 0.6063, kb_relative_information_score: 250.2793, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8046, predictive_accuracy: 0.8038, prior_entropy: 0.996, recall: 0.8038, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7489, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8175, kappa: 0.6332, kb_relative_information_score: 271.3167, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8179, predictive_accuracy: 0.8173, prior_entropy: 0.996, recall: 0.8173, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7078, scimark_benchmark: 904.6764, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7902, kappa: 0.5776, kb_relative_information_score: 279.3111, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7902, predictive_accuracy: 0.7904, prior_entropy: 0.996, recall: 0.7904, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8105, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6782, kappa: 0.3779, kb_relative_information_score: 207.3725, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7488, predictive_accuracy: 0.7019, prior_entropy: 0.996, recall: 0.7019, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0952, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6782, kappa: 0.3779, kb_relative_information_score: 207.3725, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7488, predictive_accuracy: 0.7019, prior_entropy: 0.996, recall: 0.7019, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0952, scimark_benchmark: 936.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8252, kappa: 0.6491, kb_relative_information_score: 292.0564, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8262, predictive_accuracy: 0.825, prior_entropy: 0.996, recall: 0.825, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.335, root_relative_squared_error: 0.672, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8614, kappa: 0.7252, kb_relative_information_score: 325.5975, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8749, predictive_accuracy: 0.8615, prior_entropy: 0.996, recall: 0.8615, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7075, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8483, kappa: 0.6955, kb_relative_information_score: 318.6805, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8495, predictive_accuracy: 0.8481, prior_entropy: 0.996, recall: 0.8481, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6813, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8512, kappa: 0.7002, kb_relative_information_score: 360.6618, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8533, predictive_accuracy: 0.8519, prior_entropy: 0.996, recall: 0.8519, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7052, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6782, kappa: 0.3779, kb_relative_information_score: 207.3725, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7488, predictive_accuracy: 0.7019, prior_entropy: 0.996, recall: 0.7019, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0952, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6782, kappa: 0.3779, kb_relative_information_score: 207.3725, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7488, predictive_accuracy: 0.7019, prior_entropy: 0.996, recall: 0.7019, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0952, scimark_benchmark: 943.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.804, kappa: 0.6063, kb_relative_information_score: 250.2793, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8046, predictive_accuracy: 0.8038, prior_entropy: 0.996, recall: 0.8038, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7489, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8175, kappa: 0.6332, kb_relative_information_score: 271.3167, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8179, predictive_accuracy: 0.8173, prior_entropy: 0.996, recall: 0.8173, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7078, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7902, kappa: 0.5776, kb_relative_information_score: 279.3111, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7902, predictive_accuracy: 0.7904, prior_entropy: 0.996, recall: 0.7904, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8105, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8252, kappa: 0.6491, kb_relative_information_score: 292.0564, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8262, predictive_accuracy: 0.825, prior_entropy: 0.996, recall: 0.825, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.335, root_relative_squared_error: 0.672, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8309, kappa: 0.6599, kb_relative_information_score: 273.2376, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.831, predictive_accuracy: 0.8308, prior_entropy: 0.996, recall: 0.8308, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6865, scimark_benchmark: 936.2574, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8192, kappa: 0.6363, kb_relative_information_score: 270.9475, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8192, predictive_accuracy: 0.8192, prior_entropy: 0.996, recall: 0.8192, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6932, scimark_benchmark: 943.6618, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8268, kappa: 0.6514, kb_relative_information_score: 273.0145, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8268, predictive_accuracy: 0.8269, prior_entropy: 0.996, recall: 0.8269, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6923, scimark_benchmark: 933.9243, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.829, kappa: 0.6564, kb_relative_information_score: 272.5231, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8294, predictive_accuracy: 0.8288, prior_entropy: 0.996, recall: 0.8288, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7008, scimark_benchmark: 901.5805, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8021, kappa: 0.6021, kb_relative_information_score: 271.2931, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8023, predictive_accuracy: 0.8019, prior_entropy: 0.996, recall: 0.8019, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7195, scimark_benchmark: 939.7241, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8035, kappa: 0.6042, kb_relative_information_score: 271.543, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.996, recall: 0.8038, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8404, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8035, kappa: 0.6042, kb_relative_information_score: 271.543, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.996, recall: 0.8038, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8404, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8035, kappa: 0.6042, kb_relative_information_score: 271.543, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.996, recall: 0.8038, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8404, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8055, kappa: 0.6082, kb_relative_information_score: 273.6819, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8056, predictive_accuracy: 0.8058, prior_entropy: 0.996, recall: 0.8058, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8359, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8036, kappa: 0.6044, kb_relative_information_score: 271.2086, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.996, recall: 0.8038, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8387, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.3769, kb_relative_information_score: -1.9424, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0027, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7922, kappa: 0.5816, kb_relative_information_score: 303.3521, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.996, recall: 0.7923, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8974, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 354.4651, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8175, kappa: 0.6332, kb_relative_information_score: 271.3167, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8179, predictive_accuracy: 0.8173, prior_entropy: 0.996, recall: 0.8173, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7078, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 354.4651, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.804, kappa: 0.6063, kb_relative_information_score: 250.2793, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8046, predictive_accuracy: 0.8038, prior_entropy: 0.996, recall: 0.8038, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7489, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7902, kappa: 0.5776, kb_relative_information_score: 279.3111, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7902, predictive_accuracy: 0.7904, prior_entropy: 0.996, recall: 0.7904, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8105, scimark_benchmark: 1317.6232, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8252, kappa: 0.6491, kb_relative_information_score: 292.0564, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8262, predictive_accuracy: 0.825, prior_entropy: 0.996, recall: 0.825, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.335, root_relative_squared_error: 0.672, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 329.9682, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7052, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8115, kappa: 0.6206, kb_relative_information_score: 290.6579, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8114, predictive_accuracy: 0.8115, prior_entropy: 0.996, recall: 0.8115, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7953, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8532, kappa: 0.7042, kb_relative_information_score: 360.6097, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8551, predictive_accuracy: 0.8538, prior_entropy: 0.996, recall: 0.8538, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7049, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1337.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8636, kappa: 0.7275, kb_relative_information_score: 341.9515, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8685, predictive_accuracy: 0.8635, prior_entropy: 0.996, recall: 0.8635, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.701, scimark_benchmark: 1314.1215,

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