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Supervised Classification on desharnais

Supervised Classification on desharnais

Task 4627 Supervised Classification desharnais 180 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6427, kappa: 0.3781, kb_relative_information_score: 233.2251, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6235, predictive_accuracy: 0.6654, prior_entropy: 1.3765, recall: 0.6654, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6427, kappa: 0.3781, kb_relative_information_score: 233.2251, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6235, predictive_accuracy: 0.6654, prior_entropy: 1.3765, recall: 0.6654, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6427, kappa: 0.3781, kb_relative_information_score: 233.2251, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6235, predictive_accuracy: 0.6654, prior_entropy: 1.3765, recall: 0.6654, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6427, kappa: 0.3781, kb_relative_information_score: 233.2251, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6235, predictive_accuracy: 0.6654, prior_entropy: 1.3765, recall: 0.6654, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6427, kappa: 0.3781, kb_relative_information_score: 233.2251, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6235, predictive_accuracy: 0.6654, prior_entropy: 1.3765, recall: 0.6654, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6665, kappa: 0.4247, kb_relative_information_score: 221.7485, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6523, predictive_accuracy: 0.6963, prior_entropy: 1.3765, recall: 0.6963, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.9377, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.6762, kappa: 0.4257, kb_relative_information_score: 332.7831, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6763, predictive_accuracy: 0.6778, prior_entropy: 1.3765, recall: 0.6778, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9592, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7038, kappa: 0.4679, kb_relative_information_score: 266.6516, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7055, predictive_accuracy: 0.7148, prior_entropy: 1.3765, recall: 0.7148, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.8598, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6789, kappa: 0.4214, kb_relative_information_score: 276.4266, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.682, predictive_accuracy: 0.6926, prior_entropy: 1.3765, recall: 0.6926, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9164, scimark_benchmark: 944.1067, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 944.1783, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6656, kappa: 0.4188, kb_relative_information_score: 226.0988, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6524, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9281, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7565, kappa: 0.5609, kb_relative_information_score: 299.7199, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.775, predictive_accuracy: 0.763, prior_entropy: 1.3765, recall: 0.763, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8195, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6665, kappa: 0.4247, kb_relative_information_score: 221.7485, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6523, predictive_accuracy: 0.6963, prior_entropy: 1.3765, recall: 0.6963, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.9377, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.6762, kappa: 0.4257, kb_relative_information_score: 332.7831, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6763, predictive_accuracy: 0.6778, prior_entropy: 1.3765, recall: 0.6778, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9592, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7038, kappa: 0.4679, kb_relative_information_score: 266.6516, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7055, predictive_accuracy: 0.7148, prior_entropy: 1.3765, recall: 0.7148, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.8598, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6789, kappa: 0.4214, kb_relative_information_score: 276.4266, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.682, predictive_accuracy: 0.6926, prior_entropy: 1.3765, recall: 0.6926, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9164, scimark_benchmark: 942.2392, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7565, kappa: 0.5609, kb_relative_information_score: 299.7199, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.775, predictive_accuracy: 0.763, prior_entropy: 1.3765, recall: 0.763, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8195, scimark_benchmark: 938.988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7008, kappa: 0.4605, kb_relative_information_score: 280.0362, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.706, predictive_accuracy: 0.7086, prior_entropy: 1.3765, recall: 0.7086, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.846, scimark_benchmark: 870.2101, usercpu_time_millis: 1080, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.6934, kappa: 0.4471, kb_relative_information_score: 277.1956, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.697, predictive_accuracy: 0.7, prior_entropy: 1.3765, recall: 0.7, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8505, scimark_benchmark: 919.3788, usercpu_time_millis: 400, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.705, kappa: 0.4683, kb_relative_information_score: 285.2921, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.711, predictive_accuracy: 0.7136, prior_entropy: 1.3765, recall: 0.7136, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.366, root_relative_squared_error: 0.8419, scimark_benchmark: 945.6228, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.6854, kappa: 0.4322, kb_relative_information_score: 274.013, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6881, predictive_accuracy: 0.6951, prior_entropy: 1.3765, recall: 0.6951, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.8623, scimark_benchmark: 922.613, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.6669, kappa: 0.4011, kb_relative_information_score: 265.915, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6686, predictive_accuracy: 0.6728, prior_entropy: 1.3765, recall: 0.6728, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.88, scimark_benchmark: 920.5394, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.7956, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 175.4925, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8966, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 175.4925, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8966, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.6656, kappa: 0.4422, kb_relative_information_score: 187.3244, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.664, predictive_accuracy: 0.7123, prior_entropy: 1.3765, recall: 0.7123, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9043, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6603, kappa: 0.4341, kb_relative_information_score: 205.5357, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6197, predictive_accuracy: 0.7086, prior_entropy: 1.3765, recall: 0.7086, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9238, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6561, kappa: 0.4154, kb_relative_information_score: 281.5237, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6726, predictive_accuracy: 0.7, prior_entropy: 1.3765, recall: 0.7, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9576, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.6573, kappa: 0.3927, kb_relative_information_score: 295.2318, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6552, predictive_accuracy: 0.663, prior_entropy: 1.3765, recall: 0.663, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9446, scimark_benchmark: 922.8232,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 1336.4694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 1350.007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7565, kappa: 0.5609, kb_relative_information_score: 299.7199, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.775, predictive_accuracy: 0.763, prior_entropy: 1.3765, recall: 0.763, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8195, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6789, kappa: 0.4214, kb_relative_information_score: 276.4266, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.682, predictive_accuracy: 0.6926, prior_entropy: 1.3765, recall: 0.6926, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9164, scimark_benchmark: 1348.7888, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7565, kappa: 0.5609, kb_relative_information_score: 299.7199, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.775, predictive_accuracy: 0.763, prior_entropy: 1.3765, recall: 0.763, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8195, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7221, kappa: 0.4977, kb_relative_information_score: 424.2294, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.727, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9437, scimark_benchmark: 942.9708, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6665, kappa: 0.4247, kb_relative_information_score: 221.7485, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6523, predictive_accuracy: 0.6963, prior_entropy: 1.3765, recall: 0.6963, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.9377, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6518, kappa: 0.3808, kb_relative_information_score: 286.0181, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6466, predictive_accuracy: 0.6605, prior_entropy: 1.3765, recall: 0.6605, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0418, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6656, kappa: 0.4188, kb_relative_information_score: 226.0988, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6524, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9281, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1352.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6656, kappa: 0.4188, kb_relative_information_score: 226.0988, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6524, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9281, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6656, kappa: 0.4188, kb_relative_information_score: 226.0988, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6524, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9281, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1343.2125,

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