OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 4523 Supervised Classification tae 229 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7104, kappa: 0.3504, kb_relative_information_score: 312.8068, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7082, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9772, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6763, kappa: 0.2659, kb_relative_information_score: 238.0625, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6767, predictive_accuracy: 0.6927, prior_entropy: 0.9308, recall: 0.6927, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9379, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6951, kappa: 0.3092, kb_relative_information_score: 220.834, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6962, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9397, scimark_benchmark: 941.6675, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.7037, kappa: 0.3346, kb_relative_information_score: 209.3115, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7013, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9754, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7763, kappa: 0.5067, kb_relative_information_score: 531.238, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7774, predictive_accuracy: 0.7755, prior_entropy: 0.9308, recall: 0.7755, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8604, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7763, kappa: 0.5067, kb_relative_information_score: 531.238, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7774, predictive_accuracy: 0.7755, prior_entropy: 0.9308, recall: 0.7755, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8604, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7104, kappa: 0.3504, kb_relative_information_score: 312.8068, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7082, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9772, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 940.1221, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6763, kappa: 0.2659, kb_relative_information_score: 238.0625, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6767, predictive_accuracy: 0.6927, prior_entropy: 0.9308, recall: 0.6927, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9379, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6951, kappa: 0.3092, kb_relative_information_score: 220.834, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6962, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9397, scimark_benchmark: 938.4601, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7763, kappa: 0.5067, kb_relative_information_score: 531.238, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7774, predictive_accuracy: 0.7755, prior_entropy: 0.9308, recall: 0.7755, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8604, scimark_benchmark: 938.988, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7239, kappa: 0.3731, kb_relative_information_score: 309.6832, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7346, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9066, scimark_benchmark: 908.9569, usercpu_time_millis: 790, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.7292, kappa: 0.3853, kb_relative_information_score: 315.7279, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.74, predictive_accuracy: 0.7464, prior_entropy: 0.9308, recall: 0.7464, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9049, scimark_benchmark: 932.438, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7162, kappa: 0.3557, kb_relative_information_score: 312.8026, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7258, predictive_accuracy: 0.7344, prior_entropy: 0.9308, recall: 0.7344, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9074, scimark_benchmark: 935.5664, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7221, kappa: 0.3692, kb_relative_information_score: 322.1437, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.731, predictive_accuracy: 0.7391, prior_entropy: 0.9308, recall: 0.7391, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9056, scimark_benchmark: 891.6381, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7163, kappa: 0.3557, kb_relative_information_score: 298.0451, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7269, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9191, scimark_benchmark: 862.7006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7114, kappa: 0.347, kb_relative_information_score: 310.8137, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7118, predictive_accuracy: 0.7225, prior_entropy: 0.9308, recall: 0.7225, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9548, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7114, kappa: 0.347, kb_relative_information_score: 310.8137, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7118, predictive_accuracy: 0.7225, prior_entropy: 0.9308, recall: 0.7225, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9548, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7114, kappa: 0.347, kb_relative_information_score: 310.8137, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7118, predictive_accuracy: 0.7225, prior_entropy: 0.9308, recall: 0.7225, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9548, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7087, kappa: 0.3408, kb_relative_information_score: 302.5772, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7094, predictive_accuracy: 0.7205, prior_entropy: 0.9308, recall: 0.7205, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9533, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6938, kappa: 0.308, kb_relative_information_score: 235.3087, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6925, predictive_accuracy: 0.7046, prior_entropy: 0.9308, recall: 0.7046, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9723, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: -1.8091, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.662, kappa: 0.2324, kb_relative_information_score: 424.0041, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6673, predictive_accuracy: 0.6868, prior_entropy: 0.9308, recall: 0.6868, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0682, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.6502, kappa: 0.2066, kb_relative_information_score: 378.6376, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6612, predictive_accuracy: 0.6828, prior_entropy: 0.9308, recall: 0.6828, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0983, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.628, kappa: 0.1594, kb_relative_information_score: 334.9002, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6435, predictive_accuracy: 0.6709, prior_entropy: 0.9308, recall: 0.6709, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1288, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 930.5999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7104, kappa: 0.3504, kb_relative_information_score: 312.8068, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7082, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9772, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.7037, kappa: 0.3346, kb_relative_information_score: 209.3115, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7013, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9754, scimark_benchmark: 1317.2327, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 1317.071, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6951, kappa: 0.3092, kb_relative_information_score: 220.834, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6962, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9397, scimark_benchmark: 1313.9976, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.7037, kappa: 0.3346, kb_relative_information_score: 209.3115, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7013, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9754, scimark_benchmark: 1354.5533, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1314.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7067, kappa: 0.3379, kb_relative_information_score: 226.8137, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7055, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9469, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.7037, kappa: 0.3346, kb_relative_information_score: 209.3115, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7013, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9754, scimark_benchmark: 1333.6736, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7763, kappa: 0.5067, kb_relative_information_score: 531.238, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7774, predictive_accuracy: 0.7755, prior_entropy: 0.9308, recall: 0.7755, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8604, scimark_benchmark: 1335.5309, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 1309.4708,

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