Task
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 4205 Supervised Classification squash-unstored 187 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7615, kappa: 0.5981, kb_relative_information_score: 276.7394, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7494, predictive_accuracy: 0.7788, prior_entropy: 1.3486, recall: 0.7788, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8255, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.795, kappa: 0.6391, kb_relative_information_score: 328.1213, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7994, predictive_accuracy: 0.7923, prior_entropy: 1.3486, recall: 0.7923, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8022, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.3814, kappa: -0.1179, kb_relative_information_score: -6.5009, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3671, predictive_accuracy: 0.3981, prior_entropy: 1.3486, recall: 0.3981, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.4554, scimark_benchmark: 904.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.3814, kappa: -0.1179, kb_relative_information_score: -6.5009, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3671, predictive_accuracy: 0.3981, prior_entropy: 1.3486, recall: 0.3981, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.4554, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.5144, kappa: 0.1402, kb_relative_information_score: 67.3242, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.5144, predictive_accuracy: 0.5173, prior_entropy: 1.3486, recall: 0.5173, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.0437, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6852, kappa: 0.4455, kb_relative_information_score: 210.1085, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.6858, predictive_accuracy: 0.6846, prior_entropy: 1.3486, recall: 0.6846, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9564, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.3814, kappa: -0.1179, kb_relative_information_score: -6.5009, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3671, predictive_accuracy: 0.3981, prior_entropy: 1.3486, recall: 0.3981, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.4554, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7671, kappa: 0.6038, kb_relative_information_score: 202.5842, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7893, predictive_accuracy: 0.7846, prior_entropy: 1.3486, recall: 0.7846, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7669, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7615, kappa: 0.5981, kb_relative_information_score: 276.7394, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7494, predictive_accuracy: 0.7788, prior_entropy: 1.3486, recall: 0.7788, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8255, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7933, kappa: 0.6362, kb_relative_information_score: 326.7462, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7982, predictive_accuracy: 0.7904, prior_entropy: 1.3486, recall: 0.7904, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.8058, scimark_benchmark: 608.4057, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.3814, kappa: -0.1179, kb_relative_information_score: -6.5009, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3671, predictive_accuracy: 0.3981, prior_entropy: 1.3486, recall: 0.3981, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.4554, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.3814, kappa: -0.1179, kb_relative_information_score: -6.5009, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3671, predictive_accuracy: 0.3981, prior_entropy: 1.3486, recall: 0.3981, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.4554, scimark_benchmark: 934.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.5144, kappa: 0.1402, kb_relative_information_score: 67.3242, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.5144, predictive_accuracy: 0.5173, prior_entropy: 1.3486, recall: 0.5173, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.0437, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6852, kappa: 0.4455, kb_relative_information_score: 210.1085, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.6858, predictive_accuracy: 0.6846, prior_entropy: 1.3486, recall: 0.6846, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9564, scimark_benchmark: 903.2737, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7671, kappa: 0.6038, kb_relative_information_score: 202.5842, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7893, predictive_accuracy: 0.7846, prior_entropy: 1.3486, recall: 0.7846, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7669, scimark_benchmark: 938.988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.7849, kappa: 0.6326, kb_relative_information_score: 245.6025, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7833, predictive_accuracy: 0.7981, prior_entropy: 1.3486, recall: 0.7981, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.7202, scimark_benchmark: 974.2014, usercpu_time_millis: 1220, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7902, kappa: 0.6486, kb_relative_information_score: 249.6864, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7847, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.7142, scimark_benchmark: 905.2959, usercpu_time_millis: 490, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.7871, kappa: 0.6411, kb_relative_information_score: 247.1873, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7873, predictive_accuracy: 0.8038, prior_entropy: 1.3486, recall: 0.8038, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.7251, scimark_benchmark: 939.3535, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7517, kappa: 0.5772, kb_relative_information_score: 241.4382, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7501, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.739, scimark_benchmark: 908.4147, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7459, kappa: 0.5643, kb_relative_information_score: 234.8283, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7436, predictive_accuracy: 0.7615, prior_entropy: 1.3486, recall: 0.7615, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7693, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3817, f_measure: 0.3672, kappa: -0.1357, kb_relative_information_score: -2.251, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3565, predictive_accuracy: 0.3885, prior_entropy: 1.3486, recall: 0.3885, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.0052, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7652, kappa: 0.5907, kb_relative_information_score: 300.9105, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7716, predictive_accuracy: 0.7654, prior_entropy: 1.3486, recall: 0.7654, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8839, scimark_benchmark: 894.7131, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7607, kappa: 0.5835, kb_relative_information_score: 299.786, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7675, predictive_accuracy: 0.7615, prior_entropy: 1.3486, recall: 0.7615, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.8855, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7544, kappa: 0.5741, kb_relative_information_score: 293.1127, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7568, predictive_accuracy: 0.7596, prior_entropy: 1.3486, recall: 0.7596, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8847, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7304, kappa: 0.5418, kb_relative_information_score: 280.1411, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.722, predictive_accuracy: 0.7462, prior_entropy: 1.3486, recall: 0.7462, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.8859, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7402, kappa: 0.5767, kb_relative_information_score: 271.6182, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.715, predictive_accuracy: 0.7712, prior_entropy: 1.3486, recall: 0.7712, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8847, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4321, f_measure: 0.3672, kappa: -0.1357, kb_relative_information_score: -13.9604, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3565, predictive_accuracy: 0.3885, prior_entropy: 1.3486, recall: 0.3885, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.467, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7597, kappa: 0.5785, kb_relative_information_score: 259.3085, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7604, predictive_accuracy: 0.7596, prior_entropy: 1.3486, recall: 0.7596, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8679, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7492, kappa: 0.5598, kb_relative_information_score: 94.9794, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7494, predictive_accuracy: 0.7519, prior_entropy: 1.3486, recall: 0.7519, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.8969, scimark_benchmark: 923.7471, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.5583, kappa: 0.2286, kb_relative_information_score: 71.3478, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.5382, predictive_accuracy: 0.5846, prior_entropy: 1.3486, recall: 0.5846, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9591, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7615, kappa: 0.5981, kb_relative_information_score: 276.7394, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7494, predictive_accuracy: 0.7788, prior_entropy: 1.3486, recall: 0.7788, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8255, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.795, kappa: 0.6391, kb_relative_information_score: 328.1213, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7994, predictive_accuracy: 0.7923, prior_entropy: 1.3486, recall: 0.7923, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8022, scimark_benchmark: 903.4813, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.6861, kappa: 0.4597, kb_relative_information_score: 223.8034, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7071, predictive_accuracy: 0.6827, prior_entropy: 1.3486, recall: 0.6827, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9721, scimark_benchmark: 945.0194,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7255, kappa: 0.5464, kb_relative_information_score: 121.9497, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.6976, predictive_accuracy: 0.7558, prior_entropy: 1.3486, recall: 0.7558, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8461, scimark_benchmark: 1353.5464, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7933, kappa: 0.6362, kb_relative_information_score: 326.7462, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7982, predictive_accuracy: 0.7904, prior_entropy: 1.3486, recall: 0.7904, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.8058, scimark_benchmark: 1339.3082, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7653, kappa: 0.5864, kb_relative_information_score: 286.7203, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 1.3486, recall: 0.7654, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.354, root_relative_squared_error: 0.8133, scimark_benchmark: 1338.6772, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7671, kappa: 0.6038, kb_relative_information_score: 202.5842, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7893, predictive_accuracy: 0.7846, prior_entropy: 1.3486, recall: 0.7846, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7669, scimark_benchmark: 1344.3409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.3814, kappa: -0.1179, kb_relative_information_score: -6.5009, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3671, predictive_accuracy: 0.3981, prior_entropy: 1.3486, recall: 0.3981, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.4554, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.3814, kappa: -0.1179, kb_relative_information_score: -6.5009, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3671, predictive_accuracy: 0.3981, prior_entropy: 1.3486, recall: 0.3981, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.4554, scimark_benchmark: 1352.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6852, kappa: 0.4455, kb_relative_information_score: 210.1085, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.6858, predictive_accuracy: 0.6846, prior_entropy: 1.3486, recall: 0.6846, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9564, scimark_benchmark: 1331.0107, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.3814, kappa: -0.1179, kb_relative_information_score: -6.5009, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.3671, predictive_accuracy: 0.3981, prior_entropy: 1.3486, recall: 0.3981, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.4554, scimark_benchmark: 1326.7747, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7671, kappa: 0.6038, kb_relative_information_score: 202.5842, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7893, predictive_accuracy: 0.7846, prior_entropy: 1.3486, recall: 0.7846, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7669, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6852, kappa: 0.4455, kb_relative_information_score: 210.1085, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.6858, predictive_accuracy: 0.6846, prior_entropy: 1.3486, recall: 0.6846, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9564, scimark_benchmark: 940.3347, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7671, kappa: 0.6038, kb_relative_information_score: 202.5842, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7893, predictive_accuracy: 0.7846, prior_entropy: 1.3486, recall: 0.7846, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7669, scimark_benchmark: 1281.7531, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.6861, kappa: 0.4597, kb_relative_information_score: 223.8034, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7071, predictive_accuracy: 0.6827, prior_entropy: 1.3486, recall: 0.6827, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9721, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7164, kappa: 0.5035, kb_relative_information_score: 247.1145, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1.3486, recall: 0.7154, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.892, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6852, kappa: 0.4455, kb_relative_information_score: 210.1085, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.6858, predictive_accuracy: 0.6846, prior_entropy: 1.3486, recall: 0.6846, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9564, scimark_benchmark: 1297.2338, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7615, kappa: 0.5981, kb_relative_information_score: 276.7394, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3823, number_of_instances: 520, precision: 0.7494, predictive_accuracy: 0.7788, prior_entropy: 1.3486, recall: 0.7788, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8255, scimark_benchmark: 1261.7298,

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