Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 145862 Supervised Classification qsar-biodeg 115390 runs submitted
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115390 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8446, kappa: 0.6478, kb_relative_information_score: 557.5195, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8453, predictive_accuracy: 0.8474, prior_entropy: 0.9226, recall: 0.8474, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7324, kappa: 0.4728, kb_relative_information_score: 293.6646, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8119, predictive_accuracy: 0.7261, prior_entropy: 0.9226, recall: 0.7261, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7305, kappa: 0.4691, kb_relative_information_score: 357.1494, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8099, predictive_accuracy: 0.7242, prior_entropy: 0.9226, recall: 0.7242, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8255, kappa: 0.6046, kb_relative_information_score: 508.6948, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8256, predictive_accuracy: 0.8284, prior_entropy: 0.9226, recall: 0.8284, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7305, kappa: 0.4697, kb_relative_information_score: 376.4663, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8111, predictive_accuracy: 0.7242, prior_entropy: 0.9226, recall: 0.7242, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8211, kappa: 0.6027, kb_relative_information_score: 566.023, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8228, predictive_accuracy: 0.8199, prior_entropy: 0.9226, recall: 0.8199, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8539, kappa: 0.6731, kb_relative_information_score: 700.6012, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8221, kappa: 0.6051, kb_relative_information_score: 571.6413, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8239, predictive_accuracy: 0.8209, prior_entropy: 0.9226, recall: 0.8209, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8076, kappa: 0.5723, kb_relative_information_score: 569.462, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.809, predictive_accuracy: 0.8066, prior_entropy: 0.9226, recall: 0.8066, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7768, kappa: 0.5414, kb_relative_information_score: 366.2759, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8237, predictive_accuracy: 0.7706, prior_entropy: 0.9226, recall: 0.7706, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8516, kappa: 0.6638, kb_relative_information_score: 688.6377, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8522, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8574, kappa: 0.6803, kb_relative_information_score: 575.8449, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8571, predictive_accuracy: 0.8578, prior_entropy: 0.9226, recall: 0.8578, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.7332, kappa: 0.4755, kb_relative_information_score: 388.6248, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8147, predictive_accuracy: 0.727, prior_entropy: 0.9226, recall: 0.727, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7288, kappa: 0.4462, kb_relative_information_score: 379.0168, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.779, predictive_accuracy: 0.7213, prior_entropy: 0.9226, recall: 0.7213, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8545, kappa: 0.6719, kb_relative_information_score: 618.5009, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8542, predictive_accuracy: 0.8559, prior_entropy: 0.9226, recall: 0.8559, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.845, kappa: 0.6493, kb_relative_information_score: 508.8343, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8453, predictive_accuracy: 0.8474, prior_entropy: 0.9226, recall: 0.8474, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: -0.1873, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8316, kappa: 0.6219, kb_relative_information_score: 559.9717, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8311, predictive_accuracy: 0.8322, prior_entropy: 0.9226, recall: 0.8322, relative_absolute_error: 0.4657, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8054, kappa: 0.5663, kb_relative_information_score: 452.5943, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8062, predictive_accuracy: 0.8047, prior_entropy: 0.9226, recall: 0.8047, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8526, kappa: 0.6716, kb_relative_information_score: 570.6524, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8533, predictive_accuracy: 0.8521, prior_entropy: 0.9226, recall: 0.8521, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8549, kappa: 0.672, kb_relative_information_score: 622.484, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8551, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.848, kappa: 0.6594, kb_relative_information_score: 639.5977, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8478, predictive_accuracy: 0.8483, prior_entropy: 0.9226, recall: 0.8483, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.7693, kappa: 0.5325, kb_relative_information_score: 470.7461, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8271, predictive_accuracy: 0.763, prior_entropy: 0.9226, recall: 0.763, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.8317, kappa: 0.618, kb_relative_information_score: 647.2094, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8326, predictive_accuracy: 0.8351, prior_entropy: 0.9226, recall: 0.8351, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.6879, kappa: 0.3946, kb_relative_information_score: 275.3702, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.777, predictive_accuracy: 0.6815, prior_entropy: 0.9226, recall: 0.6815, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8676, kappa: 0.7009, kb_relative_information_score: 595.2858, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7513, kappa: 0.4326, kb_relative_information_score: 459.8765, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7517, predictive_accuracy: 0.7592, prior_entropy: 0.9226, recall: 0.7592, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.7768, kappa: 0.5447, kb_relative_information_score: 484.6665, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8296, predictive_accuracy: 0.7706, prior_entropy: 0.9226, recall: 0.7706, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8085, kappa: 0.5845, kb_relative_information_score: 564.6764, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8202, predictive_accuracy: 0.8047, prior_entropy: 0.9226, recall: 0.8047, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.848, kappa: 0.6594, kb_relative_information_score: 639.5977, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8478, predictive_accuracy: 0.8483, prior_entropy: 0.9226, recall: 0.8483, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.8088, kappa: 0.5665, kb_relative_information_score: 591.0095, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8088, predictive_accuracy: 0.8123, prior_entropy: 0.9226, recall: 0.8123, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8693, kappa: 0.7044, kb_relative_information_score: 572.7396, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6596, scimark_benchmark: 1742.9693, usercpu_time_millis: 44.485, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 43.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8646, kappa: 0.6956, kb_relative_information_score: 613.6232, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8643, predictive_accuracy: 0.8654, prior_entropy: 0.9226, recall: 0.8654, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6585, scimark_benchmark: 1749.1113, usercpu_time_millis: 37.973, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 36.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.867, kappa: 0.7002, kb_relative_information_score: 594.406, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8669, predictive_accuracy: 0.8682, prior_entropy: 0.9226, recall: 0.8682, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6494, scimark_benchmark: 1853.8358, usercpu_time_millis: 33.823, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 32.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8655, kappa: 0.6961, kb_relative_information_score: 577.5362, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8658, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6534, scimark_benchmark: 1742.1425, usercpu_time_millis: 24.938, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 24.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8343, kappa: 0.6225, kb_relative_information_score: 446.2713, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8373, predictive_accuracy: 0.8389, prior_entropy: 0.9226, recall: 0.8389, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7366, scimark_benchmark: 1739.7743, usercpu_time_millis: 14.431, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 13.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8537, kappa: 0.6678, kb_relative_information_score: 511.0413, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8556, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6982, scimark_benchmark: 1744.1723, usercpu_time_millis: 12.147, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 11.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8277, kappa: 0.6078, kb_relative_information_score: 431.1761, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.83, predictive_accuracy: 0.8322, prior_entropy: 0.9226, recall: 0.8322, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7478, scimark_benchmark: 1733.2433, usercpu_time_millis: 7.888, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 7.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8589, kappa: 0.6828, kb_relative_information_score: 611.4404, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8585, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6597, scimark_benchmark: 1743.361, usercpu_time_millis: 6.588, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 6.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8568, kappa: 0.6751, kb_relative_information_score: 524.1169, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8584, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6707, scimark_benchmark: 1743.9182, usercpu_time_millis: 11.719, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 10.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8514, kappa: 0.6633, kb_relative_information_score: 498.6552, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8522, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.693, scimark_benchmark: 1740.0648, usercpu_time_millis: 3.919, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 3.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8577, kappa: 0.6783, kb_relative_information_score: 565.5644, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.858, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6551, scimark_benchmark: 1743.9763, usercpu_time_millis: 9.84, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 9.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8525, kappa: 0.6658, kb_relative_information_score: 527.9396, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8532, predictive_accuracy: 0.855, prior_entropy: 0.9226, recall: 0.855, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6709, scimark_benchmark: 1749.1113, usercpu_time_millis: 4.109, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 3.745,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7586, kappa: 0.4495, kb_relative_information_score: 228.124, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.759, predictive_accuracy: 0.7659, prior_entropy: 0.9226, recall: 0.7659, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8613, scimark_benchmark: 1742.5395, usercpu_time_millis: 2.439, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 2.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7454, kappa: 0.417, kb_relative_information_score: 209.5889, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7484, predictive_accuracy: 0.7564, prior_entropy: 0.9226, recall: 0.7564, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8721, scimark_benchmark: 1745.9375, usercpu_time_millis: 2.024, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7663, kappa: 0.4764, kb_relative_information_score: 301.5063, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7659, predictive_accuracy: 0.7668, prior_entropy: 0.9226, recall: 0.7668, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8207, scimark_benchmark: 1744.1084, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8525, kappa: 0.6649, kb_relative_information_score: 504.2329, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8547, predictive_accuracy: 0.8559, prior_entropy: 0.9226, recall: 0.8559, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7019, scimark_benchmark: 1766.0745, usercpu_time_millis: 19.826, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 19.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8355, kappa: 0.6247, kb_relative_information_score: 470.8295, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8408, prior_entropy: 0.9226, recall: 0.8408, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7147, scimark_benchmark: 1756.4217, usercpu_time_millis: 3.414, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 3.259,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.867, kappa: 0.7002, kb_relative_information_score: 602.2232, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8669, predictive_accuracy: 0.8682, prior_entropy: 0.9226, recall: 0.8682, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6501, scimark_benchmark: 1868.2531, usercpu_time_millis: 32.041, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 31.239,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8523, kappa: 0.6639, kb_relative_information_score: 532.4935, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.855, predictive_accuracy: 0.8559, prior_entropy: 0.9226, recall: 0.8559, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6737, scimark_benchmark: 1764.1111, usercpu_time_millis: 10.408, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 9.705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8585, kappa: 0.6798, kb_relative_information_score: 551.1618, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6674, scimark_benchmark: 1771.3377, usercpu_time_millis: 3.052, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 2.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8641, kappa: 0.6935, kb_relative_information_score: 598.3369, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8639, predictive_accuracy: 0.8654, prior_entropy: 0.9226, recall: 0.8654, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6591, scimark_benchmark: 1745.8253, usercpu_time_millis: 43.741, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 43.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8625, kappa: 0.6905, kb_relative_information_score: 607.504, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8622, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6566, scimark_benchmark: 1862.1663, usercpu_time_millis: 38.101, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 37.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8574, kappa: 0.6769, kb_relative_information_score: 551.2224, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8581, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6676, scimark_benchmark: 1751.3544, usercpu_time_millis: 22.97, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 22.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8617, kappa: 0.6874, kb_relative_information_score: 550.6559, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8619, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6674, scimark_benchmark: 1783.3573, usercpu_time_millis: 18.644, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 17.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8637, kappa: 0.6922, kb_relative_information_score: 573.5682, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8639, predictive_accuracy: 0.8654, prior_entropy: 0.9226, recall: 0.8654, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6568, scimark_benchmark: 1770.507, usercpu_time_millis: 15.495, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 15.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8659, kappa: 0.6974, kb_relative_information_score: 591.8484, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8658, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6503, scimark_benchmark: 1742.4434, usercpu_time_millis: 14.288, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 13.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8621, kappa: 0.6876, kb_relative_information_score: 558.2833, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8631, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6638, scimark_benchmark: 1748.5245, usercpu_time_millis: 9.059, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 8.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8598, kappa: 0.6831, kb_relative_information_score: 536.0317, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6754, scimark_benchmark: 1740.8392, usercpu_time_millis: 11.592, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 11.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8666, kappa: 0.6985, kb_relative_information_score: 588.0906, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8668, predictive_accuracy: 0.8682, prior_entropy: 0.9226, recall: 0.8682, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6523, scimark_benchmark: 1743.4191, usercpu_time_millis: 10.866, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 10.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7638, kappa: 0.4762, kb_relative_information_score: 321.688, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7663, predictive_accuracy: 0.7621, prior_entropy: 0.9226, recall: 0.7621, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.821, scimark_benchmark: 1867.725, usercpu_time_millis: 11.617, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 11.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8334, kappa: 0.6197, kb_relative_information_score: 447.4763, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8382, predictive_accuracy: 0.8389, prior_entropy: 0.9226, recall: 0.8389, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7247, scimark_benchmark: 1769.5722, usercpu_time_millis: 8.724, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 8.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.863, kappa: 0.6907, kb_relative_information_score: 604.1336, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6494, scimark_benchmark: 1763.8436, usercpu_time_millis: 7.179, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 6.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8746, kappa: 0.717, kb_relative_information_score: 607.2386, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8746, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6464, scimark_benchmark: 1863.4543, usercpu_time_millis: 7.921, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 7.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.866, kappa: 0.6978, kb_relative_information_score: 584.1791, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8659, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6507, scimark_benchmark: 1769.1609, usercpu_time_millis: 5.539, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 5.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8491, kappa: 0.6565, kb_relative_information_score: 486.981, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8522, predictive_accuracy: 0.8531, prior_entropy: 0.9226, recall: 0.8531, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.339, root_relative_squared_error: 0.717, scimark_benchmark: 1784.7289, usercpu_time_millis: 7.755, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 7.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8514, kappa: 0.6619, kb_relative_information_score: 476.5658, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8539, predictive_accuracy: 0.855, prior_entropy: 0.9226, recall: 0.855, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7146, scimark_benchmark: 1746.2876, usercpu_time_millis: 1.671, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8584, kappa: 0.6793, kb_relative_information_score: 529.9239, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8591, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6746, scimark_benchmark: 1863.4543, usercpu_time_millis: 4.638, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 4.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8641, kappa: 0.6935, kb_relative_information_score: 597.9375, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8639, predictive_accuracy: 0.8654, prior_entropy: 0.9226, recall: 0.8654, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6483, scimark_benchmark: 1784.3496, usercpu_time_millis: 4.371, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 4.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7612, kappa: 0.4594, kb_relative_information_score: 254.5442, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7598, predictive_accuracy: 0.7649, prior_entropy: 0.9226, recall: 0.7649, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8465, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.752, kappa: 0.4392, kb_relative_information_score: 232.2107, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7504, predictive_accuracy: 0.7555, prior_entropy: 0.9226, recall: 0.7555, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8664, scimark_benchmark: 1774.5141, usercpu_time_millis: 3.327, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 3.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8634, kappa: 0.6924, kb_relative_information_score: 609.4151, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8631, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6583, scimark_benchmark: 1865.5486, usercpu_time_millis: 30.58, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 30.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8666, kappa: 0.6985, kb_relative_information_score: 588.7089, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8668, predictive_accuracy: 0.8682, prior_entropy: 0.9226, recall: 0.8682, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6529, scimark_benchmark: 1864.5074, usercpu_time_millis: 27.319, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 26.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8659, kappa: 0.6974, kb_relative_information_score: 590.7298, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8658, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6663, scimark_benchmark: 1861.1282, usercpu_time_millis: 27.125, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 26.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8615, kappa: 0.6881, kb_relative_information_score: 600.1542, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8612, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6585, scimark_benchmark: 1855.9428, usercpu_time_millis: 20.155, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 19.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8552, kappa: 0.6716, kb_relative_information_score: 527.0313, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8562, predictive_accuracy: 0.8578, prior_entropy: 0.9226, recall: 0.8578, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6831, scimark_benchmark: 1870.1619, usercpu_time_millis: 16.3, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 15.836,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs