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OpenML
Task
Supervised Classification on fri_c3_1000_25

Supervised Classification on fri_c3_1000_25

Task 3581 Supervised Classification fri_c3_1000_25 399 runs submitted
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Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6032, kappa: 0.1946, kb_relative_information_score: 143.2768, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6026, predictive_accuracy: 0.604, prior_entropy: 0.9906, recall: 0.604, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0489, scimark_benchmark: 825.5282, usercpu_time_millis: 330, usercpu_time_millis_testing: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.3712, kappa: 0.0723, kb_relative_information_score: -41.3873, mean_absolute_error: 0.511, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7213, predictive_accuracy: 0.489, prior_entropy: 0.9906, recall: 0.489, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.7148, root_relative_squared_error: 1.4391, scimark_benchmark: 940.3347, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.4757, kappa: 0.067, kb_relative_information_score: 144.0585, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6216, predictive_accuracy: 0.58, prior_entropy: 0.9906, recall: 0.58, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3047, scimark_benchmark: 939.5205, usercpu_time_millis: 1370, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6695, kappa: 0.3316, kb_relative_information_score: 325.4286, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6703, predictive_accuracy: 0.669, prior_entropy: 0.9906, recall: 0.669, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1582, scimark_benchmark: 1386.5717, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.669, kappa: 0.3279, kb_relative_information_score: 176.3744, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9906, recall: 0.67, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9278, scimark_benchmark: 938.343, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.6697, kappa: 0.3301, kb_relative_information_score: 327.4664, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6694, predictive_accuracy: 0.67, prior_entropy: 0.9906, recall: 0.67, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1565, scimark_benchmark: 939.449, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8579, kappa: 0.7119, kb_relative_information_score: 673.3542, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9906, recall: 0.858, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6776, scimark_benchmark: 1304.6687, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8858, kappa: 0.7681, kb_relative_information_score: 533.4557, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.886, predictive_accuracy: 0.886, prior_entropy: 0.9906, recall: 0.886, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6178, scimark_benchmark: 1066.7184, usercpu_time_millis: 480, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7851, kappa: 0.5648, kb_relative_information_score: 561.821, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7853, predictive_accuracy: 0.785, prior_entropy: 0.9906, recall: 0.785, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9334, scimark_benchmark: 1361.1055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8642, kappa: 0.7252, kb_relative_information_score: 652.9512, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9906, recall: 0.864, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6698, scimark_benchmark: 1319.9043, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8628, kappa: 0.7218, kb_relative_information_score: 659.8123, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8628, predictive_accuracy: 0.863, prior_entropy: 0.9906, recall: 0.863, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6941, scimark_benchmark: 1354.2491, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.6015, kappa: 0.2386, kb_relative_information_score: 284.6713, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6971, predictive_accuracy: 0.649, prior_entropy: 0.9906, recall: 0.649, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.1927, scimark_benchmark: 825.5282, usercpu_time_millis: 1110, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.272, kb_relative_information_score: -135.1291, mean_absolute_error: 0.557, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.1962, predictive_accuracy: 0.443, prior_entropy: 0.9906, recall: 0.443, relative_absolute_error: 1.1286, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.7463, root_relative_squared_error: 1.5024, scimark_benchmark: 1372.2145, usercpu_time_millis: 270, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.88, kappa: 0.7567, kb_relative_information_score: 742.5437, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9906, recall: 0.88, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6405, scimark_benchmark: 868.2731, usercpu_time_millis: 5750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8643, kappa: 0.7257, kb_relative_information_score: 689.8166, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8652, predictive_accuracy: 0.864, prior_entropy: 0.9906, recall: 0.864, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6857, scimark_benchmark: 1358.4523, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7474, kappa: 0.4872, kb_relative_information_score: 486.42, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7473, predictive_accuracy: 0.748, prior_entropy: 0.9906, recall: 0.748, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0106, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8604, kappa: 0.7163, kb_relative_information_score: 716.6988, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8614, predictive_accuracy: 0.861, prior_entropy: 0.9906, recall: 0.861, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7505, scimark_benchmark: 1353.5686, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.3985, kb_relative_information_score: -0.0354, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.3102, predictive_accuracy: 0.557, prior_entropy: 0.9906, recall: 0.557, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8691, kappa: 0.7349, kb_relative_information_score: 724.0115, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8692, predictive_accuracy: 0.869, prior_entropy: 0.9906, recall: 0.869, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.708, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6809, kappa: 0.352, kb_relative_information_score: 298.7041, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6806, predictive_accuracy: 0.682, prior_entropy: 0.9906, recall: 0.682, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0216, scimark_benchmark: 931.2336, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6698, kappa: 0.3295, kb_relative_information_score: 240.5051, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6695, predictive_accuracy: 0.671, prior_entropy: 0.9906, recall: 0.671, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9788, scimark_benchmark: 932.3943, usercpu_time_millis: 360, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.6583, kappa: 0.3056, kb_relative_information_score: 192.7749, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.658, predictive_accuracy: 0.66, prior_entropy: 0.9906, recall: 0.66, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.947, scimark_benchmark: 941.7954, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.6583, kappa: 0.3056, kb_relative_information_score: 192.7749, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.658, predictive_accuracy: 0.66, prior_entropy: 0.9906, recall: 0.66, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.947, scimark_benchmark: 923.7642, usercpu_time_millis: 290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.6583, kappa: 0.3056, kb_relative_information_score: 192.7749, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.658, predictive_accuracy: 0.66, prior_entropy: 0.9906, recall: 0.66, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.947, scimark_benchmark: 894.7455, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.892, kappa: 0.7812, kb_relative_information_score: 768.5459, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9906, recall: 0.892, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5913, scimark_benchmark: 894.7455, usercpu_time_millis: 1660, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8763, kappa: 0.7502, kb_relative_information_score: 723.1418, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8778, predictive_accuracy: 0.876, prior_entropy: 0.9906, recall: 0.876, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6414, scimark_benchmark: 936.6206, usercpu_time_millis: 830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8454, kappa: 0.6884, kb_relative_information_score: 652.575, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8479, predictive_accuracy: 0.845, prior_entropy: 0.9906, recall: 0.845, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7165, scimark_benchmark: 942.1229, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7824, kappa: 0.5605, kb_relative_information_score: 532.717, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7836, predictive_accuracy: 0.782, prior_entropy: 0.9906, recall: 0.782, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8312, scimark_benchmark: 922.9039, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7283, kappa: 0.4476, kb_relative_information_score: 424.8206, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7305, predictive_accuracy: 0.731, prior_entropy: 0.9906, recall: 0.731, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9217, scimark_benchmark: 938.9865, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.896, kappa: 0.7892, kb_relative_information_score: 746.5916, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9906, recall: 0.896, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5452, scimark_benchmark: 936.6206, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.881, kappa: 0.7589, kb_relative_information_score: 628.7876, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.881, predictive_accuracy: 0.881, prior_entropy: 0.9906, recall: 0.881, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5813, scimark_benchmark: 947.9494, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8569, kappa: 0.7098, kb_relative_information_score: 526.2207, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8568, predictive_accuracy: 0.857, prior_entropy: 0.9906, recall: 0.857, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6602, scimark_benchmark: 929.566, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.3985, kb_relative_information_score: -0.0354, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.3102, predictive_accuracy: 0.557, prior_entropy: 0.9906, recall: 0.557, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.508, kappa: 0.1801, kb_relative_information_score: 103.7008, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6928, predictive_accuracy: 0.559, prior_entropy: 0.9906, recall: 0.559, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0005, scimark_benchmark: 929.566, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8659, kappa: 0.728, kb_relative_information_score: 568.2765, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9906, recall: 0.866, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6497, scimark_benchmark: 933.8635, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8692, kappa: 0.7357, kb_relative_information_score: 570.8966, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8701, predictive_accuracy: 0.869, prior_entropy: 0.9906, recall: 0.869, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6242, scimark_benchmark: 902.4773, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.3985, kb_relative_information_score: -0.0354, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.3102, predictive_accuracy: 0.557, prior_entropy: 0.9906, recall: 0.557, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8569, kappa: 0.7098, kb_relative_information_score: 526.2207, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8568, predictive_accuracy: 0.857, prior_entropy: 0.9906, recall: 0.857, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6602, scimark_benchmark: 911.0478, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 97.1876, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.3102, predictive_accuracy: 0.557, prior_entropy: 0.9906, recall: 0.557, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.3399, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8691, kappa: 0.7349, kb_relative_information_score: 724.0115, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8692, predictive_accuracy: 0.869, prior_entropy: 0.9906, recall: 0.869, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.708, scimark_benchmark: 904.3001, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8897, kappa: 0.7762, kb_relative_information_score: 463.6977, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8901, predictive_accuracy: 0.89, prior_entropy: 0.9906, recall: 0.89, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6683, scimark_benchmark: 943.2817, usercpu_time_millis: 3860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7197, kappa: 0.4301, kb_relative_information_score: 191.9337, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.721, predictive_accuracy: 0.722, prior_entropy: 0.9906, recall: 0.722, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8885, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9168, kappa: 0.8312, kb_relative_information_score: 830.0316, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.9172, predictive_accuracy: 0.917, prior_entropy: 0.9906, recall: 0.917, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.579, scimark_benchmark: 945.3151, usercpu_time_millis: 7790, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 7720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9148, kappa: 0.827, kb_relative_information_score: 825.6274, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.9152, predictive_accuracy: 0.915, prior_entropy: 0.9906, recall: 0.915, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5876, scimark_benchmark: 942.6953, usercpu_time_millis: 16010, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 15880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8929, kappa: 0.7828, kb_relative_information_score: 775.7675, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8929, predictive_accuracy: 0.893, prior_entropy: 0.9906, recall: 0.893, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6168, scimark_benchmark: 922.5647, usercpu_time_millis: 1880, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.6447, kappa: 0.2823, kb_relative_information_score: 169.6092, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6461, predictive_accuracy: 0.644, prior_entropy: 0.9906, recall: 0.644, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9602, scimark_benchmark: 902.4773, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9108, kappa: 0.819, kb_relative_information_score: 804.2849, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.9111, predictive_accuracy: 0.911, prior_entropy: 0.9906, recall: 0.911, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5413, scimark_benchmark: 935.8986, usercpu_time_millis: 1550, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.4757, kappa: 0.067, kb_relative_information_score: 144.0585, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6216, predictive_accuracy: 0.58, prior_entropy: 0.9906, recall: 0.58, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3047, scimark_benchmark: 943.2817, usercpu_time_millis: 1170, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6669, kappa: 0.3358, kb_relative_information_score: 319.315, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6767, predictive_accuracy: 0.666, prior_entropy: 0.9906, recall: 0.666, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5779, root_relative_squared_error: 1.1634, scimark_benchmark: 939.0833, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,

    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