Task
Supervised Classification on boston

Supervised Classification on boston

Task 3736 Supervised Classification boston 654 runs submitted
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  • 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: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8571, kappa: 0.7044, kb_relative_information_score: 277.9381, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6645, scimark_benchmark: 1345.7204, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8513, kappa: 0.6923, kb_relative_information_score: 345.6269, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8513, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7123, scimark_benchmark: 1151.6869, usercpu_time_millis: 4140, usercpu_time_millis_testing: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8571, kappa: 0.7044, kb_relative_information_score: 277.9381, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6645, scimark_benchmark: 1345.3152, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8571, kappa: 0.7044, kb_relative_information_score: 277.9381, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6645, scimark_benchmark: 1309.4998, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 333.2798, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6468, scimark_benchmark: 1311.9814, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7978, kappa: 0.5886, kb_relative_information_score: 290.3259, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8044, predictive_accuracy: 0.7964, prior_entropy: 0.9782, recall: 0.7964, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.863, scimark_benchmark: 1357.483, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 1327.035, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 333.2798, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6468, scimark_benchmark: 906.4475, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8685, kappa: 0.7275, kb_relative_information_score: 352.422, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8698, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6329, scimark_benchmark: 937.1527, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 1330.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 333.2798, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6468, scimark_benchmark: 1308.3432, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.7113, kappa: 0.4113, kb_relative_information_score: 198.767, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7166, predictive_accuracy: 0.7095, prior_entropy: 0.9782, recall: 0.7095, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0947, scimark_benchmark: 1317.1597, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 326.2386, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6194, scimark_benchmark: 1313.6093, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8316, kappa: 0.65, kb_relative_information_score: 275.6959, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8432, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7199, scimark_benchmark: 1322.7383, usercpu_time_millis: 780, usercpu_time_millis_testing: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8357, kappa: 0.6605, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226, scimark_benchmark: 923.6051, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.0434, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7305, kappa: 0.4542, kb_relative_information_score: -11.2195, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8129, predictive_accuracy: 0.7569, prior_entropy: 0.9782, recall: 0.7569, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9977, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8684, kappa: 0.7271, kb_relative_information_score: 287.2774, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6209, scimark_benchmark: 1360.2771, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8731, kappa: 0.7377, kb_relative_information_score: 353.1025, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6496, scimark_benchmark: 898.1296, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8752, kappa: 0.7419, kb_relative_information_score: 338.7583, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8752, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6398, scimark_benchmark: 855.8522, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6055, kappa: 0.2259, kb_relative_information_score: 150.7105, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7158, predictive_accuracy: 0.664, prior_entropy: 0.9782, recall: 0.664, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1772, scimark_benchmark: 818.6501, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8495, kappa: 0.6889, kb_relative_information_score: 326.5254, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8494, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.76, scimark_benchmark: 1330.668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8495, kappa: 0.6889, kb_relative_information_score: 326.5254, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8494, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.76, scimark_benchmark: 1312.5307, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8732, kappa: 0.738, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1301.9176, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8666, kappa: 0.7236, kb_relative_information_score: 268.4491, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8677, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6532, scimark_benchmark: 1315.4655, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 326.3759, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6195, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8584, kappa: 0.7062, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8602, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608, scimark_benchmark: 1419.2433, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.8255, kappa: 0.6379, kb_relative_information_score: 253.8382, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8468, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7554, scimark_benchmark: 1300.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8441, kappa: 0.6766, kb_relative_information_score: 285.8783, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8465, predictive_accuracy: 0.8459, prior_entropy: 0.9782, recall: 0.8459, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6812, scimark_benchmark: 1347.3845, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.861, kappa: 0.7122, kb_relative_information_score: 318.4946, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7205, scimark_benchmark: 1321.1875, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8643, kappa: 0.7185, kb_relative_information_score: 346.8257, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8664, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6984, scimark_benchmark: 1334.3805, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7959, kappa: 0.5923, kb_relative_information_score: 247.7644, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8169, predictive_accuracy: 0.7945, prior_entropy: 0.9782, recall: 0.7945, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8419, scimark_benchmark: 1325.5087, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876, scimark_benchmark: 1336.2509, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8462, kappa: 0.6834, kb_relative_information_score: 342.177, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8467, predictive_accuracy: 0.8459, prior_entropy: 0.9782, recall: 0.8459, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7954, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8396, kappa: 0.6668, kb_relative_information_score: 294.9284, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8436, predictive_accuracy: 0.8419, prior_entropy: 0.9782, recall: 0.8419, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7126, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.865, kappa: 0.7205, kb_relative_information_score: 313.2036, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8653, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6843, scimark_benchmark: 1354.2491, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8791, kappa: 0.7501, kb_relative_information_score: 378.4564, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8791, predictive_accuracy: 0.8794, prior_entropy: 0.9782, recall: 0.8794, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7052, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.4825, kappa: 0.0321, kb_relative_information_score: 73.4023, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.57, predictive_accuracy: 0.5909, prior_entropy: 0.9782, recall: 0.5909, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6396, root_relative_squared_error: 1.299, scimark_benchmark: 1280.6952, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8617, kappa: 0.7147, kb_relative_information_score: 342.0224, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8617, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7281, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8462, kappa: 0.681, kb_relative_information_score: 345.0258, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8483, predictive_accuracy: 0.8478, prior_entropy: 0.9782, recall: 0.8478, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7923, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8419, kappa: 0.6739, kb_relative_information_score: 338.7576, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8419, predictive_accuracy: 0.8419, prior_entropy: 0.9782, recall: 0.8419, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8075, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.0434, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.4476, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7229, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8098, kappa: 0.6163, kb_relative_information_score: 302.8548, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8229, predictive_accuracy: 0.8083, prior_entropy: 0.9782, recall: 0.8083, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8182, scimark_benchmark: 931.2336, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8331, kappa: 0.6596, kb_relative_information_score: 319.9102, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8382, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.765, scimark_benchmark: 945.6434, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8209, kappa: 0.6325, kb_relative_information_score: 291.1012, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8226, predictive_accuracy: 0.8202, prior_entropy: 0.9782, recall: 0.8202, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6979, scimark_benchmark: 941.7954, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8209, kappa: 0.6325, kb_relative_information_score: 291.1012, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8226, predictive_accuracy: 0.8202, prior_entropy: 0.9782, recall: 0.8202, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6979, scimark_benchmark: 923.7642, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8209, kappa: 0.6325, kb_relative_information_score: 291.1012, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8226, predictive_accuracy: 0.8202, prior_entropy: 0.9782, recall: 0.8202, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6979, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8604, kappa: 0.7106, kb_relative_information_score: 362.1002, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.862, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7128, scimark_benchmark: 911.3823, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8665, kappa: 0.7232, kb_relative_information_score: 360.2086, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.868, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7158, scimark_benchmark: 938.2848, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.864, kappa: 0.7176, kb_relative_information_score: 361.2857, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8672, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7146, scimark_benchmark: 936.6206, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8548, kappa: 0.6993, kb_relative_information_score: 352.8128, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8555, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7264, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8518, kappa: 0.6923, kb_relative_information_score: 347.6859, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8554, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7482, scimark_benchmark: 938.4285, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8731, kappa: 0.7377, kb_relative_information_score: 353.1025, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6496, scimark_benchmark: 933.8635, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8752, kappa: 0.7419, kb_relative_information_score: 338.7583, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8752, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6398, scimark_benchmark: 945.6434, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8653, kappa: 0.7217, kb_relative_information_score: 329.7921, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8653, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6489, scimark_benchmark: 947.9494, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,

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