OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31592 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.8074, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1837.7149, usercpu_time_millis: 52.104, usercpu_time_millis_testing: 8.248, usercpu_time_millis_training: 43.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4326, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1854.9533, usercpu_time_millis: 25.831, usercpu_time_millis_testing: 4.686, usercpu_time_millis_training: 21.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8928, kappa: 0.7293, kb_relative_information_score: 13418.351, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8996, predictive_accuracy: 0.8975, prior_entropy: 0.863, recall: 0.8975, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7099, scimark_benchmark: 1852.9259, usercpu_time_millis: 8.291, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 7.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.2487, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 35.283, usercpu_time_millis_testing: 6.043, usercpu_time_millis_training: 29.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.9831, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1854.568, usercpu_time_millis: 18.34, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 16.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.8469, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 35.359, usercpu_time_millis_testing: 5.822, usercpu_time_millis_training: 29.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -3.3312, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 36.303, usercpu_time_millis_testing: 1.813, usercpu_time_millis_training: 34.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -0.9166, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 19.71, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 18.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9253, kappa: 0.8136, kb_relative_information_score: 23153.8492, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5201, scimark_benchmark: 1848.321, usercpu_time_millis: 52.818, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 51.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9313, kappa: 0.8278, kb_relative_information_score: 19456.368, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5748, scimark_benchmark: 1851.9456, usercpu_time_millis: 42.433, usercpu_time_millis_testing: 2.572, usercpu_time_millis_training: 39.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8686, kappa: 0.6795, kb_relative_information_score: 17486.1711, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.8679, prior_entropy: 0.863, recall: 0.8679, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6752, scimark_benchmark: 1852.4707, usercpu_time_millis: 36.753, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 36.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8607, kappa: 0.6614, kb_relative_information_score: 16643.3605, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8622, predictive_accuracy: 0.8597, prior_entropy: 0.863, recall: 0.8597, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.7046, scimark_benchmark: 1851.3986, usercpu_time_millis: 408.892, usercpu_time_millis_testing: 7.627, usercpu_time_millis_training: 401.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9042, kappa: 0.764, kb_relative_information_score: 20478.104, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9039, predictive_accuracy: 0.9048, prior_entropy: 0.863, recall: 0.9048, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6017, scimark_benchmark: 1803.6578, usercpu_time_millis: 11.562, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 11.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8714, kappa: 0.672, kb_relative_information_score: 13942.6147, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8881, predictive_accuracy: 0.8801, prior_entropy: 0.863, recall: 0.8801, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.7002, scimark_benchmark: 1853.3841, usercpu_time_millis: 38.129, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 35.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.8567, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.4609, usercpu_time_millis: 30.807, usercpu_time_millis_testing: 5.159, usercpu_time_millis_training: 25.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9011, kappa: 0.7502, kb_relative_information_score: 14171.1914, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9079, predictive_accuracy: 0.9052, prior_entropy: 0.863, recall: 0.9052, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6932, scimark_benchmark: 1849.8294, usercpu_time_millis: 39.154, usercpu_time_millis_testing: 3.475, usercpu_time_millis_training: 35.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9432, kappa: 0.86, kb_relative_information_score: 26488.2986, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4627, scimark_benchmark: 1852.4008, usercpu_time_millis: 75.7, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 74.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8673, kappa: 0.6745, kb_relative_information_score: 15633.9277, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8672, predictive_accuracy: 0.8674, prior_entropy: 0.863, recall: 0.8674, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6867, scimark_benchmark: 1821.8184, usercpu_time_millis: 38.201, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 37.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.8528, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.9558, usercpu_time_millis: 40.523, usercpu_time_millis_testing: 5.009, usercpu_time_millis_training: 35.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -2.0217, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1840.7774, usercpu_time_millis: 61.11, usercpu_time_millis_testing: 6.088, usercpu_time_millis_training: 55.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 29339.1951, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3628, scimark_benchmark: 1849.7595, usercpu_time_millis: 65.652, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 64.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.2406, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 39.965, usercpu_time_millis_testing: 2.104, usercpu_time_millis_training: 37.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8608, kappa: 0.6619, kb_relative_information_score: 16766.6053, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8624, predictive_accuracy: 0.8597, prior_entropy: 0.863, recall: 0.8597, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.7004, scimark_benchmark: 1844.8764, usercpu_time_millis: 78.848, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 77.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.0997, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1847.8629, usercpu_time_millis: 51.682, usercpu_time_millis_testing: 7.902, usercpu_time_millis_training: 43.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9608, kappa: 0.9037, kb_relative_information_score: 28636.3715, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385, scimark_benchmark: 1849.7595, usercpu_time_millis: 103.579, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 100.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8745, kappa: 0.6928, kb_relative_information_score: 16456.4118, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8746, predictive_accuracy: 0.8744, prior_entropy: 0.863, recall: 0.8744, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6623, scimark_benchmark: 1746.2876, usercpu_time_millis: 105.019, usercpu_time_millis_testing: 7.191, usercpu_time_millis_training: 97.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.858, kappa: 0.6512, kb_relative_information_score: 15496.2573, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8577, predictive_accuracy: 0.8583, prior_entropy: 0.863, recall: 0.8583, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.737, scimark_benchmark: 1850.2875, usercpu_time_millis: 93.201, usercpu_time_millis_testing: 3.362, usercpu_time_millis_training: 89.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9574, kappa: 0.895, kb_relative_information_score: 27288.5238, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4097, scimark_benchmark: 1809.5152, usercpu_time_millis: 54.064, usercpu_time_millis_testing: 3.901, usercpu_time_millis_training: 50.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8577, kappa: 0.6536, kb_relative_information_score: 15538.6646, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8569, prior_entropy: 0.863, recall: 0.8569, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7407, scimark_benchmark: 1856.0123, usercpu_time_millis: 96.038, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 93.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9025, kappa: 0.7572, kb_relative_information_score: 16044.1957, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.903, predictive_accuracy: 0.9043, prior_entropy: 0.863, recall: 0.9043, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6586, scimark_benchmark: 1848.8462, usercpu_time_millis: 115.228, usercpu_time_millis_testing: 6.908, usercpu_time_millis_training: 108.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9241, kappa: 0.8101, kb_relative_information_score: 24826.6257, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9261, prior_entropy: 0.863, recall: 0.9261, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.5099, scimark_benchmark: 1852.9259, usercpu_time_millis: 495.551, usercpu_time_millis_testing: 2.281, usercpu_time_millis_training: 493.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.909, kappa: 0.774, kb_relative_information_score: 21638.4232, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9093, predictive_accuracy: 0.9104, prior_entropy: 0.863, recall: 0.9104, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5753, scimark_benchmark: 1853.9121, usercpu_time_millis: 120.837, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 119.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9375, kappa: 0.8449, kb_relative_information_score: 24799.4855, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4832, scimark_benchmark: 1818.4176, usercpu_time_millis: 109.417, usercpu_time_millis_testing: 4.466, usercpu_time_millis_training: 104.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.864, kappa: 0.6663, kb_relative_information_score: 16039.3847, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8638, predictive_accuracy: 0.8641, prior_entropy: 0.863, recall: 0.8641, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6912, scimark_benchmark: 1851.3287, usercpu_time_millis: 257.579, usercpu_time_millis_testing: 9.456, usercpu_time_millis_training: 248.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8585, kappa: 0.6554, kb_relative_information_score: 15601.3625, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8595, predictive_accuracy: 0.8578, prior_entropy: 0.863, recall: 0.8578, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7402, scimark_benchmark: 1849.8294, usercpu_time_millis: 237.605, usercpu_time_millis_testing: 7.235, usercpu_time_millis_training: 230.37,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 28931.32, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3834, scimark_benchmark: 1702.1268, usercpu_time_millis: 43.738, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 42.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8847, kb_relative_information_score: 27790.1175, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4216, scimark_benchmark: 1768.6901, usercpu_time_millis: 45.281, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 44.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.6265, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1729.7834, usercpu_time_millis: 86.868, usercpu_time_millis_testing: 7.86, usercpu_time_millis_training: 79.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.9417, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1701.7329, usercpu_time_millis: 88.521, usercpu_time_millis_testing: 5.418, usercpu_time_millis_training: 83.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.1005, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1682.7531, usercpu_time_millis: 87.401, usercpu_time_millis_testing: 5.553, usercpu_time_millis_training: 81.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9662, kappa: 0.9169, kb_relative_information_score: 29491.5506, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3613, scimark_benchmark: 1943.1095, usercpu_time_millis: 125.182, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 123.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9241, kappa: 0.8091, kb_relative_information_score: 18674.9714, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9266, prior_entropy: 0.863, recall: 0.9266, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5942, scimark_benchmark: 1727.4365, usercpu_time_millis: 72.715, usercpu_time_millis_testing: 5.036, usercpu_time_millis_training: 67.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8769, kappa: 0.6992, kb_relative_information_score: 17480.1774, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8773, predictive_accuracy: 0.8765, prior_entropy: 0.863, recall: 0.8765, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6456, scimark_benchmark: 1716.4902, usercpu_time_millis: 93.291, usercpu_time_millis_testing: 4.199, usercpu_time_millis_training: 89.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9376, kappa: 0.8454, kb_relative_information_score: 25879.5292, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4787, scimark_benchmark: 1731.5672, usercpu_time_millis: 84.82, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 83.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29694.0691, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3547, scimark_benchmark: 1705.5722, usercpu_time_millis: 101.001, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 99.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.0686, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1824.7707, usercpu_time_millis: 96.451, usercpu_time_millis_testing: 7.616, usercpu_time_millis_training: 88.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29632.4645, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3547, scimark_benchmark: 1705.983, usercpu_time_millis: 192.932, usercpu_time_millis_testing: 1.966, usercpu_time_millis_training: 190.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8585, kappa: 0.6525, kb_relative_information_score: 15267.0066, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8582, predictive_accuracy: 0.8588, prior_entropy: 0.863, recall: 0.8588, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.7337, scimark_benchmark: 783.1841, usercpu_time_millis: 188.192, usercpu_time_millis_testing: 7.289, usercpu_time_millis_training: 180.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9109, kappa: 0.7776, kb_relative_information_score: 19123.5697, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9124, predictive_accuracy: 0.913, prior_entropy: 0.863, recall: 0.913, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5955, scimark_benchmark: 1826.858, usercpu_time_millis: 185.9, usercpu_time_millis_testing: 6.332, usercpu_time_millis_training: 179.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8582, kappa: 0.6515, kb_relative_information_score: 15329.2471, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8578, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.7338, scimark_benchmark: 1713.1431, usercpu_time_millis: 176.286, usercpu_time_millis_testing: 9.258, usercpu_time_millis_training: 167.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9073, kappa: 0.7681, kb_relative_information_score: 20048.3927, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9091, predictive_accuracy: 0.9096, prior_entropy: 0.863, recall: 0.9096, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5803, scimark_benchmark: 1847.2793, usercpu_time_millis: 143.311, usercpu_time_millis_testing: 7.974, usercpu_time_millis_training: 135.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9128, kappa: 0.78, kb_relative_information_score: 17653.0262, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9198, predictive_accuracy: 0.9164, prior_entropy: 0.863, recall: 0.9164, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.6182, scimark_benchmark: 1894.3919, usercpu_time_millis: 111.453, usercpu_time_millis_testing: 8.164, usercpu_time_millis_training: 103.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9277, kappa: 0.82, kb_relative_information_score: 22910.4037, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9291, prior_entropy: 0.863, recall: 0.9291, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5209, scimark_benchmark: 1684.9371, usercpu_time_millis: 186.854, usercpu_time_millis_testing: 5.051, usercpu_time_millis_training: 181.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9389, kappa: 0.8487, kb_relative_information_score: 25371.8039, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9396, prior_entropy: 0.863, recall: 0.9396, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4748, scimark_benchmark: 1826.8685, usercpu_time_millis: 217.523, usercpu_time_millis_testing: 4.634, usercpu_time_millis_training: 212.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9582, kappa: 0.8972, kb_relative_information_score: 28157.7961, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3986, scimark_benchmark: 1758.5617, usercpu_time_millis: 171.112, usercpu_time_millis_testing: 7.376, usercpu_time_millis_training: 163.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 29844.932, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3435, scimark_benchmark: 1982.1698, usercpu_time_millis: 131.094, usercpu_time_millis_testing: 2.721, usercpu_time_millis_training: 128.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9627, kappa: 0.9083, kb_relative_information_score: 28894.918, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.377, scimark_benchmark: 1758.5007, usercpu_time_millis: 138.296, usercpu_time_millis_testing: 2.865, usercpu_time_millis_training: 135.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8586, kappa: 0.6528, kb_relative_information_score: 15207.8186, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8583, predictive_accuracy: 0.8589, prior_entropy: 0.863, recall: 0.8589, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7319, scimark_benchmark: 1953.0347, usercpu_time_millis: 166.372, usercpu_time_millis_testing: 7.144, usercpu_time_millis_training: 159.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 29203.8896, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3612, scimark_benchmark: 1723.4, usercpu_time_millis: 197.917, usercpu_time_millis_testing: 4.976, usercpu_time_millis_training: 192.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9325, kappa: 0.8324, kb_relative_information_score: 25236.2466, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4999, scimark_benchmark: 1816.8542, usercpu_time_millis: 1788.217, usercpu_time_millis_testing: 5.825, usercpu_time_millis_training: 1782.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9467, kappa: 0.869, kb_relative_information_score: 26848.6453, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9466, predictive_accuracy: 0.9468, prior_entropy: 0.863, recall: 0.9468, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.445, scimark_benchmark: 1706.4307, usercpu_time_millis: 423.634, usercpu_time_millis_testing: 4.388, usercpu_time_millis_training: 419.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.917, kappa: 0.7913, kb_relative_information_score: 23771.119, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5214, scimark_benchmark: 1731.1269, usercpu_time_millis: 367.426, usercpu_time_millis_testing: 3.965, usercpu_time_millis_training: 363.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9409, kappa: 0.8542, kb_relative_information_score: 26179.8521, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4662, scimark_benchmark: 1712.52, usercpu_time_millis: 409.75, usercpu_time_millis_testing: 2.7, usercpu_time_millis_training: 407.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.913, kappa: 0.7836, kb_relative_information_score: 20816.9369, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9137, predictive_accuracy: 0.9146, prior_entropy: 0.863, recall: 0.9146, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5704, scimark_benchmark: 1840.6373, usercpu_time_millis: 381.667, usercpu_time_millis_testing: 8.274, usercpu_time_millis_training: 373.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8614, kappa: 0.6625, kb_relative_information_score: 16540.6289, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8625, predictive_accuracy: 0.8605, prior_entropy: 0.863, recall: 0.8605, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.318, root_relative_squared_error: 0.704, scimark_benchmark: 1725.7822, usercpu_time_millis: 442.665, usercpu_time_millis_testing: 9.696, usercpu_time_millis_training: 432.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9361, kappa: 0.842, kb_relative_information_score: 25501.5281, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4819, scimark_benchmark: 1845.7835, usercpu_time_millis: 463.198, usercpu_time_millis_testing: 4.799, usercpu_time_millis_training: 458.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9302, kappa: 0.8262, kb_relative_information_score: 23741.0764, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5062, scimark_benchmark: 1863.066, usercpu_time_millis: 450.781, usercpu_time_millis_testing: 13.661, usercpu_time_millis_training: 437.12,

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