Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 9978 Supervised Classification ozone-level-8hr 94952 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_73 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.9176, kappa: 0.3218, kb_relative_information_score: -0.0121, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9199, predictive_accuracy: 0.9155, prior_entropy: 0.3398, recall: 0.9155, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2906, root_relative_squared_error: 1.1948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.9329, kappa: 0.3714, kb_relative_information_score: 0.2906, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9408, prior_entropy: 0.3398, recall: 0.9408, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2433, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.9338, kappa: 0.4052, kb_relative_information_score: 0.2575, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.938, prior_entropy: 0.3398, recall: 0.938, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2489, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.9318, kappa: 0.4177, kb_relative_information_score: 0.1913, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.9325, prior_entropy: 0.3398, recall: 0.9325, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2598, root_relative_squared_error: 1.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.9293, kappa: 0.4083, kb_relative_information_score: 0.144, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9286, prior_entropy: 0.3398, recall: 0.9286, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2673, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.932, kappa: 0.3543, kb_relative_information_score: 0.2953, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9412, prior_entropy: 0.3398, recall: 0.9412, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.9309, kappa: 0.4128, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9313, prior_entropy: 0.3398, recall: 0.9313, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.262, root_relative_squared_error: 1.0774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.9198, kappa: 0.3553, kb_relative_information_score: -0.0073, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9242, predictive_accuracy: 0.9159, prior_entropy: 0.3398, recall: 0.9159, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2899, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.9314, kappa: 0.4178, kb_relative_information_score: 0.1818, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.9317, prior_entropy: 0.3398, recall: 0.9317, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2613, root_relative_squared_error: 1.0743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.9342, kappa: 0.4006, kb_relative_information_score: 0.2764, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.9396, prior_entropy: 0.3398, recall: 0.9396, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2457, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.934, kappa: 0.3917, kb_relative_information_score: 0.2859, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.9404, prior_entropy: 0.3398, recall: 0.9404, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2441, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, f_measure: 0.8787, kappa: 0.0537, kb_relative_information_score: -0.5607, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8882, predictive_accuracy: 0.8698, prior_entropy: 0.3398, recall: 0.8698, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3609, root_relative_squared_error: 1.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.9266, kappa: 0.3796, kb_relative_information_score: 0.1204, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9266, predictive_accuracy: 0.9266, prior_entropy: 0.3398, recall: 0.9266, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2709, root_relative_squared_error: 1.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.9363, kappa: 0.3823, kb_relative_information_score: 0.3615, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9369, predictive_accuracy: 0.9467, prior_entropy: 0.3398, recall: 0.9467, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2433, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2433, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2433, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2433, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2433, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.8633, kappa: 0.0178, kb_relative_information_score: -0.8633, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.884, predictive_accuracy: 0.8445, prior_entropy: 0.3398, recall: 0.8445, relative_absolute_error: 1.3109, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3943, root_relative_squared_error: 1.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.8874, kappa: 0.0369, kb_relative_information_score: -0.3337, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8861, predictive_accuracy: 0.8887, prior_entropy: 0.3398, recall: 0.8887, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3336, root_relative_squared_error: 1.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.9315, kappa: 0.3536, kb_relative_information_score: 0.2812, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.94, prior_entropy: 0.3398, recall: 0.94, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2449, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.9323, kappa: 0.3469, kb_relative_information_score: 0.3143, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9428, prior_entropy: 0.3398, recall: 0.9428, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.9326, kappa: 0.3749, kb_relative_information_score: 0.2764, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9396, prior_entropy: 0.3398, recall: 0.9396, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2457, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.9328, kappa: 0.3867, kb_relative_information_score: 0.2622, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9294, predictive_accuracy: 0.9384, prior_entropy: 0.3398, recall: 0.9384, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.9339, kappa: 0.3456, kb_relative_information_score: 0.3615, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.9467, prior_entropy: 0.3398, recall: 0.9467, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.9339, kappa: 0.3456, kb_relative_information_score: 0.3615, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.9467, prior_entropy: 0.3398, recall: 0.9467, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 3.3875, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.9063, kb_relative_information_score: -1149.3621, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9446, scimark_benchmark: 1076.3789, usercpu_time_millis: 8.671, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 7.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.9063, kb_relative_information_score: -1363.9952, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9425, scimark_benchmark: 1748.4695, usercpu_time_millis: 3.204, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 3.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9286, kappa: 0.28, kb_relative_information_score: -717.1303, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8534, scimark_benchmark: 1224.1166, usercpu_time_millis: 15.084, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 14.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -648.0928, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8574, scimark_benchmark: 1074.9249, usercpu_time_millis: 38.797, usercpu_time_millis_testing: 3.219, usercpu_time_millis_training: 35.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -982.7052, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8908, scimark_benchmark: 1832.6873, usercpu_time_millis: 72.175, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 70.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9224, kappa: 0.2052, kb_relative_information_score: -810.0317, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8658, scimark_benchmark: 1753.9149, usercpu_time_millis: 66.385, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 65.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -823.6546, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1743.8598, usercpu_time_millis: 70.509, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 69.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9302, kappa: 0.3048, kb_relative_information_score: -712.1798, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9332, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8585, scimark_benchmark: 1708.6071, usercpu_time_millis: 120.511, usercpu_time_millis_testing: 2.291, usercpu_time_millis_training: 118.22,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 4.6655, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1732.0396, usercpu_time_millis: 3.201, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 2.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -700.8411, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8641, scimark_benchmark: 1838.8956, usercpu_time_millis: 13.378, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 12.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -746.5722, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1726.7615, usercpu_time_millis: 18.405, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 17.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9224, kappa: 0.1965, kb_relative_information_score: -776.6677, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9388, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8625, scimark_benchmark: 1218.5661, usercpu_time_millis: 9.139, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 8.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -1220.7398, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9146, scimark_benchmark: 1139.8301, usercpu_time_millis: 7.904, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 7.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.9063, kb_relative_information_score: -1380.2575, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9445, scimark_benchmark: 1226.9124, usercpu_time_millis: 21.897, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 20.802,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.9101, kappa: 0.0458, kb_relative_information_score: -1198.3208, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9422, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9089, scimark_benchmark: 1817.5051, usercpu_time_millis: 16.99, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 16.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1118.641, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.906, scimark_benchmark: 1242.4436, usercpu_time_millis: 32.537, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 31.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -828.8685, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1849.368, usercpu_time_millis: 42.173, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 41.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.9063, kb_relative_information_score: -1420.2836, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9505, scimark_benchmark: 1733.4112, usercpu_time_millis: 42.785, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 41.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1154.283, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9061, scimark_benchmark: 1833.639, usercpu_time_millis: 66.566, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 65.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9305, kappa: 0.3067, kb_relative_information_score: -728.2319, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8609, scimark_benchmark: 1733.299, usercpu_time_millis: 54.686, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 53.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9236, kappa: 0.2253, kb_relative_information_score: -757.4386, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9268, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.86, scimark_benchmark: 1051.7229, usercpu_time_millis: 98.134, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 96.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -606.9059, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497, scimark_benchmark: 1072.2149, usercpu_time_millis: 39.425, usercpu_time_millis_testing: 1.876, usercpu_time_millis_training: 37.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9219, kappa: 0.1977, kb_relative_information_score: -773.5008, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1764.2809, usercpu_time_millis: 63.104, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 61.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -926.4073, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8771, scimark_benchmark: 1839.7958, usercpu_time_millis: 110.107, usercpu_time_millis_testing: 1.662, usercpu_time_millis_training: 108.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 3.3876, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.9145, kappa: 0.111, kb_relative_information_score: -805.038, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9179, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kb_relative_information_score: -25.0138, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2434, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.902, kappa: 0.194, kb_relative_information_score: -0.206, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9047, predictive_accuracy: 0.8994, prior_entropy: 0.3398, recall: 0.8994, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3172, root_relative_squared_error: 1.3043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2433, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, f_measure: 0.9246, kappa: 0.2773, kb_relative_information_score: 0.2291, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9199, predictive_accuracy: 0.9357, prior_entropy: 0.3398, recall: 0.9357, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2536, root_relative_squared_error: 1.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, kb_relative_information_score: -0.0409, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, recall: 0.9369, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9305, kappa: 0.3067, kb_relative_information_score: 0.2944, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9448, prior_entropy: 0.3398, recall: 0.9448, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -0.0682, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3398, recall: 0.942, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9246, kappa: 0.2473, kb_relative_information_score: -0.0481, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9239, predictive_accuracy: 0.94, prior_entropy: 0.3398, recall: 0.94, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: 0.0576, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3398, recall: 0.9436, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9338, kappa: 0.3568, kb_relative_information_score: 0.3258, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9336, predictive_accuracy: 0.9448, prior_entropy: 0.3398, recall: 0.9448, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9304, kappa: 0.3289, kb_relative_information_score: 0.2319, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9412, prior_entropy: 0.3398, recall: 0.9412, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9278, kappa: 0.2716, kb_relative_information_score: 0.2263, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9334, predictive_accuracy: 0.944, prior_entropy: 0.3398, recall: 0.944, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8833,

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