OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -619.1205, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1839.2203, usercpu_time_millis: 7.808, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 7.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -939.4024, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8773, scimark_benchmark: 1826.744, usercpu_time_millis: 9.961, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 9.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -973.3118, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8769, scimark_benchmark: 1818.9733, usercpu_time_millis: 51.911, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 50.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9286, kappa: 0.2912, kb_relative_information_score: -603.1245, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1740.2838, usercpu_time_millis: 75.014, usercpu_time_millis_testing: 1.753, usercpu_time_millis_training: 73.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -919.1189, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8778, scimark_benchmark: 1847.0336, usercpu_time_millis: 5.437, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 5.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 4.3756, 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: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1730.5329, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.116,
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: 0.8946, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -927.2802, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8777, scimark_benchmark: 1845.7061, usercpu_time_millis: 81.026, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 80.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9275, kappa: 0.262, kb_relative_information_score: -693.7164, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8492, scimark_benchmark: 1851.4874, usercpu_time_millis: 37.042, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 36.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -718.3084, mean_absolute_error: 0.0934, 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: 0.7874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8551, scimark_benchmark: 1844.7928, usercpu_time_millis: 12.179, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 11.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -806.7132, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8637, scimark_benchmark: 1841.1522, usercpu_time_millis: 8.713, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 8.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9063, kb_relative_information_score: -1116.5396, mean_absolute_error: 0.1028, 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: 0.8671, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9062, scimark_benchmark: 1761.5577, usercpu_time_millis: 6.503, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 6.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.9255, kappa: 0.2493, kb_relative_information_score: -799.7348, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9285, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8573, scimark_benchmark: 1841.3483, usercpu_time_millis: 97.176, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 96.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9274, kappa: 0.2725, kb_relative_information_score: -734.574, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8598, scimark_benchmark: 1743.0813, usercpu_time_millis: 53.397, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 52.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9063, kb_relative_information_score: -1427.0528, 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: 0.9174, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9449, scimark_benchmark: 1740.7199, usercpu_time_millis: 31.373, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 30.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -794.9748, mean_absolute_error: 0.0978, 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: 0.8243, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8756, scimark_benchmark: 1753.4271, usercpu_time_millis: 13.289, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 12.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.9063, kb_relative_information_score: -1602.1538, mean_absolute_error: 0.1094, 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: 0.9224, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9522, scimark_benchmark: 1737.2725, usercpu_time_millis: 46.575, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 45.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -1017.3607, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9166, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9003, scimark_benchmark: 1884.8213, usercpu_time_millis: 47.738, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 47.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -818.7585, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8736, scimark_benchmark: 1733.0952, usercpu_time_millis: 37.845, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 36.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.9063, kb_relative_information_score: -1046.2308, mean_absolute_error: 0.1046, 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: 0.8819, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9144, scimark_benchmark: 1892.0911, usercpu_time_millis: 8.037, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 7.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -732.1457, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1777.0015, usercpu_time_millis: 28.615, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 27.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9219, kappa: 0.1977, kb_relative_information_score: -821.0586, mean_absolute_error: 0.0948, 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: 0.7989, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8598, scimark_benchmark: 1720.8422, usercpu_time_millis: 25.724, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 25.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9224, kappa: 0.1965, kb_relative_information_score: -669.5697, mean_absolute_error: 0.0952, 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: 0.8024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1807.5947, usercpu_time_millis: 16.738, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 15.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.9063, kb_relative_information_score: -1210.7209, mean_absolute_error: 0.1097, 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: 0.9253, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9528, scimark_benchmark: 1855.4813, usercpu_time_millis: 18.29, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 17.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -750.7447, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.855, scimark_benchmark: 1874.7025, usercpu_time_millis: 21.394, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 20.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -1247.6504, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9074, scimark_benchmark: 1843.7819, usercpu_time_millis: 16.439, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 16.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -977.2356, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9243, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8822, scimark_benchmark: 1853.9121, usercpu_time_millis: 9.425, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 9.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9219, kappa: 0.1977, kb_relative_information_score: -822.4419, mean_absolute_error: 0.0953, 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: 0.8036, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8687, scimark_benchmark: 1951.1347, usercpu_time_millis: 23.722, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 23.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.9063, kb_relative_information_score: -839.4157, mean_absolute_error: 0.1135, 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: 0.957, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.9653, scimark_benchmark: 1975.654, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.9111, kappa: 0.0699, kb_relative_information_score: -963.247, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9094, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8983, scimark_benchmark: 1839.0801, usercpu_time_millis: 35.23, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 34.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.9098, kappa: 0.0508, kb_relative_information_score: -999.6522, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.908, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9001, scimark_benchmark: 1961.343, usercpu_time_millis: 29.977, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 29.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.9313, kappa: 0.3346, kb_relative_information_score: -802.9253, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8864, scimark_benchmark: 1734.6706, usercpu_time_millis: 109.546, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 108.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -937.841, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8766, scimark_benchmark: 1856.6531, usercpu_time_millis: 88.397, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 87.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -719.8353, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1731.9625, usercpu_time_millis: 69.386, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 68.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9063, kb_relative_information_score: -1253.414, mean_absolute_error: 0.1051, 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: 0.8859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9168, scimark_benchmark: 1853.9121, usercpu_time_millis: 60.096, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 59.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -755.996, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8599, scimark_benchmark: 1849.542, usercpu_time_millis: 58.087, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 57.332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -772.3332, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9383, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 1853.3841, usercpu_time_millis: 36.424, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 35.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -808.2805, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8692, scimark_benchmark: 1848.8462, usercpu_time_millis: 32.061, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 31.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9063, kb_relative_information_score: -1259.8863, mean_absolute_error: 0.1061, 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: 0.8947, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9255, scimark_benchmark: 1783.1028, usercpu_time_millis: 28.607, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 27.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.9063, kb_relative_information_score: -1577.8148, mean_absolute_error: 0.1086, 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: 0.9156, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9474, scimark_benchmark: 1843.7454, usercpu_time_millis: 27.781, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 27.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9206, kappa: 0.1806, kb_relative_information_score: -791.7092, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8715, scimark_benchmark: 1783.4597, usercpu_time_millis: 24.696, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 24.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -614.0157, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 2147.0192, usercpu_time_millis: 24.806, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 23.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -929.5034, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8739, scimark_benchmark: 1845.8368, usercpu_time_millis: 25.696, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 25.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.9063, kb_relative_information_score: -1585.3705, mean_absolute_error: 0.1094, 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: 0.9228, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9529, scimark_benchmark: 1853.454, usercpu_time_millis: 24.116, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 23.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -1156.1926, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9028, scimark_benchmark: 1843.8137, usercpu_time_millis: 20.933, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 20.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -611.9471, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8452, scimark_benchmark: 1787.5563, usercpu_time_millis: 16.806, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 16.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9239, kappa: 0.2232, kb_relative_information_score: -696.8544, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9309, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8552, scimark_benchmark: 1787.696, usercpu_time_millis: 15.124, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 14.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.9063, kb_relative_information_score: -1353.1219, mean_absolute_error: 0.1086, 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: 0.916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9401, scimark_benchmark: 2136.9886, usercpu_time_millis: 19.806, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 19.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1132.3317, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.901, scimark_benchmark: 1786.9112, usercpu_time_millis: 12.33, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 12.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -983.5535, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8848, scimark_benchmark: 1780.9875, usercpu_time_millis: 7.796, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 7.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -772.401, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8845, scimark_benchmark: 1733.3606, usercpu_time_millis: 5.831, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 5.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9063, kb_relative_information_score: -855.6227, mean_absolute_error: 0.1133, 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: 0.955, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.9651, scimark_benchmark: 1786.5023, usercpu_time_millis: 5.644, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 4.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 3.7858, mean_absolute_error: 0.1183, 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: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1845.2509, usercpu_time_millis: 3.969, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 3.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 0.6726, mean_absolute_error: 0.1184, 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: 0.9979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 0.918, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 4.4484, 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: 0.9967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 3.043, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 2.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.9063, kb_relative_information_score: -1442.3858, mean_absolute_error: 0.1085, 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: 0.9145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9424, scimark_benchmark: 1786.0799, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 3.0583, mean_absolute_error: 0.1183, 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: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1733.299, usercpu_time_millis: 2.571, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 2.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -2.4147, mean_absolute_error: 0.1183, 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: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1729.3292, usercpu_time_millis: 2.525, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9311, kappa: 0.324, kb_relative_information_score: -742.1906, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1735.1328, usercpu_time_millis: 190.353, usercpu_time_millis_testing: 1.356, usercpu_time_millis_training: 188.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.9312, kappa: 0.3276, kb_relative_information_score: -763.2437, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9307, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8732, scimark_benchmark: 1818.9456, usercpu_time_millis: 142.269, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 140.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9236, kappa: 0.2374, kb_relative_information_score: -823.7099, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9223, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.881, scimark_benchmark: 1733.7613, usercpu_time_millis: 126.687, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 125.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -937.1508, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8795, scimark_benchmark: 1836.152, usercpu_time_millis: 66.138, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 65.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9261, kappa: 0.2529, kb_relative_information_score: -647.4531, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1731.5618, usercpu_time_millis: 58.36, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 56.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -743.4508, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1817.6993, usercpu_time_millis: 56.618, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 56.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.9063, kb_relative_information_score: -1186.7849, mean_absolute_error: 0.104, 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: 0.8766, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.91, scimark_benchmark: 1736.9559, usercpu_time_millis: 53.764, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 52.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1056.408, mean_absolute_error: 0.1004, 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: 0.8465, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.8999, scimark_benchmark: 1857.1082, usercpu_time_millis: 42.36, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 41.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1077.6942, mean_absolute_error: 0.1014, 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: 0.8548, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8943, scimark_benchmark: 1858.6076, usercpu_time_millis: 37.623, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 37.166,

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