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: 0.9167, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -625.8843, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8476, scimark_benchmark: 1258.4979, usercpu_time_millis: 62.303, usercpu_time_millis_testing: 3.276, usercpu_time_millis_training: 59.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1043.602, mean_absolute_error: 0.1036, 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: 0.8731, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9115, scimark_benchmark: 1259.332, usercpu_time_millis: 52.406, usercpu_time_millis_testing: 4.147, usercpu_time_millis_training: 48.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9283, kappa: 0.2781, kb_relative_information_score: -576.71, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8438, scimark_benchmark: 1269.1185, usercpu_time_millis: 184.38, usercpu_time_millis_testing: 7.9, usercpu_time_millis_training: 176.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -730.4988, mean_absolute_error: 0.099, 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: 0.8344, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8789, scimark_benchmark: 1260.3019, usercpu_time_millis: 62.932, usercpu_time_millis_testing: 5.807, usercpu_time_millis_training: 57.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -629.754, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 1278.6479, usercpu_time_millis: 65.095, usercpu_time_millis_testing: 4.783, usercpu_time_millis_training: 60.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9063, kb_relative_information_score: -972.2491, mean_absolute_error: 0.1119, 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: 0.943, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.9562, scimark_benchmark: 1275.3064, usercpu_time_millis: 27.76, usercpu_time_millis_testing: 3.055, usercpu_time_millis_training: 24.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -698.0889, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8555, scimark_benchmark: 1272.2093, usercpu_time_millis: 29.647, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 27.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -602.4759, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8574, scimark_benchmark: 1252.9424, usercpu_time_millis: 19.021, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 17.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -609.3861, mean_absolute_error: 0.0931, 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: 0.7847, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8518, scimark_benchmark: 1258.9336, usercpu_time_millis: 39.35, usercpu_time_millis_testing: 2.976, usercpu_time_millis_training: 36.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -927.041, mean_absolute_error: 0.1026, 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: 0.8647, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8988, scimark_benchmark: 1249.5714, usercpu_time_millis: 26.001, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 23.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -712.4972, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8513, scimark_benchmark: 1263.181, usercpu_time_millis: 8.039, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 7.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.9063, kb_relative_information_score: -1107.9716, mean_absolute_error: 0.1098, 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: 0.926, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9462, scimark_benchmark: 1281.7763, usercpu_time_millis: 38.385, usercpu_time_millis_testing: 3.832, usercpu_time_millis_training: 34.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -746.4448, mean_absolute_error: 0.0967, 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: 0.8149, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8665, scimark_benchmark: 1277.5558, usercpu_time_millis: 24.599, usercpu_time_millis_testing: 1.705, usercpu_time_millis_training: 22.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -742.3968, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8669, scimark_benchmark: 1279.5632, usercpu_time_millis: 37.14, usercpu_time_millis_testing: 2.221, usercpu_time_millis_training: 34.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -936.2975, mean_absolute_error: 0.1007, 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: 0.8491, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8927, scimark_benchmark: 1255.737, usercpu_time_millis: 78.177, usercpu_time_millis_testing: 4.899, usercpu_time_millis_training: 73.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 0.3133, mean_absolute_error: 0.1181, 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: 0.9954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1259.7743, usercpu_time_millis: 5.712, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 5.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -640.4551, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8531, scimark_benchmark: 1265.0459, usercpu_time_millis: 81.768, usercpu_time_millis_testing: 6.412, usercpu_time_millis_training: 75.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -825.7007, mean_absolute_error: 0.098, 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: 0.8259, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.881, scimark_benchmark: 1271.1766, usercpu_time_millis: 95.382, usercpu_time_millis_testing: 6.485, usercpu_time_millis_training: 88.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -625.5673, mean_absolute_error: 0.0928, 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: 0.7821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8462, scimark_benchmark: 1259.3301, usercpu_time_millis: 166.337, usercpu_time_millis_testing: 8.093, usercpu_time_millis_training: 158.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -996.2801, mean_absolute_error: 0.1017, 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: 0.8577, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.8978, scimark_benchmark: 1258.2032, usercpu_time_millis: 3.329, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 3.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -713.3376, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8692, scimark_benchmark: 1276.5099, usercpu_time_millis: 67.615, usercpu_time_millis_testing: 5.374, usercpu_time_millis_training: 62.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9063, kb_relative_information_score: -1261.499, 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: 0.9192, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.944, scimark_benchmark: 1262.5229, usercpu_time_millis: 21.179, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 19.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -640.049, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1261.7828, usercpu_time_millis: 137.711, usercpu_time_millis_testing: 6.4, usercpu_time_millis_training: 131.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.9063, kb_relative_information_score: -937.4732, mean_absolute_error: 0.1044, 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: 0.8801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9119, scimark_benchmark: 1257.6245, usercpu_time_millis: 25.266, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 22.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.9063, kb_relative_information_score: -1009.5459, mean_absolute_error: 0.1103, 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: 0.9295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9469, scimark_benchmark: 1281.5131, usercpu_time_millis: 11.091, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 9.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -610.4434, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545, scimark_benchmark: 1231.8043, usercpu_time_millis: 27.414, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 24.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.9063, kb_relative_information_score: -1067.2265, 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: 0.9153, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9372, scimark_benchmark: 1273.3935, usercpu_time_millis: 30.895, usercpu_time_millis_testing: 3.07, usercpu_time_millis_training: 27.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -826.6083, mean_absolute_error: 0.0967, 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: 0.8152, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.878, scimark_benchmark: 1282.5078, usercpu_time_millis: 92.935, usercpu_time_millis_testing: 4.645, usercpu_time_millis_training: 88.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1061.0808, mean_absolute_error: 0.1033, 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: 0.8709, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9093, scimark_benchmark: 1259.0447, usercpu_time_millis: 34.767, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 32.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9063, kb_relative_information_score: -1077.2952, 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: 0.882, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9141, scimark_benchmark: 1248.2251, usercpu_time_millis: 55.053, usercpu_time_millis_testing: 3.879, usercpu_time_millis_training: 51.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.9063, kb_relative_information_score: -841.746, mean_absolute_error: 0.1129, 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: 0.9518, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9635, scimark_benchmark: 1256.8911, usercpu_time_millis: 24.696, usercpu_time_millis_testing: 2.724, usercpu_time_millis_training: 21.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -634.8037, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8486, scimark_benchmark: 1265.8654, usercpu_time_millis: 42.794, usercpu_time_millis_testing: 2.383, usercpu_time_millis_training: 40.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.9063, kb_relative_information_score: -1010.7549, mean_absolute_error: 0.1095, 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: 0.9234, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9423, scimark_benchmark: 1249.1923, usercpu_time_millis: 26.097, usercpu_time_millis_testing: 2.85, usercpu_time_millis_training: 23.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -905.154, mean_absolute_error: 0.1002, 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: 0.8449, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8914, scimark_benchmark: 1250.0084, usercpu_time_millis: 40.95, usercpu_time_millis_testing: 2.844, usercpu_time_millis_training: 38.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.9063, kb_relative_information_score: -1108.7173, mean_absolute_error: 0.1057, 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: 0.891, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9196, scimark_benchmark: 1271.1248, usercpu_time_millis: 14.694, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 13.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -571.1875, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8472, scimark_benchmark: 1270.8373, usercpu_time_millis: 141.549, usercpu_time_millis_testing: 7.248, usercpu_time_millis_training: 134.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -722.8076, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1268.7411, usercpu_time_millis: 88.677, usercpu_time_millis_testing: 5.427, usercpu_time_millis_training: 83.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.9111, kappa: 0.057, kb_relative_information_score: -824.8057, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9426, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8777, scimark_benchmark: 1268.8771, usercpu_time_millis: 36.599, usercpu_time_millis_testing: 3.145, usercpu_time_millis_training: 33.454,
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: 0.9024, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -867.1125, mean_absolute_error: 0.0996, 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: 0.84, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8896, scimark_benchmark: 1255.1804, usercpu_time_millis: 9.13, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 8.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -697.0115, mean_absolute_error: 0.0953, 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: 0.8035, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1267.5386, usercpu_time_millis: 106.298, usercpu_time_millis_testing: 5.675, usercpu_time_millis_training: 100.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.9063, kb_relative_information_score: -1080.9239, mean_absolute_error: 0.1055, 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: 0.8897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9194, scimark_benchmark: 1264.3499, usercpu_time_millis: 35.121, usercpu_time_millis_testing: 2.624, usercpu_time_millis_training: 32.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -911.9986, mean_absolute_error: 0.1013, 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: 0.8537, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.897, scimark_benchmark: 1245.8511, usercpu_time_millis: 62.985, usercpu_time_millis_testing: 5.314, usercpu_time_millis_training: 57.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -735.5538, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.866, scimark_benchmark: 1246.489, usercpu_time_millis: 57.49, usercpu_time_millis_testing: 3.856, usercpu_time_millis_training: 53.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -801.4593, mean_absolute_error: 0.1002, 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: 0.845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8881, scimark_benchmark: 1271.6347, usercpu_time_millis: 38.499, usercpu_time_millis_testing: 4.31, usercpu_time_millis_training: 34.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -905.1879, mean_absolute_error: 0.0974, 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: 0.8214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8816, scimark_benchmark: 1267.295, usercpu_time_millis: 3.533, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 3.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -576.5355, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1258.7166, usercpu_time_millis: 125.2, usercpu_time_millis_testing: 5.756, usercpu_time_millis_training: 119.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9063, kb_relative_information_score: -1050.7748, mean_absolute_error: 0.1048, 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: 0.8839, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9172, scimark_benchmark: 1268.4343, usercpu_time_millis: 57.159, usercpu_time_millis_testing: 4.712, usercpu_time_millis_training: 52.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -851.4902, mean_absolute_error: 0.099, 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: 0.8347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.882, scimark_benchmark: 1253.2376, usercpu_time_millis: 10.942, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 10.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -684.039, mean_absolute_error: 0.0946, 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: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8571, scimark_benchmark: 1253.9117, usercpu_time_millis: 82.698, usercpu_time_millis_testing: 4.129, usercpu_time_millis_training: 78.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -605.6153, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1251.2037, usercpu_time_millis: 32.048, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 30.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -655.8601, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1259.4188, usercpu_time_millis: 89.509, usercpu_time_millis_testing: 7.105, usercpu_time_millis_training: 82.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -699.3208, mean_absolute_error: 0.0958, 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: 0.8076, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1249.2594, usercpu_time_millis: 38.746, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 36.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.9063, kb_relative_information_score: -1393.1535, mean_absolute_error: 0.1102, 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: 0.9293, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9537, scimark_benchmark: 1251.7442, usercpu_time_millis: 13.101, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 12.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -731.3271, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1259.1152, usercpu_time_millis: 30.629, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 28.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -673.3091, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1270.7906, usercpu_time_millis: 46.381, usercpu_time_millis_testing: 2.876, usercpu_time_millis_training: 43.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -676.0532, mean_absolute_error: 0.0961, 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: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 1267.776, usercpu_time_millis: 29.078, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 26.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -660.637, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8546, scimark_benchmark: 1258.3734, usercpu_time_millis: 50.891, usercpu_time_millis_testing: 3.168, usercpu_time_millis_training: 47.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -958.1909, mean_absolute_error: 0.1021, 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: 0.8609, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9021, scimark_benchmark: 1269.0387, usercpu_time_millis: 43.527, usercpu_time_millis_testing: 3.796, usercpu_time_millis_training: 39.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -835.5089, mean_absolute_error: 0.0987, 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: 0.8324, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8784, scimark_benchmark: 1263.1329, usercpu_time_millis: 59.168, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 55.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.9063, kb_relative_information_score: -1087.5791, 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: 0.9179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9398, scimark_benchmark: 1274.504, usercpu_time_millis: 36.994, usercpu_time_millis_testing: 3.399, usercpu_time_millis_training: 33.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -981.7801, mean_absolute_error: 0.1014, 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: 0.855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9003, scimark_benchmark: 1251.0549, usercpu_time_millis: 48.101, usercpu_time_millis_testing: 3.645, usercpu_time_millis_training: 44.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -634.7867, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8435, scimark_benchmark: 1266.8186, usercpu_time_millis: 130.096, usercpu_time_millis_testing: 5.606, usercpu_time_millis_training: 124.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.9063, kb_relative_information_score: -1110.1459, mean_absolute_error: 0.1049, 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: 0.8842, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9186, scimark_benchmark: 1266.7756, usercpu_time_millis: 62.497, usercpu_time_millis_testing: 3.829, usercpu_time_millis_training: 58.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -606.9869, mean_absolute_error: 0.0921, 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: 0.7766, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8453, scimark_benchmark: 1255.8944, usercpu_time_millis: 93.443, usercpu_time_millis_testing: 4.984, usercpu_time_millis_training: 88.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -635.7406, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1258.4031, usercpu_time_millis: 41.275, usercpu_time_millis_testing: 2.937, usercpu_time_millis_training: 38.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -753.0034, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8711, scimark_benchmark: 1266.5526, usercpu_time_millis: 55.321, usercpu_time_millis_testing: 4.796, usercpu_time_millis_training: 50.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -855.5293, mean_absolute_error: 0.0997, 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: 0.8403, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8774, scimark_benchmark: 1242.3314, usercpu_time_millis: 8.922, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 8.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.9063, kb_relative_information_score: -1230.8562, mean_absolute_error: 0.1101, 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: 0.9281, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9508, scimark_benchmark: 1273.2738, usercpu_time_millis: 37.012, usercpu_time_millis_testing: 3.009, usercpu_time_millis_training: 34.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -661.8512, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1262.2221, usercpu_time_millis: 60.898, usercpu_time_millis_testing: 3.696, usercpu_time_millis_training: 57.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -716.5467, mean_absolute_error: 0.0971, 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: 0.8183, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8637, scimark_benchmark: 1272.9072, usercpu_time_millis: 69.043, usercpu_time_millis_testing: 5.983, usercpu_time_millis_training: 63.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.9063, kb_relative_information_score: -1288.0222, mean_absolute_error: 0.1087, 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: 0.9162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9445, scimark_benchmark: 1255.6976, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 1.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -600.5258, mean_absolute_error: 0.0922, 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: 0.7772, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1255.0425, usercpu_time_millis: 10.412, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 9.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.9063, kb_relative_information_score: -884.4054, mean_absolute_error: 0.1128, 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: 0.9506, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9619, scimark_benchmark: 1264.1316, usercpu_time_millis: 13.077, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 11.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -635.4998, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1249.5591, usercpu_time_millis: 44.625, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 42.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -721.3488, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1245.9497, usercpu_time_millis: 28.964, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 27.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -681.1591, mean_absolute_error: 0.0941, 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: 0.7933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8551, scimark_benchmark: 1273.5714, usercpu_time_millis: 157.433, usercpu_time_millis_testing: 6.099, usercpu_time_millis_training: 151.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -800.4763, mean_absolute_error: 0.0982, 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: 0.8277, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8753, scimark_benchmark: 1236.1212, usercpu_time_millis: 32.231, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 29.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -536.016, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8413, scimark_benchmark: 1276.622, usercpu_time_millis: 80.154, usercpu_time_millis_testing: 4.256, usercpu_time_millis_training: 75.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.9063, kb_relative_information_score: -1105.5873, 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: 0.9245, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9445, scimark_benchmark: 1263.4886, usercpu_time_millis: 8.51, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 7.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -642.3284, mean_absolute_error: 0.0928, 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: 0.7823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8504, scimark_benchmark: 1268.8292, usercpu_time_millis: 20.037, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 19.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.9063, kb_relative_information_score: -1017.3727, mean_absolute_error: 0.1075, 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: 0.9059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9308, scimark_benchmark: 1247.902, usercpu_time_millis: 36.442, usercpu_time_millis_testing: 3.729, usercpu_time_millis_training: 32.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.9063, kb_relative_information_score: -1009.8911, 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: 0.9249, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.944, scimark_benchmark: 1269.6179, usercpu_time_millis: 40.853, usercpu_time_millis_testing: 4.233, usercpu_time_millis_training: 36.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -705.9137, mean_absolute_error: 0.0952, 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: 0.8023, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1273.813, usercpu_time_millis: 106.558, usercpu_time_millis_testing: 5.961, usercpu_time_millis_training: 100.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.9063, kb_relative_information_score: -1144.1234, mean_absolute_error: 0.1058, 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: 0.8918, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9247, scimark_benchmark: 1260.1436, usercpu_time_millis: 19.073, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 17.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -961.2069, mean_absolute_error: 0.1007, 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: 0.8493, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8961, scimark_benchmark: 1269.1761, usercpu_time_millis: 87.753, usercpu_time_millis_testing: 6.867, usercpu_time_millis_training: 80.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.9063, kb_relative_information_score: -1331.4191, mean_absolute_error: 0.1099, 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: 0.927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9505, scimark_benchmark: 1252.4351, usercpu_time_millis: 26.089, usercpu_time_millis_testing: 1.827, usercpu_time_millis_training: 24.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.9063, kb_relative_information_score: -1135.7608, mean_absolute_error: 0.1058, 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: 0.8919, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9246, scimark_benchmark: 1256.8189, usercpu_time_millis: 29.225, usercpu_time_millis_testing: 2.045, usercpu_time_millis_training: 27.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -686.3288, mean_absolute_error: 0.0949, 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: 0.8002, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1268.7627, usercpu_time_millis: 123.098, usercpu_time_millis_testing: 7.551, usercpu_time_millis_training: 115.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -954.1914, mean_absolute_error: 0.1018, 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: 0.8587, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8988, scimark_benchmark: 1262.707, usercpu_time_millis: 63.401, usercpu_time_millis_testing: 4.504, usercpu_time_millis_training: 58.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.9155, kappa: 0.1161, kb_relative_information_score: -886.5333, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1253.2532, usercpu_time_millis: 3.611, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -634.9095, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1266.3508, usercpu_time_millis: 113.664, usercpu_time_millis_testing: 6.793, usercpu_time_millis_training: 106.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -715.811, mean_absolute_error: 0.0965, 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: 0.8138, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1248.3054, usercpu_time_millis: 32.703, usercpu_time_millis_testing: 2.222, usercpu_time_millis_training: 30.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.9063, kb_relative_information_score: -1315.5705, mean_absolute_error: 0.1098, 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: 0.9258, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9484, scimark_benchmark: 1270.0409, usercpu_time_millis: 16.45, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 15.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -686.8541, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1258.5275, usercpu_time_millis: 37.992, usercpu_time_millis_testing: 2.464, usercpu_time_millis_training: 35.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -658.9663, mean_absolute_error: 0.0945, 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: 0.7966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8604, scimark_benchmark: 1256.1024, usercpu_time_millis: 50.998, usercpu_time_millis_testing: 3.452, usercpu_time_millis_training: 47.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -746.7193, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8709, scimark_benchmark: 1269.8223, usercpu_time_millis: 59.957, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 56.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -772.6459, mean_absolute_error: 0.0979, 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: 0.8254, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8751, scimark_benchmark: 1268.9225, usercpu_time_millis: 5.869, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 5.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -806.7004, mean_absolute_error: 0.0995, 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: 0.8387, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8827, scimark_benchmark: 1257.5409, usercpu_time_millis: 56.404, usercpu_time_millis_testing: 4.733, usercpu_time_millis_training: 51.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -608.285, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8542, scimark_benchmark: 1260.1769, usercpu_time_millis: 65.124, usercpu_time_millis_testing: 5.918, usercpu_time_millis_training: 59.206,

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