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: 0.8927, f_measure: 0.9063, kb_relative_information_score: -926.9813, mean_absolute_error: 0.1032, 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: 0.8698, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9042, scimark_benchmark: 1264.038, usercpu_time_millis: 30.416, usercpu_time_millis_testing: 2.758, usercpu_time_millis_training: 27.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -645.5415, mean_absolute_error: 0.0926, 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: 0.7804, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.848, scimark_benchmark: 1250.9948, usercpu_time_millis: 30.485, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 28.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -644.4944, mean_absolute_error: 0.0938, 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: 0.7912, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1257.1391, usercpu_time_millis: 17.254, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 16.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.9063, kb_relative_information_score: -1156.3172, mean_absolute_error: 0.1065, 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: 0.8979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.9279, scimark_benchmark: 1264.0657, usercpu_time_millis: 16.572, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 15.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.9063, kb_relative_information_score: -1272.2844, mean_absolute_error: 0.1073, 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: 0.9047, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9373, scimark_benchmark: 1284.2045, usercpu_time_millis: 2.62, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 2.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -658.7184, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, scimark_benchmark: 1278.399, usercpu_time_millis: 120.147, usercpu_time_millis_testing: 9.815, usercpu_time_millis_training: 110.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.9063, kb_relative_information_score: -1079.6762, mean_absolute_error: 0.1062, 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: 0.8954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9227, scimark_benchmark: 1280.1617, usercpu_time_millis: 42.748, usercpu_time_millis_testing: 3.682, usercpu_time_millis_training: 39.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9265, kappa: 0.2595, kb_relative_information_score: -576.9756, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1276.1159, usercpu_time_millis: 36.799, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 35.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -641.5033, mean_absolute_error: 0.093, 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: 0.7838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8572, scimark_benchmark: 1278.5091, usercpu_time_millis: 79.712, usercpu_time_millis_testing: 3.63, usercpu_time_millis_training: 76.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -951.2817, mean_absolute_error: 0.1013, 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: 0.8543, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8963, scimark_benchmark: 1259.3523, usercpu_time_millis: 37.884, usercpu_time_millis_testing: 2.45, usercpu_time_millis_training: 35.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -672.2666, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8532, scimark_benchmark: 1272.8523, usercpu_time_millis: 34.062, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 31.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -763.2121, mean_absolute_error: 0.0994, 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: 0.838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.88, scimark_benchmark: 1260.2619, usercpu_time_millis: 23.259, usercpu_time_millis_testing: 2.128, usercpu_time_millis_training: 21.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -586.7356, mean_absolute_error: 0.0926, 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: 0.7808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497, scimark_benchmark: 1258.9534, usercpu_time_millis: 20.674, usercpu_time_millis_testing: 1.485, usercpu_time_millis_training: 19.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -638.1428, mean_absolute_error: 0.0933, 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: 0.7869, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8494, scimark_benchmark: 1273.8763, usercpu_time_millis: 33.64, usercpu_time_millis_testing: 2.285, usercpu_time_millis_training: 31.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.9063, kb_relative_information_score: -1108.7741, 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: 0.9248, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9451, scimark_benchmark: 1265.0894, usercpu_time_millis: 32.608, usercpu_time_millis_testing: 3.126, usercpu_time_millis_training: 29.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -806.9034, 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: 0.8247, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8739, scimark_benchmark: 1281.5222, usercpu_time_millis: 32.92, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 31.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9092, kappa: 0.0346, kb_relative_information_score: -863.804, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9419, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8827, scimark_benchmark: 1252.2641, usercpu_time_millis: 30.933, usercpu_time_millis_testing: 2.265, usercpu_time_millis_training: 28.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9229, kappa: 0.2085, kb_relative_information_score: -610.7369, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1262.6404, usercpu_time_millis: 22.451, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 20.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.9063, kb_relative_information_score: -1110.8489, mean_absolute_error: 0.1106, 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: 0.9328, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9508, scimark_benchmark: 1271.0814, usercpu_time_millis: 9.046, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 8.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.9063, kb_relative_information_score: -992.513, mean_absolute_error: 0.1054, 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: 0.8887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9189, scimark_benchmark: 1269.516, usercpu_time_millis: 35.637, usercpu_time_millis_testing: 4.04, usercpu_time_millis_training: 31.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -727.1133, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1266.931, usercpu_time_millis: 66.37, usercpu_time_millis_testing: 3.383, usercpu_time_millis_training: 62.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -889.9154, mean_absolute_error: 0.1006, 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: 0.848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8905, scimark_benchmark: 1279.8936, usercpu_time_millis: 18.78, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 17.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -645.8533, 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: 0.7915, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8551, scimark_benchmark: 1275.6618, usercpu_time_millis: 10.799, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 10.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -741.3009, mean_absolute_error: 0.0961, 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: 0.8105, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8701, scimark_benchmark: 1269.7325, usercpu_time_millis: 48.827, usercpu_time_millis_testing: 2.62, usercpu_time_millis_training: 46.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -615.854, mean_absolute_error: 0.0936, 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: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545, scimark_benchmark: 1252.7467, usercpu_time_millis: 48.229, usercpu_time_millis_testing: 3.542, usercpu_time_millis_training: 44.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -971.52, mean_absolute_error: 0.1014, 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: 0.8547, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8975, scimark_benchmark: 1272.4273, usercpu_time_millis: 47.516, usercpu_time_millis_testing: 2.637, usercpu_time_millis_training: 44.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.9063, kb_relative_information_score: -1042.0809, 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: 0.8891, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9207, scimark_benchmark: 1260.8394, usercpu_time_millis: 44.446, usercpu_time_millis_testing: 4.033, usercpu_time_millis_training: 40.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9216, kappa: 0.187, kb_relative_information_score: -646.1175, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1280.0914, usercpu_time_millis: 25.37, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 23.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.9063, kb_relative_information_score: -1004.2968, mean_absolute_error: 0.1053, 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: 0.8874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9163, scimark_benchmark: 1263.7902, usercpu_time_millis: 32.196, usercpu_time_millis_testing: 2.976, usercpu_time_millis_training: 29.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9101, kappa: 0.0458, kb_relative_information_score: -750.0804, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9422, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.876, scimark_benchmark: 1277.5394, usercpu_time_millis: 16.604, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 15.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1096.8584, mean_absolute_error: 0.1039, 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: 0.8761, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9148, scimark_benchmark: 1250.3936, usercpu_time_millis: 73.232, usercpu_time_millis_testing: 4.737, usercpu_time_millis_training: 68.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -792.8631, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8721, scimark_benchmark: 1244.5234, usercpu_time_millis: 26.213, usercpu_time_millis_testing: 1.832, usercpu_time_millis_training: 24.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 4.4757, 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: 1259.6145, usercpu_time_millis: 19.332, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 17.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -723.6688, mean_absolute_error: 0.0953, 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: 0.8036, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8675, scimark_benchmark: 1262.2864, usercpu_time_millis: 111.702, usercpu_time_millis_testing: 6.144, usercpu_time_millis_training: 105.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -641.5667, mean_absolute_error: 0.0936, 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: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8502, scimark_benchmark: 1281.7423, usercpu_time_millis: 93.855, usercpu_time_millis_testing: 5.919, usercpu_time_millis_training: 87.936,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1009.9678, mean_absolute_error: 0.1024, 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: 0.8634, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9046, scimark_benchmark: 1260.3075, usercpu_time_millis: 60.096, usercpu_time_millis_testing: 4.621, usercpu_time_millis_training: 55.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -587.8036, mean_absolute_error: 0.0919, 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: 0.7745, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8494, scimark_benchmark: 1259.2668, usercpu_time_millis: 58.677, usercpu_time_millis_testing: 3.717, usercpu_time_millis_training: 54.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -734.7128, mean_absolute_error: 0.0958, 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: 0.8078, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8655, scimark_benchmark: 1257.3373, usercpu_time_millis: 50.126, usercpu_time_millis_testing: 2.541, usercpu_time_millis_training: 47.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -583.7028, mean_absolute_error: 0.0923, 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: 0.7781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8456, scimark_benchmark: 1252.8041, usercpu_time_millis: 46.902, usercpu_time_millis_testing: 3.166, usercpu_time_millis_training: 43.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -674.97, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1277.1064, usercpu_time_millis: 40.881, usercpu_time_millis_testing: 3.599, usercpu_time_millis_training: 37.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9063, kb_relative_information_score: -1104.5556, mean_absolute_error: 0.1064, 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: 0.897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9262, scimark_benchmark: 1285.7395, usercpu_time_millis: 36.001, usercpu_time_millis_testing: 2.749, usercpu_time_millis_training: 33.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -803.2892, mean_absolute_error: 0.0984, 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: 0.8299, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8747, scimark_benchmark: 1277.0129, usercpu_time_millis: 58.919, usercpu_time_millis_testing: 4.182, usercpu_time_millis_training: 54.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -579.7814, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1269.5297, usercpu_time_millis: 126.098, usercpu_time_millis_testing: 5.349, usercpu_time_millis_training: 120.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -710.7104, mean_absolute_error: 0.0941, 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: 0.7933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8559, scimark_benchmark: 1258.0448, usercpu_time_millis: 6.639, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 6.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -565.8162, mean_absolute_error: 0.0907, 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: 0.765, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1251.6258, usercpu_time_millis: 86.952, usercpu_time_millis_testing: 4.544, usercpu_time_millis_training: 82.408,
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: 0.8559, f_measure: 0.9063, kb_relative_information_score: -998.2611, mean_absolute_error: 0.1115, 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: 0.9396, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9543, scimark_benchmark: 1266.9433, usercpu_time_millis: 27.443, usercpu_time_millis_testing: 2.635, usercpu_time_millis_training: 24.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -714.1496, mean_absolute_error: 0.0976, 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: 0.8231, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8758, scimark_benchmark: 1269.1247, usercpu_time_millis: 19.82, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 17.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -581.0705, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8477, scimark_benchmark: 1261.238, usercpu_time_millis: 17.427, usercpu_time_millis_testing: 1.624, usercpu_time_millis_training: 15.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.9063, kb_relative_information_score: -1133.5711, mean_absolute_error: 0.1064, 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: 0.8968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.926, scimark_benchmark: 1252.8306, usercpu_time_millis: 18.124, usercpu_time_millis_testing: 1.595, usercpu_time_millis_training: 16.529,
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: 0.9127, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -643.256, mean_absolute_error: 0.0929, 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: 0.7835, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497, scimark_benchmark: 1250.0628, usercpu_time_millis: 47.963, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 45.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.9063, kb_relative_information_score: -939.3264, mean_absolute_error: 0.1039, 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: 0.8757, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9098, scimark_benchmark: 1274.3425, usercpu_time_millis: 34.305, usercpu_time_millis_testing: 3.539, usercpu_time_millis_training: 30.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1040.7658, mean_absolute_error: 0.104, 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: 0.8765, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.912, scimark_benchmark: 1275.7051, usercpu_time_millis: 71.349, usercpu_time_millis_testing: 4.825, usercpu_time_millis_training: 66.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.9063, kb_relative_information_score: -1235.1139, mean_absolute_error: 0.1106, 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: 0.9325, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9525, scimark_benchmark: 1276.0644, usercpu_time_millis: 26.339, usercpu_time_millis_testing: 2.536, usercpu_time_millis_training: 23.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9186, kappa: 0.1493, kb_relative_information_score: -711.7256, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9378, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1259.7947, usercpu_time_millis: 26.094, usercpu_time_millis_testing: 1.804, usercpu_time_millis_training: 24.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -637.865, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1269.1654, usercpu_time_millis: 63.435, usercpu_time_millis_testing: 3.084, usercpu_time_millis_training: 60.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -878.7494, mean_absolute_error: 0.1015, 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: 0.8553, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8925, scimark_benchmark: 1273.5586, usercpu_time_millis: 14.897, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 13.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -871.8501, mean_absolute_error: 0.0996, 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: 0.8397, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8791, scimark_benchmark: 1250.7487, usercpu_time_millis: 3.449, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 3.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9278, kappa: 0.2716, kb_relative_information_score: -558.0567, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9334, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.8416, scimark_benchmark: 1276.7866, usercpu_time_millis: 99.805, usercpu_time_millis_testing: 4.83, usercpu_time_millis_training: 94.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -578.939, mean_absolute_error: 0.0918, 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: 0.7738, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1270.3816, usercpu_time_millis: 36.729, usercpu_time_millis_testing: 2.797, usercpu_time_millis_training: 33.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.9063, kb_relative_information_score: -1129.4715, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9445, scimark_benchmark: 1273.7288, usercpu_time_millis: 8.591, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 7.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -635.2549, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.851, scimark_benchmark: 1275.6711, usercpu_time_millis: 113.9, usercpu_time_millis_testing: 6.91, usercpu_time_millis_training: 106.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -622.8379, mean_absolute_error: 0.0928, 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: 0.7822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8471, scimark_benchmark: 1266.5889, usercpu_time_millis: 86.482, usercpu_time_millis_testing: 4.689, usercpu_time_millis_training: 81.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.9063, kb_relative_information_score: -1300.2293, mean_absolute_error: 0.1096, 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: 0.9238, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9479, scimark_benchmark: 1251.8199, usercpu_time_millis: 21.309, usercpu_time_millis_testing: 1.879, usercpu_time_millis_training: 19.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.92, kappa: 0.1727, kb_relative_information_score: -595.5913, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1274.8467, usercpu_time_millis: 21.694, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 19.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9237, kappa: 0.2215, kb_relative_information_score: -870.8116, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8625, scimark_benchmark: 1272.7636, usercpu_time_millis: 3.633, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 3.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.9201, kappa: 0.2008, kb_relative_information_score: -1227.2858, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9168, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9156, scimark_benchmark: 1257.5483, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 2.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.9063, kb_relative_information_score: -899.9629, mean_absolute_error: 0.1121, 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: 0.9452, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.9594, scimark_benchmark: 1257.3246, usercpu_time_millis: 1.584, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.41,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs