Task
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: 0.9077, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -771.0515, mean_absolute_error: 0.0979, 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: 0.8251, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8661, scimark_benchmark: 1274.7435, usercpu_time_millis: 69.522, usercpu_time_millis_testing: 5.086, usercpu_time_millis_training: 64.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -618.4171, mean_absolute_error: 0.0941, 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: 0.7935, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8553, scimark_benchmark: 1267.2481, usercpu_time_millis: 79.392, usercpu_time_millis_testing: 6.18, usercpu_time_millis_training: 73.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -657.3077, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852, scimark_benchmark: 1272.146, usercpu_time_millis: 80.395, usercpu_time_millis_testing: 3.611, usercpu_time_millis_training: 76.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -659.3222, mean_absolute_error: 0.0946, 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: 0.7974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1278.4213, usercpu_time_millis: 78.322, usercpu_time_millis_testing: 5.037, usercpu_time_millis_training: 73.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.9063, kb_relative_information_score: -1152.9787, mean_absolute_error: 0.1105, 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: 0.9319, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9515, scimark_benchmark: 1269.9518, usercpu_time_millis: 15.249, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 13.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.9063, kb_relative_information_score: -1034.9421, mean_absolute_error: 0.1076, 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: 0.9069, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9316, scimark_benchmark: 1263.2356, usercpu_time_millis: 12.788, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 11.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9063, kb_relative_information_score: -999.9775, mean_absolute_error: 0.1034, 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: 0.8714, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9069, scimark_benchmark: 1263.7863, usercpu_time_millis: 46.115, usercpu_time_millis_testing: 3.672, usercpu_time_millis_training: 42.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.928, kappa: 0.2688, kb_relative_information_score: -549.0469, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.8404, scimark_benchmark: 1274.3613, usercpu_time_millis: 114.229, usercpu_time_millis_testing: 6.616, usercpu_time_millis_training: 107.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -639.6141, mean_absolute_error: 0.0943, 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: 0.7954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1258.5637, usercpu_time_millis: 46.632, usercpu_time_millis_testing: 3.1, usercpu_time_millis_training: 43.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.9063, kb_relative_information_score: -1031.2019, mean_absolute_error: 0.107, 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: 0.9017, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.928, scimark_benchmark: 1276.5091, usercpu_time_millis: 43.174, usercpu_time_millis_testing: 4.793, usercpu_time_millis_training: 38.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.9063, kb_relative_information_score: -1175.3022, mean_absolute_error: 0.1068, 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: 0.9005, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9309, scimark_benchmark: 1256.9565, usercpu_time_millis: 23.077, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 21.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -688.4792, mean_absolute_error: 0.0944, 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: 0.7955, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8639, scimark_benchmark: 1264.3355, usercpu_time_millis: 82.661, usercpu_time_millis_testing: 4.019, usercpu_time_millis_training: 78.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -601.1948, mean_absolute_error: 0.0923, 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: 0.7781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8502, scimark_benchmark: 1260.4744, usercpu_time_millis: 61.731, usercpu_time_millis_testing: 3.331, usercpu_time_millis_training: 58.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -848.966, mean_absolute_error: 0.0976, 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: 0.8229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8852, scimark_benchmark: 1275.0607, usercpu_time_millis: 4.141, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 3.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -584.2525, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1256.2456, usercpu_time_millis: 162.969, usercpu_time_millis_testing: 7.382, usercpu_time_millis_training: 155.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.9133, kappa: 0.093, kb_relative_information_score: -987.2157, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9186, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8907, scimark_benchmark: 1278.5627, usercpu_time_millis: 2.63, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.9063, kb_relative_information_score: -1246.2593, 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: 0.9236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9469, scimark_benchmark: 1250.8587, usercpu_time_millis: 32.517, usercpu_time_millis_testing: 2.779, usercpu_time_millis_training: 29.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -559.5729, mean_absolute_error: 0.0909, 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: 0.7668, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8428, scimark_benchmark: 1267.6465, usercpu_time_millis: 157.589, usercpu_time_millis_testing: 9.458, usercpu_time_millis_training: 148.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -833.4856, 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: 0.8317, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8779, scimark_benchmark: 1270.9542, usercpu_time_millis: 87.429, usercpu_time_millis_testing: 5.59, usercpu_time_millis_training: 81.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -650.5419, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8487, scimark_benchmark: 1272.9273, usercpu_time_millis: 79.841, usercpu_time_millis_testing: 3.755, usercpu_time_millis_training: 76.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9063, kb_relative_information_score: -1224.4804, mean_absolute_error: 0.1071, 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: 0.9032, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9334, scimark_benchmark: 1281.1778, usercpu_time_millis: 71.53, usercpu_time_millis_testing: 3.954, usercpu_time_millis_training: 67.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9219, kappa: 0.1886, kb_relative_information_score: -681.4493, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9408, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1273.2227, usercpu_time_millis: 11.07, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 10.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 4.7357, 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: 0.9965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1266.2264, usercpu_time_millis: 9.988, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 8.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -736.6174, mean_absolute_error: 0.0969, 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: 0.8169, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.872, scimark_benchmark: 1268.7521, usercpu_time_millis: 4.631, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 4.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.9063, kb_relative_information_score: -1071.4514, 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: 0.9048, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9308, scimark_benchmark: 1257.3909, usercpu_time_millis: 39.489, usercpu_time_millis_testing: 4, usercpu_time_millis_training: 35.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -855.7497, mean_absolute_error: 0.1018, 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: 0.8584, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 1277.079, usercpu_time_millis: 49.535, usercpu_time_millis_testing: 4.345, usercpu_time_millis_training: 45.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -785.7525, mean_absolute_error: 0.0974, 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: 0.8213, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8727, scimark_benchmark: 1253.6091, usercpu_time_millis: 45.958, usercpu_time_millis_testing: 2.828, usercpu_time_millis_training: 43.13,
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: 0.8581, 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: 0.9055, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -778.6772, mean_absolute_error: 0.0972, 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: 0.8196, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8704, scimark_benchmark: 1274.5684, usercpu_time_millis: 106.562, usercpu_time_millis_testing: 5.767, usercpu_time_millis_training: 100.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -893.6332, mean_absolute_error: 0.0998, 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: 0.841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8894, scimark_benchmark: 1276.707, usercpu_time_millis: 27.709, usercpu_time_millis_testing: 1.995, usercpu_time_millis_training: 25.714,
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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, 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: 0.9073, 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: 0.908, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -647.9438, 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: 0.7823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8579, scimark_benchmark: 1252.777, usercpu_time_millis: 9.249, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 8.763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1092.5304, 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: 0.2225, root_relative_squared_error: 0.9149, scimark_benchmark: 1277.0636, usercpu_time_millis: 37.858, usercpu_time_millis_testing: 2.412, usercpu_time_millis_training: 35.446,
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: 0.8396, f_measure: 0.9063, kb_relative_information_score: -1325.9441, 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: 0.9213, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9461, scimark_benchmark: 1265.4291, usercpu_time_millis: 37.38, usercpu_time_millis_testing: 2.578, usercpu_time_millis_training: 34.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.9063, kb_relative_information_score: -1004.6567, mean_absolute_error: 0.1108, 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: 0.9339, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9504, scimark_benchmark: 1275.9293, usercpu_time_millis: 13.333, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 12.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.9063, kb_relative_information_score: -812.5241, mean_absolute_error: 0.111, 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: 0.9359, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9531, scimark_benchmark: 1278.5561, usercpu_time_millis: 16.466, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 15.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -567.4729, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.845, scimark_benchmark: 1273.0795, usercpu_time_millis: 150.726, usercpu_time_millis_testing: 8.27, usercpu_time_millis_training: 142.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.9063, kb_relative_information_score: -1247.9011, mean_absolute_error: 0.1092, 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: 0.9207, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9435, scimark_benchmark: 1255.3196, usercpu_time_millis: 14.277, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 13.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -701.6164, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8722, scimark_benchmark: 1276.1405, usercpu_time_millis: 10.924, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 9.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -810.4421, mean_absolute_error: 0.0984, 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: 0.8298, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8785, scimark_benchmark: 1258.7976, usercpu_time_millis: 67.325, usercpu_time_millis_testing: 4.689, usercpu_time_millis_training: 62.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.9063, kb_relative_information_score: -1220.4357, mean_absolute_error: 0.1074, 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: 0.9056, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9347, scimark_benchmark: 1261.4905, usercpu_time_millis: 57.603, usercpu_time_millis_testing: 3.665, usercpu_time_millis_training: 53.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -630.0093, 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: 0.7827, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1257.2105, usercpu_time_millis: 124.046, usercpu_time_millis_testing: 5.878, usercpu_time_millis_training: 118.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -947.8755, mean_absolute_error: 0.1015, 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: 0.8559, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8975, scimark_benchmark: 1264.595, usercpu_time_millis: 45.644, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 42.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -945.7101, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.893, scimark_benchmark: 1277.5644, usercpu_time_millis: 39.131, usercpu_time_millis_testing: 2.809, usercpu_time_millis_training: 36.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.9063, kb_relative_information_score: -1012.4881, 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: 0.9324, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9491, scimark_benchmark: 1277.755, usercpu_time_millis: 35.324, usercpu_time_millis_testing: 3.542, usercpu_time_millis_training: 31.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -678.3818, mean_absolute_error: 0.097, 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: 0.8179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8696, scimark_benchmark: 1257.9588, usercpu_time_millis: 102.557, usercpu_time_millis_testing: 8.469, usercpu_time_millis_training: 94.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -656.6947, mean_absolute_error: 0.0951, 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: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8625, scimark_benchmark: 1275.6369, usercpu_time_millis: 25.364, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 23.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9177, kappa: 0.1393, kb_relative_information_score: -739.7862, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9369, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1279.6119, usercpu_time_millis: 72.468, usercpu_time_millis_testing: 5.502, usercpu_time_millis_training: 66.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9155, kappa: 0.1161, kb_relative_information_score: -718.3322, mean_absolute_error: 0.0944, 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: 0.796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8666, scimark_benchmark: 1275.2394, usercpu_time_millis: 143.253, usercpu_time_millis_testing: 6.592, usercpu_time_millis_training: 136.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -833.1227, mean_absolute_error: 0.1003, 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: 0.8459, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8803, scimark_benchmark: 1271.43, usercpu_time_millis: 17.934, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 16.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.9063, kb_relative_information_score: -1285.1904, 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: 0.919, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9445, scimark_benchmark: 1240.8538, usercpu_time_millis: 15.084, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 14.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -733.253, mean_absolute_error: 0.0966, 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: 0.8141, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.872, scimark_benchmark: 1274.7914, usercpu_time_millis: 68.701, usercpu_time_millis_testing: 5.088, usercpu_time_millis_training: 63.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -876.932, mean_absolute_error: 0.0988, 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: 0.833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8838, scimark_benchmark: 1251.273, usercpu_time_millis: 55.99, usercpu_time_millis_testing: 2.472, usercpu_time_millis_training: 53.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -697.1876, mean_absolute_error: 0.0959, 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: 0.8085, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1251.0589, usercpu_time_millis: 63.532, usercpu_time_millis_testing: 4.272, usercpu_time_millis_training: 59.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -661.4622, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9316, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8563, scimark_benchmark: 1256.6176, usercpu_time_millis: 94.619, usercpu_time_millis_testing: 6.746, usercpu_time_millis_training: 87.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -569.9721, mean_absolute_error: 0.0912, 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: 0.7693, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8449, scimark_benchmark: 1253.9861, usercpu_time_millis: 93.57, usercpu_time_millis_testing: 5.507, usercpu_time_millis_training: 88.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -800.0949, mean_absolute_error: 0.1007, 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: 0.8493, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8892, scimark_benchmark: 1283.0095, usercpu_time_millis: 10.702, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 9.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.9063, kb_relative_information_score: -797.5945, mean_absolute_error: 0.1136, 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: 0.9574, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.9665, scimark_benchmark: 1278.0736, usercpu_time_millis: 4.835, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 4.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -644.2545, 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: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8484, scimark_benchmark: 1272.5929, usercpu_time_millis: 27.622, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 26.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9178, kappa: 0.145, kb_relative_information_score: -692.0679, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1261.5236, usercpu_time_millis: 8.782, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 8.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.9063, kb_relative_information_score: -1291.651, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9458, scimark_benchmark: 1270.6625, usercpu_time_millis: 3.637, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 3.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -709.8959, mean_absolute_error: 0.0967, 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: 0.8154, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1282.8623, usercpu_time_millis: 54.8, usercpu_time_millis_testing: 4.369, usercpu_time_millis_training: 50.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -596.9889, mean_absolute_error: 0.0918, 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: 0.774, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1269.9497, usercpu_time_millis: 113.008, usercpu_time_millis_testing: 5.283, usercpu_time_millis_training: 107.725,

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