Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1766 Supervised Classification anneal 297 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8609, kappa: 0.6563, kb_relative_information_score: 0.6437, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8626, number_of_instances: 4490, precision: 0.8648, predictive_accuracy: 0.8626, prior_entropy: 1.1915, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.7198, scimark_benchmark: 1015.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8706, kappa: 0.6763, kb_relative_information_score: 2832.4371, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8718, predictive_accuracy: 0.8702, prior_entropy: 1.2149, recall: 0.8702, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.6574, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9724, kappa: 0.9336, kb_relative_information_score: 3743.5477, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9723, predictive_accuracy: 0.9735, prior_entropy: 1.2149, recall: 0.9735, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.3739, scimark_benchmark: 851.2074, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9044, kappa: 0.7554, kb_relative_information_score: 3048.964, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9044, predictive_accuracy: 0.9078, prior_entropy: 1.2149, recall: 0.9078, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5861, scimark_benchmark: 941.6675, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9583, kappa: 0.8959, kb_relative_information_score: 3556.3303, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9585, predictive_accuracy: 0.959, prior_entropy: 1.2149, recall: 0.959, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4596, scimark_benchmark: 927.2917, usercpu_time_millis: 1670, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9304, kappa: 0.8218, kb_relative_information_score: 3177.5811, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5272, scimark_benchmark: 931.771, usercpu_time_millis: 930, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7855, kappa: 0.4008, kb_relative_information_score: 1982.1539, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8236, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 932.438, usercpu_time_millis: 360, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9116, kappa: 0.7843, kb_relative_information_score: 3219.1547, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9196, predictive_accuracy: 0.9091, prior_entropy: 1.2149, recall: 0.9091, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5866, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9583, kappa: 0.8959, kb_relative_information_score: 3556.3303, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9585, predictive_accuracy: 0.959, prior_entropy: 1.2149, recall: 0.959, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4596, scimark_benchmark: 938.5498, usercpu_time_millis: 1750, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9304, kappa: 0.8218, kb_relative_information_score: 3177.5811, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5272, scimark_benchmark: 943.1009, usercpu_time_millis: 940, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8706, kappa: 0.6763, kb_relative_information_score: 2832.4371, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8718, predictive_accuracy: 0.8702, prior_entropy: 1.2149, recall: 0.8702, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.6574, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9724, kappa: 0.9336, kb_relative_information_score: 3743.5477, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9723, predictive_accuracy: 0.9735, prior_entropy: 1.2149, recall: 0.9735, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.3739, scimark_benchmark: 936.2574, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7855, kappa: 0.4008, kb_relative_information_score: 1982.1539, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8236, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 935.5664, usercpu_time_millis: 390, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9044, kappa: 0.7554, kb_relative_information_score: 3048.964, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9044, predictive_accuracy: 0.9078, prior_entropy: 1.2149, recall: 0.9078, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5861, scimark_benchmark: 941.4991, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9304, kappa: 0.8218, kb_relative_information_score: 3177.5811, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5272, scimark_benchmark: 901.4991, usercpu_time_millis: 1020, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9597, kappa: 0.899, kb_relative_information_score: 3604.6763, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9613, predictive_accuracy: 0.9612, prior_entropy: 1.2149, recall: 0.9612, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3968, scimark_benchmark: 938.988, usercpu_time_millis: 9970, usercpu_time_millis_testing: 3780, usercpu_time_millis_training: 6190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9594, kappa: 0.8985, kb_relative_information_score: 3583.0336, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.4031, scimark_benchmark: 926.5462, usercpu_time_millis: 4260, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9591, kappa: 0.8975, kb_relative_information_score: 3611.3879, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9601, predictive_accuracy: 0.9604, prior_entropy: 1.2149, recall: 0.9604, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.3981, scimark_benchmark: 928.7131, usercpu_time_millis: 2000, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9628, kappa: 0.9068, kb_relative_information_score: 3605.7844, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 1.2149, recall: 0.9639, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.3979, scimark_benchmark: 939.7883, usercpu_time_millis: 980, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9582, kappa: 0.895, kb_relative_information_score: 3573.8413, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 1.2149, recall: 0.9592, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4188, scimark_benchmark: 894.7131, usercpu_time_millis: 510, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6587, kb_relative_information_score: -48.1056, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6587, kb_relative_information_score: -48.1056, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.7632, kappa: 0.4184, kb_relative_information_score: 970.1206, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7433, predictive_accuracy: 0.8307, prior_entropy: 1.2149, recall: 0.8307, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.8353, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.7632, kappa: 0.4184, kb_relative_information_score: 970.1206, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7433, predictive_accuracy: 0.8307, prior_entropy: 1.2149, recall: 0.8307, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.8353, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7632, kappa: 0.4184, kb_relative_information_score: 1075.3013, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7433, predictive_accuracy: 0.8307, prior_entropy: 1.2149, recall: 0.8307, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8428, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7632, kappa: 0.4184, kb_relative_information_score: 1073.906, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7433, predictive_accuracy: 0.8307, prior_entropy: 1.2149, recall: 0.8307, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8424, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.754, kappa: 0.3812, kb_relative_information_score: 1804.6765, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8212, prior_entropy: 1.2149, recall: 0.8212, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.89, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9253, kappa: 0.8168, kb_relative_information_score: 3247.4652, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9231, predictive_accuracy: 0.9294, prior_entropy: 1.2149, recall: 0.9294, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.529, scimark_benchmark: 926.5859, usercpu_time_millis: 270, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9583, kappa: 0.8959, kb_relative_information_score: 3556.3303, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9585, predictive_accuracy: 0.959, prior_entropy: 1.2149, recall: 0.959, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4596, scimark_benchmark: 1338.5214, usercpu_time_millis: 2110, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7855, kappa: 0.4008, kb_relative_information_score: 1982.1539, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8236, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 1336.4701, usercpu_time_millis: 690, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 1317.2327, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9044, kappa: 0.7554, kb_relative_information_score: 3048.964, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9044, predictive_accuracy: 0.9078, prior_entropy: 1.2149, recall: 0.9078, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5861, scimark_benchmark: 1318.9519, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9304, kappa: 0.8218, kb_relative_information_score: 3177.5811, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5272, scimark_benchmark: 940.3347, usercpu_time_millis: 1260, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 1350.0252, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9304, kappa: 0.8218, kb_relative_information_score: 3177.5811, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5272, scimark_benchmark: 1316.7198, usercpu_time_millis: 770, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8706, kappa: 0.6763, kb_relative_information_score: 2832.4371, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8718, predictive_accuracy: 0.8702, prior_entropy: 1.2149, recall: 0.8702, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.6574, scimark_benchmark: 1318.2298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7855, kappa: 0.4008, kb_relative_information_score: 1982.1539, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8236, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 1375.1578, usercpu_time_millis: 690, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9583, kappa: 0.8959, kb_relative_information_score: 3556.3303, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9585, predictive_accuracy: 0.959, prior_entropy: 1.2149, recall: 0.959, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4596, scimark_benchmark: 1322.7257, usercpu_time_millis: 2140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9116, kappa: 0.7843, kb_relative_information_score: 3219.1547, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9196, predictive_accuracy: 0.9091, prior_entropy: 1.2149, recall: 0.9091, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5866, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9583, kappa: 0.8959, kb_relative_information_score: 3556.3303, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9585, predictive_accuracy: 0.959, prior_entropy: 1.2149, recall: 0.959, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4596, scimark_benchmark: 1278.6629, usercpu_time_millis: 2160, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9304, kappa: 0.8218, kb_relative_information_score: 3177.5811, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5272, scimark_benchmark: 1326.8946, usercpu_time_millis: 1110, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 1314.7093, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9116, kappa: 0.7843, kb_relative_information_score: 3219.1547, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9196, predictive_accuracy: 0.9091, prior_entropy: 1.2149, recall: 0.9091, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5866, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 1288.1375, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9583, kappa: 0.8959, kb_relative_information_score: 3556.3303, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9585, predictive_accuracy: 0.959, prior_entropy: 1.2149, recall: 0.959, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4596, scimark_benchmark: 1328.1857, usercpu_time_millis: 2090, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8706, kappa: 0.6763, kb_relative_information_score: 2832.4371, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8718, predictive_accuracy: 0.8702, prior_entropy: 1.2149, recall: 0.8702, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.6574, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7855, kappa: 0.4008, kb_relative_information_score: 1982.1539, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8236, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 1347.917, usercpu_time_millis: 690, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9018, kappa: 0.7791, kb_relative_information_score: 2742.4468, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9135, predictive_accuracy: 0.9158, prior_entropy: 1.2149, recall: 0.9158, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.6321, scimark_benchmark: 1334.6745, usercpu_time_millis: 1770, usercpu_time_millis_testing: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.8905, kb_relative_information_score: 3693.9799, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4284, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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