Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 1911 Supervised Classification credit-g 177 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.7064, kappa: 0.2776, kb_relative_information_score: 1671.5317, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7031, predictive_accuracy: 0.7222, prior_entropy: 0.8818, recall: 0.7222, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9865, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.707, kappa: 0.2846, kb_relative_information_score: 453.4293, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7026, predictive_accuracy: 0.7174, prior_entropy: 0.8818, recall: 0.7174, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9393, scimark_benchmark: 972.587, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6913, kappa: 0.2393, kb_relative_information_score: 1395.5044, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6871, predictive_accuracy: 0.7094, prior_entropy: 0.8818, recall: 0.7094, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9428, scimark_benchmark: 851.2074, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7267, kappa: 0.3281, kb_relative_information_score: 1878.1179, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7248, predictive_accuracy: 0.7406, prior_entropy: 0.8818, recall: 0.7406, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9147, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7527, kappa: 0.3975, kb_relative_information_score: 2939.0403, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7503, predictive_accuracy: 0.7604, prior_entropy: 0.8818, recall: 0.7604, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9056, scimark_benchmark: 943.8235, usercpu_time_millis: 40180, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 39370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7354, kappa: 0.3447, kb_relative_information_score: 1802.7041, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7418, predictive_accuracy: 0.7564, prior_entropy: 0.8818, recall: 0.7564, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 931.771, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5712, kappa: -0.0226, kb_relative_information_score: 2034.2776, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.4948, predictive_accuracy: 0.6881, prior_entropy: 0.8818, recall: 0.6881, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.2187, scimark_benchmark: 941.3847, usercpu_time_millis: 620, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7325, kappa: 0.3509, kb_relative_information_score: 2436.0992, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7292, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9346, scimark_benchmark: 947.1781, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7354, kappa: 0.3447, kb_relative_information_score: 1802.7041, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7418, predictive_accuracy: 0.7564, prior_entropy: 0.8818, recall: 0.7564, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 943.1009, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.7064, kappa: 0.2776, kb_relative_information_score: 1671.5317, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7031, predictive_accuracy: 0.7222, prior_entropy: 0.8818, recall: 0.7222, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9865, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.707, kappa: 0.2846, kb_relative_information_score: 453.4293, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7026, predictive_accuracy: 0.7174, prior_entropy: 0.8818, recall: 0.7174, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9393, scimark_benchmark: 935.2002, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6913, kappa: 0.2393, kb_relative_information_score: 1395.5044, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6871, predictive_accuracy: 0.7094, prior_entropy: 0.8818, recall: 0.7094, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9428, scimark_benchmark: 608.4057, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5712, kappa: -0.0226, kb_relative_information_score: 2034.2776, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.4948, predictive_accuracy: 0.6881, prior_entropy: 0.8818, recall: 0.6881, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.2187, scimark_benchmark: 935.5664, usercpu_time_millis: 670, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7267, kappa: 0.3281, kb_relative_information_score: 1878.1179, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7248, predictive_accuracy: 0.7406, prior_entropy: 0.8818, recall: 0.7406, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9147, scimark_benchmark: 933.3455, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7527, kappa: 0.3975, kb_relative_information_score: 2939.0403, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7503, predictive_accuracy: 0.7604, prior_entropy: 0.8818, recall: 0.7604, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9056, scimark_benchmark: 903.2737, usercpu_time_millis: 47980, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 47240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7325, kappa: 0.3509, kb_relative_information_score: 2436.0992, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7292, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9346, scimark_benchmark: 941.3057, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7354, kappa: 0.3447, kb_relative_information_score: 1802.7041, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7418, predictive_accuracy: 0.7564, prior_entropy: 0.8818, recall: 0.7564, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 936.9595, usercpu_time_millis: 260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7475, kappa: 0.3787, kb_relative_information_score: 2179.8285, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.748, predictive_accuracy: 0.7611, prior_entropy: 0.8818, recall: 0.7611, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.877, scimark_benchmark: 940.1221, usercpu_time_millis: 26740, usercpu_time_millis_testing: 7350, usercpu_time_millis_training: 19390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7439, kappa: 0.3696, kb_relative_information_score: 2177.4472, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7444, predictive_accuracy: 0.7581, prior_entropy: 0.8818, recall: 0.7581, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.878, scimark_benchmark: 931.7096, usercpu_time_millis: 12680, usercpu_time_millis_testing: 3870, usercpu_time_millis_training: 8810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7437, kappa: 0.3687, kb_relative_information_score: 2162.0493, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7446, predictive_accuracy: 0.7584, prior_entropy: 0.8818, recall: 0.7584, relative_absolute_error: 0.7727, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8822, scimark_benchmark: 922.613, usercpu_time_millis: 6160, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7396, kappa: 0.3602, kb_relative_information_score: 2147.1865, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7387, predictive_accuracy: 0.7527, prior_entropy: 0.8818, recall: 0.7527, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8903, scimark_benchmark: 896.2181, usercpu_time_millis: 2920, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.732, kappa: 0.3433, kb_relative_information_score: 2113.1891, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7295, predictive_accuracy: 0.7435, prior_entropy: 0.8818, recall: 0.7435, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.9042, scimark_benchmark: 926.5859, usercpu_time_millis: 1540, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7231, kappa: 0.3249, kb_relative_information_score: 2093.0526, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7194, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9192, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7231, kappa: 0.3249, kb_relative_information_score: 2093.0526, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7194, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9192, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7231, kappa: 0.3249, kb_relative_information_score: 2093.0526, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7194, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9192, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7206, kappa: 0.3185, kb_relative_information_score: 2047.0131, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7168, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9197, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.6959, kappa: 0.2538, kb_relative_information_score: 1554.8051, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6911, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9381, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.9541, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.702, kappa: 0.2596, kb_relative_information_score: 3165.104, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7177, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9943, scimark_benchmark: 938.3115, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.7122, kappa: 0.2879, kb_relative_information_score: 2961.1659, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7136, predictive_accuracy: 0.7337, prior_entropy: 0.8818, recall: 0.7337, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9862, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.6566, kappa: 0.1514, kb_relative_information_score: 2631.5795, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6854, predictive_accuracy: 0.7153, prior_entropy: 0.8818, recall: 0.7153, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.0259, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6658, kappa: 0.1705, kb_relative_information_score: 2320.9698, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6801, predictive_accuracy: 0.7129, prior_entropy: 0.8818, recall: 0.7129, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9978, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7325, kappa: 0.3509, kb_relative_information_score: 2436.0992, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7292, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9346, scimark_benchmark: 1350.8432, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7354, kappa: 0.3447, kb_relative_information_score: 1802.7041, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7418, predictive_accuracy: 0.7564, prior_entropy: 0.8818, recall: 0.7564, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 1320.8283, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.699, kappa: 0.2776, kb_relative_information_score: 2178.1088, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6968, predictive_accuracy: 0.7016, prior_entropy: 0.8818, recall: 0.7016, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.127, scimark_benchmark: 1321.4771, usercpu_time_millis: 490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.7015, kappa: 0.2674, kb_relative_information_score: 1761.7261, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6971, predictive_accuracy: 0.7154, prior_entropy: 0.8818, recall: 0.7154, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0369, scimark_benchmark: 1318.3027, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6913, kappa: 0.2393, kb_relative_information_score: 1395.5044, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6871, predictive_accuracy: 0.7094, prior_entropy: 0.8818, recall: 0.7094, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9428, scimark_benchmark: 1314.2279, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5712, kappa: -0.0226, kb_relative_information_score: 2034.2776, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.4948, predictive_accuracy: 0.6881, prior_entropy: 0.8818, recall: 0.6881, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.2187, scimark_benchmark: 1336.4701, usercpu_time_millis: 1000, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 1330.6748, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7354, kappa: 0.3447, kb_relative_information_score: 1802.7041, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7418, predictive_accuracy: 0.7564, prior_entropy: 0.8818, recall: 0.7564, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 1286.0816, usercpu_time_millis: 220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 1336.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7325, kappa: 0.3509, kb_relative_information_score: 2436.0992, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7292, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9346, scimark_benchmark: 1348.1311, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7286, kappa: 0.3319, kb_relative_information_score: 1905.2509, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7275, predictive_accuracy: 0.7434, prior_entropy: 0.8818, recall: 0.7434, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.9008, scimark_benchmark: 1352.06, usercpu_time_millis: 530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7396, kappa: 0.3608, kb_relative_information_score: 2592.2678, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7382, predictive_accuracy: 0.7519, prior_entropy: 0.8818, recall: 0.7519, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8993, scimark_benchmark: 1363.1824, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.7064, kappa: 0.2776, kb_relative_information_score: 1671.5317, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7031, predictive_accuracy: 0.7222, prior_entropy: 0.8818, recall: 0.7222, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9865, scimark_benchmark: 1274.7011, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5712, kappa: -0.0226, kb_relative_information_score: 2034.2776, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.4948, predictive_accuracy: 0.6881, prior_entropy: 0.8818, recall: 0.6881, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.2187, scimark_benchmark: 1318.2298, usercpu_time_millis: 990, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7354, kappa: 0.3447, kb_relative_information_score: 1802.7041, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7418, predictive_accuracy: 0.7564, prior_entropy: 0.8818, recall: 0.7564, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 1347.993, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7438, kappa: 0.3725, kb_relative_information_score: 2563.9341, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7419, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7354, kappa: 0.3447, kb_relative_information_score: 1802.7041, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7418, predictive_accuracy: 0.7564, prior_entropy: 0.8818, recall: 0.7564, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 1326.8946, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.707, kappa: 0.2846, kb_relative_information_score: 453.4293, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7026, predictive_accuracy: 0.7174, prior_entropy: 0.8818, recall: 0.7174, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9393, scimark_benchmark: 1371.9645, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7527, kappa: 0.3975, kb_relative_information_score: 2939.0402, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7503, predictive_accuracy: 0.7604, prior_entropy: 0.8818, recall: 0.7604, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9056, scimark_benchmark: 1264.9916, usercpu_time_millis: 20620, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 20240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.707, kappa: 0.2846, kb_relative_information_score: 453.4293, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7026, predictive_accuracy: 0.7174, prior_entropy: 0.8818, recall: 0.7174, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9393, scimark_benchmark: 1350.2369, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.74, kappa: 0.3697, kb_relative_information_score: 2409.6535, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.737, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.9145, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.7064, kappa: 0.2776, kb_relative_information_score: 1671.5317, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7031, predictive_accuracy: 0.7222, prior_entropy: 0.8818, recall: 0.7222, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9865, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.74, kappa: 0.3697, kb_relative_information_score: 2409.6535, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.737, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.9145, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.7319, kappa: 0.3473, kb_relative_information_score: 2326.9875, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7286, predictive_accuracy: 0.7399, prior_entropy: 0.8818, recall: 0.7399, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9201, scimark_benchmark: 1064.8317, usercpu_time_millis: 310, usercpu_time_millis_training: 310,

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