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: 0.7808, f_measure: 0.7417, kappa: 0.3705, kb_relative_information_score: 2426.6315, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7388, predictive_accuracy: 0.7498, prior_entropy: 0.8818, recall: 0.7498, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8955, scimark_benchmark: 949.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6999, kappa: 0.2641, kb_relative_information_score: 1726.3313, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6954, predictive_accuracy: 0.7135, prior_entropy: 0.8818, recall: 0.7135, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0389, scimark_benchmark: 1066.833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.6618, kappa: 0.1618, kb_relative_information_score: 2687.6317, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6814, predictive_accuracy: 0.7137, prior_entropy: 0.8818, recall: 0.7137, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.1676, scimark_benchmark: 1345.5871, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.6186, kappa: 0.0524, kb_relative_information_score: 1388.58, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6076, predictive_accuracy: 0.6628, prior_entropy: 0.8818, recall: 0.6628, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.2672, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6985, kappa: 0.2758, kb_relative_information_score: 1996.1603, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6961, predictive_accuracy: 0.7015, prior_entropy: 0.8818, recall: 0.7015, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0807, scimark_benchmark: 1351.788, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.5886, kappa: -0.0166, kb_relative_information_score: 1291.5977, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.5685, predictive_accuracy: 0.659, prior_entropy: 0.8818, recall: 0.659, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.584, root_relative_squared_error: 1.2743, scimark_benchmark: 1368.9272, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.6913, kappa: 0.2444, kb_relative_information_score: 2437.5195, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6861, predictive_accuracy: 0.7039, prior_entropy: 0.8818, recall: 0.7039, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.1874, scimark_benchmark: 1386.5717, usercpu_time_millis: 350, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.7262, kappa: 0.3274, kb_relative_information_score: 1853.0669, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7239, predictive_accuracy: 0.7395, prior_entropy: 0.8818, recall: 0.7395, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9435, scimark_benchmark: 1066.7184, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.699, kappa: 0.2567, kb_relative_information_score: 1633.7486, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6967, predictive_accuracy: 0.7189, prior_entropy: 0.8818, recall: 0.7189, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9699, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6711, kappa: 0.2156, kb_relative_information_score: 1530.1499, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6705, predictive_accuracy: 0.6717, prior_entropy: 0.8818, recall: 0.6717, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5637, root_relative_squared_error: 1.2302, scimark_benchmark: 1307.4861, 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: 1318.5526, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, 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: 1297.5331, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
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: 1325.942, usercpu_time_millis: 21800, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 21420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.6138, kappa: 0.0457, kb_relative_information_score: 811.7908, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6009, predictive_accuracy: 0.6402, prior_entropy: 0.8818, recall: 0.6402, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5998, root_relative_squared_error: 1.3089, scimark_benchmark: 916.9356, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7416, kappa: 0.3675, kb_relative_information_score: 2338.1622, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7394, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1318.1432, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.7372, kappa: 0.3567, kb_relative_information_score: 3563.0241, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7349, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0954, scimark_benchmark: 942.6843, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.5774, kappa: 0.0019, kb_relative_information_score: 2348.1938, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7902, predictive_accuracy: 0.7004, prior_entropy: 0.8818, recall: 0.7004, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.1944, scimark_benchmark: 1442.7264, usercpu_time_millis: 820, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.575, kappa: 0.2095, kb_relative_information_score: -1117.6455, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7159, predictive_accuracy: 0.5646, prior_entropy: 0.8818, recall: 0.5646, relative_absolute_error: 1.0363, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6598, root_relative_squared_error: 1.4399, scimark_benchmark: 1313.9994, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7131, kappa: 0.2954, kb_relative_information_score: 2045.2805, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7099, predictive_accuracy: 0.7271, prior_entropy: 0.8818, recall: 0.7271, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9857, scimark_benchmark: 937.6212, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7141, kappa: 0.2937, kb_relative_information_score: 1944.1931, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7142, predictive_accuracy: 0.7336, prior_entropy: 0.8818, recall: 0.7336, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9455, scimark_benchmark: 1325.2092, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6854, kappa: 0.2197, kb_relative_information_score: 1223.601, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6858, predictive_accuracy: 0.7133, prior_entropy: 0.8818, recall: 0.7133, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9354, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.6965, kappa: 0.2513, kb_relative_information_score: 1540.8376, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6932, predictive_accuracy: 0.7152, prior_entropy: 0.8818, recall: 0.7152, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.9251, scimark_benchmark: 1442.7264, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7117, kappa: 0.29, kb_relative_information_score: 1811.347, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7092, predictive_accuracy: 0.7279, prior_entropy: 0.8818, recall: 0.7279, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9135, scimark_benchmark: 935.5075, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7265, kappa: 0.3292, kb_relative_information_score: 2072.8321, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7238, predictive_accuracy: 0.7388, prior_entropy: 0.8818, recall: 0.7388, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9015, scimark_benchmark: 937.1527, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.737, kappa: 0.3563, kb_relative_information_score: 2240.7625, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7345, predictive_accuracy: 0.7475, prior_entropy: 0.8818, recall: 0.7475, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8976, scimark_benchmark: 1325.2092, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7202, kappa: 0.3155, kb_relative_information_score: 1790.3138, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7166, predictive_accuracy: 0.7312, prior_entropy: 0.8818, recall: 0.7312, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9373, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7322, kappa: 0.3411, kb_relative_information_score: 1889.7211, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7313, predictive_accuracy: 0.7466, prior_entropy: 0.8818, recall: 0.7466, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.9068, scimark_benchmark: 882.7843, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.726, kappa: 0.3288, kb_relative_information_score: 1974.7156, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.723, predictive_accuracy: 0.7376, prior_entropy: 0.8818, recall: 0.7376, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9144, scimark_benchmark: 1307.4861, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7416, kappa: 0.3682, kb_relative_information_score: 2322.2266, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7392, predictive_accuracy: 0.7515, prior_entropy: 0.8818, recall: 0.7515, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9034, scimark_benchmark: 1320.2556, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1299.5783, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1339.4189,
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: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6918, kappa: 0.239, kb_relative_information_score: 1397.2497, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6887, predictive_accuracy: 0.7123, prior_entropy: 0.8818, recall: 0.7123, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9394, scimark_benchmark: 1334.9446, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.6868, kappa: 0.225, kb_relative_information_score: 1309.591, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.7293, predictive_accuracy: 0.738, prior_entropy: 0.8818, recall: 0.738, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9128, scimark_benchmark: 1263.2205, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 1338.01, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.5765, kb_relative_information_score: 607.6394, mean_absolute_error: 0.3767, 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: 0.8965, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9475, scimark_benchmark: 1330.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.7213, kappa: 0.3149, kb_relative_information_score: 2079.9925, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.719, predictive_accuracy: 0.7356, prior_entropy: 0.8818, recall: 0.7356, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0017, scimark_benchmark: 1334.8495, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.6138, kappa: 0.0457, kb_relative_information_score: 811.7908, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6009, predictive_accuracy: 0.6402, prior_entropy: 0.8818, recall: 0.6402, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5998, root_relative_squared_error: 1.3089, scimark_benchmark: 1327.035, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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: 1345.3152, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
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: 942.9708, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6941, kappa: 0.2584, kb_relative_information_score: 2053.2702, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4202, number_of_instances: 10000, precision: 0.6897, predictive_accuracy: 0.701, prior_entropy: 0.8818, recall: 0.701, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.064, scimark_benchmark: 1323.4648, usercpu_time_millis: 4840, usercpu_time_millis_testing: 4840,
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,
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: 0.6773, 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: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1350.2369, 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: 1371.9645, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 0.7856, 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: 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: 0.4918, 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: 0.6773, 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: 0.7853, 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: 0.7706, 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: 0.7599, 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: 0.7856, 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: 0.7753, 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: 1330.6748, 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: 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: 0.7258, 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: 0.648, 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: 0.6638, 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: 0.7753, 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,

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