Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.6373, kappa: 0.28, kb_relative_information_score: 295.8697, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6443, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.467, root_relative_squared_error: 0.934, scimark_benchmark: 914.2347, usercpu_time_millis: 232.426, usercpu_time_millis_testing: 1.57, usercpu_time_millis_training: 230.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8207, kappa: 0.6415, kb_relative_information_score: 905.057, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8215, predictive_accuracy: 0.8208, prior_entropy: 1, recall: 0.8208, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7732, scimark_benchmark: 965.909, usercpu_time_millis: 1491.115, usercpu_time_millis_testing: 2.131, usercpu_time_millis_training: 1488.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7164, kappa: 0.4369, kb_relative_information_score: 520.2409, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7249, predictive_accuracy: 0.7185, prior_entropy: 1, recall: 0.7185, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8819, scimark_benchmark: 1047.2251, usercpu_time_millis: 303.301, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 301.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8132, kappa: 0.6269, kb_relative_information_score: 758.1428, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8149, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8007, scimark_benchmark: 1041.622, usercpu_time_millis: 61.607, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 60.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7345, kappa: 0.4692, kb_relative_information_score: 717.9699, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.735, predictive_accuracy: 0.7346, prior_entropy: 1, recall: 0.7346, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8426, scimark_benchmark: 922.4236, usercpu_time_millis: 386.502, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 385.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7993, kappa: 0.5992, kb_relative_information_score: 788.3835, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8013, predictive_accuracy: 0.7996, prior_entropy: 1, recall: 0.7996, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8056, scimark_benchmark: 915.6271, usercpu_time_millis: 2383.438, usercpu_time_millis_testing: 3.578, usercpu_time_millis_training: 2379.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.1365, usercpu_time_millis: 6.711, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 5.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7656, kappa: 0.5323, kb_relative_information_score: 692.8183, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7688, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 953.473, usercpu_time_millis: 110.496, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 109.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7378, kappa: 0.4792, kb_relative_information_score: 546.454, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7465, predictive_accuracy: 0.7396, prior_entropy: 1, recall: 0.7396, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8686, scimark_benchmark: 931.7083, usercpu_time_millis: 976.957, usercpu_time_millis_testing: 3.243, usercpu_time_millis_training: 973.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7931, kappa: 0.5869, kb_relative_information_score: 777.0411, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7954, predictive_accuracy: 0.7935, prior_entropy: 1, recall: 0.7935, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8099, scimark_benchmark: 1034.3791, usercpu_time_millis: 3488.993, usercpu_time_millis_testing: 4.357, usercpu_time_millis_training: 3484.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 994.9829, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8338, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7458, scimark_benchmark: 907.1819, usercpu_time_millis: 3222.048, usercpu_time_millis_testing: 5.326, usercpu_time_millis_training: 3216.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7119, kappa: 0.4254, kb_relative_information_score: 596.2623, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7149, predictive_accuracy: 0.7127, prior_entropy: 1, recall: 0.7127, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8653, scimark_benchmark: 959.0243, usercpu_time_millis: 102.873, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 102.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7572, kappa: 0.5169, kb_relative_information_score: 547.1556, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7641, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8597, scimark_benchmark: 963.479, usercpu_time_millis: 549.663, usercpu_time_millis_testing: 4.665, usercpu_time_millis_training: 544.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8253, kappa: 0.6508, kb_relative_information_score: 988.2568, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8257, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.378, root_relative_squared_error: 0.756, scimark_benchmark: 937.393, usercpu_time_millis: 1585.755, usercpu_time_millis_testing: 2.159, usercpu_time_millis_training: 1583.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7374, kappa: 0.4777, kb_relative_information_score: 534.8759, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7442, predictive_accuracy: 0.7388, prior_entropy: 1, recall: 0.7388, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8702, scimark_benchmark: 1032.9139, usercpu_time_millis: 78.435, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 77.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.6991, kappa: 0.4015, kb_relative_information_score: 329.0419, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7054, predictive_accuracy: 0.7008, prior_entropy: 1, recall: 0.7008, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9185, scimark_benchmark: 1016.8383, usercpu_time_millis: 84.633, usercpu_time_millis_testing: 2.256, usercpu_time_millis_training: 82.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 997.1558, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8349, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7472, scimark_benchmark: 966.2878, usercpu_time_millis: 1287.35, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 1285.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7077, kappa: 0.42, kb_relative_information_score: 409.9571, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7169, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9043, scimark_benchmark: 947.5204, usercpu_time_millis: 682.676, usercpu_time_millis_testing: 2.959, usercpu_time_millis_training: 679.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6159, kappa: 0.2323, kb_relative_information_score: 193.2883, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6164, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9673, scimark_benchmark: 927.4461, usercpu_time_millis: 141.984, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 140.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8183, kappa: 0.6369, kb_relative_information_score: 793.7287, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8199, predictive_accuracy: 0.8185, prior_entropy: 1, recall: 0.8185, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7923, scimark_benchmark: 923.9434, usercpu_time_millis: 592.411, usercpu_time_millis_testing: 4.119, usercpu_time_millis_training: 588.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.828, kappa: 0.6562, kb_relative_information_score: 970.3852, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8285, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 885.3433, usercpu_time_millis: 2234.543, usercpu_time_millis_testing: 3.388, usercpu_time_millis_training: 2231.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.706, kappa: 0.4131, kb_relative_information_score: 603.7297, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7081, predictive_accuracy: 0.7065, prior_entropy: 1, recall: 0.7065, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8663, scimark_benchmark: 994.1603, usercpu_time_millis: 258.365, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 257.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7127, kappa: 0.4269, kb_relative_information_score: 602.8374, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7157, predictive_accuracy: 0.7135, prior_entropy: 1, recall: 0.7135, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8673, scimark_benchmark: 1002.0295, usercpu_time_millis: 160.109, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 159.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8067, kappa: 0.6138, kb_relative_information_score: 775.7519, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8081, predictive_accuracy: 0.8069, prior_entropy: 1, recall: 0.8069, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.401, root_relative_squared_error: 0.802, scimark_benchmark: 1078.9514, usercpu_time_millis: 726.159, usercpu_time_millis_testing: 2.432, usercpu_time_millis_training: 723.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 1034.2857, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.843, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7341, scimark_benchmark: 896.9847, usercpu_time_millis: 590.18, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 588.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 187.1463, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9719, scimark_benchmark: 993.1441, usercpu_time_millis: 79.829, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 79.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.6149, kappa: 0.23, kb_relative_information_score: 194.2184, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6152, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9626, scimark_benchmark: 1013.5294, usercpu_time_millis: 105.963, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 104.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8562, kappa: 0.7123, kb_relative_information_score: 1367.4275, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8562, predictive_accuracy: 0.8562, prior_entropy: 1, recall: 0.8562, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6666, scimark_benchmark: 986.7083, usercpu_time_millis: 2148.141, usercpu_time_millis_testing: 2.979, usercpu_time_millis_training: 2145.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8219, kappa: 0.6438, kb_relative_information_score: 985.6538, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8221, predictive_accuracy: 0.8219, prior_entropy: 1, recall: 0.8219, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7574, scimark_benchmark: 1034.7087, usercpu_time_millis: 487.607, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 486.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8215, kappa: 0.6431, kb_relative_information_score: 821.5023, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8222, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 952.9552, usercpu_time_millis: 561.56, usercpu_time_millis_testing: 2.434, usercpu_time_millis_training: 559.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1036.9368, usercpu_time_millis: 6.106, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 4.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.617, kappa: 0.2346, kb_relative_information_score: 189.4981, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9687, scimark_benchmark: 970.5545, usercpu_time_millis: 53.912, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 53.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8141, kappa: 0.6285, kb_relative_information_score: 860.4414, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8151, predictive_accuracy: 0.8142, prior_entropy: 1, recall: 0.8142, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7857, scimark_benchmark: 931.7678, usercpu_time_millis: 429.35, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 428.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 979.4319, usercpu_time_millis: 5.994, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 4.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8315, kappa: 0.6631, kb_relative_information_score: 1023.1638, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8318, predictive_accuracy: 0.8315, prior_entropy: 1, recall: 0.8315, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7443, scimark_benchmark: 1025.9789, usercpu_time_millis: 1168.773, usercpu_time_millis_testing: 1.984, usercpu_time_millis_training: 1166.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 957.6484, usercpu_time_millis: 4.636, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 3.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.748, kappa: 0.4992, kb_relative_information_score: 634.3761, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7562, predictive_accuracy: 0.7496, prior_entropy: 1, recall: 0.7496, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8487, scimark_benchmark: 924.2838, usercpu_time_millis: 897.615, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 895.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8134, kappa: 0.6269, kb_relative_information_score: 895.1236, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8141, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7776, scimark_benchmark: 944.8897, usercpu_time_millis: 816.69, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 815.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 180.4833, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6161, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9685, scimark_benchmark: 966.7375, usercpu_time_millis: 15.833, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 15.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7335, kappa: 0.4708, kb_relative_information_score: 575.1596, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7423, predictive_accuracy: 0.7354, prior_entropy: 1, recall: 0.7354, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8649, scimark_benchmark: 931.4838, usercpu_time_millis: 585.096, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 583.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.6081, kappa: 0.2162, kb_relative_information_score: 45.6577, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6081, predictive_accuracy: 0.6081, prior_entropy: 1, recall: 0.6081, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 962.7128, usercpu_time_millis: 19.224, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 17.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.821, kappa: 0.6423, kb_relative_information_score: 790.3842, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8226, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7928, scimark_benchmark: 978.8548, usercpu_time_millis: 1046.137, usercpu_time_millis_testing: 4.449, usercpu_time_millis_training: 1041.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 934.109, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8418, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7572, scimark_benchmark: 929.5634, usercpu_time_millis: 85.523, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 84.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8404, kappa: 0.6808, kb_relative_information_score: 1144.4662, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8406, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7151, scimark_benchmark: 1042.3262, usercpu_time_millis: 722.328, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 720.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8611, kappa: 0.7223, kb_relative_information_score: 1209.6678, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8612, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6891, scimark_benchmark: 935.0144, usercpu_time_millis: 68.242, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 67.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7576, kappa: 0.5177, kb_relative_information_score: 601.0092, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7644, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8492, scimark_benchmark: 991.0657, usercpu_time_millis: 421.736, usercpu_time_millis_testing: 2.546, usercpu_time_millis_training: 419.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.823, kappa: 0.6462, kb_relative_information_score: 844.9697, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8239, predictive_accuracy: 0.8231, prior_entropy: 1, recall: 0.8231, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7809, scimark_benchmark: 895.0602, usercpu_time_millis: 466.602, usercpu_time_millis_testing: 1.928, usercpu_time_millis_training: 464.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8257, kappa: 0.6515, kb_relative_information_score: 901.7225, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8264, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7748, scimark_benchmark: 1005.7591, usercpu_time_millis: 359.577, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 358.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8148, kappa: 0.63, kb_relative_information_score: 785.5992, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8164, predictive_accuracy: 0.815, prior_entropy: 1, recall: 0.815, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.797, scimark_benchmark: 930.5175, usercpu_time_millis: 250.058, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 248.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7448, kappa: 0.4915, kb_relative_information_score: 638.2802, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7497, predictive_accuracy: 0.7458, prior_entropy: 1, recall: 0.7458, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8477, scimark_benchmark: 1022.276, usercpu_time_millis: 306.588, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 305.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1018.5648, usercpu_time_millis: 7.189, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 5.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.6173, kappa: 0.2354, kb_relative_information_score: 165.1813, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6181, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.969, scimark_benchmark: 959.7219, usercpu_time_millis: 45.363, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 44.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7741, kappa: 0.55, kb_relative_information_score: 595.1544, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7793, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8477, scimark_benchmark: 997.3811, usercpu_time_millis: 27.438, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 26.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 965.8138, usercpu_time_millis: 5.539, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 4.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8169, kappa: 0.6338, kb_relative_information_score: 1398.9087, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8169, predictive_accuracy: 0.8169, prior_entropy: 1, recall: 0.8169, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7274, scimark_benchmark: 1771.7805, usercpu_time_millis: 2205.424, usercpu_time_millis_testing: 2.191, usercpu_time_millis_training: 2203.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8168, kappa: 0.6338, kb_relative_information_score: 911.2534, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8175, predictive_accuracy: 0.8169, prior_entropy: 1, recall: 0.8169, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7741, scimark_benchmark: 1732.7302, usercpu_time_millis: 819.201, usercpu_time_millis_testing: 1.674, usercpu_time_millis_training: 817.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7995, kappa: 0.5992, kb_relative_information_score: 833.9625, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8002, predictive_accuracy: 0.7996, prior_entropy: 1, recall: 0.7996, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7959, scimark_benchmark: 1761.6364, usercpu_time_millis: 787.079, usercpu_time_millis_testing: 1.754, usercpu_time_millis_training: 785.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8504, kappa: 0.7008, kb_relative_information_score: 1033.9537, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8507, predictive_accuracy: 0.8504, prior_entropy: 1, recall: 0.8504, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7305, scimark_benchmark: 1731.5003, usercpu_time_millis: 389.786, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 388.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8098, kappa: 0.62, kb_relative_information_score: 833.2542, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8111, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7933, scimark_benchmark: 1425.21, usercpu_time_millis: 594.62, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 592.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8035, kappa: 0.6077, kb_relative_information_score: 732.3541, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.806, predictive_accuracy: 0.8038, prior_entropy: 1, recall: 0.8038, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1814.6417, usercpu_time_millis: 288.088, usercpu_time_millis_testing: 1.967, usercpu_time_millis_training: 286.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8044, kappa: 0.6092, kb_relative_information_score: 816.8189, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8057, predictive_accuracy: 0.8046, prior_entropy: 1, recall: 0.8046, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.7984, scimark_benchmark: 1746.6716, usercpu_time_millis: 1087.725, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 1085.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8226, kappa: 0.6454, kb_relative_information_score: 846.4361, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8236, predictive_accuracy: 0.8227, prior_entropy: 1, recall: 0.8227, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7837, scimark_benchmark: 1726.7615, usercpu_time_millis: 272.764, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 271.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 1365.2226, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.663, scimark_benchmark: 1740.173, usercpu_time_millis: 1930.587, usercpu_time_millis_testing: 3.034, usercpu_time_millis_training: 1927.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8172, kappa: 0.6346, kb_relative_information_score: 868.2987, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8183, predictive_accuracy: 0.8173, prior_entropy: 1, recall: 0.8173, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7849, scimark_benchmark: 1750.1764, usercpu_time_millis: 1025.19, usercpu_time_millis_testing: 1.687, usercpu_time_millis_training: 1023.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7963, kappa: 0.5931, kb_relative_information_score: 757.6557, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7981, predictive_accuracy: 0.7965, prior_entropy: 1, recall: 0.7965, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8099, scimark_benchmark: 1738.9133, usercpu_time_millis: 142.631, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 141.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8326, kappa: 0.6654, kb_relative_information_score: 1032.6177, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8331, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.6491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7447, scimark_benchmark: 1724.4964, usercpu_time_millis: 134.742, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 134.375,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6481, kappa: 0.2969, kb_relative_information_score: 153.1486, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.649, predictive_accuracy: 0.6485, prior_entropy: 1, recall: 0.6485, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9611, scimark_benchmark: 1719.1731, usercpu_time_millis: 61.803, usercpu_time_millis_testing: 2.679, usercpu_time_millis_training: 59.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 908.4939, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8204, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7748, scimark_benchmark: 1818.1793, usercpu_time_millis: 41.125, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 40.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6115, kappa: 0.2231, kb_relative_information_score: 214.3076, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6115, predictive_accuracy: 0.6115, prior_entropy: 1, recall: 0.6115, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9527, scimark_benchmark: 1817.7098, usercpu_time_millis: 30.917, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 30.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6587, kappa: 0.3177, kb_relative_information_score: 198.1164, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6592, predictive_accuracy: 0.6588, prior_entropy: 1, recall: 0.6588, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9523, scimark_benchmark: 1716.3734, usercpu_time_millis: 11.779, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 10.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7268, kappa: 0.4562, kb_relative_information_score: 577.2034, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7324, predictive_accuracy: 0.7281, prior_entropy: 1, recall: 0.7281, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.867, scimark_benchmark: 1727.2167, usercpu_time_millis: 12.807, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 12.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1762.0869, usercpu_time_millis: 6.704, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 5.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7511, kappa: 0.5031, kb_relative_information_score: 694.9052, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7533, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8364, scimark_benchmark: 1424.0487, usercpu_time_millis: 148.213, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 147.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 1033.6478, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.741, scimark_benchmark: 1462.7394, usercpu_time_millis: 1685.6, usercpu_time_millis_testing: 2.169, usercpu_time_millis_training: 1683.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1438.7469, usercpu_time_millis: 2.817, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 2.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.6722, kappa: 0.3485, kb_relative_information_score: 331.466, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6786, predictive_accuracy: 0.6742, prior_entropy: 1, recall: 0.6742, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9223, scimark_benchmark: 1434.5423, usercpu_time_millis: 90.594, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 89.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8326, kappa: 0.6654, kb_relative_information_score: 1033.4578, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8331, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7386, scimark_benchmark: 1426.9204, usercpu_time_millis: 364.824, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 363.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6125, kappa: 0.2254, kb_relative_information_score: 179.8692, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6129, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9679, scimark_benchmark: 1382.809, usercpu_time_millis: 8.877, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 8.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7299, kappa: 0.46, kb_relative_information_score: 708.0138, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8445, scimark_benchmark: 1748.7786, usercpu_time_millis: 424.216, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 423.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.6934, kappa: 0.3892, kb_relative_information_score: 272.3083, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6978, predictive_accuracy: 0.6946, prior_entropy: 1, recall: 0.6946, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9312, scimark_benchmark: 1433.4345, usercpu_time_millis: 60.594, usercpu_time_millis_testing: 1.509, usercpu_time_millis_training: 59.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8053, kappa: 0.6108, kb_relative_information_score: 858.0347, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8061, predictive_accuracy: 0.8054, prior_entropy: 1, recall: 0.8054, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7917, scimark_benchmark: 1734.4991, usercpu_time_millis: 405.659, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 404.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.76, kappa: 0.5215, kb_relative_information_score: 667.0401, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7642, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8388, scimark_benchmark: 1777.5189, usercpu_time_millis: 347.176, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 345.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.719, kappa: 0.4415, kb_relative_information_score: 426.1105, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7266, predictive_accuracy: 0.7208, prior_entropy: 1, recall: 0.7208, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8967, scimark_benchmark: 1444.7566, usercpu_time_millis: 179.609, usercpu_time_millis_testing: 1.928, usercpu_time_millis_training: 177.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1010.7728, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7382, scimark_benchmark: 1738.7434, usercpu_time_millis: 1155.069, usercpu_time_millis_testing: 2.449, usercpu_time_millis_training: 1152.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1437.8351, usercpu_time_millis: 3.116, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 2.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7515, kappa: 0.5054, kb_relative_information_score: 611.9744, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7577, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8508, scimark_benchmark: 1712.2563, usercpu_time_millis: 203.298, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 202.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7576, kappa: 0.5177, kb_relative_information_score: 575.1979, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7644, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8536, scimark_benchmark: 1780.1825, usercpu_time_millis: 193.769, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 191.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7227, kappa: 0.4485, kb_relative_information_score: 556.2804, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7292, predictive_accuracy: 0.7242, prior_entropy: 1, recall: 0.7242, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8731, scimark_benchmark: 1745.1361, usercpu_time_millis: 188.351, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 187.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8434, kappa: 0.6869, kb_relative_information_score: 1274.8672, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8436, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6942, scimark_benchmark: 1441.929, usercpu_time_millis: 1243.614, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 1242.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8203, kappa: 0.6408, kb_relative_information_score: 858.8579, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8211, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7801, scimark_benchmark: 1770.8451, usercpu_time_millis: 177.731, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 176.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7344, kappa: 0.4723, kb_relative_information_score: 499.1371, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7427, predictive_accuracy: 0.7362, prior_entropy: 1, recall: 0.7362, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.439, root_relative_squared_error: 0.878, scimark_benchmark: 1413.0159, usercpu_time_millis: 334.526, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 332.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6209, kappa: 0.2431, kb_relative_information_score: 277.9051, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6224, predictive_accuracy: 0.6215, prior_entropy: 1, recall: 0.6215, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9457, scimark_benchmark: 1731.6389, usercpu_time_millis: 151.162, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 150.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6652, kappa: 0.3362, kb_relative_information_score: 423.7393, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.674, predictive_accuracy: 0.6681, prior_entropy: 1, recall: 0.6681, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9222, scimark_benchmark: 1751.5479, usercpu_time_millis: 136.949, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 136.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7426, kappa: 0.4885, kb_relative_information_score: 487.227, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7506, predictive_accuracy: 0.7442, prior_entropy: 1, recall: 0.7442, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8784, scimark_benchmark: 1750.9293, usercpu_time_millis: 136.511, usercpu_time_millis_testing: 1.704, usercpu_time_millis_training: 134.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7621, kappa: 0.5246, kb_relative_information_score: 715.4413, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7631, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8311, scimark_benchmark: 1459.8382, usercpu_time_millis: 652.998, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 651.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7414, kappa: 0.4854, kb_relative_information_score: 440.2385, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7476, predictive_accuracy: 0.7427, prior_entropy: 1, recall: 0.7427, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8873, scimark_benchmark: 1748.4281, usercpu_time_millis: 70.149, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 69.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7531, kappa: 0.5085, kb_relative_information_score: 642.2979, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7588, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8443, scimark_benchmark: 1764.4709, usercpu_time_millis: 55.483, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 55.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7768, kappa: 0.5546, kb_relative_information_score: 701.2206, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7797, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8265, scimark_benchmark: 1775.2087, usercpu_time_millis: 43.108, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 42.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7471, kappa: 0.4969, kb_relative_information_score: 586.711, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7538, predictive_accuracy: 0.7485, prior_entropy: 1, recall: 0.7485, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.855, scimark_benchmark: 1739.906, usercpu_time_millis: 31.26, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 30.875,

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