Task
Supervised Classification on meta_instanceincremental.arff

Supervised Classification on meta_instanceincremental.arff

Task 2275 Supervised Classification meta_instanceincremental.arff 399 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6965, kappa: 0.3097, kb_relative_information_score: 23.2546, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7528, predictive_accuracy: 0.6622, prior_entropy: 1.3146, recall: 0.6622, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.7673, kappa: 0.4411, kb_relative_information_score: 32.722, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7618, predictive_accuracy: 0.7973, prior_entropy: 1.3146, recall: 0.7973, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7853, kappa: 0.508, kb_relative_information_score: 33.5535, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7853, predictive_accuracy: 0.7973, prior_entropy: 1.3146, recall: 0.7973, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7526, kappa: 0.3964, kb_relative_information_score: 27.5371, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7661, predictive_accuracy: 0.7703, prior_entropy: 1.3146, recall: 0.7703, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.9395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.7098, kappa: 0.3926, kb_relative_information_score: 21.3723, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.808, predictive_accuracy: 0.6622, prior_entropy: 1.3146, recall: 0.6622, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.2273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.8217, kappa: 0.6132, kb_relative_information_score: 32.5826, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8126, predictive_accuracy: 0.8378, prior_entropy: 1.3146, recall: 0.8378, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8603, kappa: 0.6665, kb_relative_information_score: 46.5584, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8637, predictive_accuracy: 0.8649, prior_entropy: 1.3146, recall: 0.8649, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.8293, kappa: 0.592, kb_relative_information_score: 34.0748, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8482, predictive_accuracy: 0.8243, prior_entropy: 1.3146, recall: 0.8243, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9011, kappa: 0.7622, kb_relative_information_score: 53.2485, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.9123, predictive_accuracy: 0.9054, prior_entropy: 1.3146, recall: 0.9054, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7017, kappa: 0.3848, kb_relative_information_score: 22.0044, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7961, predictive_accuracy: 0.6622, prior_entropy: 1.3146, recall: 0.6622, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.1162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8901, kappa: 0.7386, kb_relative_information_score: 48.2065, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8954, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.7157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7499, kappa: 0.4583, kb_relative_information_score: 28.5791, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8263, predictive_accuracy: 0.7162, prior_entropy: 1.3146, recall: 0.7162, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.792, kappa: 0.5219, kb_relative_information_score: 34.837, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7789, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.82, kappa: 0.606, kb_relative_information_score: -9.2407, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8042, predictive_accuracy: 0.8378, prior_entropy: 1.3146, recall: 0.8378, relative_absolute_error: 1.205, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.7925, kappa: 0.5402, kb_relative_information_score: 38.8718, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7752, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7396, kappa: 0.3494, kb_relative_information_score: 25.135, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8008, predictive_accuracy: 0.7973, prior_entropy: 1.3146, recall: 0.7973, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4138, f_measure: 0.6157, kb_relative_information_score: -0.7287, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.5325, predictive_accuracy: 0.7297, prior_entropy: 1.3146, recall: 0.7297, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3328, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8691, kappa: 0.7201, kb_relative_information_score: 40.432, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8595, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8717, kappa: 0.7318, kb_relative_information_score: 46.5383, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8541, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.6649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8691, kappa: 0.7201, kb_relative_information_score: 44.8451, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8595, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8029, kappa: 0.5824, kb_relative_information_score: 37.9827, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8001, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.8027, kappa: 0.5383, kb_relative_information_score: 37.1973, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8221, predictive_accuracy: 0.7973, prior_entropy: 1.3146, recall: 0.7973, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.833, kappa: 0.6342, kb_relative_information_score: -6.4946, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8383, predictive_accuracy: 0.8649, prior_entropy: 1.3146, recall: 0.8649, relative_absolute_error: 1.1773, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.0225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8901, kappa: 0.7386, kb_relative_information_score: 51.0142, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8954, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.6705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7709, kappa: 0.5184, kb_relative_information_score: 34.6958, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8082, predictive_accuracy: 0.7568, prior_entropy: 1.3146, recall: 0.7568, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3351, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.834, kappa: 0.6423, kb_relative_information_score: -7.8459, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8217, predictive_accuracy: 0.8649, prior_entropy: 1.3146, recall: 0.8649, relative_absolute_error: 1.1823, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3411, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.834, kappa: 0.6423, kb_relative_information_score: -9.1972, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8217, predictive_accuracy: 0.8649, prior_entropy: 1.3146, recall: 0.8649, relative_absolute_error: 1.1872, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3428, root_relative_squared_error: 1.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8772, kappa: 0.7091, kb_relative_information_score: 41.021, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.9058, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.7699, kappa: 0.5271, kb_relative_information_score: 30.2933, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8304, predictive_accuracy: 0.7432, prior_entropy: 1.3146, recall: 0.7432, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3416, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7906, kappa: 0.5111, kb_relative_information_score: 38.9321, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7898, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8029, kappa: 0.5824, kb_relative_information_score: 37.9827, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8001, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 16.8841, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9027, kappa: 0.7712, kb_relative_information_score: 42.2102, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.9051, predictive_accuracy: 0.9054, prior_entropy: 1.3146, recall: 0.9054, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7947, kappa: 0.5262, kb_relative_information_score: 35.2936, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8085, predictive_accuracy: 0.7838, prior_entropy: 1.3146, recall: 0.7838, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7732, kappa: 0.4863, kb_relative_information_score: 31.279, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7536, predictive_accuracy: 0.7973, prior_entropy: 1.3146, recall: 0.7973, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9023, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8777, kappa: 0.7179, kb_relative_information_score: 49.7321, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8779, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6582, scimark_benchmark: 851.2074, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 32.5291, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9271, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8136, kappa: 0.5851, kb_relative_information_score: 40.4499, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8178, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8501, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.7973, kappa: 0.5179, kb_relative_information_score: 32.8347, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8268, predictive_accuracy: 0.8378, prior_entropy: 1.3146, recall: 0.8378, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.7469, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 905.2959,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 32.5291, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9271, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8538, kappa: 0.674, kb_relative_information_score: 38.4009, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8578, predictive_accuracy: 0.8514, prior_entropy: 1.3146, recall: 0.8514, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.255, root_relative_squared_error: 0.7686, scimark_benchmark: 879.4299, usercpu_time_millis: 1450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8772, kappa: 0.7091, kb_relative_information_score: 41.021, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.9058, predictive_accuracy: 0.8919, prior_entropy: 1.3146, recall: 0.8919, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.6344, scimark_benchmark: 928.8135, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7732, kappa: 0.4863, kb_relative_information_score: 31.279, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7536, predictive_accuracy: 0.7973, prior_entropy: 1.3146, recall: 0.7973, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9023, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7433, kappa: 0.408, kb_relative_information_score: 32.5291, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7011, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.9271, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8136, kappa: 0.5851, kb_relative_information_score: 40.4499, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8178, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8501, scimark_benchmark: 1295.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8136, kappa: 0.5851, kb_relative_information_score: 40.4499, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8178, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8501, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 1325.7874, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7732, kappa: 0.4863, kb_relative_information_score: 31.279, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.7536, predictive_accuracy: 0.7973, prior_entropy: 1.3146, recall: 0.7973, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9023, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8136, kappa: 0.5851, kb_relative_information_score: 40.4499, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8178, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8501, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8136, kappa: 0.5851, kb_relative_information_score: 40.4499, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8178, predictive_accuracy: 0.8108, prior_entropy: 1.3146, recall: 0.8108, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8501, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8752, kappa: 0.7058, kb_relative_information_score: 47.6089, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8771, predictive_accuracy: 0.8784, prior_entropy: 1.3146, recall: 0.8784, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs