Task
Supervised Classification on lymph

Supervised Classification on lymph

Task 240 Supervised Classification lymph 294 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.7586, kappa: 0.5815, kb_relative_information_score: 21.9354, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7678, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7644, kappa: 0.5963, kb_relative_information_score: 26.2697, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7399, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.7921, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.6583, kappa: 0.391, kb_relative_information_score: 23.4309, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.6528, predictive_accuracy: 0.6667, prior_entropy: 1.2818, recall: 0.6667, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.9232, scimark_benchmark: 851.2074, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8034, kappa: 0.6693, kb_relative_information_score: 29.1426, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7962, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7799, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7659, kappa: 0.5987, kb_relative_information_score: 24.3863, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7418, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7083, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8519, kappa: 0.7293, kb_relative_information_score: 37.0023, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8571, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.5723, scimark_benchmark: 927.2917, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9036, kappa: 0.8408, kb_relative_information_score: 29.7152, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9011, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6163, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8034, kappa: 0.6693, kb_relative_information_score: 29.1426, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7962, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7799, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8519, kappa: 0.7293, kb_relative_information_score: 37.0023, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8571, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.5723, scimark_benchmark: 937.5117, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9036, kappa: 0.8408, kb_relative_information_score: 29.7152, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9011, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6163, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7644, kappa: 0.5963, kb_relative_information_score: 26.2697, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7399, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.7921, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.6583, kappa: 0.391, kb_relative_information_score: 23.4309, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.6528, predictive_accuracy: 0.6667, prior_entropy: 1.2818, recall: 0.6667, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.9232, scimark_benchmark: 608.4057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8034, kappa: 0.6693, kb_relative_information_score: 29.1426, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7962, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7799, scimark_benchmark: 859.5223, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7659, kappa: 0.5987, kb_relative_information_score: 24.3863, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7418, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7083, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8519, kappa: 0.7293, kb_relative_information_score: 37.0023, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8571, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.5723, scimark_benchmark: 936.3213, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9036, kappa: 0.8408, kb_relative_information_score: 29.7152, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9011, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6163, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9056, kappa: 0.843, kb_relative_information_score: 29.9941, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8998, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5817, scimark_benchmark: 1171.0303, usercpu_time_millis: 1780, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8839, kappa: 0.8026, kb_relative_information_score: 29.2947, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8822, predictive_accuracy: 0.8958, prior_entropy: 1.2818, recall: 0.8958, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.6091, scimark_benchmark: 934.695, usercpu_time_millis: 820, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8422, kappa: 0.7181, kb_relative_information_score: 29.2264, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8496, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.6086, scimark_benchmark: 917.2109, usercpu_time_millis: 350, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.927, kappa: 0.8829, kb_relative_information_score: 30.5879, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9185, predictive_accuracy: 0.9375, prior_entropy: 1.2818, recall: 0.9375, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.5763, scimark_benchmark: 911.2316, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8667, kappa: 0.7698, kb_relative_information_score: 31.5099, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8604, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.5791, scimark_benchmark: 889.4922, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3806, kb_relative_information_score: 0.2157, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.2934, predictive_accuracy: 0.5417, prior_entropy: 1.2818, recall: 0.5417, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.742, kappa: 0.5506, kb_relative_information_score: 13.4837, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7221, predictive_accuracy: 0.7708, prior_entropy: 1.2818, recall: 0.7708, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8099, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8642, kappa: 0.7653, kb_relative_information_score: 26.3257, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8621, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.6675, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8063, kappa: 0.6789, kb_relative_information_score: 26.5728, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.781, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.7435, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.6237, kappa: 0.3263, kb_relative_information_score: 20.2392, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.625, predictive_accuracy: 0.6667, prior_entropy: 1.2818, recall: 0.6667, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.8518, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8046, kappa: 0.6751, kb_relative_information_score: 24.8536, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7813, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6979, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3806, kb_relative_information_score: 6.7551, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.2934, predictive_accuracy: 0.5417, prior_entropy: 1.2818, recall: 0.5417, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.2934, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.797, kappa: 0.6376, kb_relative_information_score: 28.1069, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8001, predictive_accuracy: 0.8125, prior_entropy: 1.2818, recall: 0.8125, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.7515, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.7964, kappa: 0.6476, kb_relative_information_score: 26.0977, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8039, predictive_accuracy: 0.8125, prior_entropy: 1.2818, recall: 0.8125, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.736, scimark_benchmark: 899.1108, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7659, kappa: 0.5987, kb_relative_information_score: 24.3863, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7418, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7083, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8519, kappa: 0.7293, kb_relative_information_score: 37.0023, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8571, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.5723, scimark_benchmark: 1319.952, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9036, kappa: 0.8408, kb_relative_information_score: 29.7152, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9011, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6163, scimark_benchmark: 1351.1238, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 1341.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9036, kappa: 0.8408, kb_relative_information_score: 29.7152, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9011, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6163, scimark_benchmark: 1337.3179, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.0684, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.5082, scimark_benchmark: 1352.06, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7644, kappa: 0.5963, kb_relative_information_score: 26.2697, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7399, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.7921, scimark_benchmark: 1348.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8034, kappa: 0.6693, kb_relative_information_score: 29.1426, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7962, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7799, scimark_benchmark: 1334.1324, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9036, kappa: 0.8408, kb_relative_information_score: 29.7152, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9011, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6163, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8732, kappa: 0.7729, kb_relative_information_score: 37.5804, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9069, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.5899, scimark_benchmark: 935.5075,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7644, kappa: 0.5963, kb_relative_information_score: 26.2697, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7399, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.7921, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.6953, kappa: 0.4395, kb_relative_information_score: 19.8942, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.695, predictive_accuracy: 0.7083, prior_entropy: 1.2818, recall: 0.7083, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.8525, scimark_benchmark: 1334.6745, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 1354.3488,

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