OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 1907 Supervised Classification colic 189 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8478, kappa: 0.6688, kb_relative_information_score: 1884.7902, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8526, predictive_accuracy: 0.8514, prior_entropy: 0.9509, recall: 0.8514, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7422, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8355, kappa: 0.6434, kb_relative_information_score: 1622.953, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8364, predictive_accuracy: 0.8378, prior_entropy: 0.9509, recall: 0.8378, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7331, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8332, kappa: 0.6395, kb_relative_information_score: 1951.0689, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8333, predictive_accuracy: 0.8348, prior_entropy: 0.9509, recall: 0.8348, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.735, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7153, kappa: 0.3784, kb_relative_information_score: 1486.5271, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.726, predictive_accuracy: 0.7304, prior_entropy: 0.9509, recall: 0.7304, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0756, scimark_benchmark: 931.771, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7153, kappa: 0.3784, kb_relative_information_score: 1486.5271, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.726, predictive_accuracy: 0.7304, prior_entropy: 0.9509, recall: 0.7304, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0756, scimark_benchmark: 941.6675, usercpu_time_millis: 240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8441, kappa: 0.6619, kb_relative_information_score: 1948.9817, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8456, predictive_accuracy: 0.8465, prior_entropy: 0.9509, recall: 0.8465, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7123, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8225, kappa: 0.6173, kb_relative_information_score: 1924.0545, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8221, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7625, scimark_benchmark: 943.8235, usercpu_time_millis: 4720, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8563, kappa: 0.6888, kb_relative_information_score: 1736.9286, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8574, predictive_accuracy: 0.8582, prior_entropy: 0.9509, recall: 0.8582, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6993, scimark_benchmark: 931.771, usercpu_time_millis: 420, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7153, kappa: 0.3784, kb_relative_information_score: 1486.5271, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.726, predictive_accuracy: 0.7304, prior_entropy: 0.9509, recall: 0.7304, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0756, scimark_benchmark: 947.1781, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8197, kappa: 0.6106, kb_relative_information_score: 2050.3511, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8195, predictive_accuracy: 0.8212, prior_entropy: 0.9509, recall: 0.8212, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7904, scimark_benchmark: 938.5498, usercpu_time_millis: 1170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8563, kappa: 0.6888, kb_relative_information_score: 1736.9286, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8574, predictive_accuracy: 0.8582, prior_entropy: 0.9509, recall: 0.8582, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6993, scimark_benchmark: 943.1009, usercpu_time_millis: 420, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8478, kappa: 0.6688, kb_relative_information_score: 1884.7902, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8526, predictive_accuracy: 0.8514, prior_entropy: 0.9509, recall: 0.8514, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7422, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8355, kappa: 0.6434, kb_relative_information_score: 1622.953, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8364, predictive_accuracy: 0.8378, prior_entropy: 0.9509, recall: 0.8378, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7331, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8332, kappa: 0.6395, kb_relative_information_score: 1951.0689, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8333, predictive_accuracy: 0.8348, prior_entropy: 0.9509, recall: 0.8348, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.735, scimark_benchmark: 936.2574, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7153, kappa: 0.3784, kb_relative_information_score: 1486.5271, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.726, predictive_accuracy: 0.7304, prior_entropy: 0.9509, recall: 0.7304, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0756, scimark_benchmark: 936.2574, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.8108, kappa: 0.5959, kb_relative_information_score: 1940.4995, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.812, predictive_accuracy: 0.8101, prior_entropy: 0.9509, recall: 0.8101, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8459, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8441, kappa: 0.6619, kb_relative_information_score: 1948.9817, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8456, predictive_accuracy: 0.8465, prior_entropy: 0.9509, recall: 0.8465, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7123, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8225, kappa: 0.6173, kb_relative_information_score: 1924.0545, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8221, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7625, scimark_benchmark: 936.9595, usercpu_time_millis: 3640, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8197, kappa: 0.6106, kb_relative_information_score: 2050.3511, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8195, predictive_accuracy: 0.8212, prior_entropy: 0.9509, recall: 0.8212, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7904, scimark_benchmark: 936.3213, usercpu_time_millis: 1170, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8563, kappa: 0.6888, kb_relative_information_score: 1736.9286, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8574, predictive_accuracy: 0.8582, prior_entropy: 0.9509, recall: 0.8582, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6993, scimark_benchmark: 1051.249, usercpu_time_millis: 450, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8543, kappa: 0.6843, kb_relative_information_score: 1969.1679, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8555, predictive_accuracy: 0.8563, prior_entropy: 0.9509, recall: 0.8563, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6909, scimark_benchmark: 933.4823, usercpu_time_millis: 8390, usercpu_time_millis_testing: 3080, usercpu_time_millis_training: 5310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8512, kappa: 0.6779, kb_relative_information_score: 1972.6551, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.852, predictive_accuracy: 0.853, prior_entropy: 0.9509, recall: 0.853, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6906, scimark_benchmark: 926.5462, usercpu_time_millis: 3730, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8511, kappa: 0.6776, kb_relative_information_score: 1967.6356, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.852, predictive_accuracy: 0.853, prior_entropy: 0.9509, recall: 0.853, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6946, scimark_benchmark: 944.235, usercpu_time_millis: 1850, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8473, kappa: 0.6694, kb_relative_information_score: 1947.5159, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8481, predictive_accuracy: 0.8492, prior_entropy: 0.9509, recall: 0.8492, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7024, scimark_benchmark: 905.3417, usercpu_time_millis: 790, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8422, kappa: 0.6584, kb_relative_information_score: 1956.6375, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8427, predictive_accuracy: 0.844, prior_entropy: 0.9509, recall: 0.844, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.7135, scimark_benchmark: 926.5859, usercpu_time_millis: 430, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8133, kappa: 0.5984, kb_relative_information_score: 1743.2775, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.813, predictive_accuracy: 0.8139, prior_entropy: 0.9509, recall: 0.8139, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7919, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8133, kappa: 0.5984, kb_relative_information_score: 1743.2775, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.813, predictive_accuracy: 0.8139, prior_entropy: 0.9509, recall: 0.8139, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7919, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8133, kappa: 0.5984, kb_relative_information_score: 1743.2775, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.813, predictive_accuracy: 0.8139, prior_entropy: 0.9509, recall: 0.8139, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7919, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8136, kappa: 0.599, kb_relative_information_score: 1744.0422, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8133, predictive_accuracy: 0.8141, prior_entropy: 0.9509, recall: 0.8141, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7913, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8133, kappa: 0.5984, kb_relative_information_score: 1724.4045, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.813, predictive_accuracy: 0.8139, prior_entropy: 0.9509, recall: 0.8139, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7897, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8331, kappa: 0.6422, kb_relative_information_score: 2280.9934, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8333, predictive_accuracy: 0.8329, prior_entropy: 0.9509, recall: 0.8329, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.8089, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8563, kappa: 0.6888, kb_relative_information_score: 1736.9286, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8574, predictive_accuracy: 0.8582, prior_entropy: 0.9509, recall: 0.8582, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6993, scimark_benchmark: 1320.8283, usercpu_time_millis: 440, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7934, kappa: 0.557, kb_relative_information_score: 1880.5712, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.7936, predictive_accuracy: 0.7932, prior_entropy: 0.9509, recall: 0.7932, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8937, scimark_benchmark: 1256.2802, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8332, kappa: 0.6395, kb_relative_information_score: 1951.0689, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8333, predictive_accuracy: 0.8348, prior_entropy: 0.9509, recall: 0.8348, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.735, scimark_benchmark: 1338.6772, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 1330.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8563, kappa: 0.6888, kb_relative_information_score: 1736.9286, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8574, predictive_accuracy: 0.8582, prior_entropy: 0.9509, recall: 0.8582, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6993, scimark_benchmark: 1303.9481, usercpu_time_millis: 550, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8478, kappa: 0.6688, kb_relative_information_score: 1884.7902, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8526, predictive_accuracy: 0.8514, prior_entropy: 0.9509, recall: 0.8514, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7422, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 1316.6799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8478, kappa: 0.6688, kb_relative_information_score: 1884.7902, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8526, predictive_accuracy: 0.8514, prior_entropy: 0.9509, recall: 0.8514, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7422, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7153, kappa: 0.3784, kb_relative_information_score: 1486.5271, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.726, predictive_accuracy: 0.7304, prior_entropy: 0.9509, recall: 0.7304, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0756, scimark_benchmark: 1318.2298, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.8108, kappa: 0.5959, kb_relative_information_score: 1940.4995, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.812, predictive_accuracy: 0.8101, prior_entropy: 0.9509, recall: 0.8101, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8459, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8563, kappa: 0.6888, kb_relative_information_score: 1736.9286, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8574, predictive_accuracy: 0.8582, prior_entropy: 0.9509, recall: 0.8582, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6993, scimark_benchmark: 1281.7531, usercpu_time_millis: 490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8225, kappa: 0.6173, kb_relative_information_score: 1924.0584, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8221, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7625, scimark_benchmark: 1264.9916, usercpu_time_millis: 2590, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8355, kappa: 0.6434, kb_relative_information_score: 1622.953, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8364, predictive_accuracy: 0.8378, prior_entropy: 0.9509, recall: 0.8378, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7331, scimark_benchmark: 1350.2369, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.8108, kappa: 0.5959, kb_relative_information_score: 1940.4995, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.812, predictive_accuracy: 0.8101, prior_entropy: 0.9509, recall: 0.8101, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8459, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7153, kappa: 0.3784, kb_relative_information_score: 1486.5271, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.726, predictive_accuracy: 0.7304, prior_entropy: 0.9509, recall: 0.7304, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0756, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8168, kappa: 0.6066, kb_relative_information_score: 1956.6513, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8167, predictive_accuracy: 0.8168, prior_entropy: 0.9509, recall: 0.8168, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7843, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7615, kappa: 0.4937, kb_relative_information_score: 1662.732, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.7653, predictive_accuracy: 0.7595, prior_entropy: 0.9509, recall: 0.7595, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9709, scimark_benchmark: 942.9708, usercpu_time_millis: 700, usercpu_time_millis_testing: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8355, kappa: 0.6434, kb_relative_information_score: 1622.953, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8364, predictive_accuracy: 0.8378, prior_entropy: 0.9509, recall: 0.8378, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7331, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8308, kappa: 0.6336, kb_relative_information_score: 1924.2333, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8313, predictive_accuracy: 0.8329, prior_entropy: 0.9509, recall: 0.8329, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7685, scimark_benchmark: 1340.1351, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8332, kappa: 0.6395, kb_relative_information_score: 1951.0689, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4662, number_of_instances: 3680, precision: 0.8333, predictive_accuracy: 0.8348, prior_entropy: 0.9509, recall: 0.8348, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.735, scimark_benchmark: 1342.6911, usercpu_time_millis: 130, usercpu_time_millis_training: 130,

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