OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 27 Supervised Classification colic 754 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 208.2546, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7582, 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: 0.8773, f_measure: 0.8511, kappa: 0.6772, kb_relative_information_score: 196.5298, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8525, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7212, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7992, kappa: 0.5698, kb_relative_information_score: 180.0088, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7996, predictive_accuracy: 0.7989, prior_entropy: 0.9509, recall: 0.7989, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.8116, scimark_benchmark: 1254.1389, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.9933, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7444, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8028, kappa: 0.58, kb_relative_information_score: 206.5299, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.805, predictive_accuracy: 0.8016, prior_entropy: 0.9509, recall: 0.8016, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8193, kappa: 0.6157, kb_relative_information_score: 219.7843, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8221, predictive_accuracy: 0.8179, prior_entropy: 0.9509, recall: 0.8179, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7941, kappa: 0.5595, kb_relative_information_score: 196.3904, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7949, predictive_accuracy: 0.7935, prior_entropy: 0.9509, recall: 0.7935, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7979, kappa: 0.5711, kb_relative_information_score: 193.1219, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8016, predictive_accuracy: 0.7962, prior_entropy: 0.9509, recall: 0.7962, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.8372, kappa: 0.6468, kb_relative_information_score: 188.1233, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8386, predictive_accuracy: 0.8397, prior_entropy: 0.9509, recall: 0.8397, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.8162, kappa: 0.6026, kb_relative_information_score: 219.7843, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.816, predictive_accuracy: 0.8179, prior_entropy: 0.9509, recall: 0.8179, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7912, kappa: 0.553, kb_relative_information_score: 181.906, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7918, predictive_accuracy: 0.7908, prior_entropy: 0.9509, recall: 0.7908, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8152, kappa: 0.6034, kb_relative_information_score: 205.5367, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8152, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.8171, kappa: 0.6129, kb_relative_information_score: 151.6321, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.822, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7919, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8307, kappa: 0.6351, kb_relative_information_score: 192.596, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8303, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7529, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8265, kappa: 0.624, kb_relative_information_score: 155.3581, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8272, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7534, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.773, kappa: 0.516, kb_relative_information_score: 171.6681, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.775, predictive_accuracy: 0.7717, prior_entropy: 0.9509, recall: 0.7717, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8798, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8072, kappa: 0.5866, kb_relative_information_score: 205.3343, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8074, predictive_accuracy: 0.8071, prior_entropy: 0.9509, recall: 0.8071, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8726, scimark_benchmark: 475.6047, usercpu_time_millis: 22320, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 22280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7778, kappa: 0.5247, kb_relative_information_score: 185.7364, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7787, predictive_accuracy: 0.7772, prior_entropy: 0.9509, recall: 0.7772, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.975, scimark_benchmark: 1239.0933, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7798, kappa: 0.5359, kb_relative_information_score: 187.3996, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.787, predictive_accuracy: 0.7772, prior_entropy: 0.9509, recall: 0.7772, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9621, scimark_benchmark: 1247.4459, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8468, kappa: 0.6694, kb_relative_information_score: 198.959, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8466, predictive_accuracy: 0.8478, prior_entropy: 0.9509, recall: 0.8478, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7464, scimark_benchmark: 1196.5879, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.792, kappa: 0.557, kb_relative_information_score: 189.2405, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7943, predictive_accuracy: 0.7908, prior_entropy: 0.9509, recall: 0.7908, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8698, scimark_benchmark: 1237.37, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8202, kappa: 0.6097, kb_relative_information_score: 189.5144, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8219, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8198, kappa: 0.6084, kb_relative_information_score: 190.8145, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8222, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.78, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7843, kappa: 0.5418, kb_relative_information_score: 165.0473, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7877, predictive_accuracy: 0.7826, prior_entropy: 0.9509, recall: 0.7826, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.8232, kappa: 0.6144, kb_relative_information_score: 181.1756, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.831, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7561, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8315, kappa: 0.6384, kb_relative_information_score: 208.4091, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8315, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8049, kappa: 0.5827, kb_relative_information_score: 170.1472, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8057, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8194, kappa: 0.6072, kb_relative_information_score: 185.3072, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8225, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7497, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.799, kappa: 0.5613, kb_relative_information_score: 189.5719, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.81, predictive_accuracy: 0.8071, prior_entropy: 0.9509, recall: 0.8071, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8598, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8172, kappa: 0.6063, kb_relative_information_score: 178.9263, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8168, predictive_accuracy: 0.8179, prior_entropy: 0.9509, recall: 0.8179, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7874, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8249, kappa: 0.6222, kb_relative_information_score: 173.8153, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8246, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4875, kb_relative_information_score: -0.1525, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4875, kb_relative_information_score: -0.1525, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7153, kappa: 0.3782, kb_relative_information_score: 149.0945, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7271, predictive_accuracy: 0.731, prior_entropy: 0.9509, recall: 0.731, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0746, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 208.2546, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7582, scimark_benchmark: 927.2917, usercpu_time_millis: 1170, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 931.771, usercpu_time_millis: 410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.8494, kappa: 0.6748, kb_relative_information_score: 197.0585, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8494, predictive_accuracy: 0.8505, prior_entropy: 0.9509, recall: 0.8505, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7561, scimark_benchmark: 967.6395, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8252, kappa: 0.6233, kb_relative_information_score: 226.4114, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8248, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.417, root_relative_squared_error: 0.864, scimark_benchmark: 956.9393, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.8129, kappa: 0.5994, kb_relative_information_score: 215.3662, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8134, predictive_accuracy: 0.8125, prior_entropy: 0.9509, recall: 0.8125, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8971, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8292, kappa: 0.6343, kb_relative_information_score: 185.4412, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8297, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7751, kappa: 0.5096, kb_relative_information_score: 174.59, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.781, predictive_accuracy: 0.7826, prior_entropy: 0.9509, recall: 0.7826, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8771, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.823, kappa: 0.6192, kb_relative_information_score: 224.2024, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8226, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8707, scimark_benchmark: 1377.4309, usercpu_time_millis: 1421.875, usercpu_time_millis_training: 1421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7815, kappa: 0.5354, kb_relative_information_score: 188.8575, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7845, predictive_accuracy: 0.7799, prior_entropy: 0.9509, recall: 0.7799, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.972, scimark_benchmark: 1742.8208, usercpu_time_millis: 1515.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8252, kappa: 0.6233, kb_relative_information_score: 226.4114, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8248, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.417, root_relative_squared_error: 0.864, scimark_benchmark: 1175.3081, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8089, kappa: 0.588, kb_relative_information_score: 182.5419, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8084, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7878, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7778, kappa: 0.5247, kb_relative_information_score: 185.7364, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7787, predictive_accuracy: 0.7772, prior_entropy: 0.9509, recall: 0.7772, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.975, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7953, kappa: 0.566, kb_relative_information_score: 189.0227, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7995, predictive_accuracy: 0.7935, prior_entropy: 0.9509, recall: 0.7935, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8635, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8252, kappa: 0.6233, kb_relative_information_score: 201.8023, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8248, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8005, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8095, kappa: 0.5905, kb_relative_information_score: 213.1571, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8092, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9036, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8372, kappa: 0.6468, kb_relative_information_score: 190.4372, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8386, predictive_accuracy: 0.8397, prior_entropy: 0.9509, recall: 0.8397, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7599, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8349, kappa: 0.6425, kb_relative_information_score: 187.1608, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8355, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7752, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7992, kappa: 0.5698, kb_relative_information_score: 180.0088, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7996, predictive_accuracy: 0.7989, prior_entropy: 0.9509, recall: 0.7989, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.8116, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8095, kappa: 0.5905, kb_relative_information_score: 213.1571, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8092, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9036, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7953, kappa: 0.566, kb_relative_information_score: 189.0227, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7995, predictive_accuracy: 0.7935, prior_entropy: 0.9509, recall: 0.7935, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8635, scimark_benchmark: 1324.623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.9933, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7444, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.9933, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7444, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7992, kappa: 0.5698, kb_relative_information_score: 180.0088, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7996, predictive_accuracy: 0.7989, prior_entropy: 0.9509, recall: 0.7989, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.8116, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8313, kappa: 0.6373, kb_relative_information_score: 175.9976, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.831, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7557, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8195, kappa: 0.6104, kb_relative_information_score: 182.3335, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8191, predictive_accuracy: 0.8207, prior_entropy: 0.9509, recall: 0.8207, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7886, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7677, kappa: 0.499, kb_relative_information_score: 136.0989, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7669, predictive_accuracy: 0.769, prior_entropy: 0.9509, recall: 0.769, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7778, kappa: 0.5247, kb_relative_information_score: 185.7364, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7787, predictive_accuracy: 0.7772, prior_entropy: 0.9509, recall: 0.7772, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.975, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,

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