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: 0.8384, 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: 1336.8944,
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: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8416, kappa: 0.6586, kb_relative_information_score: 189.1607, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8413, predictive_accuracy: 0.8424, prior_entropy: 0.9509, recall: 0.8424, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7412, scimark_benchmark: 1336.8944, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 140.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8372, kappa: 0.6512, kb_relative_information_score: 191.2266, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8375, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7453, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7554, kappa: 0.4752, kb_relative_information_score: 170.3915, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7554, predictive_accuracy: 0.7554, prior_entropy: 0.9509, recall: 0.7554, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0001, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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: 0.8209, 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: 0.7675, 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: 0.8443, 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: 0.7675, 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: 473.1656, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
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: 0.8278, 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: 0.7686, 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: 0.8384, 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: 1230.3004,
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: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8054, kappa: 0.5852, kb_relative_information_score: 192.8795, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8073, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8477, scimark_benchmark: 1230.3004,
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: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, 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: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 906.0979,
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: 0.8727, 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: 0.6756, 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: 931.771, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
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: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 941.6675,
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: 941.6675,
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: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.8631, 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: 0.8688, 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: 0.6756, 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: 0.8631, 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: 974.2014,
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: 0.9049, 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: 943.1009, usercpu_time_millis: 410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, 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: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 608.4057, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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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: 946.9304, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8223, kappa: 0.6169, kb_relative_information_score: 192.7809, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.822, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7623, scimark_benchmark: 879.4299, usercpu_time_millis: 3630, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3560,
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: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 935.627, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
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: 942.3809, usercpu_time_millis: 430, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, 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: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 933.4598, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1322.0065, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
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: 1332.1612,
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: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, 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: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 1339.4412,
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: 1362.9924,
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: 1346.2927,
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: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8223, kappa: 0.6169, kb_relative_information_score: 192.781, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.822, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7623, scimark_benchmark: 1278.9821, usercpu_time_millis: 2560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2510,
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: 1346.2927, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
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: 1333.202,
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: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, 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: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, 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: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 1310.3168,
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: 1337.9552, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8054, kappa: 0.5852, kb_relative_information_score: 192.8795, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8073, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8477, scimark_benchmark: 1319.4538,
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: 1324.7884,

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