Task
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: 0.8235, 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: 0.8728, f_measure: 0.8505, kappa: 0.6752, kb_relative_information_score: 196.861, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8533, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8057, kappa: 0.5864, kb_relative_information_score: 166.3306, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8082, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8113,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7514, kappa: 0.4699, kb_relative_information_score: 167.9307, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7535, predictive_accuracy: 0.75, prior_entropy: 0.9509, recall: 0.75, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 212.7823, mean_absolute_error: 0.1936, 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: 0.4153, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.8066,
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: 0.8748, 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: 0.8629, 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: 0.8467, 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: 0.8845, 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: 0.8547, 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: 0.8631, f_measure: 0.8281, kappa: 0.6298, kb_relative_information_score: 213.0295, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8277, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8423, kappa: 0.6577, kb_relative_information_score: 193.8946, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8445, predictive_accuracy: 0.8451, prior_entropy: 0.9509, recall: 0.8451, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7959, kappa: 0.5544, kb_relative_information_score: 113.0846, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8075, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.8024,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8394, kappa: 0.6512, kb_relative_information_score: 208.5147, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8419, predictive_accuracy: 0.8424, prior_entropy: 0.9509, recall: 0.8424, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8175, kappa: 0.6075, kb_relative_information_score: 160.8711, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8172, predictive_accuracy: 0.8179, prior_entropy: 0.9509, recall: 0.8179, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8352, kappa: 0.6436, kb_relative_information_score: 186.1326, mean_absolute_error: 0.2351, 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: 0.5044, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7593,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7716, kappa: 0.5182, kb_relative_information_score: 179.8029, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7783, predictive_accuracy: 0.769, prior_entropy: 0.9509, recall: 0.769, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8786,
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: 0.7963, 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: 0.8622, 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: 0.9049, 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: 0.774, 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: 0.794, 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: 0.8468, 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: 0.813, 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: 0.837, 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: 0.8384, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8008, kappa: 0.571, kb_relative_information_score: 208.1896, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8003, predictive_accuracy: 0.8016, prior_entropy: 0.9509, recall: 0.8016, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8918, scimark_benchmark: 1918.4916, usercpu_time_millis: 3906.25, usercpu_time_millis_training: 3906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.8327, kappa: 0.6382, kb_relative_information_score: 205.8347, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8327, predictive_accuracy: 0.8342, prior_entropy: 0.9509, recall: 0.8342, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7931, scimark_benchmark: 1931.8468, usercpu_time_millis: 2921.875, usercpu_time_millis_training: 2921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4875, kb_relative_information_score: 67.3595, mean_absolute_error: 0.3696, 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: 0.7928, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2594, scimark_benchmark: 1670.334, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
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: 1742.8208, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 15.625,
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: 0.8082, 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: 0.8601, f_measure: 0.8085, kappa: 0.5868, kb_relative_information_score: 210.2725, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8081, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8747, scimark_benchmark: 1416.417, usercpu_time_millis: 515.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
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: 0.8088, 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 - 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: 0.8159, f_measure: 0.8191, kappa: 0.6092, kb_relative_information_score: 199.5776, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8189, predictive_accuracy: 0.8207, prior_entropy: 0.9509, recall: 0.8207, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.805, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.8191, kappa: 0.6092, kb_relative_information_score: 169.0744, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8189, predictive_accuracy: 0.8207, prior_entropy: 0.9509, recall: 0.8207, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7728, scimark_benchmark: 1779.392,
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: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8476, kappa: 0.6724, kb_relative_information_score: 210.5131, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8474, predictive_accuracy: 0.8478, prior_entropy: 0.9509, recall: 0.8478, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6998, scimark_benchmark: 1732.2066, usercpu_time_millis: 202.8013, usercpu_time_millis_training: 202.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8372, kappa: 0.6512, kb_relative_information_score: 190.9601, mean_absolute_error: 0.2327, 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: 0.4991, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7459, scimark_benchmark: 1732.2066,
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: 1732.2066,
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: 1887.4343, usercpu_time_millis: 5413.2347, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 5397.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7688, kappa: 0.5118, kb_relative_information_score: 168.6939, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.775, predictive_accuracy: 0.7663, prior_entropy: 0.9509, recall: 0.7663, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9633, scimark_benchmark: 1887.4343, usercpu_time_millis: 452.4029, usercpu_time_millis_testing: 452.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8066, kappa: 0.5803, kb_relative_information_score: 159.9067, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8076, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7859, scimark_benchmark: 1850.8887,
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: 1850.8887,
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: 1850.8887, usercpu_time_millis: 218.4014, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 156.001,
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: 1851.1033, usercpu_time_millis: 296.4019, usercpu_time_millis_testing: 78.0005, usercpu_time_millis_training: 218.4014,
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: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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: 1851.1033,
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: 1838.8826,
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: 1838.8826,
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: 1838.8826,
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: 1838.8826,

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