OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 133465 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6608, kappa: 0.24, kb_relative_information_score: 77.2197, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6892, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9293, scimark_benchmark: 1753.3033, usercpu_time_millis: 0.912, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1757.4543, usercpu_time_millis: 2.636, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7647, kappa: 0.4725, kb_relative_information_score: 237.0067, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 1761.9125, usercpu_time_millis: 5.524, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 5.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1960.4596, usercpu_time_millis: 13.139, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 13.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7657, kappa: 0.4753, kb_relative_information_score: 247.8577, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8356, scimark_benchmark: 1945.0646, usercpu_time_millis: 6.254, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 6.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1757.3256, usercpu_time_millis: 13.286, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 13.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.6875, kappa: 0.3004, kb_relative_information_score: 101.1117, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.728, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9012, scimark_benchmark: 1752.3404, usercpu_time_millis: 6.38, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 6.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7213, kappa: 0.3818, kb_relative_information_score: 258.5956, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7197, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9245, scimark_benchmark: 1913.4245, usercpu_time_millis: 11.262, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 11.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7553, kappa: 0.4499, kb_relative_information_score: 207.9051, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8445, scimark_benchmark: 1750.3868, usercpu_time_millis: 5.946, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7473, kappa: 0.4307, kb_relative_information_score: 167.4088, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8624, scimark_benchmark: 1835.4129, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 7.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7547, kappa: 0.4547, kb_relative_information_score: 256.1634, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7534, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8416, scimark_benchmark: 1756.2894, usercpu_time_millis: 7.196, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 7.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.5582, kappa: 0.0679, kb_relative_information_score: 12.3364, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7016, predictive_accuracy: 0.6667, prior_entropy: 0.9335, recall: 0.6667, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9762, scimark_benchmark: 1736.4936, usercpu_time_millis: 4.464, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 4.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7467, kappa: 0.4299, kb_relative_information_score: 201.7416, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7539, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8557, scimark_benchmark: 1752.5312, usercpu_time_millis: 6.14, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.6536, kappa: 0.2277, kb_relative_information_score: 62.9691, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6944, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.448, root_relative_squared_error: 0.94, scimark_benchmark: 1754.6748, usercpu_time_millis: 4.81, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.6487, kappa: 0.2208, kb_relative_information_score: 60.2078, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7033, predictive_accuracy: 0.7005, prior_entropy: 0.9335, recall: 0.7005, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9406, scimark_benchmark: 1749.3291, usercpu_time_millis: 1.514, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7474, kappa: 0.4376, kb_relative_information_score: 256.9497, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7461, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.878, scimark_benchmark: 1751.3696, usercpu_time_millis: 1.053, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 252.9618, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8324, scimark_benchmark: 1753.3033, usercpu_time_millis: 3.33, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 3.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1754.1079, usercpu_time_millis: 1.852, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7477, kappa: 0.4386, kb_relative_information_score: 245.7083, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7464, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8519, scimark_benchmark: 1752.841, usercpu_time_millis: 14.76, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 14.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7592, kappa: 0.4586, kb_relative_information_score: 200.8678, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8496, scimark_benchmark: 1834.6347, usercpu_time_millis: 2.339, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7549, kappa: 0.4494, kb_relative_information_score: 216.8531, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8482, scimark_benchmark: 1751.6968, usercpu_time_millis: 2.537, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.725, kappa: 0.3804, kb_relative_information_score: 130.3991, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8862, scimark_benchmark: 1754.6748, usercpu_time_millis: 4.912, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.5152, kappa: -0.0003, kb_relative_information_score: -19.1042, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5401, predictive_accuracy: 0.6497, prior_entropy: 0.9335, recall: 0.6497, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9969, scimark_benchmark: 1734.6299, usercpu_time_millis: 3.019, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.1354, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1755.0172, usercpu_time_millis: 2.931, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6695, kappa: 0.2626, kb_relative_information_score: 75.1867, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7151, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9291, scimark_benchmark: 1751.3544, usercpu_time_millis: 2.811, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 2.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7563, kappa: 0.4534, kb_relative_information_score: 223.1404, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1876.8275, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1922.9559, usercpu_time_millis: 2.069, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1754.1079, usercpu_time_millis: 10.262, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 10.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7642, kappa: 0.4702, kb_relative_information_score: 213.879, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7688, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8396, scimark_benchmark: 1909.4367, usercpu_time_millis: 3.839, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7571, kappa: 0.4549, kb_relative_information_score: 231.1715, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 1887.3191, usercpu_time_millis: 0.691, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6361, kappa: 0.1965, kb_relative_information_score: 46.7791, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6966, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9518, scimark_benchmark: 1749.9829, usercpu_time_millis: 6.73, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7659, kappa: 0.475, kb_relative_information_score: 246.925, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.832, scimark_benchmark: 1749.3291, usercpu_time_millis: 4.114, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 4.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.5982, kappa: 0.1352, kb_relative_information_score: 59.0974, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7168, predictive_accuracy: 0.6836, prior_entropy: 0.9335, recall: 0.6836, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9419, scimark_benchmark: 1747.5683, usercpu_time_millis: 5.825, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.82,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7433, kappa: 0.4282, kb_relative_information_score: 266.1641, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8514, scimark_benchmark: 1725.8506, usercpu_time_millis: 0.695, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.687,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7615, kappa: 0.4641, kb_relative_information_score: 215.3527, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7659, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8451, scimark_benchmark: 1872.0299, usercpu_time_millis: 4.363, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7587, kappa: 0.4584, kb_relative_information_score: 221.2064, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8435, scimark_benchmark: 1750.3868, usercpu_time_millis: 8.174, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 8.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7541, kappa: 0.4463, kb_relative_information_score: 177.9564, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7635, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8521, scimark_benchmark: 1753.3672, usercpu_time_millis: 10.017, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 9.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7688, kappa: 0.4808, kb_relative_information_score: 235.1589, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7729, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, scimark_benchmark: 1758.8259, usercpu_time_millis: 0.891, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7506, kappa: 0.4454, kb_relative_information_score: 248.4867, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7493, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8705, scimark_benchmark: 1750.7876, usercpu_time_millis: 3.006, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 2.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7721, kappa: 0.4887, kb_relative_information_score: 244.0125, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7755, predictive_accuracy: 0.7799, prior_entropy: 0.9335, recall: 0.7799, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1749.9246, usercpu_time_millis: 6.757, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7571, kappa: 0.4549, kb_relative_information_score: 231.5431, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8407, scimark_benchmark: 1751.3544, usercpu_time_millis: 8.343, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 8.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7394, kappa: 0.4128, kb_relative_information_score: 144.8974, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8788, scimark_benchmark: 1752.1591, usercpu_time_millis: 2.34, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7043, kappa: 0.3348, kb_relative_information_score: 106.7691, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7303, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9064, scimark_benchmark: 1754.2741, usercpu_time_millis: 6.906, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7062, kappa: 0.3387, kb_relative_information_score: 114.1846, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7285, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9008, scimark_benchmark: 1755.4795, usercpu_time_millis: 5.183, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7666, kappa: 0.4769, kb_relative_information_score: 242.5295, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8393, scimark_benchmark: 1750.8922, usercpu_time_millis: 5.909, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, f_measure: 0.5547, kappa: 0.0606, kb_relative_information_score: 1.3045, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6849, predictive_accuracy: 0.6641, prior_entropy: 0.9335, recall: 0.6641, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9825, scimark_benchmark: 1747.4929, usercpu_time_millis: 2.136, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1754.1079, usercpu_time_millis: 13.784, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 13.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.569, kappa: 0.0832, kb_relative_information_score: 8.7674, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6899, predictive_accuracy: 0.6693, prior_entropy: 0.9335, recall: 0.6693, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9772, scimark_benchmark: 1755.9441, usercpu_time_millis: 0.889, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.745, kappa: 0.4311, kb_relative_information_score: 225.2704, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.744, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8483, scimark_benchmark: 1754.1079, usercpu_time_millis: 1.606, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 1.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1757.0536, usercpu_time_millis: 7.408, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 7.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1878.3291, usercpu_time_millis: 3.445, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 236.2636, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8546, scimark_benchmark: 1760.5046, usercpu_time_millis: 9.417, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 9.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7417, kappa: 0.428, kb_relative_information_score: 248.3808, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7405, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8864, scimark_benchmark: 1744.9923, usercpu_time_millis: 3.269, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 3.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7568, kappa: 0.4587, kb_relative_information_score: 254.3576, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8479, scimark_benchmark: 1752.7462, usercpu_time_millis: 15.983, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 15.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5134, kb_relative_information_score: 0.5748, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001, scimark_benchmark: 1835.3457, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.5547, kappa: 0.0606, kb_relative_information_score: 2.4287, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6849, predictive_accuracy: 0.6641, prior_entropy: 0.9335, recall: 0.6641, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9817, scimark_benchmark: 1750.8922, usercpu_time_millis: 1.022, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.1359, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1753.3033, usercpu_time_millis: 2.743, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7506, kappa: 0.4392, kb_relative_information_score: 191.1538, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7563, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8504, scimark_benchmark: 1750.8922, usercpu_time_millis: 3.829, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 3.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.5959, kappa: 0.1341, kb_relative_information_score: 58.6974, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7344, predictive_accuracy: 0.6849, prior_entropy: 0.9335, recall: 0.6849, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9349, scimark_benchmark: 1751.3544, usercpu_time_millis: 7.839, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 7.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1897.0421, usercpu_time_millis: 1.974, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1756.754, usercpu_time_millis: 8.723, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 8.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7343, kappa: 0.4014, kb_relative_information_score: 169.9291, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7474, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8738, scimark_benchmark: 1749.5206, usercpu_time_millis: 3.36, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 3.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.6395, kappa: 0.2014, kb_relative_information_score: 50.1334, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6929, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9494, scimark_benchmark: 1750.4915, usercpu_time_millis: 5.628, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 254.657, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1883.0794, usercpu_time_millis: 2.964, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6303, kappa: 0.1881, kb_relative_information_score: 41.9473, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7049, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9548, scimark_benchmark: 1752.1591, usercpu_time_millis: 6.646, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 252.1154, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, scimark_benchmark: 1873.4078, usercpu_time_millis: 5.47, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 5.46,

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