OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8621, kappa: 0.6873, kb_relative_information_score: 7895.3044, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.862, predictive_accuracy: 0.8621, prior_entropy: 0.9135, recall: 0.8621, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6932, scimark_benchmark: 1845.3974, usercpu_time_millis: 799.517, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 798.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.862, kappa: 0.6871, kb_relative_information_score: 7895.6112, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.862, predictive_accuracy: 0.8621, prior_entropy: 0.9135, recall: 0.8621, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6932, scimark_benchmark: 1850.4662, usercpu_time_millis: 872.427, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 871.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.7389, kappa: 0.3927, kb_relative_information_score: 3307.8208, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7998, predictive_accuracy: 0.7732, prior_entropy: 0.9135, recall: 0.7732, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8586, scimark_benchmark: 1849.5529, usercpu_time_millis: 827.985, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 826.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8962, kappa: 0.7654, kb_relative_information_score: 10034.3643, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8966, predictive_accuracy: 0.896, prior_entropy: 0.9135, recall: 0.896, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.602, scimark_benchmark: 1853.9121, usercpu_time_millis: 858.577, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 857.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.6422, kappa: 0.1874, kb_relative_information_score: 2816.6333, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7566, predictive_accuracy: 0.7158, prior_entropy: 0.9135, recall: 0.7158, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8809, scimark_benchmark: 1853.0616, usercpu_time_millis: 969.06, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 967.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.7475, kappa: 0.4114, kb_relative_information_score: 3393.4435, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.799, predictive_accuracy: 0.7779, prior_entropy: 0.9135, recall: 0.7779, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8562, scimark_benchmark: 1855.2674, usercpu_time_millis: 955.074, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 953.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8126, kappa: 0.5625, kb_relative_information_score: 6438.338, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8319, predictive_accuracy: 0.8251, prior_entropy: 0.9135, recall: 0.8251, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7657, scimark_benchmark: 1739.7128, usercpu_time_millis: 940.333, usercpu_time_millis_testing: 7.629, usercpu_time_millis_training: 932.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.656, kb_relative_information_score: 6081.5461, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8425, prior_entropy: 0.9135, recall: 0.8425, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638, scimark_benchmark: 1852.9988, usercpu_time_millis: 914.057, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 912.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.6447, kappa: 0.1944, kb_relative_information_score: 2604.7567, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7726, predictive_accuracy: 0.7191, prior_entropy: 0.9135, recall: 0.7191, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.888, scimark_benchmark: 1854.2084, usercpu_time_millis: 964.451, usercpu_time_millis_testing: 1.223, usercpu_time_millis_training: 963.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9032, kappa: 0.781, kb_relative_information_score: 10289.3627, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9034, predictive_accuracy: 0.9031, prior_entropy: 0.9135, recall: 0.9031, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5839, scimark_benchmark: 1838.0313, usercpu_time_millis: 919.511, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 918.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8134, kappa: 0.5647, kb_relative_information_score: 6505.1395, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8292, predictive_accuracy: 0.8248, prior_entropy: 0.9135, recall: 0.8248, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7648, scimark_benchmark: 1857.1082, usercpu_time_millis: 933.093, usercpu_time_millis_testing: 6.989, usercpu_time_millis_training: 926.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8945, kappa: 0.76, kb_relative_information_score: 10102.0514, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8943, predictive_accuracy: 0.895, prior_entropy: 0.9135, recall: 0.895, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.6106, scimark_benchmark: 1853.9121, usercpu_time_millis: 917.571, usercpu_time_millis_testing: 2.366, usercpu_time_millis_training: 915.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8133, kappa: 0.565, kb_relative_information_score: 6549.0551, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8251, predictive_accuracy: 0.8234, prior_entropy: 0.9135, recall: 0.8234, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7667, scimark_benchmark: 1811.8043, usercpu_time_millis: 937.442, usercpu_time_millis_testing: 5.418, usercpu_time_millis_training: 932.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9, kappa: 0.7724, kb_relative_information_score: 9747.867, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8998, predictive_accuracy: 0.9004, prior_entropy: 0.9135, recall: 0.9004, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.6098, scimark_benchmark: 1857.5664, usercpu_time_millis: 981.65, usercpu_time_millis_testing: 1.519, usercpu_time_millis_training: 980.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8387, kappa: 0.6261, kb_relative_information_score: 7688.2785, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8439, predictive_accuracy: 0.8445, prior_entropy: 0.9135, recall: 0.8445, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.7254, scimark_benchmark: 1850.2875, usercpu_time_millis: 1011.688, usercpu_time_millis_testing: 4.71, usercpu_time_millis_training: 1006.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.845, kappa: 0.6562, kb_relative_information_score: 6081.5255, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8426, prior_entropy: 0.9135, recall: 0.8426, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638, scimark_benchmark: 1836.1908, usercpu_time_millis: 996.094, usercpu_time_millis_testing: 1.244, usercpu_time_millis_training: 994.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8061, kappa: 0.5468, kb_relative_information_score: 5963.0562, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8338, predictive_accuracy: 0.8215, prior_entropy: 0.9135, recall: 0.8215, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7827, scimark_benchmark: 1857.6392, usercpu_time_millis: 974.279, usercpu_time_millis_testing: 6.332, usercpu_time_millis_training: 967.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8144, kappa: 0.5698, kb_relative_information_score: 5374.609, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8184, predictive_accuracy: 0.8211, prior_entropy: 0.9135, recall: 0.8211, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7843, scimark_benchmark: 1847.8799, usercpu_time_millis: 1035.944, usercpu_time_millis_testing: 1.629, usercpu_time_millis_training: 1034.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8136, kappa: 0.5647, kb_relative_information_score: 6446.5829, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8335, predictive_accuracy: 0.8261, prior_entropy: 0.9135, recall: 0.8261, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7641, scimark_benchmark: 1856.6531, usercpu_time_millis: 1060.986, usercpu_time_millis_testing: 6.496, usercpu_time_millis_training: 1054.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8928, kappa: 0.7552, kb_relative_information_score: 9796.9154, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8927, predictive_accuracy: 0.8937, prior_entropy: 0.9135, recall: 0.8937, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.619, scimark_benchmark: 1855.6669, usercpu_time_millis: 1089.067, usercpu_time_millis_testing: 2.909, usercpu_time_millis_training: 1086.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.7376, kappa: 0.3897, kb_relative_information_score: 3319.6291, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7994, predictive_accuracy: 0.7724, prior_entropy: 0.9135, recall: 0.7724, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8569, scimark_benchmark: 1853.1673, usercpu_time_millis: 1070.9, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 1069.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.656, kb_relative_information_score: 6081.1228, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8425, prior_entropy: 0.9135, recall: 0.8425, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638, scimark_benchmark: 1850.2875, usercpu_time_millis: 1099.874, usercpu_time_millis_testing: 1.159, usercpu_time_millis_training: 1098.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8981, kappa: 0.7676, kb_relative_information_score: 9657.1521, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.898, predictive_accuracy: 0.8988, prior_entropy: 0.9135, recall: 0.8988, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6154, scimark_benchmark: 1857.7641, usercpu_time_millis: 1101.926, usercpu_time_millis_testing: 1.829, usercpu_time_millis_training: 1100.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.821, kappa: 0.5821, kb_relative_information_score: 6844.2042, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.841, predictive_accuracy: 0.8328, prior_entropy: 0.9135, recall: 0.8328, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7557, scimark_benchmark: 1858.6775, usercpu_time_millis: 1138.949, usercpu_time_millis_testing: 6.219, usercpu_time_millis_training: 1132.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8405, kappa: 0.6289, kb_relative_information_score: 7655.5668, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8511, predictive_accuracy: 0.848, prior_entropy: 0.9135, recall: 0.848, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.7236, scimark_benchmark: 1858.6775, usercpu_time_millis: 1184.533, usercpu_time_millis_testing: 6.14, usercpu_time_millis_training: 1178.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.819, kappa: 0.5774, kb_relative_information_score: 6537.3537, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8395, predictive_accuracy: 0.8311, prior_entropy: 0.9135, recall: 0.8311, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7625, scimark_benchmark: 1853.9121, usercpu_time_millis: 1185.69, usercpu_time_millis_testing: 6.613, usercpu_time_millis_training: 1179.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.6562, kb_relative_information_score: 6081.4267, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8426, prior_entropy: 0.9135, recall: 0.8426, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638, scimark_benchmark: 1843.1261, usercpu_time_millis: 1122.686, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 1121.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8062, kappa: 0.547, kb_relative_information_score: 5953.8849, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8341, predictive_accuracy: 0.8216, prior_entropy: 0.9135, recall: 0.8216, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7833, scimark_benchmark: 1854.4968, usercpu_time_millis: 1106.11, usercpu_time_millis_testing: 6.597, usercpu_time_millis_training: 1099.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8975, kappa: 0.7682, kb_relative_information_score: 10086.8742, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8978, predictive_accuracy: 0.8973, prior_entropy: 0.9135, recall: 0.8973, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5986, scimark_benchmark: 1861.7817, usercpu_time_millis: 1150.022, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 1149.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8179, kappa: 0.5753, kb_relative_information_score: 6732.7939, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.834, predictive_accuracy: 0.8289, prior_entropy: 0.9135, recall: 0.8289, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7562, scimark_benchmark: 1852.3877, usercpu_time_millis: 1203.367, usercpu_time_millis_testing: 7.3, usercpu_time_millis_training: 1196.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.807, kappa: 0.549, kb_relative_information_score: 6015.6772, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.834, predictive_accuracy: 0.8221, prior_entropy: 0.9135, recall: 0.8221, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7807, scimark_benchmark: 1853.9121, usercpu_time_millis: 1104.388, usercpu_time_millis_testing: 6.589, usercpu_time_millis_training: 1097.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.6302, kappa: 0.1563, kb_relative_information_score: 1293.4932, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7062, predictive_accuracy: 0.7022, prior_entropy: 0.9135, recall: 0.7022, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9618, scimark_benchmark: 1848.6971, usercpu_time_millis: 1122.699, usercpu_time_millis_testing: 2.164, usercpu_time_millis_training: 1120.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.6562, kb_relative_information_score: 6081.4812, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8426, prior_entropy: 0.9135, recall: 0.8426, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638, scimark_benchmark: 1731.6389, usercpu_time_millis: 1240.206, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 1238.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8176, kappa: 0.574, kb_relative_information_score: 6653.9968, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8393, predictive_accuracy: 0.8302, prior_entropy: 0.9135, recall: 0.8302, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7621, scimark_benchmark: 1855.4813, usercpu_time_millis: 1176.089, usercpu_time_millis_testing: 6.186, usercpu_time_millis_training: 1169.903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.6562, kb_relative_information_score: 6080.6609, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8426, prior_entropy: 0.9135, recall: 0.8426, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7638, scimark_benchmark: 1854.9533, usercpu_time_millis: 1904.192, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 1903.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8026, kappa: 0.5387, kb_relative_information_score: 6158.3835, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8333, predictive_accuracy: 0.8192, prior_entropy: 0.9135, recall: 0.8192, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7849, scimark_benchmark: 1851.9456, usercpu_time_millis: 1877.395, usercpu_time_millis_testing: 6.304, usercpu_time_millis_training: 1871.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8694, kappa: 0.6985, kb_relative_information_score: 8541.2664, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8729, predictive_accuracy: 0.873, prior_entropy: 0.9135, recall: 0.873, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6745, scimark_benchmark: 1829.217, usercpu_time_millis: 1878.173, usercpu_time_millis_testing: 5.868, usercpu_time_millis_training: 1872.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.903, kappa: 0.7806, kb_relative_information_score: 9070.8977, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9032, predictive_accuracy: 0.9029, prior_entropy: 0.9135, recall: 0.9029, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6309, scimark_benchmark: 1738.3274, usercpu_time_millis: 1901.427, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 1900.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.795, kappa: 0.5225, kb_relative_information_score: 4953.5635, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8042, predictive_accuracy: 0.8057, prior_entropy: 0.9135, recall: 0.8057, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.8004, scimark_benchmark: 1850.9765, usercpu_time_millis: 1853.822, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 1852.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9029, kappa: 0.7803, kb_relative_information_score: 9109.0613, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9031, predictive_accuracy: 0.9028, prior_entropy: 0.9135, recall: 0.9028, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6318, scimark_benchmark: 1855.4813, usercpu_time_millis: 1907.803, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 1906.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.906, kappa: 0.7873, kb_relative_information_score: 10268.7601, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9062, predictive_accuracy: 0.9059, prior_entropy: 0.9135, recall: 0.9059, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5819, scimark_benchmark: 1857.5664, usercpu_time_millis: 1934.103, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 1933.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8616, kappa: 0.6864, kb_relative_information_score: 7949.6886, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8616, predictive_accuracy: 0.8616, prior_entropy: 0.9135, recall: 0.8616, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6921, scimark_benchmark: 1842.2932, usercpu_time_millis: 1939.31, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 1938.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8451, kappa: 0.6562, kb_relative_information_score: 6082.0551, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638, scimark_benchmark: 1848.2722, usercpu_time_millis: 2066.28, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 2065.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9026, kappa: 0.7799, kb_relative_information_score: 8842.0221, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.903, predictive_accuracy: 0.9024, prior_entropy: 0.9135, recall: 0.9024, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6405, scimark_benchmark: 1859.1356, usercpu_time_millis: 2099.981, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 2099.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.906, kappa: 0.7873, kb_relative_information_score: 10156.0647, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9062, predictive_accuracy: 0.9059, prior_entropy: 0.9135, recall: 0.9059, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.5822, scimark_benchmark: 1846.3099, usercpu_time_millis: 2065.617, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 2064.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.6303, kappa: 0.1566, kb_relative_information_score: 1288.1062, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.707, predictive_accuracy: 0.7024, prior_entropy: 0.9135, recall: 0.7024, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9619, scimark_benchmark: 1857.2739, usercpu_time_millis: 2075.542, usercpu_time_millis_testing: 2.04, usercpu_time_millis_training: 2073.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.6303, kappa: 0.1566, kb_relative_information_score: 1288.0055, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.707, predictive_accuracy: 0.7024, prior_entropy: 0.9135, recall: 0.7024, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9619, scimark_benchmark: 1853.7898, usercpu_time_millis: 2104.585, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 2102.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.774, kappa: 0.4721, kb_relative_information_score: 4336.1524, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7915, predictive_accuracy: 0.7904, prior_entropy: 0.9135, recall: 0.7904, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.8253, scimark_benchmark: 1851.0822, usercpu_time_millis: 2136.906, usercpu_time_millis_testing: 1.516, usercpu_time_millis_training: 2135.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9004, kappa: 0.7727, kb_relative_information_score: 8481.0705, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9004, predictive_accuracy: 0.9012, prior_entropy: 0.9135, recall: 0.9012, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6615, scimark_benchmark: 1855.4813, usercpu_time_millis: 2277.802, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 2276.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.6354, kappa: 0.1767, kb_relative_information_score: 2720.0846, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7759, predictive_accuracy: 0.715, prior_entropy: 0.9135, recall: 0.715, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8825, scimark_benchmark: 1821.3585, usercpu_time_millis: 2231.398, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 2230.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8449, kappa: 0.6558, kb_relative_information_score: 6075.9479, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8514, predictive_accuracy: 0.8425, prior_entropy: 0.9135, recall: 0.8425, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7639, scimark_benchmark: 1844.6953, usercpu_time_millis: 2234.941, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 2233.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8447, kappa: 0.6554, kb_relative_information_score: 6082.2122, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8513, predictive_accuracy: 0.8422, prior_entropy: 0.9135, recall: 0.8422, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638, scimark_benchmark: 1728.8693, usercpu_time_millis: 2278.85, usercpu_time_millis_testing: 1.283, usercpu_time_millis_training: 2277.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8992, kappa: 0.7697, kb_relative_information_score: 8342.3538, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8992, predictive_accuracy: 0.9001, prior_entropy: 0.9135, recall: 0.9001, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6668, scimark_benchmark: 1857.5664, usercpu_time_millis: 2292.45, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 2291.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9013, kappa: 0.7748, kb_relative_information_score: 8424.4537, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9012, predictive_accuracy: 0.902, prior_entropy: 0.9135, recall: 0.902, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6635, scimark_benchmark: 1857.1082, usercpu_time_millis: 2294.887, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 2293.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.641, kappa: 0.1868, kb_relative_information_score: 1941.1402, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7698, predictive_accuracy: 0.717, prior_entropy: 0.9135, recall: 0.717, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9157, scimark_benchmark: 1854.2084, usercpu_time_millis: 2416.257, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 2415.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9032, kappa: 0.7814, kb_relative_information_score: 9157.5943, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9037, predictive_accuracy: 0.9029, prior_entropy: 0.9135, recall: 0.9029, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.622, scimark_benchmark: 1855.5541, usercpu_time_millis: 2393.931, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 2393.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8453, kappa: 0.6566, kb_relative_information_score: 6080.4034, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8517, predictive_accuracy: 0.8428, prior_entropy: 0.9135, recall: 0.8428, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638, scimark_benchmark: 1816.7102, usercpu_time_millis: 2393.042, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 2391.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8601, kappa: 0.6833, kb_relative_information_score: 7912.4205, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8603, predictive_accuracy: 0.86, prior_entropy: 0.9135, recall: 0.86, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6922, scimark_benchmark: 1851.0822, usercpu_time_millis: 2477.641, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 2476.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.846, kappa: 0.6581, kb_relative_information_score: 6083.9829, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8523, predictive_accuracy: 0.8436, prior_entropy: 0.9135, recall: 0.8436, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7637, scimark_benchmark: 1852.9259, usercpu_time_millis: 2600.035, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 2598.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.6457, kappa: 0.1966, kb_relative_information_score: 2505.6737, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7738, predictive_accuracy: 0.7197, prior_entropy: 0.9135, recall: 0.7197, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8919, scimark_benchmark: 1851.5045, usercpu_time_millis: 2636.503, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 2635.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8455, kappa: 0.6571, kb_relative_information_score: 6080.4117, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.852, predictive_accuracy: 0.843, prior_entropy: 0.9135, recall: 0.843, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7639, scimark_benchmark: 1832.5979, usercpu_time_millis: 2589.76, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 2588.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8447, kappa: 0.6555, kb_relative_information_score: 6081.8176, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8513, predictive_accuracy: 0.8423, prior_entropy: 0.9135, recall: 0.8423, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7637, scimark_benchmark: 1727.8489, usercpu_time_millis: 2646.569, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 2645.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8604, kappa: 0.6839, kb_relative_information_score: 7894.9691, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8605, predictive_accuracy: 0.8603, prior_entropy: 0.9135, recall: 0.8603, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6934, scimark_benchmark: 1848.985, usercpu_time_millis: 2656.503, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 2655.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8453, kappa: 0.6568, kb_relative_information_score: 6078.7199, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8519, predictive_accuracy: 0.8428, prior_entropy: 0.9135, recall: 0.8428, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7638, scimark_benchmark: 1853.3841, usercpu_time_millis: 2709.24, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 2708.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.6396, kappa: 0.1844, kb_relative_information_score: 2165.586, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7723, predictive_accuracy: 0.7166, prior_entropy: 0.9135, recall: 0.7166, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9057, scimark_benchmark: 1838.7269, usercpu_time_millis: 2612.414, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 2611.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6285, kappa: 0.1529, kb_relative_information_score: 1286.1402, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7052, predictive_accuracy: 0.7014, prior_entropy: 0.9135, recall: 0.7014, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9619, scimark_benchmark: 1854.7365, usercpu_time_millis: 2713.943, usercpu_time_millis_testing: 1.975, usercpu_time_millis_training: 2711.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8452, kappa: 0.6564, kb_relative_information_score: 6085.3331, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8517, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7637, scimark_benchmark: 1850.2875, usercpu_time_millis: 2679.246, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 2678.093,

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