OpenML
Supervised Classification on glass

Supervised Classification on glass

Task 3868 Supervised Classification glass 570 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7714, kappa: 0.5016, kb_relative_information_score: 78.6639, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7717, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8832, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.52, kappa: -0.0243, kb_relative_information_score: -0.462, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5142, predictive_accuracy: 0.6168, prior_entropy: 0.9397, recall: 0.6168, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0287, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.5692, kappa: 0.0398, kb_relative_information_score: 5.4144, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5613, predictive_accuracy: 0.5888, prior_entropy: 0.9397, recall: 0.5888, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0784, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5932, kappa: 0.273, kb_relative_information_score: 18.3845, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7344, predictive_accuracy: 0.5981, prior_entropy: 0.9397, recall: 0.5981, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.1306, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.5692, kappa: 0.0398, kb_relative_information_score: 5.4144, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5613, predictive_accuracy: 0.5888, prior_entropy: 0.9397, recall: 0.5888, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0784, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.7188, kappa: 0.3778, kb_relative_information_score: 51.2025, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7174, predictive_accuracy: 0.7243, prior_entropy: 0.9397, recall: 0.7243, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9655, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7994, kappa: 0.5558, kb_relative_information_score: 103.0309, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8007, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8707, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.698, kappa: 0.3353, kb_relative_information_score: 63.8475, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6961, predictive_accuracy: 0.7009, prior_entropy: 0.9397, recall: 0.7009, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9187, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.7136, kappa: 0.3721, kb_relative_information_score: 75.3312, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7126, predictive_accuracy: 0.715, prior_entropy: 0.9397, recall: 0.715, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.101, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7981, kappa: 0.5574, kb_relative_information_score: 115.539, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7975, predictive_accuracy: 0.7991, prior_entropy: 0.9397, recall: 0.7991, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9319, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.5692, kappa: 0.0398, kb_relative_information_score: 5.4144, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5613, predictive_accuracy: 0.5888, prior_entropy: 0.9397, recall: 0.5888, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0784, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5932, kappa: 0.273, kb_relative_information_score: 18.3845, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7344, predictive_accuracy: 0.5981, prior_entropy: 0.9397, recall: 0.5981, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.1306, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8295, kappa: 0.6238, kb_relative_information_score: 132.3693, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8297, predictive_accuracy: 0.8318, prior_entropy: 0.9397, recall: 0.8318, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8571, usercpu_time_millis: 366.326, usercpu_time_millis_testing: 4.395, usercpu_time_millis_training: 361.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.6986, kappa: 0.3286, kb_relative_information_score: 80.3827, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7209, predictive_accuracy: 0.7243, prior_entropy: 0.9397, recall: 0.7243, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.0972, usercpu_time_millis: 15.471, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 15.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8213, kappa: 0.6077, kb_relative_information_score: 127.8487, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8208, predictive_accuracy: 0.8224, prior_entropy: 0.9397, recall: 0.8224, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8805, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7398, kappa: 0.4198, kb_relative_information_score: 93.9444, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7473, predictive_accuracy: 0.7523, prior_entropy: 0.9397, recall: 0.7523, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0399, usercpu_time_millis: 49.863, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 49.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7384, kappa: 0.4181, kb_relative_information_score: 91.6841, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.741, predictive_accuracy: 0.7477, prior_entropy: 0.9397, recall: 0.7477, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0497, usercpu_time_millis: 5.79, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 5.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6426, kappa: 0.2091, kb_relative_information_score: 44.218, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6391, predictive_accuracy: 0.6495, prior_entropy: 0.9397, recall: 0.6495, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.592, root_relative_squared_error: 1.2371, usercpu_time_millis: 12.949, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 12.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.7655, kappa: 0.4801, kb_relative_information_score: 102.9855, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7661, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9999, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, usercpu_time_millis: 0.304, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.5608, kappa: 0.0575, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.601, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.7793, kappa: 0.5104, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7811, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.8273, kappa: 0.6169, kb_relative_information_score: 132.3693, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8309, predictive_accuracy: 0.8318, prior_entropy: 0.9397, recall: 0.8318, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8571, usercpu_time_millis: 1.597, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.8332, kappa: 0.6309, kb_relative_information_score: 134.6296, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8349, predictive_accuracy: 0.8364, prior_entropy: 0.9397, recall: 0.8364, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8451, usercpu_time_millis: 10.116, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 8.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.6501, kappa: 0.22, kb_relative_information_score: 57.7798, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.659, predictive_accuracy: 0.6776, prior_entropy: 0.9397, recall: 0.6776, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5678, root_relative_squared_error: 1.1865, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8221, kappa: 0.605, kb_relative_information_score: 130.109, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8264, predictive_accuracy: 0.8271, prior_entropy: 0.9397, recall: 0.8271, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8689, usercpu_time_millis: 2.279, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 2.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6196, kappa: 0.2822, kb_relative_information_score: 28.396, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7121, predictive_accuracy: 0.6168, prior_entropy: 0.9397, recall: 0.6168, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.619, root_relative_squared_error: 1.2935, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.6315, kappa: 0.1813, kb_relative_information_score: 53.2592, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.646, predictive_accuracy: 0.6682, prior_entropy: 0.9397, recall: 0.6682, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.576, root_relative_squared_error: 1.2036, usercpu_time_millis: 3.322, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 3.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, f_measure: 0.5484, kappa: 0.0551, kb_relative_information_score: 46.4783, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6446, predictive_accuracy: 0.6542, prior_entropy: 0.9397, recall: 0.6542, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.588, root_relative_squared_error: 1.2288, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.7565, kappa: 0.4578, kb_relative_information_score: 100.7253, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.762, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.0101, usercpu_time_millis: 1.709, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 1.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6927, kappa: 0.3229, kb_relative_information_score: 66.8209, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6906, predictive_accuracy: 0.6963, prior_entropy: 0.9397, recall: 0.6963, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.1516, usercpu_time_millis: 1.319, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.5389, kappa: 0.0388, kb_relative_information_score: 44.218, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6235, predictive_accuracy: 0.6495, prior_entropy: 0.9397, recall: 0.6495, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.592, root_relative_squared_error: 1.2371, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.5344, kappa: -0.0112, kb_relative_information_score: 26.1357, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5327, predictive_accuracy: 0.6122, prior_entropy: 0.9397, recall: 0.6122, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.3014, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.087,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6592, kappa: 0.2399, kb_relative_information_score: 57.7798, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6609, predictive_accuracy: 0.6776, prior_entropy: 0.9397, recall: 0.6776, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5678, root_relative_squared_error: 1.1865, usercpu_time_millis: 0.605, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.5973, kappa: 0.2832, kb_relative_information_score: 21.6151, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7442, predictive_accuracy: 0.6028, prior_entropy: 0.9397, recall: 0.6028, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6302, root_relative_squared_error: 1.3169, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7191, kappa: 0.375, kb_relative_information_score: 82.6429, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7205, predictive_accuracy: 0.729, prior_entropy: 0.9397, recall: 0.729, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0879, usercpu_time_millis: 0.889, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.815,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.552, kappa: 0.0529, kb_relative_information_score: 44.218, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6162, predictive_accuracy: 0.6495, prior_entropy: 0.9397, recall: 0.6495, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.592, root_relative_squared_error: 1.2371, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, f_measure: 0.5484, kappa: 0.0551, kb_relative_information_score: 46.4783, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6446, predictive_accuracy: 0.6542, prior_entropy: 0.9397, recall: 0.6542, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.588, root_relative_squared_error: 1.2288, usercpu_time_millis: 0.043, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.6437, kappa: 0.2061, kb_relative_information_score: 55.5195, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6528, predictive_accuracy: 0.6729, prior_entropy: 0.9397, recall: 0.6729, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5719, root_relative_squared_error: 1.1951, usercpu_time_millis: 0.154, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7821, kappa: 0.5193, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7815, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.01,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7726, kappa: 0.4984, kb_relative_information_score: 105.2458, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7719, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9896, usercpu_time_millis: 1.78, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7594, kappa: 0.4636, kb_relative_information_score: 102.9855, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7687, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9999, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.243,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7366, kappa: 0.4124, kb_relative_information_score: 93.9444, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7494, predictive_accuracy: 0.7523, prior_entropy: 0.9397, recall: 0.7523, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0399, usercpu_time_millis: 10.83, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 9.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.8212, kappa: 0.6026, kb_relative_information_score: 130.109, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8275, predictive_accuracy: 0.8271, prior_entropy: 0.9397, recall: 0.8271, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8689, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.97,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7769, kappa: 0.5074, kb_relative_information_score: 88.7708, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7765, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8509, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8149, kappa: 0.5912, kb_relative_information_score: 76.4008, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8152, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.8049, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7371, kappa: 0.4145, kb_relative_information_score: 50.1663, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7412, predictive_accuracy: 0.7477, prior_entropy: 0.9397, recall: 0.7477, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8752, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7284, kappa: 0.3989, kb_relative_information_score: 57.0192, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7272, predictive_accuracy: 0.7336, prior_entropy: 0.9397, recall: 0.7336, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9352, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7735, kappa: 0.5015, kb_relative_information_score: 86.049, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7725, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8822, scimark_benchmark: 938.5498, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7565, kappa: 0.4578, kb_relative_information_score: 63.3503, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.762, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8943, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7409, kappa: 0.4305, kb_relative_information_score: 59.1476, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7397, predictive_accuracy: 0.743, prior_entropy: 0.9397, recall: 0.743, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8839, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 926.5462, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8149, kappa: 0.5912, kb_relative_information_score: 76.4008, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8152, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.8049, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7371, kappa: 0.4145, kb_relative_information_score: 50.1663, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7412, predictive_accuracy: 0.7477, prior_entropy: 0.9397, recall: 0.7477, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8752, scimark_benchmark: 941.7976, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7735, kappa: 0.5015, kb_relative_information_score: 86.049, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7725, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8822, scimark_benchmark: 730.6551, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161, scimark_benchmark: 938.988, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.7833, kappa: 0.5168, kb_relative_information_score: 85.5913, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7964, predictive_accuracy: 0.7944, prior_entropy: 0.9397, recall: 0.7944, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7513, scimark_benchmark: 608.4057, usercpu_time_millis: 1330, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8173, kappa: 0.5924, kb_relative_information_score: 84.7204, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8356, predictive_accuracy: 0.8271, prior_entropy: 0.9397, recall: 0.8271, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7493, scimark_benchmark: 941.3057, usercpu_time_millis: 390, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7944, kappa: 0.5417, kb_relative_information_score: 83.747, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8053, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7591, scimark_benchmark: 930.2337, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7976, kappa: 0.5502, kb_relative_information_score: 83.7217, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8016, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7609, scimark_benchmark: 934.6244, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,

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