OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7666, kappa: 0.5293, kb_relative_information_score: 1223.0114, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.816, scimark_benchmark: 1857.1082, usercpu_time_millis: 216.913, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 216.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7452, kappa: 0.4865, kb_relative_information_score: 1038.8401, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7451, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 1765.5249, usercpu_time_millis: 242.98, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 242.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1763.2533, usercpu_time_millis: 239.963, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 239.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7554, kappa: 0.5066, kb_relative_information_score: 1570.768, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.842, scimark_benchmark: 1831.7924, usercpu_time_millis: 83.557, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 83.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7783, kappa: 0.5528, kb_relative_information_score: 1422.1788, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7975, scimark_benchmark: 1728.0111, usercpu_time_millis: 278.13, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 277.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7446, kappa: 0.4861, kb_relative_information_score: 223.093, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.745, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9579, scimark_benchmark: 1849.7595, usercpu_time_millis: 311.475, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 310.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7418, kappa: 0.4801, kb_relative_information_score: 574.2475, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7419, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.902, scimark_benchmark: 1858.1494, usercpu_time_millis: 90.795, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 90.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7576, kappa: 0.5108, kb_relative_information_score: 1157.9152, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8291, scimark_benchmark: 1766.2824, usercpu_time_millis: 270.141, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 269.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7541, kappa: 0.5045, kb_relative_information_score: 1114.1039, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1853.454, usercpu_time_millis: 174.984, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 174.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7677, kappa: 0.5313, kb_relative_information_score: 1518.7123, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8064, scimark_benchmark: 1853.454, usercpu_time_millis: 258.643, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 258.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7688, kappa: 0.5336, kb_relative_information_score: 1396.2673, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8122, scimark_benchmark: 1731.5003, usercpu_time_millis: 61.469, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 61.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7721, kappa: 0.5403, kb_relative_information_score: 1455.4127, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8023, scimark_benchmark: 1850.2875, usercpu_time_millis: 75.681, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 75.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -7.8164, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001, scimark_benchmark: 1745.2823, usercpu_time_millis: 172.709, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 172.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7761, kappa: 0.5485, kb_relative_information_score: 1448.4448, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7763, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7999, scimark_benchmark: 1857.5664, usercpu_time_millis: 153.667, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 153.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7588, kappa: 0.5133, kb_relative_information_score: 1147.1291, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.827, scimark_benchmark: 1850.8185, usercpu_time_millis: 122.115, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 121.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7474, kappa: 0.491, kb_relative_information_score: 1652.3038, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7474, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8914, scimark_benchmark: 1853.3841, usercpu_time_millis: 252.035, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 251.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7352, kappa: 0.4662, kb_relative_information_score: 96.076, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7399, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9798, scimark_benchmark: 1850.8425, usercpu_time_millis: 417.148, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 416.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7393, kappa: 0.4758, kb_relative_information_score: 221.794, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7401, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9589, scimark_benchmark: 1734.6403, usercpu_time_millis: 165.398, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 164.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7495, kappa: 0.4948, kb_relative_information_score: 1604.3846, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7495, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1842.8383, usercpu_time_millis: 266.175, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 265.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7523, kappa: 0.501, kb_relative_information_score: 686.3794, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.882, scimark_benchmark: 1860.7926, usercpu_time_millis: 229.285, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 228.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 620.2469, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9028, scimark_benchmark: 1840.1194, usercpu_time_millis: 122.77, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 122.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1771.3053, usercpu_time_millis: 362.49, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 361.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.758, kappa: 0.5116, kb_relative_information_score: 1214.4719, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8252, scimark_benchmark: 1853.454, usercpu_time_millis: 394.082, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 393.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7512, kappa: 0.4983, kb_relative_information_score: 1587.1532, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8678, scimark_benchmark: 1824.5408, usercpu_time_millis: 445.902, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 445.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.721, kappa: 0.437, kb_relative_information_score: 629.3041, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7225, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8948, scimark_benchmark: 1065.0798, usercpu_time_millis: 99.707, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 98.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7509, kappa: 0.4976, kb_relative_information_score: 1049.1881, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8431, scimark_benchmark: 1852.4008, usercpu_time_millis: 78.675, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 78.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7728, kappa: 0.5418, kb_relative_information_score: 1530.8618, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8051, scimark_benchmark: 1731.1139, usercpu_time_millis: 230.836, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 230.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7635, kappa: 0.5229, kb_relative_information_score: 1558.6048, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7637, predictive_accuracy: 0.7641, prior_entropy: 0.9948, recall: 0.7641, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8227, scimark_benchmark: 1831.4784, usercpu_time_millis: 219.863, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 219.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7336, kappa: 0.4624, kb_relative_information_score: 578.3664, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7358, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9008, scimark_benchmark: 1841.1012, usercpu_time_millis: 195.993, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 195.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7419, kappa: 0.4806, kb_relative_information_score: 582.953, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8996, scimark_benchmark: 1857.0384, usercpu_time_millis: 265.391, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 264.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7557, kappa: 0.5074, kb_relative_information_score: 1556.4785, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8434, scimark_benchmark: 1849.408, usercpu_time_millis: 85.563, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 85.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 787.1612, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8871, scimark_benchmark: 1738.9232, usercpu_time_millis: 249.757, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 249.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7004, kappa: 0.3953, kb_relative_information_score: 470.4792, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7016, predictive_accuracy: 0.7022, prior_entropy: 0.9948, recall: 0.7022, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9188, scimark_benchmark: 1732.726, usercpu_time_millis: 254.661, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 253.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7567, kappa: 0.5095, kb_relative_information_score: 1594.2108, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8478, scimark_benchmark: 1856.0123, usercpu_time_millis: 278.854, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 278.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7879, kappa: 0.5721, kb_relative_information_score: 1495.0424, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7797, scimark_benchmark: 1857.5664, usercpu_time_millis: 281.942, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 281.42,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.807, kappa: 0.6108, kb_relative_information_score: 1763.1987, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7499, scimark_benchmark: 1857.5664, usercpu_time_millis: 334.209, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 332.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7675, kappa: 0.5311, kb_relative_information_score: 1599.4826, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8182, scimark_benchmark: 1852.0126, usercpu_time_millis: 27.378, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 26.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7586, kappa: 0.5132, kb_relative_information_score: 1167.2613, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1852.9988, usercpu_time_millis: 460.004, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 459.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7471, kappa: 0.4897, kb_relative_information_score: 863.8347, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7477, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8586, scimark_benchmark: 1851.9456, usercpu_time_millis: 348.613, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 347.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -12.9977, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0003, scimark_benchmark: 1857.0384, usercpu_time_millis: 327.122, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 326.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7657, kappa: 0.5274, kb_relative_information_score: 1487.418, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7662, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8162, scimark_benchmark: 1852.9259, usercpu_time_millis: 296.35, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 295.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.7737, kappa: 0.5437, kb_relative_information_score: 1069.1478, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1851.4874, usercpu_time_millis: 195.221, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 194.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7686, kappa: 0.5331, kb_relative_information_score: 1294.626, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7692, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8144, scimark_benchmark: 1711.2069, usercpu_time_millis: 477.385, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 476.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7435, kappa: 0.4829, kb_relative_information_score: 768.1399, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7434, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8698, scimark_benchmark: 1852.9259, usercpu_time_millis: 65.977, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 65.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7553, kappa: 0.5065, kb_relative_information_score: 669.1067, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.885, scimark_benchmark: 1855.0232, usercpu_time_millis: 328.238, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 327.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.6983, kappa: 0.3913, kb_relative_information_score: 609.9272, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6987, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9013, scimark_benchmark: 1855.1417, usercpu_time_millis: 211.813, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 211.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7538, kappa: 0.5037, kb_relative_information_score: 996.7054, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8464, scimark_benchmark: 1722.7088, usercpu_time_millis: 277.998, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 277.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7697, kappa: 0.5352, kb_relative_information_score: 1312.8524, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7703, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8136, scimark_benchmark: 1854.4431, usercpu_time_millis: 562.941, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 562.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7463, kappa: 0.488, kb_relative_information_score: 876.1614, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7469, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8585, scimark_benchmark: 1858.7986, usercpu_time_millis: 27.714, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 27.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7689, kappa: 0.5339, kb_relative_information_score: 1608.512, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.813, scimark_benchmark: 1885.2286, usercpu_time_millis: 27.041, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 26.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7704, kappa: 0.5368, kb_relative_information_score: 1143.3634, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7707, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8233, scimark_benchmark: 1856.5802, usercpu_time_millis: 351.131, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 350.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7523, kappa: 0.5004, kb_relative_information_score: 1162.5884, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.84, scimark_benchmark: 1839.7737, usercpu_time_millis: 541.059, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 539.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7042, kappa: 0.4032, kb_relative_information_score: 658.5805, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7044, predictive_accuracy: 0.7051, prior_entropy: 0.9948, recall: 0.7051, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8934, scimark_benchmark: 1859.1356, usercpu_time_millis: 265.766, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 265.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7648, kappa: 0.5255, kb_relative_information_score: 1376.0168, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7654, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8112, scimark_benchmark: 1818.2865, usercpu_time_millis: 501.671, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 501.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7597, kappa: 0.5158, kb_relative_information_score: 1703.7008, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8565, scimark_benchmark: 1857.6942, usercpu_time_millis: 49.445, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 48.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7563, kappa: 0.5083, kb_relative_information_score: 998.8697, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8411, scimark_benchmark: 1717.041, usercpu_time_millis: 462.387, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 461.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7375, kappa: 0.471, kb_relative_information_score: 626.8536, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8916, scimark_benchmark: 1762.9885, usercpu_time_millis: 19.871, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 19.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7645, kappa: 0.5248, kb_relative_information_score: 1339.603, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8168, scimark_benchmark: 1852.4707, usercpu_time_millis: 465.976, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 465.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8068, kappa: 0.6104, kb_relative_information_score: 2026.3753, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1713.8723, usercpu_time_millis: 320.087, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 319.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7678, kappa: 0.5314, kb_relative_information_score: 1453.3269, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.813, scimark_benchmark: 1853.9121, usercpu_time_millis: 600.788, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 600.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7648, kappa: 0.5254, kb_relative_information_score: 1306.7465, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7655, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8161, scimark_benchmark: 1853.9121, usercpu_time_millis: 362.388, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 361.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7586, kappa: 0.5129, kb_relative_information_score: 1236.3777, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7593, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8288, scimark_benchmark: 1741.9804, usercpu_time_millis: 429.721, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 428.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7595, kappa: 0.5148, kb_relative_information_score: 1065.1207, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8387, scimark_benchmark: 1853.454, usercpu_time_millis: 510.146, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 509.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7542, kappa: 0.5041, kb_relative_information_score: 949.2173, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8475, scimark_benchmark: 1856.0551, usercpu_time_millis: 386.732, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 386.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7163, kappa: 0.4276, kb_relative_information_score: 701.7557, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7165, predictive_accuracy: 0.7171, prior_entropy: 0.9948, recall: 0.7171, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8852, scimark_benchmark: 1858.1494, usercpu_time_millis: 457.96, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 456.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7715, kappa: 0.5391, kb_relative_information_score: 1540.9273, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.805, scimark_benchmark: 1833.2039, usercpu_time_millis: 84.675, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 84.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7686, kappa: 0.5333, kb_relative_information_score: 1061.0686, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8302, scimark_benchmark: 1837.6751, usercpu_time_millis: 316.934, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 316.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 926.683, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8714, scimark_benchmark: 1852.859, usercpu_time_millis: 314.197, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 313.831,

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

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