OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7717, kappa: 0.5394, kb_relative_information_score: 1248.2175, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1852.9259, usercpu_time_millis: 43.542, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 42.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0143, mean_absolute_error: 0.4964, 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, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1722.2536, usercpu_time_millis: 8.313, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 6.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7691, kappa: 0.5342, kb_relative_information_score: 1146.2137, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7697, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8207, scimark_benchmark: 1717.6822, usercpu_time_millis: 74.359, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 73.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 972.4535, mean_absolute_error: 0.3871, 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: 0.7797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8799, scimark_benchmark: 1853.3841, usercpu_time_millis: 357.016, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 355.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1414.0915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1043.3243, usercpu_time_millis: 315.356, usercpu_time_millis_testing: 313.782, usercpu_time_millis_training: 1.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1073.8916, usercpu_time_millis: 315.909, usercpu_time_millis_testing: 314.277, usercpu_time_millis_training: 1.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1098.1746, usercpu_time_millis: 335.509, usercpu_time_millis_testing: 333.824, usercpu_time_millis_training: 1.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, 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: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1061.0461, usercpu_time_millis: 338.538, usercpu_time_millis_testing: 336.884, usercpu_time_millis_training: 1.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1069.8296, usercpu_time_millis: 345.295, usercpu_time_millis_testing: 343.663, usercpu_time_millis_training: 1.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1835.324, usercpu_time_millis: 86.54, usercpu_time_millis_testing: 85.759, usercpu_time_millis_training: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1632.2084, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1744.6016, usercpu_time_millis: 96.189, usercpu_time_millis_testing: 95.431, usercpu_time_millis_training: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1827.573, usercpu_time_millis: 109.734, usercpu_time_millis_testing: 108.935, usercpu_time_millis_training: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1725.1409, usercpu_time_millis: 123.159, usercpu_time_millis_testing: 122.355, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1833.1413, usercpu_time_millis: 85.13, usercpu_time_millis_testing: 84.377, usercpu_time_millis_training: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1840.2451, usercpu_time_millis: 114.612, usercpu_time_millis_testing: 113.843, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, 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: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1733.0105, usercpu_time_millis: 113.996, usercpu_time_millis_testing: 113.137, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1736.2051, usercpu_time_millis: 118.556, usercpu_time_millis_testing: 117.644, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1746.3989, usercpu_time_millis: 145.249, usercpu_time_millis_testing: 144.465, usercpu_time_millis_training: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1740.2768, usercpu_time_millis: 145.938, usercpu_time_millis_testing: 145.142, usercpu_time_millis_training: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1253.1197, usercpu_time_millis: 234.696, usercpu_time_millis_testing: 233.362, usercpu_time_millis_training: 1.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1424.4993, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1144.9089, usercpu_time_millis: 332.135, usercpu_time_millis_testing: 330.477, usercpu_time_millis_training: 1.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1148.1424, usercpu_time_millis: 353.501, usercpu_time_millis_testing: 351.858, usercpu_time_millis_training: 1.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7412, kappa: 0.4783, kb_relative_information_score: 0.4774, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7411, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5834, kappa: 0.1602, kb_relative_information_score: 0.1591, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5831, predictive_accuracy: 0.5838, prior_entropy: 0.9948, recall: 0.5838, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6451, root_relative_squared_error: 1.2948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7524, kappa: 0.5007, kb_relative_information_score: 0.5006, mean_absolute_error: 0.2471, 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: 0.4978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.761, kappa: 0.5179, kb_relative_information_score: 0.2527, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7978, kappa: 0.5921, kb_relative_information_score: 0.5633, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8046, kappa: 0.606, kb_relative_information_score: 0.583, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7946, kappa: 0.5857, kb_relative_information_score: 0.4329, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7318, kappa: 0.4614, kb_relative_information_score: 0.1167, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.745, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7894, kappa: 0.5753, kb_relative_information_score: 0.4284, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 0.3225, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7911, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7853, kappa: 0.567, kb_relative_information_score: 0.2055, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7597, kappa: 0.5188, kb_relative_information_score: 0.506, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7633, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7645, kappa: 0.5247, kb_relative_information_score: 0.1643, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7488, kappa: 0.494, kb_relative_information_score: 0.1421, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8042, kappa: 0.6051, kb_relative_information_score: 0.4777, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7963, kappa: 0.5893, kb_relative_information_score: 0.5429, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7963, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7769, kappa: 0.5498, kb_relative_information_score: 0.352, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7775, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.806,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 0.0766, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7449, kappa: 0.4855, kb_relative_information_score: 0.4855, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6994, kappa: 0.3938, kb_relative_information_score: 0.3934, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6992, predictive_accuracy: 0.6998, prior_entropy: 0.9948, recall: 0.6998, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7161, kappa: 0.4338, kb_relative_information_score: 0.4462, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6739, kappa: 0.3577, kb_relative_information_score: 0.3767, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7148, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.4659, kappa: 0.0854, kb_relative_information_score: 0.1461, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6932, predictive_accuracy: 0.5774, prior_entropy: 0.9948, recall: 0.5774, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.65, root_relative_squared_error: 1.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5266, kappa: 0.1528, kb_relative_information_score: 0.2022, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6911, predictive_accuracy: 0.6052, prior_entropy: 0.9948, recall: 0.6052, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6284, root_relative_squared_error: 1.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7558, kappa: 0.5073, kb_relative_information_score: 0.5081, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.4468, kappa: 0.0658, kb_relative_information_score: 0.13, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6982, predictive_accuracy: 0.5694, prior_entropy: 0.9948, recall: 0.5694, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7231, kappa: 0.4418, kb_relative_information_score: 0.4408, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7229, predictive_accuracy: 0.7233, prior_entropy: 0.9948, recall: 0.7233, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.7262, kappa: 0.4481, kb_relative_information_score: 0.4473, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7261, predictive_accuracy: 0.7265, prior_entropy: 0.9948, recall: 0.7265, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.523, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6762, kappa: 0.3619, kb_relative_information_score: 0.3805, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7162, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7339, kappa: 0.4636, kb_relative_information_score: 0.4629, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7338, predictive_accuracy: 0.7342, prior_entropy: 0.9948, recall: 0.7342, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6756, kappa: 0.3607, kb_relative_information_score: 0.3794, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7158, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.6921, kappa: 0.3795, kb_relative_information_score: 0.3783, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.692, predictive_accuracy: 0.6923, prior_entropy: 0.9948, recall: 0.6923, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1133,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs