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: 0.8152, f_measure: 0.7473, kappa: 0.49, kb_relative_information_score: 1084.4116, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.748, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8416, scimark_benchmark: 1839.7313, usercpu_time_millis: 251.384, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 250.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7451, kappa: 0.4862, kb_relative_information_score: 1065.5064, mean_absolute_error: 0.373, 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: 0.7513, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8442, scimark_benchmark: 1821.736, usercpu_time_millis: 115.802, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 115.37,
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: 1634.4119, usercpu_time_millis: 300.572, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 299.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: -0.4047, mean_absolute_error: 0.4964, 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: 0.9998, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9964, scimark_benchmark: 1832.6873, usercpu_time_millis: 209.419, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 208.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.698, kappa: 0.3913, kb_relative_information_score: 1406.4091, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6979, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0025, scimark_benchmark: 1856.0093, usercpu_time_millis: 681.264, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 680.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7525, kappa: 0.5006, kb_relative_information_score: 432.3504, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9211, scimark_benchmark: 1858.2223, usercpu_time_millis: 643.713, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 642.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 557.3346, mean_absolute_error: 0.4389, 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: 0.8841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9103, scimark_benchmark: 1838.254, usercpu_time_millis: 531.387, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 531.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7586, kappa: 0.5129, kb_relative_information_score: 1267.4293, mean_absolute_error: 0.3464, 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: 0.6978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8265, scimark_benchmark: 1852.0126, usercpu_time_millis: 684.469, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 684.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -6.182, mean_absolute_error: 0.497, 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: 1.0011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001, scimark_benchmark: 1847.8724, usercpu_time_millis: 165.765, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 165.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7688, kappa: 0.5336, kb_relative_information_score: 1496.7534, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7691, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8111, scimark_benchmark: 1730.7773, usercpu_time_millis: 69.258, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 68.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7389, kappa: 0.4732, kb_relative_information_score: 696.9492, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8857, scimark_benchmark: 1846.3057, usercpu_time_millis: 329.827, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 329.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7753, kappa: 0.5469, kb_relative_information_score: 1629.189, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7755, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7902, scimark_benchmark: 1854.0399, usercpu_time_millis: 444.574, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 443.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7577, kappa: 0.5114, kb_relative_information_score: 1591.2124, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8307, scimark_benchmark: 1731.0556, usercpu_time_millis: 68.71, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 68.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7597, kappa: 0.5151, kb_relative_information_score: 1197.7995, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.76, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8228, scimark_benchmark: 1845.181, usercpu_time_millis: 332.976, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 332.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7901, kappa: 0.5767, kb_relative_information_score: 1734.2028, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7902, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7698, scimark_benchmark: 1852.0126, usercpu_time_millis: 379.173, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 378.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7802, kappa: 0.5568, kb_relative_information_score: 1501.3952, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1852.9259, usercpu_time_millis: 82.897, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 82.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.753, kappa: 0.5015, kb_relative_information_score: 308.1671, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7547, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9422, scimark_benchmark: 1853.9121, usercpu_time_millis: 459.339, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 457.869,
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: 1823.0949, usercpu_time_millis: 269.396, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 268.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7407, kappa: 0.4769, kb_relative_information_score: 822.5054, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7409, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8665, scimark_benchmark: 1720.4927, usercpu_time_millis: 148.015, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 147.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7762, kappa: 0.5487, kb_relative_information_score: 1734.8544, mean_absolute_error: 0.2762, 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: 0.5564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8086, scimark_benchmark: 1847.3406, usercpu_time_millis: 341.421, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 340.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7666, kappa: 0.5292, kb_relative_information_score: 1464.5162, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1845.3986, usercpu_time_millis: 703.667, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 702.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.6257, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1834.2449, usercpu_time_millis: 341.233, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 340.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 815.7908, mean_absolute_error: 0.4076, 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: 0.8211, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8831, scimark_benchmark: 1847.3406, usercpu_time_millis: 380.332, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 379.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7261, kappa: 0.4473, kb_relative_information_score: 674.8403, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7282, predictive_accuracy: 0.7281, prior_entropy: 0.9948, recall: 0.7281, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8904, scimark_benchmark: 1857.5664, usercpu_time_millis: 759.811, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 759.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7662, kappa: 0.5285, kb_relative_information_score: 1317.0356, mean_absolute_error: 0.3397, 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: 0.6843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8125, scimark_benchmark: 1845.8518, usercpu_time_millis: 168.33, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 167.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7423, kappa: 0.4805, kb_relative_information_score: 1638.3196, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7422, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.916, scimark_benchmark: 1824.6791, usercpu_time_millis: 335.33, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 334.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 288.4207, mean_absolute_error: 0.4682, 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: 0.9432, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1738.1962, usercpu_time_millis: 585.223, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 584.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7675, kappa: 0.5308, kb_relative_information_score: 1432.1325, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7682, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8119, scimark_benchmark: 1846.6536, usercpu_time_millis: 670.624, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 670.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7821, kappa: 0.5606, kb_relative_information_score: 1332.1944, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7947, scimark_benchmark: 1851.0335, usercpu_time_millis: 212.015, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 211.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7621, kappa: 0.52, kb_relative_information_score: 1194.2649, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7624, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8224, scimark_benchmark: 1852.9259, usercpu_time_millis: 426.616, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 425.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.6865, kappa: 0.3675, kb_relative_information_score: 501.3588, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6887, predictive_accuracy: 0.6892, prior_entropy: 0.9948, recall: 0.6892, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.917, scimark_benchmark: 1842.598, usercpu_time_millis: 176.138, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 174.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7558, kappa: 0.5075, kb_relative_information_score: 1776.5189, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.895, scimark_benchmark: 1853.9121, usercpu_time_millis: 233.592, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 233.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7963, kappa: 0.5892, kb_relative_information_score: 1583.0683, mean_absolute_error: 0.3042, 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: 0.6127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7612, scimark_benchmark: 1852.5406, usercpu_time_millis: 483.937, usercpu_time_millis_testing: 1.589, usercpu_time_millis_training: 482.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1619.8798, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.817, scimark_benchmark: 1856.0123, usercpu_time_millis: 782.307, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 781.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7467, kappa: 0.4895, kb_relative_information_score: 1049.7179, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7466, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8531, scimark_benchmark: 1727.7071, usercpu_time_millis: 608.13, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 607.595,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7345, kappa: 0.4642, kb_relative_information_score: 593.2571, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8985, scimark_benchmark: 1843.1261, usercpu_time_millis: 791.553, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 791.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7847, kappa: 0.5658, kb_relative_information_score: 1811.3634, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7861, scimark_benchmark: 1828.9738, usercpu_time_millis: 457.64, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 456.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1955.6685, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.744, scimark_benchmark: 1737.8652, usercpu_time_millis: 844.879, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 843.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 841.9442, mean_absolute_error: 0.4041, 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: 0.814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8799, scimark_benchmark: 1809.5262, usercpu_time_millis: 277.047, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 276.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8102, kappa: 0.6172, kb_relative_information_score: 1918.545, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7376, scimark_benchmark: 1729.9318, usercpu_time_millis: 381.468, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 380.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7646, kappa: 0.5253, kb_relative_information_score: 1341.0605, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8129, scimark_benchmark: 1852.4707, usercpu_time_millis: 578.276, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 577.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7681, kappa: 0.532, kb_relative_information_score: 1401.75, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7687, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8155, scimark_benchmark: 1851.8567, usercpu_time_millis: 616.538, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 615.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7532, kappa: 0.5026, kb_relative_information_score: 1041.4309, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8418, scimark_benchmark: 1838.1793, usercpu_time_millis: 360.793, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 360.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7635, kappa: 0.523, kb_relative_information_score: 1303.9922, mean_absolute_error: 0.3416, 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: 0.6882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.811, scimark_benchmark: 1851.4874, usercpu_time_millis: 336.963, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 336.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7687, kappa: 0.5334, kb_relative_information_score: 1495.1537, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7691, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8174, scimark_benchmark: 1851.3287, usercpu_time_millis: 885.165, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 884.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -1.9967, mean_absolute_error: 0.4966, 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: 1.0003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1847.3406, usercpu_time_millis: 343.685, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 342.65,
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: 1802.0457, usercpu_time_millis: 312.736, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 312.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.3813, kb_relative_information_score: -6.0648, mean_absolute_error: 0.4969, 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: 1.001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001, scimark_benchmark: 1855.1417, usercpu_time_millis: 492.022, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 491.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7666, kappa: 0.5292, kb_relative_information_score: 1115.7634, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8256, scimark_benchmark: 1854.4951, usercpu_time_millis: 302.663, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 302.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 873.5787, mean_absolute_error: 0.4001, 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: 0.806, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8769, scimark_benchmark: 1829.632, usercpu_time_millis: 342.059, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 341.223,
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: 1828.2214, usercpu_time_millis: 398.173, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 397.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7592, kappa: 0.5142, kb_relative_information_score: 1532.077, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8264, scimark_benchmark: 1736.9559, usercpu_time_millis: 912.24, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 911.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1533.3488, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.823, scimark_benchmark: 1851.4874, usercpu_time_millis: 762.78, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 762.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8092, kappa: 0.6152, kb_relative_information_score: 2029.2615, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7488, scimark_benchmark: 1836.7742, usercpu_time_millis: 740.497, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 739.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7783, kappa: 0.5529, kb_relative_information_score: 1661.7381, mean_absolute_error: 0.2883, 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: 0.5807, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7911, scimark_benchmark: 1856.1949, usercpu_time_millis: 574.352, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 573.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.753, kappa: 0.5021, kb_relative_information_score: 938.1614, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7529, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8447, scimark_benchmark: 1856.0551, usercpu_time_millis: 379.966, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 378.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7443, kappa: 0.4845, kb_relative_information_score: 898.8279, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.854, scimark_benchmark: 1734.2107, usercpu_time_millis: 645.897, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 644.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7611, kappa: 0.5179, kb_relative_information_score: 1292.7701, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.824, scimark_benchmark: 1853.3841, usercpu_time_millis: 789.716, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 789.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7603, kappa: 0.5166, kb_relative_information_score: 1603.4172, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8441, scimark_benchmark: 1844.2676, usercpu_time_millis: 526.051, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 525.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7517, kappa: 0.499, kb_relative_information_score: 945.9973, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8553, scimark_benchmark: 1832.2404, usercpu_time_millis: 379.248, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 378.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.748, kappa: 0.4915, kb_relative_information_score: 861.7378, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7489, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8594, scimark_benchmark: 1849.7595, usercpu_time_millis: 586.62, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 585.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7776, kappa: 0.5517, kb_relative_information_score: 1666.8503, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7909, scimark_benchmark: 1854.0399, usercpu_time_millis: 384.571, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 383.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1083.3338, mean_absolute_error: 0.373, 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: 0.7514, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8305, scimark_benchmark: 1832.5979, usercpu_time_millis: 414.655, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 413.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8011, kappa: 0.5989, kb_relative_information_score: 1901.9904, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7554, scimark_benchmark: 1807.3777, usercpu_time_millis: 831.432, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 830.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7538, kappa: 0.5035, kb_relative_information_score: 1606.1804, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.867, scimark_benchmark: 1837.5413, usercpu_time_millis: 402.778, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 401.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 454.499, mean_absolute_error: 0.4505, 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: 0.9074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9238, scimark_benchmark: 1848.388, usercpu_time_millis: 595.274, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 594.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7494, kappa: 0.4949, kb_relative_information_score: 1103.9538, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7493, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8483, scimark_benchmark: 1849.408, usercpu_time_millis: 461.097, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 460.555,

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