Task
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: 0.8406, f_measure: 0.7708, kappa: 0.5375, kb_relative_information_score: 1369.0626, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7713, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8056, scimark_benchmark: 1772.1473, usercpu_time_millis: 4485.972, usercpu_time_millis_testing: 2.892, usercpu_time_millis_training: 4483.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7852, kappa: 0.5667, kb_relative_information_score: 1499.9948, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7858, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7841, scimark_benchmark: 1825.0095, usercpu_time_millis: 5273.018, usercpu_time_millis_testing: 2.451, usercpu_time_millis_training: 5270.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7741, kappa: 0.5441, kb_relative_information_score: 1337.8422, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7756, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1749.0636, usercpu_time_millis: 2260.626, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 2258.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8054, kappa: 0.6074, kb_relative_information_score: 1653.4909, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7571, scimark_benchmark: 1884.3618, usercpu_time_millis: 10954.108, usercpu_time_millis_testing: 4.062, usercpu_time_millis_training: 10950.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7826, kappa: 0.5617, kb_relative_information_score: 1089.296, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8158, scimark_benchmark: 1829.5328, usercpu_time_millis: 10.176, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 9.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6891, kappa: 0.3738, kb_relative_information_score: 472.7388, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.695, predictive_accuracy: 0.6937, prior_entropy: 0.9948, recall: 0.6937, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9174, scimark_benchmark: 1803.8183, usercpu_time_millis: 19.413, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 17.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.6616, kappa: 0.3323, kb_relative_information_score: 264.3034, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6976, predictive_accuracy: 0.679, prior_entropy: 0.9948, recall: 0.679, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.952, scimark_benchmark: 1834.2992, usercpu_time_millis: 12.732, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 11.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7254, kappa: 0.4459, kb_relative_information_score: 627.3574, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7268, predictive_accuracy: 0.727, prior_entropy: 0.9948, recall: 0.727, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8897, scimark_benchmark: 1741.0448, usercpu_time_millis: 41.192, usercpu_time_millis_testing: 3.781, usercpu_time_millis_training: 37.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7555, kappa: 0.5065, kb_relative_information_score: 953.3135, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8466, scimark_benchmark: 1821.3375, usercpu_time_millis: 275.129, usercpu_time_millis_testing: 1.797, usercpu_time_millis_training: 273.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7882, kappa: 0.5728, kb_relative_information_score: 1453.7583, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7854, scimark_benchmark: 1767.7392, usercpu_time_millis: 327.12, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 326.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7932, kappa: 0.5829, kb_relative_information_score: 1326.7949, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7898, scimark_benchmark: 1714.2057, usercpu_time_millis: 340.237, usercpu_time_millis_testing: 2.965, usercpu_time_millis_training: 337.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7377, kappa: 0.4713, kb_relative_information_score: 1105.2248, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8585, scimark_benchmark: 1780.0443, usercpu_time_millis: 5.371, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 4.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7491, kappa: 0.4937, kb_relative_information_score: 491.9482, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9145, scimark_benchmark: 1823.7782, usercpu_time_millis: 60.869, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 59.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7414, kappa: 0.4782, kb_relative_information_score: 783.2512, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7421, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.431, root_relative_squared_error: 0.865, scimark_benchmark: 1827.0507, usercpu_time_millis: 29.842, usercpu_time_millis_testing: 2.113, usercpu_time_millis_training: 27.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7922, kappa: 0.5809, kb_relative_information_score: 1269.8135, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7923, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7966, scimark_benchmark: 1873.0522, usercpu_time_millis: 118.254, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 116.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6731, kappa: 0.3522, kb_relative_information_score: 289.6573, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7039, predictive_accuracy: 0.6878, prior_entropy: 0.9948, recall: 0.6878, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9474, scimark_benchmark: 1775.477, usercpu_time_millis: 21.257, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 19.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.6478, kappa: 0.3118, kb_relative_information_score: 237.0665, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6968, predictive_accuracy: 0.6708, prior_entropy: 0.9948, recall: 0.6708, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9569, scimark_benchmark: 1846.8749, usercpu_time_millis: 10.585, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 9.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7405, kappa: 0.4764, kb_relative_information_score: 628.7023, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7418, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8883, scimark_benchmark: 1938.5158, usercpu_time_millis: 50.839, usercpu_time_millis_testing: 4.268, usercpu_time_millis_training: 46.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7762, kappa: 0.5483, kb_relative_information_score: 1320.4578, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7772, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8057, scimark_benchmark: 1827.8827, usercpu_time_millis: 724.618, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 723.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0329, 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: 1733.7236, usercpu_time_millis: 7.021, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 6.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.0267, 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: 1741.3239, usercpu_time_millis: 9.396, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 7.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1262, 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: 1731.2477, usercpu_time_millis: 9.656, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 8.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 915.6918, mean_absolute_error: 0.3946, 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: 0.7949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8789, scimark_benchmark: 1731.1978, usercpu_time_millis: 160.736, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 159.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.2083, 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: 1749.1782, usercpu_time_millis: 6.317, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 5.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7714, kappa: 0.5387, kb_relative_information_score: 1237.2998, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7718, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8129, scimark_benchmark: 1940.0599, usercpu_time_millis: 168.672, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 167.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7732, kappa: 0.5424, kb_relative_information_score: 1441.726, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7748, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7986, scimark_benchmark: 1817.6844, usercpu_time_millis: 275.155, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 274.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7374, kappa: 0.472, kb_relative_information_score: 690.1398, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8899, scimark_benchmark: 1757.9268, usercpu_time_millis: 94.696, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 93.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7784, kappa: 0.5529, kb_relative_information_score: 1349.2568, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8041, scimark_benchmark: 1834.3007, usercpu_time_millis: 1206.165, usercpu_time_millis_testing: 1.437, usercpu_time_millis_training: 1204.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8023, kappa: 0.6013, kb_relative_information_score: 1670.5069, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7618, scimark_benchmark: 1834.692, usercpu_time_millis: 1334.481, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 1333.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7783, kappa: 0.5526, kb_relative_information_score: 1333.3648, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7794, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8057, scimark_benchmark: 1718.3516, usercpu_time_millis: 2831.468, usercpu_time_millis_testing: 2.543, usercpu_time_millis_training: 2828.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.797, kappa: 0.5906, kb_relative_information_score: 1514.3709, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.772, scimark_benchmark: 1694.8787, usercpu_time_millis: 2886.872, usercpu_time_millis_testing: 2.579, usercpu_time_millis_training: 2884.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7971, kappa: 0.5906, kb_relative_information_score: 1585.2352, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7976, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.768, scimark_benchmark: 1790.179, usercpu_time_millis: 2583.436, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 2582.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8045, kappa: 0.6059, kb_relative_information_score: 1675.6741, mean_absolute_error: 0.2907, 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: 0.5855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.753, scimark_benchmark: 1739.2485, usercpu_time_millis: 3905.937, usercpu_time_millis_testing: 3.76, usercpu_time_millis_training: 3902.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0707, 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: 1841.3729, usercpu_time_millis: 5.637, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 4.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.3946, 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: 1798.8045, usercpu_time_millis: 4.26, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 3.599,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0879, 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: 1792.2009, usercpu_time_millis: 7.592, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 6.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7466, kappa: 0.4894, kb_relative_information_score: 1216.5232, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.414, root_relative_squared_error: 0.831, scimark_benchmark: 1714.7036, usercpu_time_millis: 1299.11, usercpu_time_millis_testing: 1.964, usercpu_time_millis_training: 1297.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.77, kappa: 0.536, kb_relative_information_score: 1110.2726, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7705, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8226, scimark_benchmark: 1731.8603, usercpu_time_millis: 306.379, usercpu_time_millis_testing: 2.081, usercpu_time_millis_training: 304.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8022, kappa: 0.6011, kb_relative_information_score: 1380.8878, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8022, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7736, scimark_benchmark: 1777.541, usercpu_time_millis: 80.174, usercpu_time_millis_testing: 2.752, usercpu_time_millis_training: 77.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7485, kappa: 0.4926, kb_relative_information_score: 823.3426, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.749, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8635, scimark_benchmark: 1719.5704, usercpu_time_millis: 89.595, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 88.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7375, kappa: 0.4723, kb_relative_information_score: 825.6772, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8754, scimark_benchmark: 1732.9111, usercpu_time_millis: 237.578, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 236.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8022, kappa: 0.601, kb_relative_information_score: 1528.5249, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7659, scimark_benchmark: 1720.4927, usercpu_time_millis: 387.218, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 385.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7473, kappa: 0.4904, kb_relative_information_score: 1158.8752, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.42, root_relative_squared_error: 0.843, scimark_benchmark: 1731.5003, usercpu_time_millis: 398.48, usercpu_time_millis_testing: 1.244, usercpu_time_millis_training: 397.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8113, kappa: 0.6195, kb_relative_information_score: 1657.5962, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1721.8007, usercpu_time_millis: 401.851, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 400.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8017, kappa: 0.5999, kb_relative_information_score: 1556.4507, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7653, scimark_benchmark: 1712.005, usercpu_time_millis: 3358.569, usercpu_time_millis_testing: 3.144, usercpu_time_millis_training: 3355.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.79, kappa: 0.5764, kb_relative_information_score: 1479.1985, mean_absolute_error: 0.3181, 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: 0.6407, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7817, scimark_benchmark: 1736.1912, usercpu_time_millis: 3422.236, usercpu_time_millis_testing: 2.763, usercpu_time_millis_training: 3419.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7189, kappa: 0.4328, kb_relative_information_score: 632.7183, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7192, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8925, scimark_benchmark: 1719.131, usercpu_time_millis: 11.482, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 10.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1172, 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: 1944.8569, usercpu_time_millis: 7.828, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 6.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 793.0725, mean_absolute_error: 0.4103, 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: 0.8264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8778, scimark_benchmark: 1716.99, usercpu_time_millis: 29.381, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 28.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7182, kappa: 0.4325, kb_relative_information_score: 400.4719, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7254, predictive_accuracy: 0.7225, prior_entropy: 0.9948, recall: 0.7225, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9291, scimark_benchmark: 1764.9243, usercpu_time_millis: 31.76, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 30.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7853, kappa: 0.5668, kb_relative_information_score: 1302.3271, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7858, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7981, scimark_benchmark: 1744.7516, usercpu_time_millis: 90.065, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 88.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -1.2179, 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: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1726.6494, usercpu_time_millis: 5.162, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 4.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0744, 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: 1720.2271, usercpu_time_millis: 6.6, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 5.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7052, kappa: 0.4054, kb_relative_information_score: 553.4008, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7078, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9043, scimark_benchmark: 1753.0912, usercpu_time_millis: 11.802, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 10.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7088, kappa: 0.4126, kb_relative_information_score: 558.2434, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7118, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9024, scimark_benchmark: 1758.8368, usercpu_time_millis: 17.334, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 16.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7137, kappa: 0.4222, kb_relative_information_score: 596.8298, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7141, predictive_accuracy: 0.7147, prior_entropy: 0.9948, recall: 0.7147, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8982, scimark_benchmark: 1732.349, usercpu_time_millis: 24.808, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 23.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8026, kappa: 0.602, kb_relative_information_score: 1747.4665, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7545, scimark_benchmark: 1714.1819, usercpu_time_millis: 1723.557, usercpu_time_millis_testing: 1.465, usercpu_time_millis_training: 1722.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7856, kappa: 0.5675, kb_relative_information_score: 1426.3875, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.786, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7893, scimark_benchmark: 1722.6597, usercpu_time_millis: 3428.791, usercpu_time_millis_testing: 2.46, usercpu_time_millis_training: 3426.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0312, 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: 1722.4485, usercpu_time_millis: 11.525, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 9.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8022, kappa: 0.601, kb_relative_information_score: 1639.2885, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7582, scimark_benchmark: 1733.3586, usercpu_time_millis: 1796.741, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 1795.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7656, kappa: 0.527, kb_relative_information_score: 1314.3, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8122, scimark_benchmark: 1756.1315, usercpu_time_millis: 1934.983, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 1933.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8073, kappa: 0.6114, kb_relative_information_score: 1615.3249, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7572, scimark_benchmark: 1722.7088, usercpu_time_millis: 446.734, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 445.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1566.3709, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.768, scimark_benchmark: 1727.5559, usercpu_time_millis: 8587.04, usercpu_time_millis_testing: 4.943, usercpu_time_millis_training: 8582.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7881, kappa: 0.5726, kb_relative_information_score: 1487.3678, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7859, scimark_benchmark: 1723.4934, usercpu_time_millis: 53.814, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 53.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7514, kappa: 0.4983, kb_relative_information_score: 835.1872, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8656, scimark_benchmark: 1731.7648, usercpu_time_millis: 114.46, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 113.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7909, kappa: 0.5782, kb_relative_information_score: 1468.8762, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1694.5315, usercpu_time_millis: 1914.855, usercpu_time_millis_testing: 2.714, usercpu_time_millis_training: 1912.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7913, kappa: 0.579, kb_relative_information_score: 1386.3392, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7848, scimark_benchmark: 1858.1494, usercpu_time_millis: 222.056, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 220.532,

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