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: 0.8745, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1681.8494, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7562, scimark_benchmark: 1804.9716, usercpu_time_millis: 10756.751, usercpu_time_millis_testing: 4.881, usercpu_time_millis_training: 10751.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1602.7091, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7626, scimark_benchmark: 1763.1755, usercpu_time_millis: 10289.262, usercpu_time_millis_testing: 4.885, usercpu_time_millis_training: 10284.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1659.2219, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7589, scimark_benchmark: 1755.0652, usercpu_time_millis: 8952.735, usercpu_time_millis_testing: 3.673, usercpu_time_millis_training: 8949.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7796, kappa: 0.5552, kb_relative_information_score: 1348.2986, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8047, scimark_benchmark: 1791.9231, usercpu_time_millis: 4447.799, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 4444.91,
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: 0.8614, f_measure: 0.7939, kappa: 0.5842, kb_relative_information_score: 1457.6962, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7798, scimark_benchmark: 1782.5422, usercpu_time_millis: 1533.602, usercpu_time_millis_testing: 3.389, usercpu_time_millis_training: 1530.213,
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: 0.8553, f_measure: 0.7821, kappa: 0.5604, kb_relative_information_score: 1476.3049, mean_absolute_error: 0.3179, 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: 0.6403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7858, scimark_benchmark: 1825.8666, usercpu_time_millis: 4453.22, usercpu_time_millis_testing: 3.013, usercpu_time_millis_training: 4450.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8138, kappa: 0.6245, kb_relative_information_score: 1582.4276, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.814, predictive_accuracy: 0.8142, prior_entropy: 0.9948, recall: 0.8142, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7527, scimark_benchmark: 1746.692, usercpu_time_millis: 994.303, usercpu_time_millis_testing: 4.217, usercpu_time_millis_training: 990.086,
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: 0.7824, 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: 0.8394, 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: 0.4999, 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: 0.4992, 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: 0.4993, 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: 0.4995, 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: 0.8666, 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: 0.8425, 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: 0.8677, 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: 0.8708, 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: 0.8435, 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: 0.8427, 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: 0.8611, 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: 0.8565, 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: 0.823, 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: 0.7747, 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: 0.7866, 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: 0.8166, 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: 0.7781, 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: 0.8588, 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: 0.8281, 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: 0.7866, 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: 0.8592, 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: 0.7974, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7929, kappa: 0.5822, kb_relative_information_score: 1408.1919, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7845, scimark_benchmark: 1683.6241, usercpu_time_millis: 2248.3, usercpu_time_millis_testing: 3.745, usercpu_time_millis_training: 2244.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 1682.8025, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7515, scimark_benchmark: 1713.6262, usercpu_time_millis: 288.155, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 286.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7366, kappa: 0.4703, kb_relative_information_score: 802.1978, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8744, scimark_benchmark: 1727.044, usercpu_time_millis: 94.954, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 93.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7642, kappa: 0.5241, kb_relative_information_score: 1190.291, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7662, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8214, scimark_benchmark: 1730.591, usercpu_time_millis: 740.474, usercpu_time_millis_testing: 2.102, usercpu_time_millis_training: 738.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7595, kappa: 0.515, kb_relative_information_score: 1377.8223, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8108, scimark_benchmark: 1736.9559, usercpu_time_millis: 739.996, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 739.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 980.5492, mean_absolute_error: 0.386, 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: 0.7775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1727.044, usercpu_time_millis: 103.97, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 103.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.719, kappa: 0.4331, kb_relative_information_score: 577.8276, mean_absolute_error: 0.4352, 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: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9016, scimark_benchmark: 1729.7915, usercpu_time_millis: 31.866, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 30.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8035, kappa: 0.6038, kb_relative_information_score: 1753.4059, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7554, scimark_benchmark: 1706.8723, usercpu_time_millis: 11144.949, usercpu_time_millis_testing: 3.637, usercpu_time_millis_training: 11141.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7769, kappa: 0.5498, kb_relative_information_score: 1422.7913, mean_absolute_error: 0.3246, 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: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.796, scimark_benchmark: 1723.7071, usercpu_time_millis: 11097.214, usercpu_time_millis_testing: 4.19, usercpu_time_millis_training: 11093.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8041, kappa: 0.6047, kb_relative_information_score: 1651.0209, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8045, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7556, scimark_benchmark: 1738.3274, usercpu_time_millis: 9648.949, usercpu_time_millis_testing: 5.839, usercpu_time_millis_training: 9643.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8039, kappa: 0.6046, kb_relative_information_score: 1732.5349, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.755, scimark_benchmark: 1735.5942, usercpu_time_millis: 8788.617, usercpu_time_millis_testing: 3.395, usercpu_time_millis_training: 8785.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.784, kappa: 0.5643, kb_relative_information_score: 1547.8225, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7859, scimark_benchmark: 1758.2591, usercpu_time_millis: 10400.558, usercpu_time_millis_testing: 2.954, usercpu_time_millis_training: 10397.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7837, kappa: 0.5637, kb_relative_information_score: 1468.6683, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1719.8214, usercpu_time_millis: 8280.33, usercpu_time_millis_testing: 3.383, usercpu_time_millis_training: 8276.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7985, kappa: 0.5935, kb_relative_information_score: 1575.7737, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7658, scimark_benchmark: 1723.9214, usercpu_time_millis: 5493.875, usercpu_time_millis_testing: 4.248, usercpu_time_millis_training: 5489.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7839, kappa: 0.5641, kb_relative_information_score: 1447.2098, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7888, scimark_benchmark: 1729.728, usercpu_time_millis: 5337.432, usercpu_time_millis_testing: 2.768, usercpu_time_millis_training: 5334.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7866, kappa: 0.5695, kb_relative_information_score: 1417.7723, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7871, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7906, scimark_benchmark: 1733.6438, usercpu_time_millis: 4745.876, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 4742.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1542.0389, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7704, scimark_benchmark: 1719.9254, usercpu_time_millis: 5193.658, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 5189.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7712, kappa: 0.5382, kb_relative_information_score: 1315.3154, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1718.2275, usercpu_time_millis: 3229.357, usercpu_time_millis_testing: 2.631, usercpu_time_millis_training: 3226.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7822, kappa: 0.5605, kb_relative_information_score: 1409.7576, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.783, prior_entropy: 0.9948, recall: 0.783, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1706.873, usercpu_time_millis: 3658.823, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 3655.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7929, kappa: 0.5822, kb_relative_information_score: 1539.3343, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7742, scimark_benchmark: 749.6125, usercpu_time_millis: 2943.762, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 2940.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1600.4108, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7612, scimark_benchmark: 1757.2691, usercpu_time_millis: 4256.258, usercpu_time_millis_testing: 3.549, usercpu_time_millis_training: 4252.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7886, kappa: 0.5737, kb_relative_information_score: 1497.6679, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7814, scimark_benchmark: 1756.4432, usercpu_time_millis: 4230.231, usercpu_time_millis_testing: 2.285, usercpu_time_millis_training: 4227.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8087, kappa: 0.6142, kb_relative_information_score: 1651.9065, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7528, scimark_benchmark: 2092.6198, usercpu_time_millis: 3096.041, usercpu_time_millis_testing: 3.406, usercpu_time_millis_training: 3092.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8047, kappa: 0.6062, kb_relative_information_score: 1566.9845, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1729.728, usercpu_time_millis: 2947.862, usercpu_time_millis_testing: 4.324, usercpu_time_millis_training: 2943.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7872, kappa: 0.5708, kb_relative_information_score: 1439.3359, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7881, scimark_benchmark: 1720.061, usercpu_time_millis: 2338.661, usercpu_time_millis_testing: 2.852, usercpu_time_millis_training: 2335.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1519.1815, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7717, scimark_benchmark: 1726.5817, usercpu_time_millis: 2508.257, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 2505.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.793, kappa: 0.5824, kb_relative_information_score: 1456.0869, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7936, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7779, scimark_benchmark: 1735.1328, usercpu_time_millis: 1811.231, usercpu_time_millis_testing: 3.499, usercpu_time_millis_training: 1807.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7941, kappa: 0.5847, kb_relative_information_score: 1412.597, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1722.7088, usercpu_time_millis: 2347.337, usercpu_time_millis_testing: 3.137, usercpu_time_millis_training: 2344.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8083, kappa: 0.6133, kb_relative_information_score: 1689.3913, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1751.9777, usercpu_time_millis: 3162.968, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 3161.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8026, kappa: 0.602, kb_relative_information_score: 1790.0931, mean_absolute_error: 0.2723, 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: 0.5486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549, scimark_benchmark: 1742.1343, usercpu_time_millis: 3131.146, usercpu_time_millis_testing: 2.547, usercpu_time_millis_training: 3128.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1625.3443, mean_absolute_error: 0.2975, 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: 0.5992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1724.8648, usercpu_time_millis: 1897.681, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 1896.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7883, kappa: 0.573, kb_relative_information_score: 1377.9756, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7886, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7923, scimark_benchmark: 1725.3223, usercpu_time_millis: 1238.292, usercpu_time_millis_testing: 2.756, usercpu_time_millis_training: 1235.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7463, kappa: 0.489, kb_relative_information_score: 1213.8445, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1714.2313, usercpu_time_millis: 1814.221, usercpu_time_millis_testing: 2.034, usercpu_time_millis_training: 1812.187,

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