Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8677, kappa: 0.2818, kb_relative_information_score: 125.4247, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8953, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.8053, scimark_benchmark: 1120.3185, usercpu_time_millis: 34.422, usercpu_time_millis_testing: 2.898, usercpu_time_millis_training: 31.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8923, kappa: 0.4381, kb_relative_information_score: 314.5819, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8986, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.7556, scimark_benchmark: 966.3658, usercpu_time_millis: 58.11, usercpu_time_millis_testing: 3.132, usercpu_time_millis_training: 54.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8749, kappa: 0.3305, kb_relative_information_score: 209.1215, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8889, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7904, scimark_benchmark: 1049.3043, usercpu_time_millis: 59.743, usercpu_time_millis_testing: 5.29, usercpu_time_millis_training: 54.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8883, kappa: 0.4216, kb_relative_information_score: 331.8422, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.7644, scimark_benchmark: 996.7135, usercpu_time_millis: 9.105, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 8.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8855, kappa: 0.3976, kb_relative_information_score: 255.4929, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8933, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.7823, scimark_benchmark: 1028.8433, usercpu_time_millis: 86.013, usercpu_time_millis_testing: 7.195, usercpu_time_millis_training: 78.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8208, kb_relative_information_score: -149.4264, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.905, scimark_benchmark: 1160.2683, usercpu_time_millis: 12.409, usercpu_time_millis_testing: 1.384, usercpu_time_millis_training: 11.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8208, kb_relative_information_score: -153.6946, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9138, scimark_benchmark: 956.0955, usercpu_time_millis: 21.098, usercpu_time_millis_testing: 2.391, usercpu_time_millis_training: 18.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8943, kappa: 0.451, kb_relative_information_score: 350.2461, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.899, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.7512, scimark_benchmark: 1069.261, usercpu_time_millis: 58.187, usercpu_time_millis_testing: 4.047, usercpu_time_millis_training: 54.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8473, kappa: 0.1592, kb_relative_information_score: 37.3286, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8848, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.8378, scimark_benchmark: 1080.0518, usercpu_time_millis: 38.056, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 35.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8948, kappa: 0.4534, kb_relative_information_score: 331.0112, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9002, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.247, root_relative_squared_error: 0.7546, scimark_benchmark: 1185.6806, usercpu_time_millis: 92.282, usercpu_time_millis_testing: 5.677, usercpu_time_millis_training: 86.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8208, kb_relative_information_score: -129.4148, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.8998, scimark_benchmark: 825.8483, usercpu_time_millis: 20.737, usercpu_time_millis_testing: 2.317, usercpu_time_millis_training: 18.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8881, kappa: 0.4153, kb_relative_information_score: 300.2643, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8933, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7716, scimark_benchmark: 1024.6125, usercpu_time_millis: 106.606, usercpu_time_millis_testing: 9.012, usercpu_time_millis_training: 97.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8543, kappa: 0.2006, kb_relative_information_score: 19.8957, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8909, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8357, scimark_benchmark: 1189.5194, usercpu_time_millis: 11.092, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 10.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8817, kappa: 0.3727, kb_relative_information_score: 253.8538, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.7742, scimark_benchmark: 1090.0079, usercpu_time_millis: 56.721, usercpu_time_millis_testing: 3.986, usercpu_time_millis_training: 52.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8994, kappa: 0.488, kb_relative_information_score: 409.5889, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9001, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.7458, scimark_benchmark: 997.0597, usercpu_time_millis: 84.944, usercpu_time_millis_testing: 5.158, usercpu_time_millis_training: 79.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8208, kb_relative_information_score: -47.5693, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.8643, scimark_benchmark: 933.0786, usercpu_time_millis: 25.912, usercpu_time_millis_testing: 2.367, usercpu_time_millis_training: 23.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8208, kb_relative_information_score: -36.603, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.8726, scimark_benchmark: 959.0648, usercpu_time_millis: 28.292, usercpu_time_millis_testing: 2.81, usercpu_time_millis_training: 25.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8322, kappa: 0.0699, kb_relative_information_score: 52.8305, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8561, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.851, scimark_benchmark: 1156.3623, usercpu_time_millis: 37.052, usercpu_time_millis_testing: 3.977, usercpu_time_millis_training: 33.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8208, kb_relative_information_score: -151.3646, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.921, scimark_benchmark: 1064.9455, usercpu_time_millis: 7.743, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 6.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8529, kappa: 0.1925, kb_relative_information_score: 65.2219, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8898, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8285, scimark_benchmark: 914.5607, usercpu_time_millis: 18.815, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 17.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.843, kappa: 0.1336, kb_relative_information_score: 34.8836, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8803, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.8398, scimark_benchmark: 1135.0013, usercpu_time_millis: 37.649, usercpu_time_millis_testing: 3.24, usercpu_time_millis_training: 34.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8574, kappa: 0.2206, kb_relative_information_score: 69.1101, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8868, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8276, scimark_benchmark: 1225.1139, usercpu_time_millis: 3.503, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 3.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8208, kb_relative_information_score: -9.2203, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 1062.1787, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8208, kb_relative_information_score: -63.2445, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.8694, scimark_benchmark: 1139.5385, usercpu_time_millis: 5.109, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 4.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8812, kappa: 0.3685, kb_relative_information_score: 219.6752, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8933, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.7823, scimark_benchmark: 1232.4436, usercpu_time_millis: 30.423, usercpu_time_millis_testing: 2.409, usercpu_time_millis_training: 28.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8225, kappa: 0.0098, kb_relative_information_score: -6.0386, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8933, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.8671, scimark_benchmark: 1247.43, usercpu_time_millis: 34.969, usercpu_time_millis_testing: 3.595, usercpu_time_millis_training: 31.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8208, kb_relative_information_score: -81.7664, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.287, root_relative_squared_error: 0.8767, scimark_benchmark: 957.5313, usercpu_time_millis: 3.343, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 3.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8752, kappa: 0.328, kb_relative_information_score: 166.3531, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8969, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.7963, scimark_benchmark: 1097.2336, usercpu_time_millis: 43.814, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 40.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8579, kappa: 0.2226, kb_relative_information_score: 95.8859, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8903, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.8222, scimark_benchmark: 1166.6196, usercpu_time_millis: 14.157, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 12.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8208, kb_relative_information_score: -175.2342, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9125, scimark_benchmark: 1079.908, usercpu_time_millis: 19.265, usercpu_time_millis_testing: 2.076, usercpu_time_millis_training: 17.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8823, kappa: 0.3787, kb_relative_information_score: 220.1395, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8903, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7881, scimark_benchmark: 1080.7939, usercpu_time_millis: 14.673, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 13.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8731, kappa: 0.3189, kb_relative_information_score: 186.0575, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7877, scimark_benchmark: 1164.5264, usercpu_time_millis: 15.786, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 14.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8908, kappa: 0.4284, kb_relative_information_score: 286.5837, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.898, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7655, scimark_benchmark: 1044.7331, usercpu_time_millis: 30, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 28.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8726, kappa: 0.3192, kb_relative_information_score: 229.1559, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8843, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.257, root_relative_squared_error: 0.785, scimark_benchmark: 1065.6581, usercpu_time_millis: 52.42, usercpu_time_millis_testing: 4.009, usercpu_time_millis_training: 48.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8981, kappa: 0.4795, kb_relative_information_score: 375.5174, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8992, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7541, scimark_benchmark: 954.1103, usercpu_time_millis: 11.607, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 10.69,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8671, kappa: 0.2835, kb_relative_information_score: 181.6104, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8831, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.7952, scimark_benchmark: 1152.2966, usercpu_time_millis: 17.838, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 16.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8695, kappa: 0.2915, kb_relative_information_score: 126.23, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.899, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.265, root_relative_squared_error: 0.8094, scimark_benchmark: 908.097, usercpu_time_millis: 32.375, usercpu_time_millis_testing: 2.103, usercpu_time_millis_training: 30.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8737, kappa: 0.3236, kb_relative_information_score: 187.2039, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8878, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.26, root_relative_squared_error: 0.7941, scimark_benchmark: 912.8978, usercpu_time_millis: 30.222, usercpu_time_millis_testing: 2.026, usercpu_time_millis_training: 28.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8652, kappa: 0.2669, kb_relative_information_score: 109.9308, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8933, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.8148, scimark_benchmark: 995.1926, usercpu_time_millis: 31.149, usercpu_time_millis_testing: 1.76, usercpu_time_millis_training: 29.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8766, kappa: 0.3396, kb_relative_information_score: 213.001, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8917, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.7833, scimark_benchmark: 937.9441, usercpu_time_millis: 57.069, usercpu_time_millis_testing: 3.474, usercpu_time_millis_training: 53.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.833, kappa: 0.0731, kb_relative_information_score: 34.5589, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8725, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.854, scimark_benchmark: 1031.9728, usercpu_time_millis: 47.163, usercpu_time_millis_testing: 4.859, usercpu_time_millis_training: 42.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8208, kb_relative_information_score: -72.6191, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8801, scimark_benchmark: 886.8083, usercpu_time_millis: 6.045, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 5.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8677, kappa: 0.2818, kb_relative_information_score: 143.2384, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8953, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.8039, scimark_benchmark: 1203.4956, usercpu_time_millis: 24.565, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 22.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8828, kappa: 0.3827, kb_relative_information_score: 297.5357, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8899, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.7659, scimark_benchmark: 1002.459, usercpu_time_millis: 25.351, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 23.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.8208, kb_relative_information_score: -1.0076, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 1117.3327, usercpu_time_millis: 1.899, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8704, kappa: 0.2994, kb_relative_information_score: 161.2812, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.893, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7976, scimark_benchmark: 775.3431, usercpu_time_millis: 33.319, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 30.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.876, kappa: 0.3373, kb_relative_information_score: 203.513, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8899, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.788, scimark_benchmark: 934.2751, usercpu_time_millis: 47.211, usercpu_time_millis_testing: 3.337, usercpu_time_millis_training: 43.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8208, kb_relative_information_score: -115.4907, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9105, scimark_benchmark: 1209.159, usercpu_time_millis: 1.142, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8851, kappa: 0.3904, kb_relative_information_score: 223.3707, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8978, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.7775, scimark_benchmark: 787.6629, usercpu_time_millis: 29.717, usercpu_time_millis_testing: 2.333, usercpu_time_millis_training: 27.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8552, kappa: 0.2067, kb_relative_information_score: 78.1984, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.888, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8286, scimark_benchmark: 946.8795, usercpu_time_millis: 34.629, usercpu_time_millis_testing: 2.576, usercpu_time_millis_training: 32.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8741, kappa: 0.3352, kb_relative_information_score: 216.6511, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8783, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.7886, scimark_benchmark: 893.0687, usercpu_time_millis: 1.289, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8941, kappa: 0.452, kb_relative_information_score: 350.0945, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8977, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.7561, scimark_benchmark: 998.7607, usercpu_time_millis: 65.024, usercpu_time_millis_testing: 3.511, usercpu_time_millis_training: 61.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.839, kappa: 0.1091, kb_relative_information_score: 37.0102, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8816, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8442, scimark_benchmark: 1096.3723, usercpu_time_millis: 29.626, usercpu_time_millis_testing: 2.55, usercpu_time_millis_training: 27.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8657, kappa: 0.269, kb_relative_information_score: 104.8471, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.8107, scimark_benchmark: 1200.2895, usercpu_time_millis: 29.357, usercpu_time_millis_testing: 2.732, usercpu_time_millis_training: 26.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.869, kappa: 0.2893, kb_relative_information_score: 119.2016, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8962, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.8019, scimark_benchmark: 827.2263, usercpu_time_millis: 34.366, usercpu_time_millis_testing: 2.533, usercpu_time_millis_training: 31.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8564, kappa: 0.2165, kb_relative_information_score: 108.7898, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8805, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8194, scimark_benchmark: 1120.928, usercpu_time_millis: 24.986, usercpu_time_millis_testing: 2.07, usercpu_time_millis_training: 22.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8795, kappa: 0.3635, kb_relative_information_score: 276.5549, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8868, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.772, scimark_benchmark: 1263.0369, usercpu_time_millis: 77.827, usercpu_time_millis_testing: 5.184, usercpu_time_millis_training: 72.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8772, kappa: 0.3463, kb_relative_information_score: 227.3202, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.7832, scimark_benchmark: 1197.1122, usercpu_time_millis: 45.764, usercpu_time_millis_testing: 3.081, usercpu_time_millis_training: 42.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8944, kappa: 0.45, kb_relative_information_score: 309.4053, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9005, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7574, scimark_benchmark: 1131.1802, usercpu_time_millis: 71.444, usercpu_time_millis_testing: 3.915, usercpu_time_millis_training: 67.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8861, kappa: 0.3984, kb_relative_information_score: 245.2432, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.7734, scimark_benchmark: 1026.1048, usercpu_time_millis: 7.888, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 7.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8208, kb_relative_information_score: -55.0389, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.8823, scimark_benchmark: 1234.9546, usercpu_time_millis: 11.536, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 10.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8686, kappa: 0.29, kb_relative_information_score: 143.0641, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8896, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.8088, scimark_benchmark: 1212.3223, usercpu_time_millis: 11.961, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 11.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8242, kappa: 0.0196, kb_relative_information_score: -14.0481, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8939, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.8696, scimark_benchmark: 1203.7374, usercpu_time_millis: 37.145, usercpu_time_millis_testing: 3.957, usercpu_time_millis_training: 33.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8208, kb_relative_information_score: -100.1811, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.885, scimark_benchmark: 1172.638, usercpu_time_millis: 31.366, usercpu_time_millis_testing: 3.326, usercpu_time_millis_training: 28.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.8208, kb_relative_information_score: -2.8408, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 1064.729, usercpu_time_millis: 3.89, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 3.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8208, kb_relative_information_score: -150.685, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9004, scimark_benchmark: 1223.3305, usercpu_time_millis: 12.02, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 10.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8208, kb_relative_information_score: -46.4516, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8691, scimark_benchmark: 1076.358, usercpu_time_millis: 21.283, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 19.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8833, kappa: 0.3884, kb_relative_information_score: 275.5221, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8881, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.7755, scimark_benchmark: 1054.5617, usercpu_time_millis: 25.451, usercpu_time_millis_testing: 1.528, usercpu_time_millis_training: 23.923,

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