OpenML
Supervised Classification on audiology

Supervised Classification on audiology

Task 1771 Supervised Classification audiology 326 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

326 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, build_cpu_time: 1.4981, build_memory: 785638212.8, f_measure: 0.715, kappa: 0.6871, kb_relative_information_score: 693.3806, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7275, predictive_accuracy: 0.7336, prior_entropy: 3.6349, recall: 0.7336, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.7704, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, build_cpu_time: 0.8835, build_memory: 696312016, f_measure: 0.7165, kappa: 0.69, kb_relative_information_score: 697.4079, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7281, predictive_accuracy: 0.7363, prior_entropy: 3.6349, recall: 0.7363, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.7639, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 0.5363, build_memory: 1511927332.8, f_measure: 0.7066, kappa: 0.6787, kb_relative_information_score: 693.8054, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7179, predictive_accuracy: 0.7274, prior_entropy: 3.6349, recall: 0.7274, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.7672, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, build_cpu_time: 0.2709, build_memory: 1173766302.4, f_measure: 0.7206, kappa: 0.698, kb_relative_information_score: 716.3799, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7359, predictive_accuracy: 0.7442, prior_entropy: 3.6349, recall: 0.7442, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.7307, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, build_cpu_time: 0.1484, build_memory: 606097562.4, f_measure: 0.7179, kappa: 0.6954, kb_relative_information_score: 708.9022, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7234, predictive_accuracy: 0.7425, prior_entropy: 3.6349, recall: 0.7425, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.7209, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, build_cpu_time: 0.0009, build_memory: 1127918680, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 305.9473, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, build_cpu_time: 0.001, build_memory: 810511248, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 305.9473, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, build_cpu_time: 0.0013, build_memory: 1762202531.2, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 305.9473, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, build_cpu_time: 0.0026, build_memory: 1222970110.4, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 305.9473, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, build_cpu_time: 0.0031, build_memory: 82032919.2, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 305.9473, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, build_cpu_time: 0.0917, build_memory: 641403108.8, f_measure: 0.6943, kappa: 0.6842, kb_relative_information_score: 635.9818, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6827, predictive_accuracy: 0.7354, prior_entropy: 3.6349, recall: 0.7354, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6894, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, build_cpu_time: 0.1214, build_memory: 794924770.4, f_measure: 0.6943, kappa: 0.6842, kb_relative_information_score: 635.9818, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6827, predictive_accuracy: 0.7354, prior_entropy: 3.6349, recall: 0.7354, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6894, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, build_cpu_time: 0.0755, build_memory: 2440276336.8, f_measure: 0.6943, kappa: 0.6842, kb_relative_information_score: 635.9818, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6827, predictive_accuracy: 0.7354, prior_entropy: 3.6349, recall: 0.7354, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6894, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, build_cpu_time: 0.1138, build_memory: 1757221453.6, f_measure: 0.6943, kappa: 0.6842, kb_relative_information_score: 635.9818, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6827, predictive_accuracy: 0.7354, prior_entropy: 3.6349, recall: 0.7354, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6894, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, build_cpu_time: 0.084, build_memory: 1717970376, f_measure: 0.6943, kappa: 0.6842, kb_relative_information_score: 635.9818, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6827, predictive_accuracy: 0.7354, prior_entropy: 3.6349, recall: 0.7354, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6894, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, build_cpu_time: 0.0137, build_memory: 1284920392, f_measure: 0.6428, kappa: 0.6059, kb_relative_information_score: 632.6014, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6321, predictive_accuracy: 0.6637, prior_entropy: 3.6349, recall: 0.6637, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.8342, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, build_cpu_time: 0.027, build_memory: 1771617578.4, f_measure: 0.6638, kappa: 0.6295, kb_relative_information_score: 656.0526, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6533, predictive_accuracy: 0.6841, prior_entropy: 3.6349, recall: 0.6841, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.8155, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, build_cpu_time: 0.05, build_memory: 2822217656.8, f_measure: 0.6707, kappa: 0.6389, kb_relative_information_score: 660.98, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6581, predictive_accuracy: 0.692, prior_entropy: 3.6349, recall: 0.692, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.8092, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, build_cpu_time: 0.0953, build_memory: 2252229304.8, f_measure: 0.67, kappa: 0.6374, kb_relative_information_score: 658.8256, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.658, predictive_accuracy: 0.6912, prior_entropy: 3.6349, recall: 0.6912, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.814, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, build_cpu_time: 0.1283, build_memory: 738336496, f_measure: 0.6726, kappa: 0.6407, kb_relative_information_score: 662.2858, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6609, predictive_accuracy: 0.6938, prior_entropy: 3.6349, recall: 0.6938, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.153, root_relative_squared_error: 0.8083, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.0204, build_memory: 181792320, f_measure: 0.6216, kappa: 0.5983, kb_relative_information_score: 277.4085, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6167, predictive_accuracy: 0.6646, prior_entropy: 3.6349, recall: 0.6646, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9156, scimark_benchmark: 939.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.0119, build_memory: 409388496.8, f_measure: 0.6216, kappa: 0.5983, kb_relative_information_score: 277.4085, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6167, predictive_accuracy: 0.6646, prior_entropy: 3.6349, recall: 0.6646, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9156, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.0118, build_memory: 810927262.4, f_measure: 0.6216, kappa: 0.5983, kb_relative_information_score: 277.4085, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6167, predictive_accuracy: 0.6646, prior_entropy: 3.6349, recall: 0.6646, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9156, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.0116, build_memory: 157406640, f_measure: 0.6216, kappa: 0.5983, kb_relative_information_score: 277.4085, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6167, predictive_accuracy: 0.6646, prior_entropy: 3.6349, recall: 0.6646, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9156, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.0109, build_memory: 846877876.8, f_measure: 0.6216, kappa: 0.5983, kb_relative_information_score: 277.4085, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6167, predictive_accuracy: 0.6646, prior_entropy: 3.6349, recall: 0.6646, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9156, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 3.2057, build_memory: 736877409.6, f_measure: 0.738, kappa: 0.7218, kb_relative_information_score: 280.4008, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7336, predictive_accuracy: 0.7637, prior_entropy: 3.6349, recall: 0.7637, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.9464, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, build_cpu_time: 5.4546, build_memory: 898997696.8, f_measure: 0.7375, kappa: 0.722, kb_relative_information_score: 280.2076, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.731, predictive_accuracy: 0.7637, prior_entropy: 3.6349, recall: 0.7637, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.9478, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, build_cpu_time: 9.8975, build_memory: 1090431324, f_measure: 0.7344, kappa: 0.7171, kb_relative_information_score: 274.7091, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7279, predictive_accuracy: 0.7593, prior_entropy: 3.6349, recall: 0.7593, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.9539, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.1016, kb_relative_information_score: 5.0063, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1896, root_relative_squared_error: 1.0014, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.6572, kappa: 0.6489, kb_relative_information_score: 627.6573, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6374, predictive_accuracy: 0.7044, prior_entropy: 3.6349, recall: 0.7044, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.829, scimark_benchmark: 1028.5889, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 305.9473, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.708, kappa: 0.6865, kb_relative_information_score: 702.7072, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6952, predictive_accuracy: 0.7319, prior_entropy: 3.6349, recall: 0.7319, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7025, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.2688, kappa: 0.1846, kb_relative_information_score: 204.4742, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5849, predictive_accuracy: 0.2805, prior_entropy: 3.6349, recall: 0.2805, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2449, root_relative_squared_error: 1.2934, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.6208, kappa: 0.5874, kb_relative_information_score: 600.2567, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6116, predictive_accuracy: 0.6513, prior_entropy: 3.6349, recall: 0.6513, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9004, scimark_benchmark: 1315.395, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.6716, kappa: 0.6558, kb_relative_information_score: 650.503, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6507, predictive_accuracy: 0.7097, prior_entropy: 3.6349, recall: 0.7097, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.7273, scimark_benchmark: 1327.6929, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.6352, kappa: 0.6098, kb_relative_information_score: 635.2531, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6483, predictive_accuracy: 0.6717, prior_entropy: 3.6349, recall: 0.6717, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.7495, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.5395, kappa: 0.4782, kb_relative_information_score: 514.3608, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5403, predictive_accuracy: 0.5513, prior_entropy: 3.6349, recall: 0.5513, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.9723, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.714, kappa: 0.7073, kb_relative_information_score: 636.8399, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7013, predictive_accuracy: 0.754, prior_entropy: 3.6349, recall: 0.754, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.6873, scimark_benchmark: 1298.285, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.6536, kappa: 0.6472, kb_relative_information_score: 633.5969, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6263, predictive_accuracy: 0.7018, prior_entropy: 3.6349, recall: 0.7018, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.7963, scimark_benchmark: 1066.7184, usercpu_time_millis: 14380, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 13370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.751, kappa: 0.7337, kb_relative_information_score: 747.5782, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7405, predictive_accuracy: 0.7735, prior_entropy: 3.6349, recall: 0.7735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.7258, scimark_benchmark: 1386.5717, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.7749, kappa: 0.7476, kb_relative_information_score: 775.3215, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7732, predictive_accuracy: 0.785, prior_entropy: 3.6349, recall: 0.785, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.6292, scimark_benchmark: 1318.1432, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.7419, kappa: 0.726, kb_relative_information_score: 90.4875, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7347, predictive_accuracy: 0.7673, prior_entropy: 3.6349, recall: 0.7673, relative_absolute_error: 1.0595, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1935, root_relative_squared_error: 1.0219, scimark_benchmark: 1321.527, usercpu_time_millis: 1070, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.1577, kappa: 0.0532, kb_relative_information_score: 52.1355, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.1364, predictive_accuracy: 0.2876, prior_entropy: 3.6349, recall: 0.2876, relative_absolute_error: 1.0686, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1952, root_relative_squared_error: 1.031, scimark_benchmark: 876.0664, usercpu_time_millis: 1180, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.551, kappa: 0.5226, kb_relative_information_score: 600.0229, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.567, predictive_accuracy: 0.6035, prior_entropy: 3.6349, recall: 0.6035, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.7757, scimark_benchmark: 937.6212, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.4726, kappa: 0.4438, kb_relative_information_score: 557.6563, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5139, predictive_accuracy: 0.5425, prior_entropy: 3.6349, recall: 0.5425, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.8039, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.7242, kappa: 0.7063, kb_relative_information_score: 744.4494, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7105, predictive_accuracy: 0.7487, prior_entropy: 3.6349, recall: 0.7487, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.6774, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.6649, kappa: 0.6424, kb_relative_information_score: 612.1909, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6627, predictive_accuracy: 0.7, prior_entropy: 3.6349, recall: 0.7, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.7217, scimark_benchmark: 882.7843, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.7797, kappa: 0.7589, kb_relative_information_score: 795.4534, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7738, predictive_accuracy: 0.7947, prior_entropy: 3.6349, recall: 0.7947, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.6171, scimark_benchmark: 925.4974, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.7883, kappa: 0.7658, kb_relative_information_score: 807.2868, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7861, predictive_accuracy: 0.8, prior_entropy: 3.6349, recall: 0.8, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6309, scimark_benchmark: 1335.4072, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.7894, kappa: 0.7653, kb_relative_information_score: 804.5752, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7873, predictive_accuracy: 0.7991, prior_entropy: 3.6349, recall: 0.7991, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.657, scimark_benchmark: 938.9967, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.6244, kappa: 0.6077, kb_relative_information_score: 511.7907, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.614, predictive_accuracy: 0.6743, prior_entropy: 3.6349, recall: 0.6743, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.7835, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.6311, kappa: 0.6187, kb_relative_information_score: 508.6696, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6029, predictive_accuracy: 0.6841, prior_entropy: 3.6349, recall: 0.6841, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.7836, scimark_benchmark: 938.9967, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.5662, kappa: 0.5568, kb_relative_information_score: 554.291, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5479, predictive_accuracy: 0.6372, prior_entropy: 3.6349, recall: 0.6372, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.8228, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.4832, kappa: 0.4168, kb_relative_information_score: 190.4839, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6088, predictive_accuracy: 0.4681, prior_entropy: 3.6349, recall: 0.4681, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1914, root_relative_squared_error: 1.0109, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6611, kappa: 0.6537, kb_relative_information_score: 644.6339, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6454, predictive_accuracy: 0.7106, prior_entropy: 3.6349, recall: 0.7106, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.7369, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.6479, kappa: 0.6238, kb_relative_information_score: 600.62, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6427, predictive_accuracy: 0.685, prior_entropy: 3.6349, recall: 0.685, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7323, scimark_benchmark: 1323.976, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.6654, kappa: 0.6569, kb_relative_information_score: 619.4132, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.639, predictive_accuracy: 0.7142, prior_entropy: 3.6349, recall: 0.7142, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7125, scimark_benchmark: 1331.1784, usercpu_time_millis: 790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.6756, kappa: 0.6616, kb_relative_information_score: 690.0209, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6556, predictive_accuracy: 0.7177, prior_entropy: 3.6349, recall: 0.7177, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.7145, scimark_benchmark: 1326.6565, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.6916, kappa: 0.6553, kb_relative_information_score: 676.2035, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6871, predictive_accuracy: 0.7053, prior_entropy: 3.6349, recall: 0.7053, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.7191, scimark_benchmark: 1326.6647, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.6916, kappa: 0.6553, kb_relative_information_score: 676.2035, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6871, predictive_accuracy: 0.7053, prior_entropy: 3.6349, recall: 0.7053, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.7191, scimark_benchmark: 1345.1228, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.5876, kappa: 0.5598, kb_relative_information_score: 296.9507, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5694, predictive_accuracy: 0.6327, prior_entropy: 3.6349, recall: 0.6327, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.8772, scimark_benchmark: 1341.994, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 292.3837, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.6505, kappa: 0.6212, kb_relative_information_score: 647.0003, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6627, predictive_accuracy: 0.6796, prior_entropy: 3.6349, recall: 0.6796, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.8631, scimark_benchmark: 1419.2433, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6927, kappa: 0.6711, kb_relative_information_score: 659.5862, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6941, predictive_accuracy: 0.7221, prior_entropy: 3.6349, recall: 0.7221, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.7204, scimark_benchmark: 1342.5243, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.7164, kappa: 0.683, kb_relative_information_score: 718.9427, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7256, predictive_accuracy: 0.7257, prior_entropy: 3.6349, recall: 0.7257, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.7755, scimark_benchmark: 1386.5717, usercpu_time_millis: 17800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.3802, kappa: 0.3442, kb_relative_information_score: 177.8687, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.3416, predictive_accuracy: 0.4814, prior_entropy: 3.6349, recall: 0.4814, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.911, scimark_benchmark: 1334.9657, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.5662, kappa: 0.5568, kb_relative_information_score: 554.291, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5479, predictive_accuracy: 0.6372, prior_entropy: 3.6349, recall: 0.6372, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.8228, scimark_benchmark: 1301.9176, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.5662, kappa: 0.5568, kb_relative_information_score: 554.291, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5479, predictive_accuracy: 0.6372, prior_entropy: 3.6349, recall: 0.6372, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.8228, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.5035, kappa: 0.4379, kb_relative_information_score: 495.1948, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.4968, predictive_accuracy: 0.5212, prior_entropy: 3.6349, recall: 0.5212, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.9922, scimark_benchmark: 1386.5717, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.5035, kappa: 0.4379, kb_relative_information_score: 495.1948, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.4968, predictive_accuracy: 0.5212, prior_entropy: 3.6349, recall: 0.5212, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.9922, scimark_benchmark: 1315.3709, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1313.9606, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1648, kappa: 0.062, kb_relative_information_score: 164.1733, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2289, predictive_accuracy: 0.2929, prior_entropy: 3.6349, recall: 0.2929, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2427, root_relative_squared_error: 1.2823, scimark_benchmark: 1248.0234, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.6595, kappa: 0.6485, kb_relative_information_score: 612.2383, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.656, predictive_accuracy: 0.7071, prior_entropy: 3.6349, recall: 0.7071, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.7203, scimark_benchmark: 1337.6765, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.6665, kappa: 0.6553, kb_relative_information_score: 613.6976, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6481, predictive_accuracy: 0.7124, prior_entropy: 3.6349, recall: 0.7124, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.7165, scimark_benchmark: 1307.3764, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.7875, kappa: 0.762, kb_relative_information_score: 794.4213, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7878, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.6772, scimark_benchmark: 1339.8573, usercpu_time_millis: 880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.7749, kappa: 0.7476, kb_relative_information_score: 775.3215, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7732, predictive_accuracy: 0.785, prior_entropy: 3.6349, recall: 0.785, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.6292, scimark_benchmark: 1314.0383, usercpu_time_millis: 3140, usercpu_time_millis_training: 3140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.6068, kappa: 0.5815, kb_relative_information_score: 557.3677, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5854, predictive_accuracy: 0.6522, prior_entropy: 3.6349, recall: 0.6522, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.8039, scimark_benchmark: 1301.2156, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.5787, kappa: 0.5592, kb_relative_information_score: 39.1238, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6067, predictive_accuracy: 0.6407, prior_entropy: 3.6349, recall: 0.6407, relative_absolute_error: 1.0936, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1986, root_relative_squared_error: 1.0492, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.1016, kb_relative_information_score: 5.0063, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1896, root_relative_squared_error: 1.0014, scimark_benchmark: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.5878, kappa: 0.5821, kb_relative_information_score: 570.7074, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.5511, predictive_accuracy: 0.6549, prior_entropy: 3.6349, recall: 0.6549, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.153, root_relative_squared_error: 0.8082, scimark_benchmark: 1314.9535, usercpu_time_millis: 84340, usercpu_time_millis_testing: 84330, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.6273, kappa: 0.6133, kb_relative_information_score: 506.7074, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6057, predictive_accuracy: 0.6814, prior_entropy: 3.6349, recall: 0.6814, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.7849, scimark_benchmark: 1261.7298, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 1319.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.7606, kappa: 0.7422, kb_relative_information_score: 765.5023, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7633, predictive_accuracy: 0.7814, prior_entropy: 3.6349, recall: 0.7814, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.706, scimark_benchmark: 1308.3432, usercpu_time_millis: 1830, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.6491, kappa: 0.6435, kb_relative_information_score: 512.2822, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6215, predictive_accuracy: 0.7053, prior_entropy: 3.6349, recall: 0.7053, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.7787, scimark_benchmark: 1337.0272, usercpu_time_millis: 410, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.7428, kappa: 0.7299, kb_relative_information_score: 753.4626, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7324, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.6643, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.794, kappa: 0.7704, kb_relative_information_score: 813.3221, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7935, predictive_accuracy: 0.8035, prior_entropy: 3.6349, recall: 0.8035, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.6134, scimark_benchmark: 1322.4968, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 1349.1028, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.7024, kappa: 0.6794, kb_relative_information_score: 710.8712, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6936, predictive_accuracy: 0.7274, prior_entropy: 3.6349, recall: 0.7274, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.7057, scimark_benchmark: 1342.4239, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 1249.4068, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.6449, kappa: 0.6366, kb_relative_information_score: 506.9996, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6223, predictive_accuracy: 0.7, prior_entropy: 3.6349, recall: 0.7, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.7829, scimark_benchmark: 1345.7582, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.6916, kappa: 0.6553, kb_relative_information_score: 676.2035, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6871, predictive_accuracy: 0.7053, prior_entropy: 3.6349, recall: 0.7053, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.7191, scimark_benchmark: 1327.2954, usercpu_time_millis: 350, usercpu_time_millis_training: 350,

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