OpenML
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149823 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.6181, kappa: 0.1527, kb_relative_information_score: 149.9014, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.726, predictive_accuracy: 0.6976, prior_entropy: 0.9226, recall: 0.6976, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9147, scimark_benchmark: 1309.4188, usercpu_time_millis: 4.732, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 4.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8689, kappa: 0.7045, kb_relative_information_score: 614.574, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8688, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6574, scimark_benchmark: 1288.8603, usercpu_time_millis: 4.585, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8725, kappa: 0.7123, kb_relative_information_score: 588.7332, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8726, predictive_accuracy: 0.8739, prior_entropy: 0.9226, recall: 0.8739, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6561, scimark_benchmark: 1283.2188, usercpu_time_millis: 5.258, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 5.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.6105, kappa: 0.1372, kb_relative_information_score: 90.3313, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7148, predictive_accuracy: 0.6929, prior_entropy: 0.9226, recall: 0.6929, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9523, scimark_benchmark: 1301.8603, usercpu_time_millis: 5.832, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 5.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.72, kappa: 0.358, kb_relative_information_score: 262.7128, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7574, predictive_accuracy: 0.7507, prior_entropy: 0.9226, recall: 0.7507, relative_absolute_error: 0.7727, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8576, scimark_benchmark: 1302.0107, usercpu_time_millis: 5.251, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 5.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.846, kappa: 0.6502, kb_relative_information_score: 542.3169, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8476, predictive_accuracy: 0.8493, prior_entropy: 0.9226, recall: 0.8493, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7168, scimark_benchmark: 1305.8453, usercpu_time_millis: 7.647, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 7.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.5956, kappa: 0.1123, kb_relative_information_score: 107.9882, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7226, predictive_accuracy: 0.6882, prior_entropy: 0.9226, recall: 0.6882, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9397, scimark_benchmark: 1294.9649, usercpu_time_millis: 5.134, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 5.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8461, kappa: 0.6532, kb_relative_information_score: 561.1597, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8457, predictive_accuracy: 0.8474, prior_entropy: 0.9226, recall: 0.8474, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.694, scimark_benchmark: 1278.5668, usercpu_time_millis: 5.445, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 5.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8468, kappa: 0.6532, kb_relative_information_score: 546.2167, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8473, predictive_accuracy: 0.8493, prior_entropy: 0.9226, recall: 0.8493, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.707, scimark_benchmark: 1293.661, usercpu_time_millis: 6.234, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 6.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7569, kappa: 0.4414, kb_relative_information_score: 311.5406, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.772, predictive_accuracy: 0.7735, prior_entropy: 0.9226, recall: 0.7735, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8374, scimark_benchmark: 1309.9799, usercpu_time_millis: 5.721, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 5.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.5699, kappa: 0.069, kb_relative_information_score: 37.3444, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7305, predictive_accuracy: 0.6787, prior_entropy: 0.9226, recall: 0.6787, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9811, scimark_benchmark: 1310.7231, usercpu_time_millis: 8.958, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 8.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8365, kappa: 0.6317, kb_relative_information_score: 538.407, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.836, predictive_accuracy: 0.8379, prior_entropy: 0.9226, recall: 0.8379, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7072, scimark_benchmark: 1289.8826, usercpu_time_millis: 4.178, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.72, kappa: 0.3596, kb_relative_information_score: 255.909, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7707, predictive_accuracy: 0.7545, prior_entropy: 0.9226, recall: 0.7545, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.857, scimark_benchmark: 1295.1589, usercpu_time_millis: 4.904, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8493, kappa: 0.6594, kb_relative_information_score: 562.714, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8492, predictive_accuracy: 0.8512, prior_entropy: 0.9226, recall: 0.8512, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6896, scimark_benchmark: 1314.5982, usercpu_time_millis: 4.535, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 4.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.723, kappa: 0.3665, kb_relative_information_score: 244.1867, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7758, predictive_accuracy: 0.7573, prior_entropy: 0.9226, recall: 0.7573, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8818, scimark_benchmark: 1308.0528, usercpu_time_millis: 10.587, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 10.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.872, kappa: 0.712, kb_relative_information_score: 581.3217, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8718, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6659, scimark_benchmark: 1303.2817, usercpu_time_millis: 6.516, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 6.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8209, kappa: 0.5961, kb_relative_information_score: 524.1734, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8203, predictive_accuracy: 0.8227, prior_entropy: 0.9226, recall: 0.8227, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.7184, scimark_benchmark: 1296.889, usercpu_time_millis: 4.426, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 2.0504, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9976, scimark_benchmark: 1288.7284, usercpu_time_millis: 8.095, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 7.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8127, kappa: 0.5707, kb_relative_information_score: 406.8625, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8233, predictive_accuracy: 0.8218, prior_entropy: 0.9226, recall: 0.8218, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7674, scimark_benchmark: 1306.2282, usercpu_time_millis: 4.873, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8631, kappa: 0.6911, kb_relative_information_score: 595.6998, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6631, scimark_benchmark: 1298.3517, usercpu_time_millis: 3.43, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8506, kappa: 0.6604, kb_relative_information_score: 458.3662, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8527, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7339, scimark_benchmark: 1311.7893, usercpu_time_millis: 4.672, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8786, kappa: 0.7264, kb_relative_information_score: 585.1181, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8785, predictive_accuracy: 0.8796, prior_entropy: 0.9226, recall: 0.8796, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6561, scimark_benchmark: 1313.1948, usercpu_time_millis: 5.355, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 5.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8109, kappa: 0.5704, kb_relative_information_score: 491.5073, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8117, predictive_accuracy: 0.8152, prior_entropy: 0.9226, recall: 0.8152, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7487, scimark_benchmark: 1313.1056, usercpu_time_millis: 7.126, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 6.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.6395, kappa: 0.1943, kb_relative_information_score: 139.7922, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7402, predictive_accuracy: 0.709, prior_entropy: 0.9226, recall: 0.709, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9353, scimark_benchmark: 1280.9959, usercpu_time_millis: 10.052, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 9.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.5396, kappa: 0.0165, kb_relative_information_score: 9.308, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6658, predictive_accuracy: 0.6654, prior_entropy: 0.9226, recall: 0.6654, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9936, scimark_benchmark: 1287.1047, usercpu_time_millis: 8.361, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 8.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 579.1274, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6684, scimark_benchmark: 1315.0447, usercpu_time_millis: 8.816, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 8.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8069, kappa: 0.557, kb_relative_information_score: 443.3221, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8192, predictive_accuracy: 0.8171, prior_entropy: 0.9226, recall: 0.8171, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7518, scimark_benchmark: 1306.2052, usercpu_time_millis: 4.246, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8751, kappa: 0.719, kb_relative_information_score: 585.1376, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8748, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.314, root_relative_squared_error: 0.664, scimark_benchmark: 1308.3658, usercpu_time_millis: 4.635, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 4.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.87, kappa: 0.7073, kb_relative_information_score: 570.2269, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6705, scimark_benchmark: 1236.1221, usercpu_time_millis: 41.741, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 41.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.87, kappa: 0.7073, kb_relative_information_score: 569.6106, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6707, scimark_benchmark: 1284.7432, usercpu_time_millis: 57.64, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 57.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8692, kappa: 0.7057, kb_relative_information_score: 569.3856, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8689, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6654, scimark_benchmark: 1308.1044, usercpu_time_millis: 5.702, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 5.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8759, kappa: 0.7206, kb_relative_information_score: 591.2991, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8757, predictive_accuracy: 0.8768, prior_entropy: 0.9226, recall: 0.8768, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6621, scimark_benchmark: 1320.1384, usercpu_time_millis: 3.823, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 3.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7328, kappa: 0.3863, kb_relative_information_score: 287.1773, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7618, predictive_accuracy: 0.7583, prior_entropy: 0.9226, recall: 0.7583, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8432, scimark_benchmark: 1298.3926, usercpu_time_millis: 4.916, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 4.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8641, kappa: 0.692, kb_relative_information_score: 598.6838, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.865, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6608, scimark_benchmark: 1286.1756, usercpu_time_millis: 4.949, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8095, kappa: 0.5629, kb_relative_information_score: 437.3715, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8231, predictive_accuracy: 0.8199, prior_entropy: 0.9226, recall: 0.8199, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7573, scimark_benchmark: 1307.1563, usercpu_time_millis: 4.253, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.166,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7521, kappa: 0.4307, kb_relative_information_score: 310.7212, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7878, predictive_accuracy: 0.7763, prior_entropy: 0.9226, recall: 0.7763, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8496, scimark_benchmark: 1311.0092, usercpu_time_millis: 9.433, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 9.265,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 2.2611, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9979, scimark_benchmark: 1292.2511, usercpu_time_millis: 8.455, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 8.28,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8613, kappa: 0.6872, kb_relative_information_score: 593.205, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6663, scimark_benchmark: 1309.1926, usercpu_time_millis: 3.645, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.872, kappa: 0.712, kb_relative_information_score: 566.4748, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8718, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.671, scimark_benchmark: 1292.7184, usercpu_time_millis: 424.77, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 424.699,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 0.9541, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9979, scimark_benchmark: 1290.3823, usercpu_time_millis: 8.267, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 8.098,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.875, kappa: 0.7186, kb_relative_information_score: 592.5292, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8747, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6494, scimark_benchmark: 1316.0095, usercpu_time_millis: 5.102, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 5.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8838, kappa: 0.7375, kb_relative_information_score: 647.3081, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8843, predictive_accuracy: 0.8853, prior_entropy: 0.9226, recall: 0.8853, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.6255, scimark_benchmark: 1317.1484, usercpu_time_millis: 4.749, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 4.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.6974, kappa: 0.3087, kb_relative_information_score: 231.4965, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7454, predictive_accuracy: 0.7365, prior_entropy: 0.9226, recall: 0.7365, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8728, scimark_benchmark: 1308.973, usercpu_time_millis: 5.822, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 5.716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.6943, kappa: 0.3039, kb_relative_information_score: 204.448, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7543, predictive_accuracy: 0.7374, prior_entropy: 0.9226, recall: 0.7374, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8885, scimark_benchmark: 1281.1262, usercpu_time_millis: 5.002, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8049, kappa: 0.5639, kb_relative_information_score: 479.9376, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.805, predictive_accuracy: 0.8047, prior_entropy: 0.9226, recall: 0.8047, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7588, scimark_benchmark: 1271.0076, usercpu_time_millis: 4.553, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8759, kappa: 0.7206, kb_relative_information_score: 591.3239, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8757, predictive_accuracy: 0.8768, prior_entropy: 0.9226, recall: 0.8768, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6621, scimark_benchmark: 1247.9694, usercpu_time_millis: 4.01, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 3.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 1.2848, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9979, scimark_benchmark: 1314.356, usercpu_time_millis: 7.989, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 7.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8692, kappa: 0.7057, kb_relative_information_score: 576.5314, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8689, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6672, scimark_benchmark: 1279.3822, usercpu_time_millis: 7.336, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 7.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5604, kappa: 0.053, kb_relative_information_score: 25.4098, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7293, predictive_accuracy: 0.6749, prior_entropy: 0.9226, recall: 0.6749, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9851, scimark_benchmark: 1286.4019, usercpu_time_millis: 8.642, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 8.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7238, kappa: 0.366, kb_relative_information_score: 264.1043, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7548, predictive_accuracy: 0.7517, prior_entropy: 0.9226, recall: 0.7517, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8557, scimark_benchmark: 1302.4496, usercpu_time_millis: 5.667, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 5.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.585, kappa: 0.0933, kb_relative_information_score: 63.8532, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7166, predictive_accuracy: 0.6834, prior_entropy: 0.9226, recall: 0.6834, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9694, scimark_benchmark: 1291.506, usercpu_time_millis: 10.186, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 10.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8662, kappa: 0.6987, kb_relative_information_score: 597.4472, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.866, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6622, scimark_benchmark: 1229.0287, usercpu_time_millis: 3.609, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8709, kappa: 0.7092, kb_relative_information_score: 597.1366, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6595, scimark_benchmark: 1236.0031, usercpu_time_millis: 3.257, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.5619, kappa: 0.0546, kb_relative_information_score: 61.7051, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7185, predictive_accuracy: 0.6749, prior_entropy: 0.9226, recall: 0.6749, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9663, scimark_benchmark: 1294.5107, usercpu_time_millis: 5.372, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 5.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8272, kappa: 0.6048, kb_relative_information_score: 516.469, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8347, predictive_accuracy: 0.8341, prior_entropy: 0.9226, recall: 0.8341, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7339, scimark_benchmark: 1306.9505, usercpu_time_millis: 9.087, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 8.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8603, kappa: 0.6849, kb_relative_information_score: 594.5433, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8601, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6646, scimark_benchmark: 1292.3791, usercpu_time_millis: 3.407, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 3.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 578.01, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6678, scimark_benchmark: 1316.7913, usercpu_time_millis: 8.369, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 8.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8244, kappa: 0.5983, kb_relative_information_score: 485.5247, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8314, predictive_accuracy: 0.8313, prior_entropy: 0.9226, recall: 0.8313, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7473, scimark_benchmark: 1320.7443, usercpu_time_millis: 7.744, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 7.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.5876, kappa: 0.0942, kb_relative_information_score: 112.778, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6925, predictive_accuracy: 0.6815, prior_entropy: 0.9226, recall: 0.6815, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9355, scimark_benchmark: 1282.2785, usercpu_time_millis: 4.529, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 569.5014, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6711, scimark_benchmark: 1312.2159, usercpu_time_millis: 98.647, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 98.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8719, kappa: 0.7116, kb_relative_information_score: 566.9336, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6712, scimark_benchmark: 1306.212, usercpu_time_millis: 223.546, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 223.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8181, kappa: 0.5899, kb_relative_information_score: 519.0118, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8175, predictive_accuracy: 0.8199, prior_entropy: 0.9226, recall: 0.8199, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.722, scimark_benchmark: 1308.0713, usercpu_time_millis: 4.133, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8075, kappa: 0.5658, kb_relative_information_score: 486.6936, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8067, predictive_accuracy: 0.8095, prior_entropy: 0.9226, recall: 0.8095, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7464, scimark_benchmark: 1307.9298, usercpu_time_millis: 4.64, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 4.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.831, kappa: 0.6133, kb_relative_information_score: 448.4589, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8392, predictive_accuracy: 0.8379, prior_entropy: 0.9226, recall: 0.8379, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7434, scimark_benchmark: 1314.4474, usercpu_time_millis: 4.053, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8626, kappa: 0.6894, kb_relative_information_score: 610.2062, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6678, scimark_benchmark: 1305.0622, usercpu_time_millis: 5.769, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 5.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.843, kappa: 0.6444, kb_relative_information_score: 542.2151, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8433, predictive_accuracy: 0.8455, prior_entropy: 0.9226, recall: 0.8455, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7114, scimark_benchmark: 1296.2756, usercpu_time_millis: 6.641, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 6.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 582.9115, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6655, scimark_benchmark: 1291.4649, usercpu_time_millis: 6.718, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 6.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.87, kappa: 0.7073, kb_relative_information_score: 567.3742, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6723, scimark_benchmark: 1293.1497, usercpu_time_millis: 422.872, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 422.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.5793, kappa: 0.0827, kb_relative_information_score: 95.5591, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7092, predictive_accuracy: 0.6806, prior_entropy: 0.9226, recall: 0.6806, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9466, scimark_benchmark: 1313.1198, usercpu_time_millis: 4.994, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 4.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.6908, kappa: 0.2938, kb_relative_information_score: 231.1784, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7361, predictive_accuracy: 0.7308, prior_entropy: 0.9226, recall: 0.7308, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8729, scimark_benchmark: 1295.0784, usercpu_time_millis: 5.363, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 5.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8191, kappa: 0.5861, kb_relative_information_score: 471.8109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8265, predictive_accuracy: 0.8265, prior_entropy: 0.9226, recall: 0.8265, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.732, scimark_benchmark: 1317.5655, usercpu_time_millis: 4.374, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8187, kappa: 0.5849, kb_relative_information_score: 474.0704, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8271, predictive_accuracy: 0.8265, prior_entropy: 0.9226, recall: 0.8265, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537, scimark_benchmark: 1292.1838, usercpu_time_millis: 7.99, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 7.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8178, kappa: 0.5971, kb_relative_information_score: 486.5781, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8209, predictive_accuracy: 0.8161, prior_entropy: 0.9226, recall: 0.8161, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7623, scimark_benchmark: 1284.7794, usercpu_time_millis: 5.944, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.6784, kappa: 0.2704, kb_relative_information_score: 187.5999, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7464, predictive_accuracy: 0.728, prior_entropy: 0.9226, recall: 0.728, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8981, scimark_benchmark: 1291.2494, usercpu_time_millis: 4.845, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8244, kappa: 0.5983, kb_relative_information_score: 484.4383, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8314, predictive_accuracy: 0.8313, prior_entropy: 0.9226, recall: 0.8313, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7471, scimark_benchmark: 1277.5717, usercpu_time_millis: 7.907, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 7.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5644, kappa: 0.0602, kb_relative_information_score: 30.5524, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7352, predictive_accuracy: 0.6768, prior_entropy: 0.9226, recall: 0.6768, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9855, scimark_benchmark: 1306.6449, usercpu_time_millis: 8.006, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 7.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8582, kappa: 0.6801, kb_relative_information_score: 584.7846, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8581, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6726, scimark_benchmark: 1294.0749, usercpu_time_millis: 3.461, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.38,

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