Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.6242, kappa: 0.2805, kb_relative_information_score: 91.8924, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7228, predictive_accuracy: 0.6667, prior_entropy: 0.9913, recall: 0.6667, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9321, scimark_benchmark: 1314.7027, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.6234, kappa: 0.28, kb_relative_information_score: 112.3336, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7252, predictive_accuracy: 0.6667, prior_entropy: 0.9913, recall: 0.6667, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9101, scimark_benchmark: 1306.5891, usercpu_time_millis: 1.347, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 391.678, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6837, scimark_benchmark: 1305.4481, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8055, kappa: 0.605, kb_relative_information_score: 219.4692, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8086, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8241, scimark_benchmark: 1310.2167, usercpu_time_millis: 1.546, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 410.8345, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6783, scimark_benchmark: 1279.2961, usercpu_time_millis: 1.933, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8526, kappa: 0.7043, kb_relative_information_score: 412.2648, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8582, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6782, scimark_benchmark: 1312.1174, usercpu_time_millis: 1.85, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7861, kappa: 0.5815, kb_relative_information_score: 259.578, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.816, predictive_accuracy: 0.787, prior_entropy: 0.9913, recall: 0.787, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7938, scimark_benchmark: 1286.8159, usercpu_time_millis: 2.023, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8421, kappa: 0.6803, kb_relative_information_score: 345.2356, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7084, scimark_benchmark: 1286.8318, usercpu_time_millis: 0.843, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.9287, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1290.0774, usercpu_time_millis: 2.582, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 2.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6547, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1286.1597, usercpu_time_millis: 6.257, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 6.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8143, kappa: 0.6232, kb_relative_information_score: 298.5842, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8234, predictive_accuracy: 0.8174, prior_entropy: 0.9913, recall: 0.8174, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7412, scimark_benchmark: 1288.4201, usercpu_time_millis: 1.298, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8506, kappa: 0.6975, kb_relative_information_score: 380.6479, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8506, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6792, scimark_benchmark: 1311.7007, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 423.487, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6567, scimark_benchmark: 1287.322, usercpu_time_millis: 0.668, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7141, kappa: 0.4341, kb_relative_information_score: 175.7258, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.771, predictive_accuracy: 0.7333, prior_entropy: 0.9913, recall: 0.7333, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8506, scimark_benchmark: 1305.7881, usercpu_time_millis: 1.305, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.6174, kappa: 0.2722, kb_relative_information_score: 91.7322, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7278, predictive_accuracy: 0.6638, prior_entropy: 0.9913, recall: 0.6638, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9317, scimark_benchmark: 1315.1191, usercpu_time_millis: 1.303, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7971, kappa: 0.5892, kb_relative_information_score: 252.0053, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7971, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8123, scimark_benchmark: 1310.8068, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8402, kappa: 0.676, kb_relative_information_score: 366.6417, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8404, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6911, scimark_benchmark: 1311.6658, usercpu_time_millis: 1.656, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8465, kappa: 0.6894, kb_relative_information_score: 380.327, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8466, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6773, scimark_benchmark: 1266.0714, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8548, kappa: 0.7056, kb_relative_information_score: 374.1507, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8549, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6869, scimark_benchmark: 1290.2232, usercpu_time_millis: 1.105, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8228, kappa: 0.6402, kb_relative_information_score: 309.5633, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8271, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7333, scimark_benchmark: 1307.0181, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 389.6155, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6883, scimark_benchmark: 1286.3397, usercpu_time_millis: 0.685, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6031, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1286.6831, usercpu_time_millis: 8.653, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 8.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 392.3512, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6865, scimark_benchmark: 1288.3521, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.7302, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6909, scimark_benchmark: 1287.3813, usercpu_time_millis: 0.717, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.6866, kappa: 0.3792, kb_relative_information_score: 127.8189, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7359, predictive_accuracy: 0.7072, prior_entropy: 0.9913, recall: 0.7072, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8934, scimark_benchmark: 1319.5482, usercpu_time_millis: 0.865, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.4284, kappa: 0.0071, kb_relative_information_score: 26.4689, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5238, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9803, scimark_benchmark: 1299.9351, usercpu_time_millis: 2.764, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8009, kappa: 0.5957, kb_relative_information_score: 220.5629, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8045, predictive_accuracy: 0.8029, prior_entropy: 0.9913, recall: 0.8029, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8089, scimark_benchmark: 1308.3375, usercpu_time_millis: 37.27, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 37.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.2696, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7102, scimark_benchmark: 1319.3463, usercpu_time_millis: 85.539, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 85.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8377, kappa: 0.6716, kb_relative_information_score: 345.7994, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8378, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7054, scimark_benchmark: 1314.5344, usercpu_time_millis: 0.84, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8511, kappa: 0.7027, kb_relative_information_score: 375.3208, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6978, scimark_benchmark: 1305.062, usercpu_time_millis: 0.993, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 404.6413, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6547, scimark_benchmark: 1283.4899, usercpu_time_millis: 1.665, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.62, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1287.9281, usercpu_time_millis: 7.295, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 7.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4689, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1283.2748, usercpu_time_millis: 19.676, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 19.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7703, kappa: 0.5338, kb_relative_information_score: 214.0787, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7773, predictive_accuracy: 0.7739, prior_entropy: 0.9913, recall: 0.7739, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8371, scimark_benchmark: 1313.305, usercpu_time_millis: 1.072, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8698, kappa: 0.7369, kb_relative_information_score: 429.1091, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6384, scimark_benchmark: 1291.777, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8504, kappa: 0.6967, kb_relative_information_score: 337.7748, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8506, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7147, scimark_benchmark: 1314.2931, usercpu_time_millis: 1.242, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.3943, kappa: -0.0087, kb_relative_information_score: 0.997, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.307, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001, scimark_benchmark: 1315.3396, usercpu_time_millis: 2.513, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8627, kappa: 0.7256, kb_relative_information_score: 432.9041, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8718, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6399, scimark_benchmark: 1291.089, usercpu_time_millis: 0.738, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6473, kappa: 0.3117, kb_relative_information_score: 95.4985, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7155, predictive_accuracy: 0.6783, prior_entropy: 0.9913, recall: 0.6783, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9359, scimark_benchmark: 1292.2407, usercpu_time_millis: 1.373, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8555, kappa: 0.7103, kb_relative_information_score: 415.6447, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8617, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6758, scimark_benchmark: 1294.7757, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.7997, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1294.2366, usercpu_time_millis: 2.824, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 2.798,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8372, kappa: 0.6699, kb_relative_information_score: 328.8448, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8375, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7217, scimark_benchmark: 1312.8684, usercpu_time_millis: 0.884, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 422.9554, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6485, scimark_benchmark: 1300.7792, usercpu_time_millis: 1.108, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.854, kappa: 0.7085, kb_relative_information_score: 403.4987, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6624, scimark_benchmark: 1313.4842, usercpu_time_millis: 1.073, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.3986, kappa: -0.0101, kb_relative_information_score: 7.8849, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4181, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9949, scimark_benchmark: 1313.1097, usercpu_time_millis: 2.747, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 2.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.6397, kappa: 0.2964, kb_relative_information_score: 91.3265, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7043, predictive_accuracy: 0.671, prior_entropy: 0.9913, recall: 0.671, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9396, scimark_benchmark: 1287.8329, usercpu_time_millis: 1.278, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8541, kappa: 0.7072, kb_relative_information_score: 411.2529, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8594, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6789, scimark_benchmark: 1311.3481, usercpu_time_millis: 1.846, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1323.9116, usercpu_time_millis: 0.106, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1347.0111, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1325.3631, usercpu_time_millis: 0.136, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1322.1422, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1325.8685, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1341.7986, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1337.205, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1341.4822, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1379.08, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1368.0395, usercpu_time_millis: 0.135, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1325.1472, usercpu_time_millis: 0.132, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7091, kappa: 0.4121, kb_relative_information_score: 212.7436, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7232, predictive_accuracy: 0.7174, prior_entropy: 0.9913, recall: 0.7174, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8577, scimark_benchmark: 1340.7265, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1309.1634, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1322.2668, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1324.1037, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1311.7774, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1342.5133, usercpu_time_millis: 0.118, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1316.5626, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1395.6516, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1347.4618, usercpu_time_millis: 0.148, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1332.5305, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1337.1248, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1320.4908, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1346.834, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.08,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1340.698, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1342.3119, usercpu_time_millis: 0.109, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1330.9937, usercpu_time_millis: 0.104, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.08,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1319.7691, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.075,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8468, kappa: 0.6937, kb_relative_information_score: 381.3331, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8554, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7019, scimark_benchmark: 1315.37, usercpu_time_millis: 0.131, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1308.2109, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1342.8449, usercpu_time_millis: 0.106, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1339.9316, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1306.9002, usercpu_time_millis: 0.106, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1317.6557, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1320.3489, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1306.0243, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.07,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs