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Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 145847 Supervised Classification hill-valley 92422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.5865, kappa: 0.1733, kb_relative_information_score: 127.7626, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5868, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0132, scimark_benchmark: 1387.5592, usercpu_time_millis: 386.698, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 385.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.5956, kappa: 0.1914, kb_relative_information_score: 119.4982, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5959, predictive_accuracy: 0.5957, prior_entropy: 1, recall: 0.5957, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1377.1552, usercpu_time_millis: 301.46, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 299.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 94.7184, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1380.1485, usercpu_time_millis: 310.104, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 308.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5137, kappa: 0.0314, kb_relative_information_score: 10.8646, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5159, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987, scimark_benchmark: 1375.7503, usercpu_time_millis: 29.117, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 28.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.5152, kappa: 0.0347, kb_relative_information_score: 9.0489, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5176, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1376.7319, usercpu_time_millis: 16.844, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 16.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.5787, kappa: 0.1584, kb_relative_information_score: 104.8407, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5796, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1375.0576, usercpu_time_millis: 35.049, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 34.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.5383, kappa: 0.0776, kb_relative_information_score: 55.6985, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1368.3887, usercpu_time_millis: 28.443, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 28.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.5879, kappa: 0.1766, kb_relative_information_score: 98.1498, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5886, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1372.755, usercpu_time_millis: 111.327, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 110.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.5816, kappa: 0.1634, kb_relative_information_score: 85.6314, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5817, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 1382.1094, usercpu_time_millis: 290.298, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 289.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.5231, kappa: 0.0479, kb_relative_information_score: 5.1006, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5241, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1374.3591, usercpu_time_millis: 2.238, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.012, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1380.335, usercpu_time_millis: 1.928, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.5717, kappa: 0.1436, kb_relative_information_score: 81.6565, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5719, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1374.434, usercpu_time_millis: 116.453, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 115.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5, kb_relative_information_score: -0.003, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1377.341, usercpu_time_millis: 2.11, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5336, kappa: 0.0693, kb_relative_information_score: 30.7487, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.535, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1377.8448, usercpu_time_millis: 94.98, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 94.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5715, kappa: 0.1436, kb_relative_information_score: 86.6137, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5719, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1378.4657, usercpu_time_millis: 141.114, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 140.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 73.9465, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9911, scimark_benchmark: 1383.9261, usercpu_time_millis: 92.89, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 92.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.5708, kappa: 0.1419, kb_relative_information_score: 63.8054, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5711, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1380.1929, usercpu_time_millis: 26.719, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 26.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.5127, kappa: 0.0297, kb_relative_information_score: 12.3289, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5151, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1379.4269, usercpu_time_millis: 109.149, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 108.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.546, kappa: 0.0941, kb_relative_information_score: 32.0065, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5475, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9919, scimark_benchmark: 1381.9552, usercpu_time_millis: 55.663, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 55.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0242, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1372.844, usercpu_time_millis: 1.327, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5154, kappa: 0.0314, kb_relative_information_score: 2.862, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5157, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0013, scimark_benchmark: 1375.7263, usercpu_time_millis: 8.744, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 8.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5642, kappa: 0.1287, kb_relative_information_score: 59.5649, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1374.6817, usercpu_time_millis: 80.139, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 79.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0074, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1379.633, usercpu_time_millis: 1.503, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.5147, kappa: 0.0347, kb_relative_information_score: 11.3376, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5177, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1376.6737, usercpu_time_millis: 49.542, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 48.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 68.6599, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5767, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1368.348, usercpu_time_millis: 172.868, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 171.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: -0.0027, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1383.5067, usercpu_time_millis: 2.237, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 1.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5854, kappa: 0.1716, kb_relative_information_score: 113.3659, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5861, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9983, scimark_benchmark: 1372.9481, usercpu_time_millis: 572.376, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 571.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.5111, kappa: 0.0264, kb_relative_information_score: 11.5499, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5134, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1376.9747, usercpu_time_millis: 9.603, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 9.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0205, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1377.3911, usercpu_time_millis: 1.122, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.584, kappa: 0.1683, kb_relative_information_score: 97.7548, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5843, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, scimark_benchmark: 1373.3244, usercpu_time_millis: 528.407, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 527.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.5891, kappa: 0.1782, kb_relative_information_score: 105.1808, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5891, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1380.9769, usercpu_time_millis: 201.218, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 199.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.5139, kappa: 0.0281, kb_relative_information_score: 1.9065, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.514, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 1378.573, usercpu_time_millis: 4.954, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 4.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.5281, kappa: 0.0594, kb_relative_information_score: 16.7782, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5301, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1374.4334, usercpu_time_millis: 18.28, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 18.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 86.3663, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5825, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9919, scimark_benchmark: 1355.2497, usercpu_time_millis: 68.098, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 67.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.5947, kappa: 0.1898, kb_relative_information_score: 118.6739, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.595, predictive_accuracy: 0.5949, prior_entropy: 1, recall: 0.5949, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9908, scimark_benchmark: 1374.0532, usercpu_time_millis: 154.878, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 153.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5586, kappa: 0.1172, kb_relative_information_score: 55.9864, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5586, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1374.9442, usercpu_time_millis: 2.429, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 2.353,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5292, kappa: 0.0611, kb_relative_information_score: 24.3146, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5309, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9953, scimark_benchmark: 1873.5991, usercpu_time_millis: 17.384, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 17.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5199, kappa: 0.0446, kb_relative_information_score: 11.0401, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5227, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1872.5609, usercpu_time_millis: 10.591, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 10.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.5416, kappa: 0.0875, kb_relative_information_score: 26.6545, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5446, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1755.3998, usercpu_time_millis: 18.64, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 18.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5273, kappa: 0.0561, kb_relative_information_score: 5.3644, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5282, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1871.5019, usercpu_time_millis: 6.369, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 6.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 98.3166, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5635, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0069, scimark_benchmark: 1873.9387, usercpu_time_millis: 2.265, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1869.2422, usercpu_time_millis: 2.277, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0157, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1871.808, usercpu_time_millis: 1.706, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0265, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5236, kappa: 0.0479, kb_relative_information_score: 4.3781, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.524, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1872.0299, usercpu_time_millis: 4.41, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 4.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0043, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.911, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.5344, kappa: 0.0693, kb_relative_information_score: 44.0867, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5347, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0028, scimark_benchmark: 1724.9376, usercpu_time_millis: 2.98, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 2.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 70.6377, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5727, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9897, scimark_benchmark: 1753.8493, usercpu_time_millis: 265.846, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 264.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5436, kappa: 0.0875, kb_relative_information_score: 48.0435, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5438, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 2155.6619, usercpu_time_millis: 137.905, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 137.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5524, f_measure: 0.5276, kappa: 0.0578, kb_relative_information_score: 19.0508, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5292, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1733.4848, usercpu_time_millis: 122.328, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 121.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.5352, kappa: 0.071, kb_relative_information_score: 45.6267, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5356, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1758.1403, usercpu_time_millis: 118.531, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 117.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.5388, kappa: 0.0792, kb_relative_information_score: 36.1024, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5399, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1752.9026, usercpu_time_millis: 81.088, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 80.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.5437, kappa: 0.0875, kb_relative_information_score: 47.8008, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5437, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1754.4193, usercpu_time_millis: 67.232, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 66.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 80.491, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5835, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 1754.6612, usercpu_time_millis: 56.176, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 55.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 80.1069, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1748.6159, usercpu_time_millis: 55.159, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 54.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.5535, kappa: 0.1073, kb_relative_information_score: 54.3841, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5537, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1762.3615, usercpu_time_millis: 55.04, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 54.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5585, kappa: 0.1172, kb_relative_information_score: 55.157, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5586, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1752.5114, usercpu_time_millis: 21.348, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 21.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, f_measure: 0.5088, kappa: 0.0248, kb_relative_information_score: 15.2391, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5127, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 1733.7593, usercpu_time_millis: 18.118, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 17.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.5074, kappa: 0.0198, kb_relative_information_score: 9.0428, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5101, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 2149.6389, usercpu_time_millis: 15.614, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 15.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.5131, kappa: 0.0297, kb_relative_information_score: 25.3704, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5151, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1758.3875, usercpu_time_millis: 17.397, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 17.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0204, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1747.5287, usercpu_time_millis: 1.432, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5, kb_relative_information_score: -0.0133, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1756.2218, usercpu_time_millis: 1.019, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 47.5266, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1741.8787, usercpu_time_millis: 9.148, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 8.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4934, kappa: -0.0033, kb_relative_information_score: -0.0152, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1716.8894, usercpu_time_millis: 1.108, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.4792, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1746.6883, usercpu_time_millis: 1.126, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0427, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.411, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.357,

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