OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.5034, kappa: 0.0132, kb_relative_information_score: 16.9337, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5068, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1284.5399, usercpu_time_millis: 100.021, usercpu_time_millis_testing: 2.805, usercpu_time_millis_training: 97.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.5211, kappa: 0.0429, kb_relative_information_score: 3.9873, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0011, scimark_benchmark: 1253.6259, usercpu_time_millis: 2.925, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 2.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.599, kappa: 0.198, kb_relative_information_score: 106.4973, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5991, predictive_accuracy: 0.599, prior_entropy: 1, recall: 0.599, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1258.9717, usercpu_time_millis: 527.247, usercpu_time_millis_testing: 7.983, usercpu_time_millis_training: 519.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.542, kappa: 0.0842, kb_relative_information_score: 51.3047, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5421, predictive_accuracy: 0.5421, prior_entropy: 1, recall: 0.5421, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1287.6168, usercpu_time_millis: 45.017, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 44.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 59.1978, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1272.441, usercpu_time_millis: 604.331, usercpu_time_millis_testing: 5.626, usercpu_time_millis_training: 598.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.5874, kappa: 0.1749, kb_relative_information_score: 97.515, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5875, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9901, scimark_benchmark: 1256.6378, usercpu_time_millis: 589.634, usercpu_time_millis_testing: 8.162, usercpu_time_millis_training: 581.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.533, kappa: 0.066, kb_relative_information_score: 25.8636, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.533, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0084, scimark_benchmark: 1285.4868, usercpu_time_millis: 89.252, usercpu_time_millis_testing: 7.027, usercpu_time_millis_training: 82.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.5238, kappa: 0.0495, kb_relative_information_score: 5.4821, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.525, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0003, scimark_benchmark: 1267.0231, usercpu_time_millis: 45.566, usercpu_time_millis_testing: 1.617, usercpu_time_millis_training: 43.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 81.1337, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.581, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1281.8339, usercpu_time_millis: 308.113, usercpu_time_millis_testing: 4.434, usercpu_time_millis_training: 303.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.5354, kappa: 0.071, kb_relative_information_score: 34.6425, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5355, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0085, scimark_benchmark: 1262.4458, usercpu_time_millis: 67.548, usercpu_time_millis_testing: 4.584, usercpu_time_millis_training: 62.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 57.574, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, scimark_benchmark: 1253.6652, usercpu_time_millis: 36.6, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 35.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 60.9214, mean_absolute_error: 0.4795, 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: 0.9589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1254.3107, usercpu_time_millis: 273.694, usercpu_time_millis_testing: 5.066, usercpu_time_millis_training: 268.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 56.9427, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1285.8403, usercpu_time_millis: 129.496, usercpu_time_millis_testing: 1.333, usercpu_time_millis_training: 128.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 73.2004, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1285.2249, usercpu_time_millis: 222.323, usercpu_time_millis_testing: 4.208, usercpu_time_millis_training: 218.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 77.7193, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5751, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1293.9885, usercpu_time_millis: 201.62, usercpu_time_millis_testing: 3.222, usercpu_time_millis_training: 198.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 73.2913, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1252.0987, usercpu_time_millis: 364.757, usercpu_time_millis_testing: 5.054, usercpu_time_millis_training: 359.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 80.9913, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5833, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1281.2543, usercpu_time_millis: 90.144, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 88.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 53.5966, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1245.7468, usercpu_time_millis: 153.949, usercpu_time_millis_testing: 2.511, usercpu_time_millis_training: 151.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 53.3473, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1249.5947, usercpu_time_millis: 61.359, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 59.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.5199, kappa: 0.0446, kb_relative_information_score: 9.9164, mean_absolute_error: 0.4969, 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: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1252.5316, usercpu_time_millis: 57.315, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 55.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5174, kappa: 0.0396, kb_relative_information_score: 8.8879, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5202, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999, scimark_benchmark: 1283.3799, usercpu_time_millis: 53.442, usercpu_time_millis_testing: 2.809, usercpu_time_millis_training: 50.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.5965, kappa: 0.1931, kb_relative_information_score: 98.1571, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5966, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1280.7291, usercpu_time_millis: 358.992, usercpu_time_millis_testing: 13.106, usercpu_time_millis_training: 345.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: 0.0037, 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: 1247.045, usercpu_time_millis: 4.239, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 3.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5191, kappa: 0.0396, kb_relative_information_score: 20.8545, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5199, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0081, scimark_benchmark: 1210.6167, usercpu_time_millis: 6.666, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 5.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.5296, kappa: 0.0611, kb_relative_information_score: 31.3749, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5308, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1284.5671, usercpu_time_millis: 39.828, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 38.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5102, kappa: 0.0248, kb_relative_information_score: 16.412, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5126, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1248.3573, usercpu_time_millis: 52.654, usercpu_time_millis_testing: 1.606, usercpu_time_millis_training: 51.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5, kb_relative_information_score: 0.0016, 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: 1279.8843, usercpu_time_millis: 12.568, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 11.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 68.1582, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1282.1653, usercpu_time_millis: 35.63, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 34.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.494, kappa: -0.0033, kb_relative_information_score: 9.4248, mean_absolute_error: 0.4967, 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: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.005, scimark_benchmark: 1280.3843, usercpu_time_millis: 31.427, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 28.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, f_measure: 0.5255, kappa: 0.0528, kb_relative_information_score: 30.6462, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5266, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1285.382, usercpu_time_millis: 111.405, usercpu_time_millis_testing: 3.002, usercpu_time_millis_training: 108.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.5311, kappa: 0.0627, kb_relative_information_score: 34.8062, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5314, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1279.527, usercpu_time_millis: 185.067, usercpu_time_millis_testing: 3.731, usercpu_time_millis_training: 181.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5194, kappa: 0.0429, kb_relative_information_score: 20.1839, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5218, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1283.5525, usercpu_time_millis: 71.682, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 70.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, f_measure: 0.5428, kappa: 0.0858, kb_relative_information_score: 44.1857, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.543, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1259.195, usercpu_time_millis: 94.707, usercpu_time_millis_testing: 2.536, usercpu_time_millis_training: 92.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.527, kappa: 0.0545, kb_relative_information_score: 33.6127, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5273, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987, scimark_benchmark: 1263.8729, usercpu_time_millis: 182.001, usercpu_time_millis_testing: 3.83, usercpu_time_millis_training: 178.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.5313, kappa: 0.0627, kb_relative_information_score: 38.1221, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5314, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1244.1509, usercpu_time_millis: 165.108, usercpu_time_millis_testing: 4.601, usercpu_time_millis_training: 160.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5232, kappa: 0.0479, kb_relative_information_score: 3.8519, mean_absolute_error: 0.4989, 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: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1276.4962, usercpu_time_millis: 19.263, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 18.278,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.537, kappa: 0.0743, kb_relative_information_score: 33.9792, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5372, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0043, scimark_benchmark: 1256.2969, usercpu_time_millis: 89.19, usercpu_time_millis_testing: 5.261, usercpu_time_millis_training: 83.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5237, kappa: 0.0495, kb_relative_information_score: 10.4485, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.525, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1283.4301, usercpu_time_millis: 82.532, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 80.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.5205, kappa: 0.0429, kb_relative_information_score: 6.1885, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5216, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1276.1589, usercpu_time_millis: 6.114, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 5.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5717, kappa: 0.1436, kb_relative_information_score: 85.104, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5718, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9949, scimark_benchmark: 1247.2413, usercpu_time_millis: 357.428, usercpu_time_millis_testing: 4.06, usercpu_time_millis_training: 353.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.569, kappa: 0.1386, kb_relative_information_score: 64.8623, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5695, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9907, scimark_benchmark: 1247.0721, usercpu_time_millis: 360.916, usercpu_time_millis_testing: 7.178, usercpu_time_millis_training: 353.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0094, 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: 1282.2806, usercpu_time_millis: 9.694, usercpu_time_millis_testing: 1.796, usercpu_time_millis_training: 7.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5526, kappa: 0.1056, kb_relative_information_score: 45.4895, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5529, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1274.6441, usercpu_time_millis: 18.81, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 18.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.5208, kappa: 0.0429, kb_relative_information_score: 3.9733, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5216, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1275.5913, usercpu_time_millis: 3.096, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 2.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 49.0666, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1245.9769, usercpu_time_millis: 130.945, usercpu_time_millis_testing: 6.016, usercpu_time_millis_training: 124.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.593, kappa: 0.1865, kb_relative_information_score: 91.6141, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5935, predictive_accuracy: 0.5932, prior_entropy: 1, recall: 0.5932, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 1278.1411, usercpu_time_millis: 138.217, usercpu_time_millis_testing: 2.38, usercpu_time_millis_training: 135.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 88.0156, mean_absolute_error: 0.469, 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: 0.938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0093, scimark_benchmark: 1281.0282, usercpu_time_millis: 7.802, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 7.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5874, kappa: 0.1749, kb_relative_information_score: 74.0356, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5875, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1251.5054, usercpu_time_millis: 23.846, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 23.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 61.5337, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1239.7411, usercpu_time_millis: 118.477, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 116.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5477, kappa: 0.0957, kb_relative_information_score: 40.8267, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5479, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1281.9323, usercpu_time_millis: 135.265, usercpu_time_millis_testing: 2.402, usercpu_time_millis_training: 132.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.5233, kappa: 0.0495, kb_relative_information_score: 20.2545, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5251, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1248.4577, usercpu_time_millis: 17.434, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 17.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.5245, kappa: 0.0528, kb_relative_information_score: 22.9391, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5268, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1278.1473, usercpu_time_millis: 24.063, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 23.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.5259, kappa: 0.0545, kb_relative_information_score: 31.069, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5275, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1248.4608, usercpu_time_millis: 202.439, usercpu_time_millis_testing: 2.695, usercpu_time_millis_training: 199.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 83.4627, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5751, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1230.5249, usercpu_time_millis: 281.612, usercpu_time_millis_testing: 6.261, usercpu_time_millis_training: 275.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, f_measure: 0.5103, kappa: 0.0264, kb_relative_information_score: 11.7975, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5135, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987, scimark_benchmark: 1245.7378, usercpu_time_millis: 59.37, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 57.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.4948, kappa: -0.005, kb_relative_information_score: 14.1822, mean_absolute_error: 0.4952, 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: 0.9905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1250.7178, usercpu_time_millis: 77.188, usercpu_time_millis_testing: 2.438, usercpu_time_millis_training: 74.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5063, kappa: 0.0165, kb_relative_information_score: 19.3302, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5084, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1284.7078, usercpu_time_millis: 85.365, usercpu_time_millis_testing: 2.809, usercpu_time_millis_training: 82.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, f_measure: 0.5092, kappa: 0.0248, kb_relative_information_score: 11.7095, mean_absolute_error: 0.4962, 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: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1273.8803, usercpu_time_millis: 51.126, usercpu_time_millis_testing: 2.063, usercpu_time_millis_training: 49.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.5799, kappa: 0.1601, kb_relative_information_score: 92.116, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1271.0388, usercpu_time_millis: 599.374, usercpu_time_millis_testing: 8.519, usercpu_time_millis_training: 590.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5178, kappa: 0.038, kb_relative_information_score: 6.4143, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5192, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1246.281, usercpu_time_millis: 55.279, usercpu_time_millis_testing: 1.78, usercpu_time_millis_training: 53.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.555, kappa: 0.1106, kb_relative_information_score: 50.2844, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5554, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1264.0091, usercpu_time_millis: 239.925, usercpu_time_millis_testing: 3.978, usercpu_time_millis_training: 235.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0126, 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: 1266.6766, usercpu_time_millis: 4.283, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 3.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0167, 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: 1272.4538, usercpu_time_millis: 5.387, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 4.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 58.3505, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1251.0966, usercpu_time_millis: 28.66, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 27.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.5375, kappa: 0.0759, kb_relative_information_score: 38.4105, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5381, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1282.1939, usercpu_time_millis: 189.955, usercpu_time_millis_testing: 3.988, usercpu_time_millis_training: 185.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.5799, kappa: 0.1601, kb_relative_information_score: 85.9235, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9901, scimark_benchmark: 1249.7755, usercpu_time_millis: 516.851, usercpu_time_millis_testing: 6.616, usercpu_time_millis_training: 510.235,

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