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Function: query

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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 47 Supervised Classification tae 940 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

940 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.5429, kappa: 0.3143, kb_relative_information_score: 36.0028, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5428, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.95, scimark_benchmark: 938.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.5577, kappa: 0.336, kb_relative_information_score: 52.8138, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5752, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4803, root_relative_squared_error: 1.019, scimark_benchmark: 932.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.6689, kappa: 0.5032, kb_relative_information_score: 81.5747, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6689, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9564, scimark_benchmark: 942.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.4135, kappa: 0.1884, kb_relative_information_score: 21.4163, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4531, predictive_accuracy: 0.457, prior_entropy: 1.5845, recall: 0.457, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9869, scimark_benchmark: 455.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.5104, kappa: 0.2651, kb_relative_information_score: 37.773, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5212, predictive_accuracy: 0.5099, prior_entropy: 1.5845, recall: 0.5099, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9335, scimark_benchmark: 936.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.6703, kappa: 0.5028, kb_relative_information_score: 76.252, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6744, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8891, scimark_benchmark: 933.7557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.4017, kappa: 0.1789, kb_relative_information_score: 21.5008, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4361, predictive_accuracy: 0.4503, prior_entropy: 1.5845, recall: 0.4503, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9839, scimark_benchmark: 941.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.396, kappa: 0.1691, kb_relative_information_score: 17.9167, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.427, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9826, scimark_benchmark: 940.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.5952, kappa: 0.3937, kb_relative_information_score: 46.0796, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5946, predictive_accuracy: 0.596, prior_entropy: 1.5845, recall: 0.596, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9032, scimark_benchmark: 935.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.2868, kappa: 0.0359, kb_relative_information_score: 8.1086, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4377, predictive_accuracy: 0.351, prior_entropy: 1.5845, recall: 0.351, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0054, scimark_benchmark: 930.2493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.5003, kappa: 0.2456, kb_relative_information_score: 38.3908, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5136, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9532, scimark_benchmark: 938.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.5479, kappa: 0.3241, kb_relative_information_score: 32.9917, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5469, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9251, scimark_benchmark: 940.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.676, kappa: 0.5131, kb_relative_information_score: 80.9839, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6767, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9302, scimark_benchmark: 944.2524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.3367, kappa: 0.1112, kb_relative_information_score: 14.9649, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3595, predictive_accuracy: 0.404, prior_entropy: 1.5845, recall: 0.404, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9899, scimark_benchmark: 937.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.6753, kappa: 0.5134, kb_relative_information_score: 82.6578, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6758, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9797, scimark_benchmark: 936.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.4683, kappa: 0.2049, kb_relative_information_score: 43.7777, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.468, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0806, scimark_benchmark: 926.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.543, kappa: 0.3146, kb_relative_information_score: 36.0489, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5432, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9454, scimark_benchmark: 898.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.5042, kappa: 0.2559, kb_relative_information_score: 28.381, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5098, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.4734, kappa: 0.2464, kb_relative_information_score: 18.7366, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4816, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9709, scimark_benchmark: 921.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6416, kappa: 0.4639, kb_relative_information_score: 73.833, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6439, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0008, scimark_benchmark: 944.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.5042, kappa: 0.2559, kb_relative_information_score: 28.381, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5098, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9546, scimark_benchmark: 946.2883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.6746, kappa: 0.5134, kb_relative_information_score: 83.8553, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.675, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9724, scimark_benchmark: 943.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.562, kappa: 0.3443, kb_relative_information_score: 42.1393, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5623, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9413, scimark_benchmark: 926.407,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.5315, kappa: 0.2949, kb_relative_information_score: 43.2154, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5357, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9599, scimark_benchmark: 943.9157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.6423, kappa: 0.4637, kb_relative_information_score: 78.5645, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6428, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4745, root_relative_squared_error: 1.0066, scimark_benchmark: 946.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.4702, kappa: 0.2045, kb_relative_information_score: 30.4702, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4731, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.989, scimark_benchmark: 940.0288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.407, kappa: 0.179, kb_relative_information_score: 20.2026, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4465, predictive_accuracy: 0.4503, prior_entropy: 1.5845, recall: 0.4503, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9889, scimark_benchmark: 910.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.4007, kappa: 0.1788, kb_relative_information_score: 18.7313, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4321, predictive_accuracy: 0.4503, prior_entropy: 1.5845, recall: 0.4503, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9822, scimark_benchmark: 909.5577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 942.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.6538, kappa: 0.4838, kb_relative_information_score: 74.2314, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6561, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9501, scimark_benchmark: 944.3569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.4362, kappa: 0.1566, kb_relative_information_score: 29.5677, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4391, predictive_accuracy: 0.4371, prior_entropy: 1.5845, recall: 0.4371, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.6565, kappa: 0.483, kb_relative_information_score: 75.379, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6586, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9111, scimark_benchmark: 941.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.562, kappa: 0.3443, kb_relative_information_score: 42.7144, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5623, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9428, scimark_benchmark: 935.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.6494, kappa: 0.4739, kb_relative_information_score: 78.2765, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6526, predictive_accuracy: 0.649, prior_entropy: 1.5845, recall: 0.649, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9437, scimark_benchmark: 920.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6817, kappa: 0.523, kb_relative_information_score: 83.93, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6814, predictive_accuracy: 0.6821, prior_entropy: 1.5845, recall: 0.6821, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9594, scimark_benchmark: 942.6422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.628, kappa: 0.4431, kb_relative_information_score: 52.6667, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6285, predictive_accuracy: 0.6291, prior_entropy: 1.5845, recall: 0.6291, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8788, scimark_benchmark: 933.1499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5585, kappa: 0.3452, kb_relative_information_score: 39.3612, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5607, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9308, scimark_benchmark: 945.1643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.4494, kappa: 0.1743, kb_relative_information_score: 29.6151, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4519, predictive_accuracy: 0.4503, prior_entropy: 1.5845, recall: 0.4503, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.987, scimark_benchmark: 943.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.6554, kappa: 0.4835, kb_relative_information_score: 79.48, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6558, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.015, scimark_benchmark: 891.3766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 937.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.4424, kappa: 0.1644, kb_relative_information_score: 15.0845, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4443, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.46, root_relative_squared_error: 0.976, scimark_benchmark: 931.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.3827, kappa: 0.159, kb_relative_information_score: 17.7281, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3965, predictive_accuracy: 0.4371, prior_entropy: 1.5845, recall: 0.4371, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.6623, kappa: 0.4935, kb_relative_information_score: 80.6583, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.663, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9448, scimark_benchmark: 916.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.3567, kappa: 0.14, kb_relative_information_score: 17.0466, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3756, predictive_accuracy: 0.4238, prior_entropy: 1.5845, recall: 0.4238, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.4702, kappa: 0.2053, kb_relative_information_score: 30.796, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4717, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9906, scimark_benchmark: 936.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.5042, kappa: 0.2559, kb_relative_information_score: 28.381, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5098, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9546, scimark_benchmark: 897.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 903.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.5424, kappa: 0.3158, kb_relative_information_score: 24.9236, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5511, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9595, scimark_benchmark: 908.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5468, kappa: 0.3259, kb_relative_information_score: 11.3727, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.569, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 933.1285,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.5264, kappa: 0.2962, kb_relative_information_score: 27.4173, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5357, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9825, scimark_benchmark: 936.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.6623, kappa: 0.4935, kb_relative_information_score: 80.8397, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6631, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9461,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7084, kappa: 0.5627, kb_relative_information_score: 88.7218, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7083, predictive_accuracy: 0.7086, prior_entropy: 1.5845, recall: 0.7086, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8952, scimark_benchmark: 922.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.552, kappa: 0.3353, kb_relative_information_score: 40.5772, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5535, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9409, scimark_benchmark: 932.0132,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.6611, kappa: 0.4932, kb_relative_information_score: 54.5933, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.661, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8586, scimark_benchmark: 936.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.6687, kappa: 0.5031, kb_relative_information_score: 54.8866, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6686, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8563, scimark_benchmark: 914.577,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.3864, kappa: 0.1689, kb_relative_information_score: 16.3996, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4036, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9861, scimark_benchmark: 888.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.5322, kappa: 0.3059, kb_relative_information_score: 26.0972, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5385, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9543, scimark_benchmark: 933.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.5281, kappa: 0.2953, kb_relative_information_score: 23.6476, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5292, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9523, scimark_benchmark: 944.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.5142, kappa: 0.2763, kb_relative_information_score: 34.5605, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5223, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9697, scimark_benchmark: 945.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7084, kappa: 0.5627, kb_relative_information_score: 88.9706, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7083, predictive_accuracy: 0.7086, prior_entropy: 1.5845, recall: 0.7086, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.5147, kappa: 0.2863, kb_relative_information_score: 34.2043, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5252, predictive_accuracy: 0.5232, prior_entropy: 1.5845, recall: 0.5232, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9792, scimark_benchmark: 897.6337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.5556, kappa: 0.3343, kb_relative_information_score: 35.6199, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5551, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9208, scimark_benchmark: 945.3911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.4424, kappa: 0.1644, kb_relative_information_score: 15.0845, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4443, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.46, root_relative_squared_error: 0.976, scimark_benchmark: 917.7024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.6703, kappa: 0.5028, kb_relative_information_score: 76.252, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6744, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8891, scimark_benchmark: 946.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.4353, kappa: 0.1544, kb_relative_information_score: 18.0007, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4356, predictive_accuracy: 0.4371, prior_entropy: 1.5845, recall: 0.4371, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5507, root_relative_squared_error: 1.1683, scimark_benchmark: 945.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 938.6699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.5747, kappa: 0.364, kb_relative_information_score: 63.8098, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5741, predictive_accuracy: 0.5762, prior_entropy: 1.5845, recall: 0.5762, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0332, scimark_benchmark: 947.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.552, kappa: 0.3353, kb_relative_information_score: 40.5772, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5535, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9409, scimark_benchmark: 940.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.4039, kappa: 0.1888, kb_relative_information_score: 23.8382, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4494, predictive_accuracy: 0.457, prior_entropy: 1.5845, recall: 0.457, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9906, scimark_benchmark: 900.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.5322, kappa: 0.3059, kb_relative_information_score: 26.0972, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5385, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9543, scimark_benchmark: 933.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.3776, kappa: 0.2091, kb_relative_information_score: 18.9353, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3484, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9769, scimark_benchmark: 928.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.4884, kappa: 0.2471, kb_relative_information_score: 10.7893, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5034, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9848, scimark_benchmark: 940.1365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 946.774,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7016, kappa: 0.553, kb_relative_information_score: 88.7798, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7015, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9311, scimark_benchmark: 932.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 923.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.4424, kappa: 0.1644, kb_relative_information_score: 15.0845, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4443, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.46, root_relative_squared_error: 0.976, scimark_benchmark: 938.5642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.5322, kappa: 0.3059, kb_relative_information_score: 26.0972, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5385, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9543, scimark_benchmark: 947.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.5785, kappa: 0.374, kb_relative_information_score: 50.8529, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.579, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8914, scimark_benchmark: 946.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.5042, kappa: 0.2559, kb_relative_information_score: 28.381, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5098, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9546, scimark_benchmark: 943.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.5285, kappa: 0.2955, kb_relative_information_score: 38.5133, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5309, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9335, scimark_benchmark: 944.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.543, kappa: 0.3146, kb_relative_information_score: 36.0489, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5432, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9454, scimark_benchmark: 935.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.5118, kappa: 0.2754, kb_relative_information_score: 36.945, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5135, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001, scimark_benchmark: 950.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.1764, kb_relative_information_score: 14.4964, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.1433, scimark_benchmark: 948.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.4153, kappa: 0.1249, kb_relative_information_score: 30.4307, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4156, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6233, root_relative_squared_error: 1.3225, scimark_benchmark: 913.3439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.5293, kappa: 0.2948, kb_relative_information_score: 32.2901, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5294, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.973, scimark_benchmark: 915.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.51, kappa: 0.2763, kb_relative_information_score: 40.5502, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5174, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9879, scimark_benchmark: 927.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.2575, kappa: 0.0335, kb_relative_information_score: 16.8378, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.2449, predictive_accuracy: 0.3642, prior_entropy: 1.5845, recall: 0.3642, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.1317, scimark_benchmark: 918.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.4736, kappa: 0.2155, kb_relative_information_score: 42.7508, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4737, predictive_accuracy: 0.4768, prior_entropy: 1.5845, recall: 0.4768, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9864, scimark_benchmark: 914.5451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.5792, kappa: 0.3749, kb_relative_information_score: 46.3275, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5849, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9445, scimark_benchmark: 947.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.4968, kappa: 0.2544, kb_relative_information_score: 37.4168, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4974, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9731, scimark_benchmark: 946.8453,

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