Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142172 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7105, kappa: 0.3456, kb_relative_information_score: 472.2872, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7304, predictive_accuracy: 0.7347, prior_entropy: 0.9313, recall: 0.7347, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -12.8152, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, kb_relative_information_score: -5.8524, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 8.3991, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.5223, kappa: 0.0075, kb_relative_information_score: 86.0534, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6357, predictive_accuracy: 0.6543, prior_entropy: 0.9313, recall: 0.6543, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -10.0898, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8073, kappa: 0.5653, kb_relative_information_score: 650.0213, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8162, predictive_accuracy: 0.8156, prior_entropy: 0.9313, recall: 0.8156, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, kb_relative_information_score: 162.3176, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -7.0878, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 7.7182, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, kb_relative_information_score: 10.0442, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, kb_relative_information_score: 45.9832, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -45.2525, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 8.5569, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.5186, kappa: 0.0039, kb_relative_information_score: 154.2282, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7739, predictive_accuracy: 0.6543, prior_entropy: 0.9313, recall: 0.6543, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 18.848, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 26.2993, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, kb_relative_information_score: 62.7619, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7224, kappa: 0.3742, kb_relative_information_score: 438.509, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7238, predictive_accuracy: 0.7331, prior_entropy: 0.9313, recall: 0.7331, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 3.1804, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 17.2206, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, kb_relative_information_score: 8.3666, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 18.6263, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 20.108, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.0143, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -13.2979, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 20.4738, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 27.1346, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.5412, kappa: 0.0313, kb_relative_information_score: 144.8974, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6353, predictive_accuracy: 0.6574, prior_entropy: 0.9313, recall: 0.6574, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 4.9663, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 42.6753, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -17.1102, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9739, kappa: 0.9426, kb_relative_information_score: 1472.1767, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9745, predictive_accuracy: 0.9737, prior_entropy: 0.9313, recall: 0.9737, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7058, kappa: 0.336, kb_relative_information_score: 390.4966, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7079, predictive_accuracy: 0.7192, prior_entropy: 0.9313, recall: 0.7192, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 37.4965, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1727.045, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 62.3306, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -57.0338, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 5.2484, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -23.9052, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, kb_relative_information_score: -45.1295, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -25.8579, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -6.8255, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 4.4308, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -35.0729, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -131.297, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0359, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 40.024, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -8.3865, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9165, kappa: 0.8169, kb_relative_information_score: 1288.9236, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9176, predictive_accuracy: 0.916, prior_entropy: 0.9313, recall: 0.916, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.652, kappa: 0.2142, kb_relative_information_score: 240.7049, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6501, predictive_accuracy: 0.6687, prior_entropy: 0.9313, recall: 0.6687, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 1.1653, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -185.5737, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 3.1057, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -24.4795, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5186, kappa: 0.0039, kb_relative_information_score: 111.8507, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7739, predictive_accuracy: 0.6543, prior_entropy: 0.9313, recall: 0.6543, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -8.9319, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, kb_relative_information_score: 46.2514, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, kb_relative_information_score: 99.1612, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, kb_relative_information_score: 17.9626, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 5.028, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 6.5424, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8481, kappa: 0.662, kb_relative_information_score: 927.0214, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8479, predictive_accuracy: 0.8496, prior_entropy: 0.9313, recall: 0.8496, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 18.3509, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, kb_relative_information_score: 55.9021, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -13.8, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -5.8637, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -111.0661, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, kb_relative_information_score: -23.9183, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 23.7994, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.89, kappa: 0.7578, kb_relative_information_score: 1135.6656, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8904, predictive_accuracy: 0.8897, prior_entropy: 0.9313, recall: 0.8897, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, kb_relative_information_score: 19.4573, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 3.0167, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 19.7066, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 16.463, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 50.8308, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, kb_relative_information_score: 7.9046, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 17.9784, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 8.1343, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, kb_relative_information_score: 3.9055, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, kb_relative_information_score: 68.5276, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.6676, kappa: 0.2598, kb_relative_information_score: 318.5585, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7327, predictive_accuracy: 0.7172, prior_entropy: 0.9313, recall: 0.7172, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.6665, kappa: 0.2497, kb_relative_information_score: 248.9099, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6966, predictive_accuracy: 0.7048, prior_entropy: 0.9313, recall: 0.7048, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -44.965, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.1411, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7976, kappa: 0.5462, kb_relative_information_score: 592.7775, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7985, predictive_accuracy: 0.8022, prior_entropy: 0.9313, recall: 0.8022, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -322.1532, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 19.1849, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7778, kappa: 0.4986, kb_relative_information_score: 556.8092, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7853, predictive_accuracy: 0.7877, prior_entropy: 0.9313, recall: 0.7877, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, kb_relative_information_score: 6.4589, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6456, kappa: 0.2, kb_relative_information_score: 232.572, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6578, predictive_accuracy: 0.6795, prior_entropy: 0.9313, recall: 0.6795, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, kb_relative_information_score: 19.0106, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.822, kappa: 0.609, kb_relative_information_score: 642.3759, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8231, predictive_accuracy: 0.8212, prior_entropy: 0.9313, recall: 0.8212, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, kb_relative_information_score: 46.1956, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.5493, kappa: 0.0545, kb_relative_information_score: 315.8229, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7683, predictive_accuracy: 0.6677, prior_entropy: 0.9313, recall: 0.6677, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -24.1058, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 6.537, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 2.0465, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8549, kappa: 0.6772, kb_relative_information_score: 702.5942, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8548, predictive_accuracy: 0.8563, prior_entropy: 0.9313, recall: 0.8563, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 3.9122, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, kb_relative_information_score: 12.3341, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,

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