Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142880 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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142880 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, kb_relative_information_score: 11.2123, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, kb_relative_information_score: -9.1719, 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: 1.0014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -5.3793, 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: 1.0014, 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: 0.4978, kb_relative_information_score: 0.9326, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9996, 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: 0.6244, kb_relative_information_score: -25.2186, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0065, 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: -13.0711, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0031, 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: -93.7426, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 64.0302, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 0.9559, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9995, 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: 0.8004, f_measure: 0.7202, kappa: 0.3674, kb_relative_information_score: 351.6023, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7393, predictive_accuracy: 0.7424, prior_entropy: 0.9313, recall: 0.7424, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 5.9189, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9972, 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: -21.624, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0056, 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: 0.8095, kb_relative_information_score: 56.626, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 10.3401, 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: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -6.0324, mean_absolute_error: 0.4538, 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: 0.5004, kb_relative_information_score: -21.8982, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0056, 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: -143.0271, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.5564, kappa: 0.0529, kb_relative_information_score: 128.7801, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6432, predictive_accuracy: 0.661, prior_entropy: 0.9313, recall: 0.661, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -6.1951, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0016, 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: -18.7897, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0048, 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: 5.8359, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9972, 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: 0.7294, f_measure: 0.6889, kappa: 0.2972, kb_relative_information_score: 291.9761, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6906, predictive_accuracy: 0.7043, prior_entropy: 0.9313, recall: 0.7043, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 6.4039, 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: 0.476, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, kb_relative_information_score: 26.9011, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -50.4313, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 8.9717, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9957, 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: 1.0468, 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: 0.9995, 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: -6.3443, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0016, 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: 0.7846, f_measure: 0.7216, kappa: 0.3731, kb_relative_information_score: 475.6359, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7218, predictive_accuracy: 0.7311, prior_entropy: 0.9313, recall: 0.7311, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, kb_relative_information_score: -26.3102, 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: 1.0068, 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: 0.4978, kb_relative_information_score: -28.3483, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0073, 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: 0.4996, kb_relative_information_score: 4.7817, 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: 0.9977, 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: 8.8269, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9957, 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: -13.8388, 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: 1.0036, 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: 9.951, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9952, 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: -0.6267, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0001, 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: 0.6776, kb_relative_information_score: 85.8775, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 9.427, 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: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -36.0855, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0094, 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: -6.0461, mean_absolute_error: 0.4538, 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: 0.695, kb_relative_information_score: 11.9007, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, kb_relative_information_score: -8.3561, 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: 0.4756, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9304, kappa: 0.8461, kb_relative_information_score: 1004.3328, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9303, predictive_accuracy: 0.9304, prior_entropy: 0.9313, recall: 0.9304, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.6068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 66.1262, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 9.8981, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9952, 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: 0.498, kb_relative_information_score: -5.4381, 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: 1.0014, 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: 10.1249, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9951, 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: -15.7378, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.004, 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: 0.8756, kb_relative_information_score: 1.3545, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -27.7049, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0072, 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: 0.9458, f_measure: 0.8813, kappa: 0.7388, kb_relative_information_score: 1059.3765, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8818, predictive_accuracy: 0.881, prior_entropy: 0.9313, recall: 0.881, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, kb_relative_information_score: -0.6828, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9174, kappa: 0.8156, kb_relative_information_score: 1270.4224, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9192, predictive_accuracy: 0.9186, prior_entropy: 0.9313, recall: 0.9186, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, kb_relative_information_score: 43.233, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -16.0106, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0041, 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: 0.4996, kb_relative_information_score: -24.4739, 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: 0.7369, kb_relative_information_score: 35.19, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, kb_relative_information_score: 160.917, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, kb_relative_information_score: 1.8165, 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: 0.6413, kb_relative_information_score: 57.1476, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6721, kappa: 0.2626, kb_relative_information_score: 297.9839, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6693, predictive_accuracy: 0.6821, prior_entropy: 0.9313, recall: 0.6821, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -33.7393, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0088, 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: 0.6078, kb_relative_information_score: 11.3455, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9945, 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: 0.671, kb_relative_information_score: -4.4625, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -1.0099, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0001, 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: 6.9098, 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: 0.9967, 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: 0.4996, kb_relative_information_score: -170.1278, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6642, kappa: 0.2416, kb_relative_information_score: 248.6212, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6789, predictive_accuracy: 0.695, prior_entropy: 0.9313, recall: 0.695, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.938, kappa: 0.8626, kb_relative_information_score: 1107.3202, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9379, predictive_accuracy: 0.9382, prior_entropy: 0.9313, recall: 0.9382, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -14.5974, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0037, 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: 0.5751, kb_relative_information_score: -63.0254, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -16.1751, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0042, 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: -2.9759, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0008, 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: 4.3123, 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: 0.4988, kb_relative_information_score: -77.326, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0205, 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: 0.498, kb_relative_information_score: -99.2104, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -10.6304, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0027, 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: 0.498, kb_relative_information_score: -8.8877, 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: 0.9078, kb_relative_information_score: 12.9954, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.5958, kappa: 0.121, kb_relative_information_score: 199.0752, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6827, predictive_accuracy: 0.678, prior_entropy: 0.9313, recall: 0.678, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9897, kb_relative_information_score: 1075.0674, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 4.0372, 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: 0.4988, kb_relative_information_score: -11.7364, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.003, 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: 0.4996, kb_relative_information_score: 26.8147, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.987, 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: 0.4996, kb_relative_information_score: 4.0829, 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: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -51.3507, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 7.1774, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9965, 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: 0.4996, kb_relative_information_score: -2.5253, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0005, 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: 0.998, kb_relative_information_score: 20.498, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -7.6614, 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: -39.1619, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0102, 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: -18.5545, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0048, 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: 19.4157, 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: 0.9905, 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: 0.4978, kb_relative_information_score: 8.0779, 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: 0.4996, kb_relative_information_score: 20.2739, 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: 0.4762, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -0.0915, 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: 0.8325, kb_relative_information_score: 170.3367, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, kb_relative_information_score: 367.9633, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.6944, kappa: 0.3109, kb_relative_information_score: 363.0058, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7243, predictive_accuracy: 0.7259, prior_entropy: 0.9313, recall: 0.7259, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, kb_relative_information_score: -34.8449, 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: 1.009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,

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