OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -2.5138, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7918, kappa: 0.5799, kb_relative_information_score: 1609.0873, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7922, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 24.5799, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.222, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.6692, kappa: 0.3336, kb_relative_information_score: 1235.959, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6692, predictive_accuracy: 0.6692, prior_entropy: 0.9948, recall: 0.6692, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 3.9418, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.9594, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -5.6766, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4422, kappa: -0.0001, kb_relative_information_score: 20.8338, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5034, predictive_accuracy: 0.5337, prior_entropy: 0.9948, recall: 0.5337, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 5.6042, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -16.246, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 9.8018, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.5257, kappa: 0.0444, kb_relative_information_score: 207.5455, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5262, predictive_accuracy: 0.5321, prior_entropy: 0.9948, recall: 0.5321, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6821, root_relative_squared_error: 1.3691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.0586, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7521, kappa: 0.4999, kb_relative_information_score: 1054.2734, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 8.4535, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7417, kappa: 0.4799, kb_relative_information_score: 1157.1681, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7418, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.422, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 6.8436, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4422, kappa: -0.0001, kb_relative_information_score: 52.7987, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5034, predictive_accuracy: 0.5337, prior_entropy: 0.9948, recall: 0.5337, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 4.3942, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.8413, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5699, kappa: 0.1341, kb_relative_information_score: 300.2137, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5724, predictive_accuracy: 0.5766, prior_entropy: 0.9948, recall: 0.5766, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4921, kappa: -0.0057, kb_relative_information_score: 79.2915, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5003, predictive_accuracy: 0.5156, prior_entropy: 0.9948, recall: 0.5156, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.696, root_relative_squared_error: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7478, kappa: 0.4915, kb_relative_information_score: 1589.1498, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7477, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -8.3883, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.694, kappa: 0.3825, kb_relative_information_score: 906.9788, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6955, predictive_accuracy: 0.6961, prior_entropy: 0.9948, recall: 0.6961, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7139, kappa: 0.4227, kb_relative_information_score: 793.5855, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7143, predictive_accuracy: 0.715, prior_entropy: 0.9948, recall: 0.715, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7797, kappa: 0.5557, kb_relative_information_score: 1720.8923, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7797, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -2.1118, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -5.8974, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 248.0295, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -58.2555, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7703, kappa: 0.5369, kb_relative_information_score: 1624.9766, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7702, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 672.6466, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.6974, kappa: 0.3909, kb_relative_information_score: 754.3664, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6977, predictive_accuracy: 0.6971, prior_entropy: 0.9948, recall: 0.6971, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7112, kappa: 0.4177, kb_relative_information_score: 1268.366, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7111, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 14.8191, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4422, kappa: -0.0001, kb_relative_information_score: -35.1519, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5034, predictive_accuracy: 0.5337, prior_entropy: 0.9948, recall: 0.5337, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 7.3676, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2.8889, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.4404, kappa: 0.0431, kb_relative_information_score: 63.0525, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6016, predictive_accuracy: 0.558, prior_entropy: 0.9948, recall: 0.558, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7946, kappa: 0.5858, kb_relative_information_score: 1650.5947, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2.9133, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7813, kappa: 0.5588, kb_relative_information_score: 1453.6115, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 11.8844, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.5661, kappa: 0.1253, kb_relative_information_score: 465.2532, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5658, predictive_accuracy: 0.5665, prior_entropy: 0.9948, recall: 0.5665, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6584, root_relative_squared_error: 1.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.744, kappa: 0.4837, kb_relative_information_score: 1515.8971, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7439, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 62.4936, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7355, kappa: 0.4671, kb_relative_information_score: 1028.1086, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7355, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.9827, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 10.1518, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7808, kappa: 0.5579, kb_relative_information_score: 1578.3434, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7334, kappa: 0.462, kb_relative_information_score: 1107.9279, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7349, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6733, kappa: 0.3407, kb_relative_information_score: 688.4156, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6739, predictive_accuracy: 0.675, prior_entropy: 0.9948, recall: 0.675, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.6926, kappa: 0.3804, kb_relative_information_score: 508.1775, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.697, predictive_accuracy: 0.6963, prior_entropy: 0.9948, recall: 0.6963, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -6.1954, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7008, kappa: 0.3964, kb_relative_information_score: 1273.4912, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7007, predictive_accuracy: 0.7014, prior_entropy: 0.9948, recall: 0.7014, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7438, kappa: 0.4836, kb_relative_information_score: 1290.1727, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7437, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 301.3874, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7342, kappa: 0.4647, kb_relative_information_score: 1484.4703, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7343, predictive_accuracy: 0.7342, prior_entropy: 0.9948, recall: 0.7342, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7577, kappa: 0.512, kb_relative_information_score: 1273.3294, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -20.8061, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.4009, kappa: 0.0178, kb_relative_information_score: 335.9257, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6689, predictive_accuracy: 0.5495, prior_entropy: 0.9948, recall: 0.5495, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6712, root_relative_squared_error: 1.3473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7231, kappa: 0.4419, kb_relative_information_score: 1653.4493, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.723, predictive_accuracy: 0.7233, prior_entropy: 0.9948, recall: 0.7233, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7563, kappa: 0.5088, kb_relative_information_score: 1906.042, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5246, kappa: 0.0418, kb_relative_information_score: 150.0175, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5243, predictive_accuracy: 0.5249, prior_entropy: 0.9948, recall: 0.5249, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6893, root_relative_squared_error: 1.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3876, kappa: 0.0059, kb_relative_information_score: 299.5523, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6821, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.3837, kappa: 0.0025, kb_relative_information_score: 289.4486, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7521, predictive_accuracy: 0.5433, prior_entropy: 0.9948, recall: 0.5433, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6758, root_relative_squared_error: 1.3564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7678, kappa: 0.5324, kb_relative_information_score: 1990.9132, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7679, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7511, kappa: 0.499, kb_relative_information_score: 1863.6065, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7513, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.5214, kappa: 0.0356, kb_relative_information_score: 123.7478, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5213, predictive_accuracy: 0.5215, prior_entropy: 0.9948, recall: 0.5215, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6918, root_relative_squared_error: 1.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.5176, kappa: 0.1419, kb_relative_information_score: 723.9081, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6896, predictive_accuracy: 0.6006, prior_entropy: 0.9948, recall: 0.6006, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6319, root_relative_squared_error: 1.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7285, kappa: 0.4527, kb_relative_information_score: 1695.8849, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7284, predictive_accuracy: 0.7289, prior_entropy: 0.9948, recall: 0.7289, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.4902, kappa: 0.1109, kb_relative_information_score: 626.9125, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.689, predictive_accuracy: 0.5878, prior_entropy: 0.9948, recall: 0.5878, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.642, root_relative_squared_error: 1.2886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7494, kappa: 0.4943, kb_relative_information_score: 1861.5857, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.5872, kappa: 0.1689, kb_relative_information_score: 620.8503, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5874, predictive_accuracy: 0.587, prior_entropy: 0.9948, recall: 0.587, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6426, root_relative_squared_error: 1.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6779, kappa: 0.3505, kb_relative_information_score: 1311.944, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6777, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.407, kappa: 0.0242, kb_relative_information_score: 356.1331, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6799, predictive_accuracy: 0.5521, prior_entropy: 0.9948, recall: 0.5521, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.771, kappa: 0.5388, kb_relative_information_score: 2015.1621, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7737, kappa: 0.5434, kb_relative_information_score: 2041.4317, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7743, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.525, kappa: 0.043, kb_relative_information_score: 152.0382, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5249, predictive_accuracy: 0.5252, prior_entropy: 0.9948, recall: 0.5252, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6891, root_relative_squared_error: 1.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 1863.6065, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7668, kappa: 0.5294, kb_relative_information_score: 1988.8924, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7246, kappa: 0.4496, kb_relative_information_score: 1728.2168, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7461, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.5198, kappa: 0.0327, kb_relative_information_score: 111.6234, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5198, predictive_accuracy: 0.5199, prior_entropy: 0.9948, recall: 0.5199, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.5212, kappa: 0.0354, kb_relative_information_score: 121.7271, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5212, predictive_accuracy: 0.5212, prior_entropy: 0.9948, recall: 0.5212, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.692, root_relative_squared_error: 1.3889,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs