OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 15541 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.5391, kappa: 0.169, kb_relative_information_score: 0.2162, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.696, predictive_accuracy: 0.6121, prior_entropy: 0.9948, recall: 0.6121, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6312, kappa: 0.2922, kb_relative_information_score: 0.3207, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7068, predictive_accuracy: 0.6638, prior_entropy: 0.9948, recall: 0.6638, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5798, root_relative_squared_error: 1.1638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, 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: 0.5, kb_relative_information_score: 0.075, 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: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 0.0766, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6739, kappa: 0.3577, kb_relative_information_score: 0.3767, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7148, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, 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: 0.7115, f_measure: 0.7161, kappa: 0.4338, kb_relative_information_score: 0.4462, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, 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: 0.6964, f_measure: 0.6994, kappa: 0.3938, kb_relative_information_score: 0.3934, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6992, predictive_accuracy: 0.6998, prior_entropy: 0.9948, recall: 0.6998, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, 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: 0.5923, f_measure: 0.5603, kappa: 0.1957, kb_relative_information_score: 0.2388, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6988, predictive_accuracy: 0.6233, prior_entropy: 0.9948, recall: 0.6233, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6138, root_relative_squared_error: 1.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7449, kappa: 0.4855, kb_relative_information_score: 0.4855, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7793, kappa: 0.5547, kb_relative_information_score: 0.555, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.6391, kappa: 0.2721, kb_relative_information_score: 0.2722, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6389, predictive_accuracy: 0.6398, prior_entropy: 0.9948, recall: 0.6398, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6001, root_relative_squared_error: 1.2046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7401, kappa: 0.476, kb_relative_information_score: 0.4753, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.74, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7358, kappa: 0.4674, kb_relative_information_score: 0.4667, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.7363, kappa: 0.4685, kb_relative_information_score: 0.4677, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7582, kappa: 0.5122, kb_relative_information_score: 0.513, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7593, kappa: 0.5145, kb_relative_information_score: 0.5151, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5243, kappa: 0.0414, kb_relative_information_score: 0.0389, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5241, predictive_accuracy: 0.5244, prior_entropy: 0.9948, recall: 0.5244, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6896, root_relative_squared_error: 1.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7204, kappa: 0.4363, kb_relative_information_score: 0.4354, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7202, predictive_accuracy: 0.7206, prior_entropy: 0.9948, recall: 0.7206, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.7234, kappa: 0.4426, kb_relative_information_score: 0.4413, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7233, predictive_accuracy: 0.7235, prior_entropy: 0.9948, recall: 0.7235, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.6268, kappa: 0.2854, kb_relative_information_score: 0.3147, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7051, predictive_accuracy: 0.6609, prior_entropy: 0.9948, recall: 0.6609, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6756, kappa: 0.3607, kb_relative_information_score: 0.3794, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7158, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7339, kappa: 0.4636, kb_relative_information_score: 0.4629, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7338, predictive_accuracy: 0.7342, prior_entropy: 0.9948, recall: 0.7342, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.7262, kappa: 0.4481, kb_relative_information_score: 0.4473, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7261, predictive_accuracy: 0.7265, prior_entropy: 0.9948, recall: 0.7265, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.523, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6762, kappa: 0.3619, kb_relative_information_score: 0.3805, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7162, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7231, kappa: 0.4418, kb_relative_information_score: 0.4408, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7229, 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: 0.7202, f_measure: 0.7226, kappa: 0.4409, kb_relative_information_score: 0.4397, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7225, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6648, kappa: 0.3428, kb_relative_information_score: 0.3638, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7119, predictive_accuracy: 0.6852, prior_entropy: 0.9948, recall: 0.6852, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6629, kappa: 0.3398, kb_relative_information_score: 0.3611, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7112, predictive_accuracy: 0.6838, prior_entropy: 0.9948, recall: 0.6838, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.1286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3876, kappa: 0.0059, kb_relative_information_score: 0.0799, 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: 0.6897, f_measure: 0.6924, kappa: 0.38, kb_relative_information_score: 0.3789, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6923, predictive_accuracy: 0.6926, prior_entropy: 0.9948, recall: 0.6926, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5544, root_relative_squared_error: 1.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7198, kappa: 0.4351, kb_relative_information_score: 0.4343, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7197, predictive_accuracy: 0.7201, prior_entropy: 0.9948, recall: 0.7201, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6855, kappa: 0.3663, kb_relative_information_score: 0.3648, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6854, predictive_accuracy: 0.6857, prior_entropy: 0.9948, recall: 0.6857, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.1253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7683, kappa: 0.5325, kb_relative_information_score: 0.5335, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7689, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6958, kappa: 0.3944, kb_relative_information_score: 0.4085, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7217, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.541, root_relative_squared_error: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 0.0766, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7519, kappa: 0.4998, kb_relative_information_score: 0.499, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7518, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3876, kappa: 0.0059, kb_relative_information_score: 0.0799, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, 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: 0.6888, f_measure: 0.6921, kappa: 0.3885, kb_relative_information_score: 0.4036, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7214, predictive_accuracy: 0.7049, prior_entropy: 0.9948, recall: 0.7049, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0904,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.6718, kappa: 0.3556, kb_relative_information_score: 0.3756, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7174, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7547, kappa: 0.505, kb_relative_information_score: 0.506, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7757, kappa: 0.5474, kb_relative_information_score: 0.5491, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.4183, kappa: 0.0368, kb_relative_information_score: 0.1057, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.5575, prior_entropy: 0.9948, recall: 0.5575, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6652, root_relative_squared_error: 1.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 0.4839, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7526, kappa: 0.5007, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.3849, kappa: 0.0038, kb_relative_information_score: 0.0782, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.5439, prior_entropy: 0.9948, recall: 0.5439, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.3556,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.394, kappa: 0.0123, kb_relative_information_score: 0.0852, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6984, predictive_accuracy: 0.5473, prior_entropy: 0.9948, recall: 0.5473, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6728, root_relative_squared_error: 1.3505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7408, kappa: 0.4776, kb_relative_information_score: 0.4764, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0218,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6635, kappa: 0.3479, kb_relative_information_score: 0.3718, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7308, predictive_accuracy: 0.6891, prior_entropy: 0.9948, recall: 0.6891, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6763, kappa: 0.3679, kb_relative_information_score: 0.3891, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7324, predictive_accuracy: 0.6977, prior_entropy: 0.9948, recall: 0.6977, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5074, kappa: 0.1356, kb_relative_information_score: 0.1892, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7122, predictive_accuracy: 0.5988, prior_entropy: 0.9948, recall: 0.5988, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6334, root_relative_squared_error: 1.2714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7821, kappa: 0.5609, kb_relative_information_score: 0.5599, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7428, kappa: 0.4814, kb_relative_information_score: 0.4812, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7428, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7428, kappa: 0.4815, kb_relative_information_score: 0.4807, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7427, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7668, kappa: 0.5311, kb_relative_information_score: 0.5281, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.787, kappa: 0.5708, kb_relative_information_score: 0.5696, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7869, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7678, kappa: 0.5329, kb_relative_information_score: 0.5302, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, 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: 0.7793, f_measure: 0.7802, kappa: 0.5577, kb_relative_information_score: 0.5556, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9413,

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