OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 18711 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7391, kappa: 0.4747, kb_relative_information_score: 1542.6062, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7393, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7438, kappa: 0.4846, kb_relative_information_score: 1725.9207, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7321, kappa: 0.4609, kb_relative_information_score: 1616.9821, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7325, predictive_accuracy: 0.7318, prior_entropy: 0.9948, recall: 0.7318, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7403, kappa: 0.4775, kb_relative_information_score: 1585.5565, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7334, kappa: 0.4635, kb_relative_information_score: 1585.3223, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7338, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.5837, 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: 0.7898, f_measure: 0.7295, kappa: 0.4554, kb_relative_information_score: 1591.0273, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7297, predictive_accuracy: 0.7294, prior_entropy: 0.9948, recall: 0.7294, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7351, kappa: 0.4665, kb_relative_information_score: 1682.9658, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7352, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7376, kappa: 0.4722, kb_relative_information_score: 1563.6082, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7313, kappa: 0.4595, kb_relative_information_score: 1591.6075, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7319, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7499, kappa: 0.4963, kb_relative_information_score: 1758.1624, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7499, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7405, kappa: 0.4777, kb_relative_information_score: 1570.1532, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7408, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7384, kappa: 0.4738, kb_relative_information_score: 1715.0194, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7306, kappa: 0.4578, kb_relative_information_score: 1676.6989, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7309, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7392, kappa: 0.4754, kb_relative_information_score: 1582.1766, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7397, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7394, kappa: 0.4753, kb_relative_information_score: 1542.2823, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7396, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7326, kappa: 0.4619, kb_relative_information_score: 1588.6832, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.733, predictive_accuracy: 0.7323, prior_entropy: 0.9948, recall: 0.7323, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7277, kappa: 0.452, kb_relative_information_score: 1583.6497, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.728, predictive_accuracy: 0.7275, prior_entropy: 0.9948, recall: 0.7275, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.735, kappa: 0.4669, kb_relative_information_score: 1707.9868, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7355, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.731, kappa: 0.4586, kb_relative_information_score: 1692.7572, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7313, predictive_accuracy: 0.7307, prior_entropy: 0.9948, recall: 0.7307, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7431, kappa: 0.4826, kb_relative_information_score: 1538.7014, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7432, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7383, kappa: 0.4731, kb_relative_information_score: 1528.6175, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7397, kappa: 0.4763, kb_relative_information_score: 1563.1433, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7401, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.741, kappa: 0.4787, kb_relative_information_score: 1606.092, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7413, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.7339, kappa: 0.4644, kb_relative_information_score: 1740.2997, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7342, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7381, kappa: 0.4728, kb_relative_information_score: 1617.7433, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7303, kappa: 0.4569, kb_relative_information_score: 1699.5243, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7304, predictive_accuracy: 0.7302, prior_entropy: 0.9948, recall: 0.7302, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7389, kappa: 0.4742, kb_relative_information_score: 1528.3292, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.739, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.6035, 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: 0.7958, f_measure: 0.7362, kappa: 0.4689, kb_relative_information_score: 1566.2116, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7349, kappa: 0.466, kb_relative_information_score: 1707.7932, mean_absolute_error: 0.2703, 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: 0.5445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7386, kappa: 0.4736, kb_relative_information_score: 1780.789, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7383, kappa: 0.473, kb_relative_information_score: 1548.4825, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7348, kappa: 0.4665, kb_relative_information_score: 1578.3106, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7443, kappa: 0.4855, kb_relative_information_score: 1605.3865, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7447, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7243, kappa: 0.4446, kb_relative_information_score: 1580.5976, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7243, predictive_accuracy: 0.7243, prior_entropy: 0.9948, recall: 0.7243, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7441, kappa: 0.4846, kb_relative_information_score: 1727.7071, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7386, kappa: 0.4737, kb_relative_information_score: 1699.5238, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7442, kappa: 0.4849, kb_relative_information_score: 1532.0788, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7333, kappa: 0.4633, kb_relative_information_score: 1687.9916, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7336, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7386, kappa: 0.474, kb_relative_information_score: 1566.9167, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7412, kappa: 0.4795, kb_relative_information_score: 1765.6899, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7419, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7372, kappa: 0.4709, kb_relative_information_score: 1542.0803, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7408, kappa: 0.4784, kb_relative_information_score: 1569.7913, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7412, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7381, kappa: 0.473, kb_relative_information_score: 1705.1566, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.5463, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.7308, kappa: 0.4586, kb_relative_information_score: 1682.1047, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7315, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.955,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7431, kappa: 0.4826, kb_relative_information_score: 1536.1055, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7432, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7475, kappa: 0.4921, kb_relative_information_score: 1563.509, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7481, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7411, kappa: 0.4792, kb_relative_information_score: 1588.5519, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7416, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7313, kappa: 0.4595, kb_relative_information_score: 1652.6273, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7319, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7261, kappa: 0.4487, kb_relative_information_score: 1569.7449, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7264, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7436, kappa: 0.4838, kb_relative_information_score: 1549.5275, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7437, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7229, kappa: 0.4423, kb_relative_information_score: 1597.8764, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7232, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7317, kappa: 0.46, kb_relative_information_score: 1615.1467, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.732, predictive_accuracy: 0.7315, prior_entropy: 0.9948, recall: 0.7315, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7304, kappa: 0.4568, kb_relative_information_score: 1647.529, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7304, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7436, kappa: 0.4837, kb_relative_information_score: 1572.4338, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7437, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7369, kappa: 0.4707, kb_relative_information_score: 1567.5012, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7346, kappa: 0.4655, kb_relative_information_score: 1684.1027, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7347, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9516,

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