OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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299149 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.8974, kappa: -0.0046, kb_relative_information_score: -2191.3847, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8975, predictive_accuracy: 0.8973, prior_entropy: 0.3037, recall: 0.8973, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3205, root_relative_squared_error: 1.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.927, kappa: 0.1027, kb_relative_information_score: 1338.9289, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.3037, recall: 0.949, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.9423, kappa: 0.3216, kb_relative_information_score: 1762.5665, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9502, predictive_accuracy: 0.9552, prior_entropy: 0.3037, recall: 0.9552, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9846, kappa: 0.8485, kb_relative_information_score: 3781.9059, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9846, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8921, kappa: -0.057, kb_relative_information_score: -2544.4161, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8921, predictive_accuracy: 0.8921, prior_entropy: 0.3037, recall: 0.8921, relative_absolute_error: 1.0553, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3284, root_relative_squared_error: 1.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.9308, kappa: 0.3101, kb_relative_information_score: 180.986, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9296, predictive_accuracy: 0.932, prior_entropy: 0.3037, recall: 0.932, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2607, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.936, kappa: 0.3628, kb_relative_information_score: 519.8961, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.935, predictive_accuracy: 0.937, prior_entropy: 0.3037, recall: 0.937, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2511, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.983, kappa: 0.8302, kb_relative_information_score: 3683.0571, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.9132, kappa: -0.0076, kb_relative_information_score: 110.3798, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8968, predictive_accuracy: 0.931, prior_entropy: 0.3037, recall: 0.931, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9038, kappa: 0.0567, kb_relative_information_score: -1739.5046, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9037, predictive_accuracy: 0.9039, prior_entropy: 0.3037, recall: 0.9039, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.31, root_relative_squared_error: 1.3723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.913, kappa: -0.0223, kb_relative_information_score: 209.2285, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8943, predictive_accuracy: 0.9324, prior_entropy: 0.3037, recall: 0.9324, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.26, root_relative_squared_error: 1.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9888, kappa: 0.8895, kb_relative_information_score: 4064.331, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.3037, recall: 0.9888, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8962, kappa: -0.02, kb_relative_information_score: -2247.8697, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8959, predictive_accuracy: 0.8965, prior_entropy: 0.3037, recall: 0.8965, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.4244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.9847, kappa: 0.8496, kb_relative_information_score: 3781.9059, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.9727, kappa: 0.7289, kb_relative_information_score: 2991.1157, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9724, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.9337, kappa: 0.332, kb_relative_information_score: 421.0474, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.932, predictive_accuracy: 0.9355, prior_entropy: 0.3037, recall: 0.9355, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2539, root_relative_squared_error: 1.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.9727, kappa: 0.7304, kb_relative_information_score: 2976.9944, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.8978, kappa: 0.006, kb_relative_information_score: -2205.506, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8986, predictive_accuracy: 0.8971, prior_entropy: 0.3037, recall: 0.8971, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3208, root_relative_squared_error: 1.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9862, kappa: 0.8616, kb_relative_information_score: 3908.9972, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9862, predictive_accuracy: 0.9866, prior_entropy: 0.3037, recall: 0.9866, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.908, kappa: 0.0189, kb_relative_information_score: -878.1081, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9, predictive_accuracy: 0.9165, prior_entropy: 0.3037, recall: 0.9165, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2889, root_relative_squared_error: 1.2791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.8919, kappa: -0.0572, kb_relative_information_score: -2572.6586, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8921, predictive_accuracy: 0.8917, prior_entropy: 0.3037, recall: 0.8917, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3291, root_relative_squared_error: 1.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.8969, kappa: -0.0088, kb_relative_information_score: -2233.7485, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.897, predictive_accuracy: 0.8967, prior_entropy: 0.3037, recall: 0.8967, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.9759, kappa: 0.7411, kb_relative_information_score: 3344.147, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.6521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9836, kappa: 0.8386, kb_relative_information_score: 3711.2996, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.8952, kappa: -0.0319, kb_relative_information_score: -2304.3548, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8947, predictive_accuracy: 0.8956, prior_entropy: 0.3037, recall: 0.8956, relative_absolute_error: 1.0209, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.323, root_relative_squared_error: 1.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.9006, kappa: 0.0336, kb_relative_information_score: -2021.9297, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9014, predictive_accuracy: 0.8998, prior_entropy: 0.3037, recall: 0.8998, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3166, root_relative_squared_error: 1.4015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9813, kappa: 0.818, kb_relative_information_score: 3541.8446, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9768, kappa: 0.7764, kb_relative_information_score: 3217.0557, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9773, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.6795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.9062, kappa: -0.0286, kb_relative_information_score: -765.138, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8947, predictive_accuracy: 0.9182, prior_entropy: 0.3037, recall: 0.9182, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2861, root_relative_squared_error: 1.2664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.9668, kappa: 0.6612, kb_relative_information_score: 2652.2056, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9661, predictive_accuracy: 0.9682, prior_entropy: 0.3037, recall: 0.9682, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.9685, kappa: 0.6553, kb_relative_information_score: 2948.7519, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9721, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.892, kappa: -0.0571, kb_relative_information_score: -2558.5373, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8921, predictive_accuracy: 0.8919, prior_entropy: 0.3037, recall: 0.8919, relative_absolute_error: 1.0573, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.4554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.9775, kappa: 0.7675, kb_relative_information_score: 3372.3895, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9776, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6459,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.8936, kappa: -0.0341, kb_relative_information_score: -2502.0523, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8945, predictive_accuracy: 0.8927, prior_entropy: 0.3037, recall: 0.8927, relative_absolute_error: 1.0492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.4498,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.9086, kappa: -0.015, kb_relative_information_score: -525.0767, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8962, predictive_accuracy: 0.9217, prior_entropy: 0.3037, recall: 0.9217, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2799, root_relative_squared_error: 1.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.967, kappa: 0.6641, kb_relative_information_score: 2666.3268, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9663, predictive_accuracy: 0.9684, prior_entropy: 0.3037, recall: 0.9684, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.7872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9867, kappa: 0.8669, kb_relative_information_score: 3937.2397, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9866, predictive_accuracy: 0.987, prior_entropy: 0.3037, recall: 0.987, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.9209, kappa: 0.0144, kb_relative_information_score: 1169.4738, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9493, predictive_accuracy: 0.9465, prior_entropy: 0.3037, recall: 0.9465, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2314, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.9691, kappa: 0.6711, kb_relative_information_score: 2906.3881, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,

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