OpenML
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 60368 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k
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60368 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9087, kb_relative_information_score: 3.5287, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9873, kappa: 0.8881, kb_relative_information_score: 11491.4047, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9872, predictive_accuracy: 0.9875, prior_entropy: 0.3338, recall: 0.9875, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9883, kappa: 0.8975, kb_relative_information_score: 11779.6291, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9883, predictive_accuracy: 0.9885, prior_entropy: 0.3338, recall: 0.9885, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9882, kappa: 0.8968, kb_relative_information_score: 11784.8949, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9882, predictive_accuracy: 0.9884, prior_entropy: 0.3338, recall: 0.9884, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9882, kappa: 0.896, kb_relative_information_score: 11758.4693, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9881, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9581, kappa: 0.5966, kb_relative_information_score: 5174.7816, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9604, predictive_accuracy: 0.9632, prior_entropy: 0.3338, recall: 0.9632, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9885, kappa: 0.8997, kb_relative_information_score: 11876.6572, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9885, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9648, kappa: 0.6645, kb_relative_information_score: 6790.4326, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9671, predictive_accuracy: 0.9686, prior_entropy: 0.3338, recall: 0.9686, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.963, kappa: 0.6464, kb_relative_information_score: 6542.8866, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9655, predictive_accuracy: 0.9672, prior_entropy: 0.3338, recall: 0.9672, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9087, kb_relative_information_score: 10.1998, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9087, kb_relative_information_score: 10.1997, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9087, kb_relative_information_score: 10.1997, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9948, kappa: 0.9554, kb_relative_information_score: 12867.9273, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.3338, recall: 0.9948, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9947, kappa: 0.9541, kb_relative_information_score: 12877.754, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.3338, recall: 0.9947, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9087, kb_relative_information_score: 10.1998, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9087, kb_relative_information_score: 10.1998, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9937, kappa: 0.9458, kb_relative_information_score: 12647.5798, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.3338, recall: 0.9937, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9892, kappa: 0.904, kb_relative_information_score: 9458.7124, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9916, kappa: 0.9264, kb_relative_information_score: 11514.3348, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9916, predictive_accuracy: 0.9917, prior_entropy: 0.3338, recall: 0.9917, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9928, kappa: 0.9372, kb_relative_information_score: 10450.1533, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9928, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9918, kappa: 0.928, kb_relative_information_score: 11429.0848, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9918, predictive_accuracy: 0.9919, prior_entropy: 0.3338, recall: 0.9919, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9936, kappa: 0.9447, kb_relative_information_score: 12269.909, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9922, kappa: 0.9321, kb_relative_information_score: 11673.9695, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 0.3338, recall: 0.9923, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.3342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9682, kappa: 0.6948, kb_relative_information_score: 4858.9718, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.972, predictive_accuracy: 0.9719, prior_entropy: 0.3338, recall: 0.9719, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9924, kappa: 0.9342, kb_relative_information_score: 11807.7712, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.3284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9879, kappa: 0.8921, kb_relative_information_score: 7996.586, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9906, kappa: 0.9175, kb_relative_information_score: 11008.585, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9906, predictive_accuracy: 0.9908, prior_entropy: 0.3338, recall: 0.9908, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.089, root_relative_squared_error: 0.3702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9932, kappa: 0.9404, kb_relative_information_score: 11436.5085, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9931, predictive_accuracy: 0.9932, prior_entropy: 0.3338, recall: 0.9932, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9919, kappa: 0.9293, kb_relative_information_score: 11476.0117, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.3338, recall: 0.992, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9917, kappa: 0.9265, kb_relative_information_score: 9349.8398, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9917, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9933, kappa: 0.9421, kb_relative_information_score: 12237.6539, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9937, kappa: 0.9457, kb_relative_information_score: 12488.6502, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.3338, recall: 0.9937, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.2929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9926, kappa: 0.9351, kb_relative_information_score: 11350.0012, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9902, kappa: 0.9131, kb_relative_information_score: 8846.3518, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9903, predictive_accuracy: 0.9904, prior_entropy: 0.3338, recall: 0.9904, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9875, kappa: 0.8878, kb_relative_information_score: 7806.853, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9877, predictive_accuracy: 0.9879, prior_entropy: 0.3338, recall: 0.9879, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9936, kappa: 0.9444, kb_relative_information_score: 12599.8558, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.994, kappa: 0.9478, kb_relative_information_score: 12318.5247, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.3338, recall: 0.994, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.2967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9925, kappa: 0.9345, kb_relative_information_score: 11561.5404, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.079, root_relative_squared_error: 0.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9919, kappa: 0.9295, kb_relative_information_score: 11610.6059, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.3338, recall: 0.992, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.3361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9899, kappa: 0.9109, kb_relative_information_score: 10014.5923, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9945, kappa: 0.9522, kb_relative_information_score: 12522.0147, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9939, kappa: 0.9473, kb_relative_information_score: 12350.0059, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.3338, recall: 0.9939, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.2939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9931, kappa: 0.9394, kb_relative_information_score: 11138.6244, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9941, kappa: 0.949, kb_relative_information_score: 12352.0778, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.3338, recall: 0.9941, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9912, kappa: 0.9224, kb_relative_information_score: 10682.8577, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.3338, recall: 0.9913, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.3669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9903, kappa: 0.915, kb_relative_information_score: 11001.5165, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9903, predictive_accuracy: 0.9905, prior_entropy: 0.3338, recall: 0.9905, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.3707,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9939, kappa: 0.9474, kb_relative_information_score: 12441.967, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.3338, recall: 0.9939, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.071, root_relative_squared_error: 0.2956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9934, kappa: 0.9426, kb_relative_information_score: 12530.7719, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9888, kappa: 0.9027, kb_relative_information_score: 12064.1718, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3816,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9915, kappa: 0.9267, kb_relative_information_score: 12415.2507, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3338, recall: 0.9915, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.3302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9893, kappa: 0.9065, kb_relative_information_score: 11991.6711, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9922, kappa: 0.9331, kb_relative_information_score: 12497.5322, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9923, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9919, kappa: 0.9306, kb_relative_information_score: 12459.3347, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 0.3338, recall: 0.9919, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9492, kappa: 0.5099, kb_relative_information_score: 5698.7511, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9496, predictive_accuracy: 0.9555, prior_entropy: 0.3338, recall: 0.9555, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9517, kappa: 0.538, kb_relative_information_score: 6049.3814, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.952, predictive_accuracy: 0.9572, prior_entropy: 0.3338, recall: 0.9572, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.7522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9696, kappa: 0.7239, kb_relative_information_score: 8364.2249, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9693, predictive_accuracy: 0.9711, prior_entropy: 0.3338, recall: 0.9711, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.149, root_relative_squared_error: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9705, kappa: 0.7286, kb_relative_information_score: 7623.6959, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9707, predictive_accuracy: 0.9724, prior_entropy: 0.3338, recall: 0.9724, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.6471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9561, kappa: 0.5862, kb_relative_information_score: 6640.1482, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.956, predictive_accuracy: 0.9603, prior_entropy: 0.3338, recall: 0.9603, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.952, kappa: 0.5407, kb_relative_information_score: 6080.3685, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9522, predictive_accuracy: 0.9573, prior_entropy: 0.3338, recall: 0.9573, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9869, kappa: 0.8849, kb_relative_information_score: 11525.4584, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9869, predictive_accuracy: 0.9871, prior_entropy: 0.3338, recall: 0.9871, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4147,

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