Task
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3510 Supervised Classification JapaneseVowels 11359 runs submitted
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  • OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.785, kappa: 0.7571, kb_relative_information_score: 0.7675, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7901, predictive_accuracy: 0.7864, prior_entropy: 3.1321, recall: 0.7864, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, kappa: -0.0199, kb_relative_information_score: 0.0474, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1016, prior_entropy: 3.1321, recall: 0.1016, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4468, root_relative_squared_error: 1.4267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0914, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9031, kappa: 0.8909, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9031, predictive_accuracy: 0.9037, prior_entropy: 3.1321, recall: 0.9037, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.3913, kappa: 0.3737, kb_relative_information_score: 0.3995, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.5291, predictive_accuracy: 0.4567, prior_entropy: 3.1321, recall: 0.4567, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3475, root_relative_squared_error: 1.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.3913, kappa: 0.3737, kb_relative_information_score: 0.3995, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.5291, predictive_accuracy: 0.4567, prior_entropy: 3.1321, recall: 0.4567, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3475, root_relative_squared_error: 1.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9964, kappa: 0.9959, kb_relative_information_score: 0.996, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 3.1321, recall: 0.9964, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0283, root_relative_squared_error: 0.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, kappa: 0.1756, kb_relative_information_score: 0.2324, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.3002, prior_entropy: 3.1321, recall: 0.3002, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9885, kappa: 0.987, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 3.1321, recall: 0.9886, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9933, kappa: 0.9924, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 3.1321, recall: 0.9933, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, kappa: -0.0097, kb_relative_information_score: 0.0538, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1047, prior_entropy: 3.1321, recall: 0.1047, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.446, root_relative_squared_error: 1.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8835, kappa: 0.8689, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.884, predictive_accuracy: 0.8843, prior_entropy: 3.1321, recall: 0.8843, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.915, kappa: 0.9039, kb_relative_information_score: 0.9079, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9152, predictive_accuracy: 0.9153, prior_entropy: 3.1321, recall: 0.9153, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, kappa: 0.0777, kb_relative_information_score: 0.146, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2155, prior_entropy: 3.1321, recall: 0.2155, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.1601, kappa: 0.0561, kb_relative_information_score: 0.128, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.3019, predictive_accuracy: 0.1838, prior_entropy: 3.1321, recall: 0.1838, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.1073, kappa: 0.0051, kb_relative_information_score: 0.0702, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.1338, predictive_accuracy: 0.1245, prior_entropy: 3.1321, recall: 0.1245, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4411, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.1601, kappa: 0.0561, kb_relative_information_score: 0.128, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.3019, predictive_accuracy: 0.1838, prior_entropy: 3.1321, recall: 0.1838, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.1601, kappa: 0.0561, kb_relative_information_score: 0.128, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.3019, predictive_accuracy: 0.1838, prior_entropy: 3.1321, recall: 0.1838, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, kappa: 0.0045, kb_relative_information_score: 0.0667, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1174, prior_entropy: 3.1321, recall: 0.1174, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.1601, kappa: 0.0561, kb_relative_information_score: 0.128, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.3019, predictive_accuracy: 0.1838, prior_entropy: 3.1321, recall: 0.1838, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, kappa: -0.0097, kb_relative_information_score: 0.0538, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1047, prior_entropy: 3.1321, recall: 0.1047, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.446, root_relative_squared_error: 1.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.16, kappa: 0.0964, kb_relative_information_score: 0.164, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.266, predictive_accuracy: 0.2271, prior_entropy: 3.1321, recall: 0.2271, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, kappa: 0.0666, kb_relative_information_score: 0.1368, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2064, prior_entropy: 3.1321, recall: 0.2064, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.1073, kappa: 0.0051, kb_relative_information_score: 0.0702, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.1338, predictive_accuracy: 0.1245, prior_entropy: 3.1321, recall: 0.1245, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4411, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, kappa: 0.1756, kb_relative_information_score: 0.2324, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.3002, prior_entropy: 3.1321, recall: 0.3002, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4712, kappa: -0.0573, kb_relative_information_score: 0.034, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.0954, prior_entropy: 3.1321, recall: 0.0954, relative_absolute_error: 1.0247, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4484, root_relative_squared_error: 1.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.1721, kappa: 0.0546, kb_relative_information_score: 0.1287, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.356, predictive_accuracy: 0.1795, prior_entropy: 3.1321, recall: 0.1795, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.427, root_relative_squared_error: 1.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, kappa: 0.1756, kb_relative_information_score: 0.2324, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.3002, prior_entropy: 3.1321, recall: 0.3002, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.5345, kappa: 0.5018, kb_relative_information_score: 0.5192, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6023, predictive_accuracy: 0.5645, prior_entropy: 3.1321, recall: 0.5645, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.5862, kappa: 0.5121, kb_relative_information_score: 0.5501, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6538, predictive_accuracy: 0.5734, prior_entropy: 3.1321, recall: 0.5734, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.16, kappa: 0.0964, kb_relative_information_score: 0.164, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.266, predictive_accuracy: 0.2271, prior_entropy: 3.1321, recall: 0.2271, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, kappa: -0.0244, kb_relative_information_score: 0.054, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1129, prior_entropy: 3.1321, recall: 0.1129, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.444, root_relative_squared_error: 1.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9959, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 3.1321, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9964, kappa: 0.9959, kb_relative_information_score: 0.996, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 3.1321, recall: 0.9964, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0283, root_relative_squared_error: 0.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9759, kappa: 0.9727, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 3.1321, recall: 0.9759, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.4568, kappa: 0.4288, kb_relative_information_score: 0.4528, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.5516, predictive_accuracy: 0.5022, prior_entropy: 3.1321, recall: 0.5022, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3326, root_relative_squared_error: 1.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9614, kappa: 0.9564, kb_relative_information_score: 0.9581, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 3.1321, recall: 0.9616, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.2951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kappa: -0.0014, kb_relative_information_score: 0.0564, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1049, prior_entropy: 3.1321, recall: 0.1049, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.446, root_relative_squared_error: 1.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9528, kappa: 0.9467, kb_relative_information_score: 0.9491, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 3.1321, recall: 0.9529, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kappa: -0.0009, kb_relative_information_score: 0.06, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1104, prior_entropy: 3.1321, recall: 0.1104, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kappa: -0.0009, kb_relative_information_score: 0.06, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1104, prior_entropy: 3.1321, recall: 0.1104, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kappa: -0.0027, kb_relative_information_score: 0.0589, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1094, prior_entropy: 3.1321, recall: 0.1094, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.915, kappa: 0.9039, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9152, predictive_accuracy: 0.9153, prior_entropy: 3.1321, recall: 0.9153, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9898, kappa: 0.9885, kb_relative_information_score: 0.9888, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 3.1321, recall: 0.9899, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, kappa: 0.0628, kb_relative_information_score: 0.1344, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2043, prior_entropy: 3.1321, recall: 0.2043, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4205, root_relative_squared_error: 1.3426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kappa: -0.0009, kb_relative_information_score: 0.06, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1104, prior_entropy: 3.1321, recall: 0.1104, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.723, kappa: 0.6779, kb_relative_information_score: 0.7067, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7492, predictive_accuracy: 0.7169, prior_entropy: 3.1321, recall: 0.7169, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0914, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, kappa: 0.0614, kb_relative_information_score: 0.1326, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.202, prior_entropy: 3.1321, recall: 0.202, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4211, root_relative_squared_error: 1.3446,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.6802, kappa: 0.6156, kb_relative_information_score: 0.6484, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7519, predictive_accuracy: 0.6636, prior_entropy: 3.1321, recall: 0.6636, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.873,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, kappa: 0.0695, kb_relative_information_score: 0.1397, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2098, prior_entropy: 3.1321, recall: 0.2098, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.419, root_relative_squared_error: 1.338,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9167, kappa: 0.9059, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9166, predictive_accuracy: 0.917, prior_entropy: 3.1321, recall: 0.917, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9579, kappa: 0.9523, kb_relative_information_score: 0.9546, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 3.1321, recall: 0.9578, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0914, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0914, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.5971, kappa: 0.5352, kb_relative_information_score: 0.5601, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6463, predictive_accuracy: 0.5948, prior_entropy: 3.1321, recall: 0.5948, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9167, kappa: 0.9059, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9166, predictive_accuracy: 0.917, prior_entropy: 3.1321, recall: 0.917, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9167, kappa: 0.9059, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9166, predictive_accuracy: 0.917, prior_entropy: 3.1321, recall: 0.917, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4337,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs