Task
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18520 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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18520 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.6976, kappa: 0.6689, kb_relative_information_score: 0.657, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1653, weighted_recall: 0.699, number_of_instances: 990, precision: 0.7005, predictive_accuracy: 0.699, prior_entropy: 3.4594, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.684, unweighted_recall: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3459, kappa: 0.0956, kb_relative_information_score: 0.0002, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, weighted_recall: 0.1778, number_of_instances: 990, predictive_accuracy: 0.1778, prior_entropy: 3.4594, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1, unweighted_recall: 0.1778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9956, kb_relative_information_score: 0.9698, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1653, weighted_recall: 0.996, number_of_instances: 990, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 3.4594, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.1209, unweighted_recall: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9956, kb_relative_information_score: 0.9693, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1653, weighted_recall: 0.996, number_of_instances: 990, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 3.4594, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.1241, unweighted_recall: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.3126, kappa: 0.2867, kb_relative_information_score: 0.2191, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1653, weighted_recall: 0.3515, number_of_instances: 990, precision: 0.3192, predictive_accuracy: 0.3515, prior_entropy: 3.4594, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9505, unweighted_recall: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9817, kappa: 0.98, kb_relative_information_score: 0.9433, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9818, number_of_instances: 990, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 3.4594, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2196, unweighted_recall: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9956, kb_relative_information_score: 0.97, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1653, weighted_recall: 0.996, number_of_instances: 990, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 3.4594, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0341, root_relative_squared_error: 0.1186, unweighted_recall: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9313, kappa: 0.9244, kb_relative_information_score: 0.8958, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9313, number_of_instances: 990, precision: 0.9325, predictive_accuracy: 0.9313, prior_entropy: 3.4594, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.3491, unweighted_recall: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.3791, kappa: 0.35, kb_relative_information_score: 0.2549, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.1653, weighted_recall: 0.4091, number_of_instances: 990, precision: 0.3742, predictive_accuracy: 0.4091, prior_entropy: 3.4594, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.9138, unweighted_recall: 0.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.7482, kappa: 0.7244, kb_relative_information_score: 0.7085, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.1653, weighted_recall: 0.7495, number_of_instances: 990, precision: 0.7501, predictive_accuracy: 0.7495, prior_entropy: 3.4594, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6278, unweighted_recall: 0.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8116, kappa: 0.7944, kb_relative_information_score: 0.7735, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8131, number_of_instances: 990, precision: 0.8119, predictive_accuracy: 0.8131, prior_entropy: 3.4594, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.5453, unweighted_recall: 0.8131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.996, kappa: 0.9956, kb_relative_information_score: 0.9672, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1653, weighted_recall: 0.996, number_of_instances: 990, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 3.4594, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0394, root_relative_squared_error: 0.1371, unweighted_recall: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9848, kappa: 0.9833, kb_relative_information_score: 0.9587, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9848, number_of_instances: 990, precision: 0.9849, predictive_accuracy: 0.9848, prior_entropy: 3.4594, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.052, root_relative_squared_error: 0.181, unweighted_recall: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9653, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9929, number_of_instances: 990, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0424, root_relative_squared_error: 0.1476, unweighted_recall: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.6448, kappa: 0.61, kb_relative_information_score: 0.5776, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6455, number_of_instances: 990, precision: 0.6499, predictive_accuracy: 0.6455, prior_entropy: 3.4594, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7579, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.4244, kappa: 0.4122, kb_relative_information_score: 0.2733, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1653, weighted_recall: 0.4657, number_of_instances: 990, precision: 0.4595, predictive_accuracy: 0.4657, prior_entropy: 3.4594, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.9107, unweighted_recall: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.6448, kappa: 0.61, kb_relative_information_score: 0.5778, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6455, number_of_instances: 990, precision: 0.6496, predictive_accuracy: 0.6455, prior_entropy: 3.4594, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.7576, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.6448, kappa: 0.61, kb_relative_information_score: 0.5776, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6455, number_of_instances: 990, precision: 0.6499, predictive_accuracy: 0.6455, prior_entropy: 3.4594, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7579, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8147, kappa: 0.7967, kb_relative_information_score: 0.7838, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8152, number_of_instances: 990, precision: 0.815, predictive_accuracy: 0.8152, prior_entropy: 3.4594, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5606, unweighted_recall: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.742, kappa: 0.7189, kb_relative_information_score: 0.6765, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1653, weighted_recall: 0.7444, number_of_instances: 990, precision: 0.7447, predictive_accuracy: 0.7444, prior_entropy: 3.4594, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6625, unweighted_recall: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.4244, kappa: 0.4122, kb_relative_information_score: 0.2733, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1653, weighted_recall: 0.4657, number_of_instances: 990, precision: 0.4595, predictive_accuracy: 0.4657, prior_entropy: 3.4594, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.9107, unweighted_recall: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.5904, kappa: 0.56, kb_relative_information_score: 0.5039, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6, number_of_instances: 990, precision: 0.5974, predictive_accuracy: 0.6, prior_entropy: 3.4594, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.795, unweighted_recall: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.6364, kappa: 0.6056, kb_relative_information_score: 0.5623, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6414, number_of_instances: 990, precision: 0.6404, predictive_accuracy: 0.6414, prior_entropy: 3.4594, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.7659, unweighted_recall: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.6364, kappa: 0.6056, kb_relative_information_score: 0.5623, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6414, number_of_instances: 990, precision: 0.6404, predictive_accuracy: 0.6414, prior_entropy: 3.4594, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.7659, unweighted_recall: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.6412, kappa: 0.6078, kb_relative_information_score: 0.5745, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6434, number_of_instances: 990, precision: 0.645, predictive_accuracy: 0.6434, prior_entropy: 3.4594, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.7596, unweighted_recall: 0.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.6434, kappa: 0.6133, kb_relative_information_score: 0.5662, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6485, number_of_instances: 990, precision: 0.6478, predictive_accuracy: 0.6485, prior_entropy: 3.4594, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.7639, unweighted_recall: 0.6485,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.5383, kappa: 0.5122, kb_relative_information_score: 0.4155, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5566, number_of_instances: 990, precision: 0.5499, predictive_accuracy: 0.5566, prior_entropy: 3.4594, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.8516, unweighted_recall: 0.5566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.5383, kappa: 0.5122, kb_relative_information_score: 0.4155, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5566, number_of_instances: 990, precision: 0.5499, predictive_accuracy: 0.5566, prior_entropy: 3.4594, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.8516, unweighted_recall: 0.5566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.5194, kappa: 0.5022, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5475, number_of_instances: 990, precision: 0.5398, predictive_accuracy: 0.5475, prior_entropy: 3.4594, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8588, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.5194, kappa: 0.5022, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5475, number_of_instances: 990, precision: 0.5398, predictive_accuracy: 0.5475, prior_entropy: 3.4594, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8588, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.5194, kappa: 0.5022, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5475, number_of_instances: 990, precision: 0.5398, predictive_accuracy: 0.5475, prior_entropy: 3.4594, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8588, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.5194, kappa: 0.5022, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5475, number_of_instances: 990, precision: 0.5398, predictive_accuracy: 0.5475, prior_entropy: 3.4594, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8588, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.5194, kappa: 0.5022, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5475, number_of_instances: 990, precision: 0.5398, predictive_accuracy: 0.5475, prior_entropy: 3.4594, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8588, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.5194, kappa: 0.5022, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5475, number_of_instances: 990, precision: 0.5398, predictive_accuracy: 0.5475, prior_entropy: 3.4594, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8588, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.5194, kappa: 0.5022, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5475, number_of_instances: 990, precision: 0.5398, predictive_accuracy: 0.5475, prior_entropy: 3.4594, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8588, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.5194, kappa: 0.5022, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1653, weighted_recall: 0.5475, number_of_instances: 990, precision: 0.5398, predictive_accuracy: 0.5475, prior_entropy: 3.4594, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8588, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.6439, kappa: 0.61, kb_relative_information_score: 0.5773, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6455, number_of_instances: 990, precision: 0.6483, predictive_accuracy: 0.6455, prior_entropy: 3.4594, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.758, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.6439, kappa: 0.61, kb_relative_information_score: 0.5773, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6455, number_of_instances: 990, precision: 0.6483, predictive_accuracy: 0.6455, prior_entropy: 3.4594, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.758, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.6439, kappa: 0.61, kb_relative_information_score: 0.5773, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6455, number_of_instances: 990, precision: 0.6483, predictive_accuracy: 0.6455, prior_entropy: 3.4594, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.758, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.6439, kappa: 0.61, kb_relative_information_score: 0.5773, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6455, number_of_instances: 990, precision: 0.6483, predictive_accuracy: 0.6455, prior_entropy: 3.4594, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.758, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.6439, kappa: 0.61, kb_relative_information_score: 0.5773, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1653, weighted_recall: 0.6455, number_of_instances: 990, precision: 0.6483, predictive_accuracy: 0.6455, prior_entropy: 3.4594, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.758, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.5891, kappa: 0.5644, kb_relative_information_score: 0.4964, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1653, weighted_recall: 0.604, number_of_instances: 990, precision: 0.5934, predictive_accuracy: 0.604, prior_entropy: 3.4594, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8058, unweighted_recall: 0.604,

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