Task
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 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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18971 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9768, kappa: 0.9744, kb_relative_information_score: 0.8204, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9768, number_of_instances: 990, precision: 0.9771, predictive_accuracy: 0.9768, prior_entropy: 3.4594, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.4304, unweighted_recall: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9029, kappa: 0.8944, kb_relative_information_score: 0.6121, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1653, weighted_recall: 0.904, number_of_instances: 990, precision: 0.9051, predictive_accuracy: 0.904, prior_entropy: 3.4594, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6915, unweighted_recall: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9545, kappa: 0.95, kb_relative_information_score: 0.8976, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9545, number_of_instances: 990, precision: 0.9546, predictive_accuracy: 0.9545, prior_entropy: 3.4594, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3439, unweighted_recall: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9635, kappa: 0.96, kb_relative_information_score: 0.7982, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9636, number_of_instances: 990, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 3.4594, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4715, unweighted_recall: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.8897, kappa: 0.88, kb_relative_information_score: 0.7028, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8909, number_of_instances: 990, precision: 0.8904, predictive_accuracy: 0.8909, prior_entropy: 3.4594, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.6045, unweighted_recall: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9646, kappa: 0.9611, kb_relative_information_score: 0.7299, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9646, number_of_instances: 990, precision: 0.9653, predictive_accuracy: 0.9646, prior_entropy: 3.4594, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5475, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9367, kappa: 0.9311, kb_relative_information_score: 0.8111, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9374, number_of_instances: 990, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 3.4594, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.4668, unweighted_recall: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9808, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.365, unweighted_recall: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9707, kappa: 0.9678, kb_relative_information_score: 0.7902, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9707, number_of_instances: 990, precision: 0.971, predictive_accuracy: 0.9707, prior_entropy: 3.4594, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4714, unweighted_recall: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.739, kappa: 0.7167, kb_relative_information_score: 0.6034, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1653, weighted_recall: 0.7424, number_of_instances: 990, precision: 0.7405, predictive_accuracy: 0.7424, prior_entropy: 3.4594, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.7093, unweighted_recall: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9706, kappa: 0.9678, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9707, number_of_instances: 990, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 3.4594, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.4161, unweighted_recall: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9758, kappa: 0.9733, kb_relative_information_score: 0.8305, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9758, number_of_instances: 990, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.4594, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.4193, unweighted_recall: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8966, kappa: 0.8878, kb_relative_information_score: 0.675, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1653, weighted_recall: 0.898, number_of_instances: 990, precision: 0.8988, predictive_accuracy: 0.898, prior_entropy: 3.4594, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6315, unweighted_recall: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9236, kappa: 0.9167, kb_relative_information_score: 0.6871, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9242, number_of_instances: 990, precision: 0.9247, predictive_accuracy: 0.9242, prior_entropy: 3.4594, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.6136, unweighted_recall: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9235, kappa: 0.9167, kb_relative_information_score: 0.5746, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9242, number_of_instances: 990, precision: 0.9269, predictive_accuracy: 0.9242, prior_entropy: 3.4594, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.7205, unweighted_recall: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9727, kappa: 0.97, kb_relative_information_score: 0.83, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9727, number_of_instances: 990, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.4594, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.4201, unweighted_recall: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.927, kappa: 0.92, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9273, number_of_instances: 990, precision: 0.927, predictive_accuracy: 0.9273, prior_entropy: 3.4594, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3851, unweighted_recall: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7631, kappa: 0.7467, kb_relative_information_score: 0.374, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.1653, weighted_recall: 0.7697, number_of_instances: 990, precision: 0.7684, predictive_accuracy: 0.7697, prior_entropy: 3.4594, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.8565, unweighted_recall: 0.7697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9624, kappa: 0.9589, kb_relative_information_score: 0.8494, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9626, number_of_instances: 990, precision: 0.9628, predictive_accuracy: 0.9626, prior_entropy: 3.4594, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.406, unweighted_recall: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9727, kappa: 0.97, kb_relative_information_score: 0.79, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9727, number_of_instances: 990, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.4594, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4696, unweighted_recall: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9697, kappa: 0.9667, kb_relative_information_score: 0.8147, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9697, number_of_instances: 990, precision: 0.9702, predictive_accuracy: 0.9697, prior_entropy: 3.4594, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4436, unweighted_recall: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9677, kappa: 0.9644, kb_relative_information_score: 0.7674, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9677, number_of_instances: 990, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.4594, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.5031, unweighted_recall: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9676, kappa: 0.9644, kb_relative_information_score: 0.7827, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9677, number_of_instances: 990, precision: 0.9687, predictive_accuracy: 0.9677, prior_entropy: 3.4594, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.139, root_relative_squared_error: 0.4837, unweighted_recall: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.8756, kappa: 0.8656, kb_relative_information_score: 0.527, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8778, number_of_instances: 990, precision: 0.8839, predictive_accuracy: 0.8778, prior_entropy: 3.4594, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7641, unweighted_recall: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9545, kappa: 0.95, kb_relative_information_score: 0.8716, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9545, number_of_instances: 990, precision: 0.9553, predictive_accuracy: 0.9545, prior_entropy: 3.4594, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.3767, unweighted_recall: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.931, kappa: 0.9244, kb_relative_information_score: 0.5506, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9313, number_of_instances: 990, precision: 0.933, predictive_accuracy: 0.9313, prior_entropy: 3.4594, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.7383, unweighted_recall: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9327, kappa: 0.9267, kb_relative_information_score: 0.78, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9333, number_of_instances: 990, precision: 0.933, predictive_accuracy: 0.9333, prior_entropy: 3.4594, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.5088, unweighted_recall: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9244, kappa: 0.9178, kb_relative_information_score: 0.5803, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9253, number_of_instances: 990, precision: 0.9274, predictive_accuracy: 0.9253, prior_entropy: 3.4594, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.7133, unweighted_recall: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9493, kappa: 0.9444, kb_relative_information_score: 0.6933, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9495, number_of_instances: 990, precision: 0.9507, predictive_accuracy: 0.9495, prior_entropy: 3.4594, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.6007, unweighted_recall: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.8551, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9808, number_of_instances: 990, precision: 0.9811, predictive_accuracy: 0.9808, prior_entropy: 3.4594, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.3767, unweighted_recall: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8556, kappa: 0.8433, kb_relative_information_score: 0.4058, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8576, number_of_instances: 990, precision: 0.8641, predictive_accuracy: 0.8576, prior_entropy: 3.4594, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.8431, unweighted_recall: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9575, kappa: 0.9533, kb_relative_information_score: 0.854, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9576, number_of_instances: 990, precision: 0.9579, predictive_accuracy: 0.9576, prior_entropy: 3.4594, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3986, unweighted_recall: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9636, kappa: 0.96, kb_relative_information_score: 0.8939, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9636, number_of_instances: 990, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 3.4594, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.3436, unweighted_recall: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9584, kappa: 0.9544, kb_relative_information_score: 0.7338, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9586, number_of_instances: 990, precision: 0.9592, predictive_accuracy: 0.9586, prior_entropy: 3.4594, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.5443, unweighted_recall: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9064, kappa: 0.8978, kb_relative_information_score: 0.6059, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9071, number_of_instances: 990, precision: 0.9095, predictive_accuracy: 0.9071, prior_entropy: 3.4594, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6969, unweighted_recall: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8245, kappa: 0.8111, kb_relative_information_score: 0.4704, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8283, number_of_instances: 990, precision: 0.8358, predictive_accuracy: 0.8283, prior_entropy: 3.4594, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.8061, unweighted_recall: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9473, kappa: 0.9422, kb_relative_information_score: 0.8318, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9475, number_of_instances: 990, precision: 0.948, predictive_accuracy: 0.9475, prior_entropy: 3.4594, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.4337, unweighted_recall: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9789, kappa: 0.9767, kb_relative_information_score: 0.8477, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9788, number_of_instances: 990, precision: 0.9792, predictive_accuracy: 0.9788, prior_entropy: 3.4594, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3888, unweighted_recall: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9665, kappa: 0.9633, kb_relative_information_score: 0.8541, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9667, number_of_instances: 990, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 3.4594, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3926, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9564, kappa: 0.9522, kb_relative_information_score: 0.8191, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9566, number_of_instances: 990, precision: 0.957, predictive_accuracy: 0.9566, prior_entropy: 3.4594, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.4458, unweighted_recall: 0.9566,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.952, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.952, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2905, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.952, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.952, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2905, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9546, kappa: 0.95, kb_relative_information_score: 0.9485, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9545, number_of_instances: 990, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 3.4594, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2958, unweighted_recall: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9546, kappa: 0.95, kb_relative_information_score: 0.9485, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9545, number_of_instances: 990, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 3.4594, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2958, unweighted_recall: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.9503, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.9521, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2982, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9008, kappa: 0.8911, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1653, weighted_recall: 0.901, number_of_instances: 990, precision: 0.9019, predictive_accuracy: 0.901, prior_entropy: 3.4594, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.4274, unweighted_recall: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9687, kappa: 0.9656, kb_relative_information_score: 0.9385, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9687, number_of_instances: 990, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 3.4594, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.2515, unweighted_recall: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.952, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.952, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2905, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.952, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.952, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2905, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.9503, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.9521, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2982, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9546, kappa: 0.95, kb_relative_information_score: 0.9485, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9545, number_of_instances: 990, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 3.4594, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2958, unweighted_recall: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9546, kappa: 0.95, kb_relative_information_score: 0.9485, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9545, number_of_instances: 990, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 3.4594, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2958, unweighted_recall: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.952, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.952, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2905, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8842, kappa: 0.8733, kb_relative_information_score: 0.8357, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8848, number_of_instances: 990, precision: 0.8844, predictive_accuracy: 0.8848, prior_entropy: 3.4594, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4537, unweighted_recall: 0.8848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.3955, kappa: 0.3978, kb_relative_information_score: 0.3305, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1653, weighted_recall: 0.4525, number_of_instances: 990, precision: 0.413, predictive_accuracy: 0.4525, prior_entropy: 3.4594, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.8986, unweighted_recall: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9888, kappa: 0.9878, kb_relative_information_score: 0.9527, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9889, number_of_instances: 990, precision: 0.9888, predictive_accuracy: 0.9889, prior_entropy: 3.4594, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1874, unweighted_recall: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9939, kappa: 0.9933, kb_relative_information_score: 0.9678, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9939, number_of_instances: 990, precision: 0.994, predictive_accuracy: 0.9939, prior_entropy: 3.4594, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.1319, unweighted_recall: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.7267, kappa: 0.7167, kb_relative_information_score: 0.5329, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1653, weighted_recall: 0.7424, number_of_instances: 990, precision: 0.771, predictive_accuracy: 0.7424, prior_entropy: 3.4594, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.7601, unweighted_recall: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8179, kappa: 0.8, kb_relative_information_score: 0.7726, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8182, number_of_instances: 990, precision: 0.8198, predictive_accuracy: 0.8182, prior_entropy: 3.4594, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5598, unweighted_recall: 0.8182,

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