OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143201 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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143201 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.86, kappa: 0.1063, kb_relative_information_score: 0.2153, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8494, predictive_accuracy: 0.8912, prior_entropy: 0.4765, recall: 0.8912, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3298, root_relative_squared_error: 1.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.8497, kappa: 0.1055, kb_relative_information_score: 0.0306, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8373, predictive_accuracy: 0.8656, prior_entropy: 0.4765, recall: 0.8656, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3665, root_relative_squared_error: 1.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: 0.2522, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.4765, recall: 0.8964, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3219, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4704, f_measure: 0.8118, kappa: -0.0643, kb_relative_information_score: -0.3018, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8043, predictive_accuracy: 0.8196, prior_entropy: 0.4765, recall: 0.8196, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4632, f_measure: 0.8046, kappa: -0.0752, kb_relative_information_score: -0.3941, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8024, predictive_accuracy: 0.8068, prior_entropy: 0.4765, recall: 0.8068, relative_absolute_error: 1.0491, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4396, root_relative_squared_error: 1.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4696, f_measure: 0.8193, kappa: -0.0741, kb_relative_information_score: -0.1679, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8015, predictive_accuracy: 0.8381, prior_entropy: 0.4765, recall: 0.8381, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4704, f_measure: 0.8118, kappa: -0.0643, kb_relative_information_score: -0.3018, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8043, predictive_accuracy: 0.8196, prior_entropy: 0.4765, recall: 0.8196, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.8453, kappa: 0.0706, kb_relative_information_score: 0.0168, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8307, predictive_accuracy: 0.8637, prior_entropy: 0.4765, recall: 0.8637, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3692, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.8689, kappa: 0.1431, kb_relative_information_score: 0.3168, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9025, predictive_accuracy: 0.9053, prior_entropy: 0.4765, recall: 0.9053, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.7996, kappa: -0.0979, kb_relative_information_score: -0.4356, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7982, predictive_accuracy: 0.801, prior_entropy: 0.4765, recall: 0.801, relative_absolute_error: 1.0803, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4461, root_relative_squared_error: 1.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.457, f_measure: 0.8027, kappa: -0.0885, kb_relative_information_score: -0.4033, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7999, predictive_accuracy: 0.8055, prior_entropy: 0.4765, recall: 0.8055, relative_absolute_error: 1.056, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.441, root_relative_squared_error: 1.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.8453, kappa: 0.0706, kb_relative_information_score: 0.0168, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8307, predictive_accuracy: 0.8637, prior_entropy: 0.4765, recall: 0.8637, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3692, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.846, kappa: 0.077, kb_relative_information_score: 0.0168, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8319, predictive_accuracy: 0.8637, prior_entropy: 0.4765, recall: 0.8637, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3692, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, f_measure: 0.8013, kappa: -0.0797, kb_relative_information_score: -0.4356, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8016, predictive_accuracy: 0.801, prior_entropy: 0.4765, recall: 0.801, relative_absolute_error: 1.0803, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4461, root_relative_squared_error: 1.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4775, f_measure: 0.8287, kappa: -0.0614, kb_relative_information_score: -0.0294, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8019, predictive_accuracy: 0.8573, prior_entropy: 0.4765, recall: 0.8573, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3777, root_relative_squared_error: 1.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.8712, kappa: 0.1605, kb_relative_information_score: 0.3214, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9001, predictive_accuracy: 0.906, prior_entropy: 0.4765, recall: 0.906, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4604, f_measure: 0.8017, kappa: -0.0792, kb_relative_information_score: -0.431, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8017, predictive_accuracy: 0.8017, prior_entropy: 0.4765, recall: 0.8017, relative_absolute_error: 1.0769, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4453, root_relative_squared_error: 1.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.8554, kappa: 0.0534, kb_relative_information_score: 0.2522, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8523, predictive_accuracy: 0.8964, prior_entropy: 0.4765, recall: 0.8964, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3219, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.861, kappa: 0.1018, kb_relative_information_score: 0.2476, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8566, predictive_accuracy: 0.8957, prior_entropy: 0.4765, recall: 0.8957, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3229, root_relative_squared_error: 1.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.861, kappa: 0.1018, kb_relative_information_score: 0.2476, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8566, predictive_accuracy: 0.8957, prior_entropy: 0.4765, recall: 0.8957, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3229, root_relative_squared_error: 1.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.855, kappa: 0.1097, kb_relative_information_score: 0.1137, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8406, predictive_accuracy: 0.8772, prior_entropy: 0.4765, recall: 0.8772, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3505, root_relative_squared_error: 1.1562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.855, kappa: 0.1097, kb_relative_information_score: 0.1137, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8406, predictive_accuracy: 0.8772, prior_entropy: 0.4765, recall: 0.8772, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3505, root_relative_squared_error: 1.1562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, f_measure: 0.7991, kappa: -0.0932, kb_relative_information_score: -0.4495, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7991, predictive_accuracy: 0.7991, prior_entropy: 0.4765, recall: 0.7991, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.8024, kappa: -0.0782, kb_relative_information_score: -0.4218, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8029, prior_entropy: 0.4765, recall: 0.8029, relative_absolute_error: 1.0699, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.8024, kappa: -0.0782, kb_relative_information_score: -0.4218, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8029, prior_entropy: 0.4765, recall: 0.8029, relative_absolute_error: 1.0699, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.861, kappa: 0.1018, kb_relative_information_score: 0.2476, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8566, predictive_accuracy: 0.8957, prior_entropy: 0.4765, recall: 0.8957, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3229, root_relative_squared_error: 1.0653,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4524, f_measure: 0.8003, kappa: -0.097, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7984, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4524, f_measure: 0.8003, kappa: -0.097, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7984, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.8618, kappa: 0.0968, kb_relative_information_score: 0.2799, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8746, predictive_accuracy: 0.9002, prior_entropy: 0.4765, recall: 0.9002, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3159, root_relative_squared_error: 1.0422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.8028, kappa: -0.0777, kb_relative_information_score: -0.4172, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8019, predictive_accuracy: 0.8036, prior_entropy: 0.4765, recall: 0.8036, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4432, root_relative_squared_error: 1.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.8686, kappa: 0.1494, kb_relative_information_score: 0.2937, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8791, predictive_accuracy: 0.9021, prior_entropy: 0.4765, recall: 0.9021, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.818, kappa: -0.0706, kb_relative_information_score: -0.1956, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8025, predictive_accuracy: 0.8343, prior_entropy: 0.4765, recall: 0.8343, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, f_measure: 0.8009, kappa: -0.0802, kb_relative_information_score: -0.4402, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8015, predictive_accuracy: 0.8004, prior_entropy: 0.4765, recall: 0.8004, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4468, root_relative_squared_error: 1.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4603, f_measure: 0.8082, kappa: -0.0864, kb_relative_information_score: -0.3248, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8002, predictive_accuracy: 0.8164, prior_entropy: 0.4765, recall: 0.8164, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.4136,

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