Task
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 22833 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_7 study_98 study_99
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22833 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.7143, kappa: 0.6719, kb_relative_information_score: 0.6873, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7083, number_of_instances: 1080, precision: 0.7535, predictive_accuracy: 0.7083, prior_entropy: 3.1699, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6261, unweighted_recall: 0.7083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7101, kappa: 0.6677, kb_relative_information_score: 0.6985, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7046, number_of_instances: 1080, precision: 0.7335, predictive_accuracy: 0.7046, prior_entropy: 3.1699, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.623, unweighted_recall: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8075, kappa: 0.7802, kb_relative_information_score: 0.79, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8046, number_of_instances: 1080, precision: 0.8173, predictive_accuracy: 0.8046, prior_entropy: 3.1699, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5384, unweighted_recall: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.6877, kappa: 0.6427, kb_relative_information_score: 0.6609, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1975, weighted_recall: 0.6824, number_of_instances: 1080, precision: 0.7066, predictive_accuracy: 0.6824, prior_entropy: 3.1699, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.652, unweighted_recall: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7224, kappa: 0.6813, kb_relative_information_score: 0.698, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7167, number_of_instances: 1080, precision: 0.7424, predictive_accuracy: 0.7167, prior_entropy: 3.1699, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6189, unweighted_recall: 0.7167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.6261, kappa: 0.5677, kb_relative_information_score: 0.5846, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1975, weighted_recall: 0.6157, number_of_instances: 1080, precision: 0.6692, predictive_accuracy: 0.6157, prior_entropy: 3.1699, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.705, unweighted_recall: 0.6157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.6459, kappa: 0.5979, kb_relative_information_score: 0.6177, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1975, weighted_recall: 0.6426, number_of_instances: 1080, precision: 0.6691, predictive_accuracy: 0.6426, prior_entropy: 3.1699, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.6813, unweighted_recall: 0.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.7046, kappa: 0.6677, kb_relative_information_score: 0.6876, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7046, number_of_instances: 1080, precision: 0.7126, predictive_accuracy: 0.7046, prior_entropy: 3.1699, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6409, unweighted_recall: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.7551, kappa: 0.7177, kb_relative_information_score: 0.7265, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7491, number_of_instances: 1080, precision: 0.7746, predictive_accuracy: 0.7491, prior_entropy: 3.1699, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5904, unweighted_recall: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, kappa: 0.1063, kb_relative_information_score: 0.1333, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, weighted_recall: 0.2056, number_of_instances: 1080, predictive_accuracy: 0.2056, prior_entropy: 3.1699, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, unweighted_recall: 0.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.024, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.0017, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9603, kappa: 0.9552, kb_relative_information_score: 0.9557, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9602, number_of_instances: 1080, precision: 0.9606, predictive_accuracy: 0.9602, prior_entropy: 3.1699, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.2635, unweighted_recall: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8358, kappa: 0.8115, kb_relative_information_score: 0.6641, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8324, number_of_instances: 1080, precision: 0.8685, predictive_accuracy: 0.8324, prior_entropy: 3.1699, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.5991, unweighted_recall: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9337, kappa: 0.925, kb_relative_information_score: 0.9298, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9333, number_of_instances: 1080, precision: 0.9348, predictive_accuracy: 0.9333, prior_entropy: 3.1699, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3873, unweighted_recall: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, kappa: 0.1063, kb_relative_information_score: 0.1333, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, weighted_recall: 0.2056, number_of_instances: 1080, predictive_accuracy: 0.2056, prior_entropy: 3.1699, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, unweighted_recall: 0.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9389, kappa: 0.9313, kb_relative_information_score: 0.9381, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9389, number_of_instances: 1080, precision: 0.9395, predictive_accuracy: 0.9389, prior_entropy: 3.1699, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3485, unweighted_recall: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.871, kappa: 0.8531, kb_relative_information_score: 0.8624, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8694, number_of_instances: 1080, precision: 0.8748, predictive_accuracy: 0.8694, prior_entropy: 3.1699, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.542, unweighted_recall: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8831, kappa: 0.8708, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8852, number_of_instances: 1080, precision: 0.8889, predictive_accuracy: 0.8852, prior_entropy: 3.1699, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5076, unweighted_recall: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8638, kappa: 0.8458, kb_relative_information_score: 0.8556, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1975, weighted_recall: 0.863, number_of_instances: 1080, precision: 0.8664, predictive_accuracy: 0.863, prior_entropy: 3.1699, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5553, unweighted_recall: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9109, kappa: 0.9, kb_relative_information_score: 0.8603, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9111, number_of_instances: 1080, precision: 0.9115, predictive_accuracy: 0.9111, prior_entropy: 3.1699, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4149, unweighted_recall: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, unweighted_recall: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9023, kappa: 0.8906, kb_relative_information_score: 0.8629, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9028, number_of_instances: 1080, precision: 0.9034, predictive_accuracy: 0.9028, prior_entropy: 3.1699, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.4184, unweighted_recall: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8689, kappa: 0.851, kb_relative_information_score: 0.8605, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8676, number_of_instances: 1080, precision: 0.8714, predictive_accuracy: 0.8676, prior_entropy: 3.1699, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5458, unweighted_recall: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7, kappa: 0.6677, kb_relative_information_score: 0.6888, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7046, number_of_instances: 1080, precision: 0.8382, predictive_accuracy: 0.7046, prior_entropy: 3.1699, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.8152, unweighted_recall: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.913, kappa: 0.9021, kb_relative_information_score: 0.8608, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1975, weighted_recall: 0.913, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.913, prior_entropy: 3.1699, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.4173, unweighted_recall: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8601, kappa: 0.8417, kb_relative_information_score: 0.8517, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8593, number_of_instances: 1080, precision: 0.8617, predictive_accuracy: 0.8593, prior_entropy: 3.1699, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5627, unweighted_recall: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7, kappa: 0.6677, kb_relative_information_score: 0.6888, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7046, number_of_instances: 1080, precision: 0.8382, predictive_accuracy: 0.7046, prior_entropy: 3.1699, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.8152, unweighted_recall: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.922, kappa: 0.9125, kb_relative_information_score: 0.8601, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9222, number_of_instances: 1080, precision: 0.9228, predictive_accuracy: 0.9222, prior_entropy: 3.1699, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.4181, unweighted_recall: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9014, kappa: 0.8885, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9009, number_of_instances: 1080, precision: 0.905, predictive_accuracy: 0.9009, prior_entropy: 3.1699, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4452, unweighted_recall: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9276, kappa: 0.9188, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9278, number_of_instances: 1080, precision: 0.929, predictive_accuracy: 0.9278, prior_entropy: 3.1699, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.381, unweighted_recall: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9135, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9285, kappa: 0.9198, kb_relative_information_score: 0.9264, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9287, number_of_instances: 1080, precision: 0.9296, predictive_accuracy: 0.9287, prior_entropy: 3.1699, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3661, unweighted_recall: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9014, kappa: 0.8885, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9009, number_of_instances: 1080, precision: 0.905, predictive_accuracy: 0.9009, prior_entropy: 3.1699, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4452, unweighted_recall: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9368, kappa: 0.9292, kb_relative_information_score: 0.9332, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1975, weighted_recall: 0.937, number_of_instances: 1080, precision: 0.9375, predictive_accuracy: 0.937, prior_entropy: 3.1699, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.3334, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9014, kappa: 0.8885, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9009, number_of_instances: 1080, precision: 0.905, predictive_accuracy: 0.9009, prior_entropy: 3.1699, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4452, unweighted_recall: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.937, kappa: 0.9292, kb_relative_information_score: 0.9323, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1975, weighted_recall: 0.937, number_of_instances: 1080, precision: 0.9381, predictive_accuracy: 0.937, prior_entropy: 3.1699, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.33, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9519, kappa: 0.9458, kb_relative_information_score: 0.9348, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9523, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.2978, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9585, kappa: 0.9531, kb_relative_information_score: 0.9133, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9583, number_of_instances: 1080, precision: 0.9589, predictive_accuracy: 0.9583, prior_entropy: 3.1699, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3071, unweighted_recall: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.953, kappa: 0.9469, kb_relative_information_score: 0.7988, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9528, number_of_instances: 1080, precision: 0.9536, predictive_accuracy: 0.9528, prior_entropy: 3.1699, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4317, unweighted_recall: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9014, kappa: 0.8885, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9009, number_of_instances: 1080, precision: 0.905, predictive_accuracy: 0.9009, prior_entropy: 3.1699, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4452, unweighted_recall: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9433, kappa: 0.9365, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9435, number_of_instances: 1080, precision: 0.9437, predictive_accuracy: 0.9435, prior_entropy: 3.1699, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3395, unweighted_recall: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9442, kappa: 0.9375, kb_relative_information_score: 0.9216, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9444, number_of_instances: 1080, precision: 0.9447, predictive_accuracy: 0.9444, prior_entropy: 3.1699, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3463, unweighted_recall: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9276, kappa: 0.9188, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9278, number_of_instances: 1080, precision: 0.929, predictive_accuracy: 0.9278, prior_entropy: 3.1699, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.381, unweighted_recall: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.5734, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.683, unweighted_recall: 0.9519,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9567, kappa: 0.951, kb_relative_information_score: 0.9133, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9565, number_of_instances: 1080, precision: 0.9571, predictive_accuracy: 0.9565, prior_entropy: 3.1699, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.2968, unweighted_recall: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9248, kappa: 0.9156, kb_relative_information_score: 0.9212, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1975, weighted_recall: 0.925, number_of_instances: 1080, precision: 0.9263, predictive_accuracy: 0.925, prior_entropy: 3.1699, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.3869, unweighted_recall: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9501, kappa: 0.9438, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1975, weighted_recall: 0.95, number_of_instances: 1080, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 3.1699, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3558, unweighted_recall: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.5734, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.683, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,

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