OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31691 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31691 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9571, kappa: 0.8948, kb_relative_information_score: 29717.6661, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9552, kappa: 0.8902, kb_relative_information_score: 28936.6073, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29035.3008, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9627, kappa: 0.9082, kb_relative_information_score: 29486.4046, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9131, kappa: 0.7848, kb_relative_information_score: 22207.4543, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9131, predictive_accuracy: 0.9141, prior_entropy: 0.863, recall: 0.9141, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9214, kappa: 0.8042, kb_relative_information_score: 21073.0021, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9072, kappa: 0.7656, kb_relative_information_score: 2820.9299, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9153, predictive_accuracy: 0.9113, prior_entropy: 0.863, recall: 0.9113, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.956, kappa: 0.892, kb_relative_information_score: 28942.2731, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.5954, kb_relative_information_score: 5774.8792, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9413, kappa: 0.8558, kb_relative_information_score: 26927.6266, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9443, kappa: 0.8629, kb_relative_information_score: 27258.3667, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9015, kappa: 0.7554, kb_relative_information_score: 16466.0325, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9016, predictive_accuracy: 0.903, prior_entropy: 0.863, recall: 0.903, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8956, kappa: 0.7396, kb_relative_information_score: 18681.3567, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8963, predictive_accuracy: 0.8978, prior_entropy: 0.863, recall: 0.8978, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9381, kappa: 0.8477, kb_relative_information_score: 26024.1542, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9721, kappa: 0.9316, kb_relative_information_score: 31387.0556, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 30477.0957, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28890.2873, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9578, kappa: 0.8966, kb_relative_information_score: 29811.8491, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9468, kappa: 0.8696, kb_relative_information_score: 28068.7332, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.9469, prior_entropy: 0.863, recall: 0.9469, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8864, kappa: 0.7144, kb_relative_information_score: 15589.3802, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8897, predictive_accuracy: 0.8902, prior_entropy: 0.863, recall: 0.8902, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9398, kappa: 0.8521, kb_relative_information_score: 26481.2645, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9037, kappa: 0.7611, kb_relative_information_score: 20333.0164, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9038, predictive_accuracy: 0.9051, prior_entropy: 0.863, recall: 0.9051, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9343, kappa: 0.8368, kb_relative_information_score: 22643.8118, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9572, kappa: 0.8949, kb_relative_information_score: 29091.4695, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9235, kappa: 0.8108, kb_relative_information_score: 24465.9381, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9323, kappa: 0.8329, kb_relative_information_score: 24581.968, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.6407, kappa: 0.0992, kb_relative_information_score: 6589.1533, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8062, predictive_accuracy: 0.7348, prior_entropy: 0.863, recall: 0.7348, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9214, kappa: 0.8053, kb_relative_information_score: 22680.2372, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9223, prior_entropy: 0.863, recall: 0.9223, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9711, kappa: 0.9292, kb_relative_information_score: 30972.4965, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9434, kappa: 0.8611, kb_relative_information_score: 27048.8257, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9718, kappa: 0.9308, kb_relative_information_score: 31096.1036, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9264, kappa: 0.8168, kb_relative_information_score: 18342.4242, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9278, prior_entropy: 0.863, recall: 0.9278, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9448, kappa: 0.8645, kb_relative_information_score: 27347.8, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4466,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8995, kappa: 0.7487, kb_relative_information_score: 18917.9701, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.901, predictive_accuracy: 0.9019, prior_entropy: 0.863, recall: 0.9019, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 29780.873, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9471, kappa: 0.8699, kb_relative_information_score: 27245.1683, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9433, kappa: 0.8607, kb_relative_information_score: 27031.4501, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9093, kappa: 0.7751, kb_relative_information_score: 21252.7122, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9094, predictive_accuracy: 0.9105, prior_entropy: 0.863, recall: 0.9105, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9113, kappa: 0.7789, kb_relative_information_score: 18885.4485, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9123, predictive_accuracy: 0.9131, prior_entropy: 0.863, recall: 0.9131, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9332, kappa: 0.8352, kb_relative_information_score: 24898.7056, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9157, kappa: 0.7898, kb_relative_information_score: 20464.4372, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9169, predictive_accuracy: 0.9174, prior_entropy: 0.863, recall: 0.9174, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9422, kappa: 0.8575, kb_relative_information_score: 26832.2273, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9189, kappa: 0.7991, kb_relative_information_score: 22420.2092, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9191, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9357, kappa: 0.8417, kb_relative_information_score: 25438.8772, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.914, kappa: 0.7872, kb_relative_information_score: 22299.2313, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9138, predictive_accuracy: 0.9148, prior_entropy: 0.863, recall: 0.9148, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9388, kappa: 0.8482, kb_relative_information_score: 24856.8988, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9396, prior_entropy: 0.863, recall: 0.9396, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9681, kappa: 0.9219, kb_relative_information_score: 30988.4921, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9356, kappa: 0.8415, kb_relative_information_score: 25698.8248, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9664, kappa: 0.9176, kb_relative_information_score: 29952.4025, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9541, kappa: 0.8874, kb_relative_information_score: 28510.504, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9419, kappa: 0.8573, kb_relative_information_score: 26965.444, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.969, kappa: 0.924, kb_relative_information_score: 30723.7238, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9323, kappa: 0.8321, kb_relative_information_score: 20990.2508, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.242, root_relative_squared_error: 0.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.936, kappa: 0.8416, kb_relative_information_score: 24703.6451, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9356, kappa: 0.8412, kb_relative_information_score: 24705.1264, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.935, kappa: 0.8397, kb_relative_information_score: 24717.2549, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9187, kappa: 0.796, kb_relative_information_score: -3114.0781, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9223, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9473, kappa: 0.8708, kb_relative_information_score: 28124.7679, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9411, kappa: 0.8552, kb_relative_information_score: 26827.1708, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 30211.4391, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9427, kappa: 0.8593, kb_relative_information_score: 26983.8772, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.9429, prior_entropy: 0.863, recall: 0.9429, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9397, kappa: 0.8516, kb_relative_information_score: 26549.1092, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9466, kappa: 0.869, kb_relative_information_score: 28060.6439, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9466, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9426, kappa: 0.859, kb_relative_information_score: 26872.0043, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4556,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9387, kappa: 0.8493, kb_relative_information_score: 26086.5604, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.9389, prior_entropy: 0.863, recall: 0.9389, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4691,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9433, kappa: 0.8607, kb_relative_information_score: 27078.9751, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9422, kappa: 0.858, kb_relative_information_score: 26901.9686, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9462, kappa: 0.8677, kb_relative_information_score: 26923.2995, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9395, kappa: 0.8514, kb_relative_information_score: 26392.1841, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9394, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9456, kappa: 0.8666, kb_relative_information_score: 27641.9941, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9414, kappa: 0.8562, kb_relative_information_score: 26734.4399, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9125, kappa: 0.7817, kb_relative_information_score: 20112.8232, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9136, predictive_accuracy: 0.9143, prior_entropy: 0.863, recall: 0.9143, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9407, kappa: 0.853, kb_relative_information_score: 24537.1015, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9414, prior_entropy: 0.863, recall: 0.9414, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9329, kappa: 0.8344, kb_relative_information_score: 23907.1501, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9425, kappa: 0.8589, kb_relative_information_score: 26707.5087, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9683, kappa: 0.9224, kb_relative_information_score: 30301.0076, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3429,

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