Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.951, kappa: 0.8794, kb_relative_information_score: 27383.6697, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4259, scimark_benchmark: 1285.3229, usercpu_time_millis: 5525.212, usercpu_time_millis_testing: 14.085, usercpu_time_millis_training: 5511.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9607, kappa: 0.9037, kb_relative_information_score: 29100.8208, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3823, scimark_benchmark: 1285.9172, usercpu_time_millis: 3448.034, usercpu_time_millis_testing: 11.865, usercpu_time_millis_training: 3436.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9729, kappa: 0.9336, kb_relative_information_score: 0.9082, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9721, kappa: 0.9314, kb_relative_information_score: 0.9001, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9507, kappa: 0.8788, kb_relative_information_score: 0.8368, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9628, kappa: 0.9088, kb_relative_information_score: 29187.3359, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3677, scimark_benchmark: 1286.0106, usercpu_time_millis: 2757.823, usercpu_time_millis_testing: 12.888, usercpu_time_millis_training: 2744.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9393, kappa: 0.8508, kb_relative_information_score: 26161.6466, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4677, scimark_benchmark: 1314.702, usercpu_time_millis: 9714.368, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 9713.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.947, kappa: 0.87, kb_relative_information_score: 27939.4434, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4327, scimark_benchmark: 1287.0476, usercpu_time_millis: 2710.743, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 2709.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9138, kappa: 0.7863, kb_relative_information_score: 20482.3975, mean_absolute_error: 0.1794, 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: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5706, scimark_benchmark: 1299.6191, usercpu_time_millis: 209.621, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 208.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9412, kappa: 0.8555, kb_relative_information_score: 27272.7983, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4556, scimark_benchmark: 1278.4408, usercpu_time_millis: 401.954, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 400.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9562, kappa: 0.8925, kb_relative_information_score: 28766.5204, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4009, scimark_benchmark: 1290.1666, usercpu_time_millis: 8873.265, usercpu_time_millis_testing: 27.431, usercpu_time_millis_training: 8845.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9391, kappa: 0.8504, kb_relative_information_score: 26194.1254, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4706, scimark_benchmark: 1283.7283, usercpu_time_millis: 9669.133, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 9668.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9588, kappa: 0.8989, kb_relative_information_score: 29012.5787, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3899, scimark_benchmark: 1290.7332, usercpu_time_millis: 10646.418, usercpu_time_millis_testing: 23.952, usercpu_time_millis_training: 10622.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9627, kappa: 0.9086, kb_relative_information_score: 30500.8448, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1233.8032, usercpu_time_millis: 8170.959, usercpu_time_millis_testing: 16.57, usercpu_time_millis_training: 8154.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9606, kappa: 0.9035, kb_relative_information_score: 29151.8526, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3798, scimark_benchmark: 1291.9586, usercpu_time_millis: 11095.558, usercpu_time_millis_testing: 55.415, usercpu_time_millis_training: 11040.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9429, kappa: 0.8598, kb_relative_information_score: 27425.5605, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4502, scimark_benchmark: 1266.1697, usercpu_time_millis: 3665.675, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 3664.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9513, kappa: 0.8804, kb_relative_information_score: 27726.4419, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.421, scimark_benchmark: 1305.2774, usercpu_time_millis: 6630.648, usercpu_time_millis_testing: 26.057, usercpu_time_millis_training: 6604.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9388, kappa: 0.8497, kb_relative_information_score: 25964.1796, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4728, scimark_benchmark: 1298.1578, usercpu_time_millis: 5572.917, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 5572.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9396, kappa: 0.8504, kb_relative_information_score: 23011.3345, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9399, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.5066, scimark_benchmark: 1308.2507, usercpu_time_millis: 7932.385, usercpu_time_millis_testing: 36.569, usercpu_time_millis_training: 7895.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9551, kappa: 0.8897, kb_relative_information_score: 28584.0258, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1288.6252, usercpu_time_millis: 14292.375, usercpu_time_millis_testing: 28.39, usercpu_time_millis_training: 14263.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9039, kappa: 0.7614, kb_relative_information_score: 17873.0789, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.904, predictive_accuracy: 0.9053, prior_entropy: 0.863, recall: 0.9053, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6257, scimark_benchmark: 1262.26, usercpu_time_millis: 8874.993, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 8873.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9577, kappa: 0.8964, kb_relative_information_score: 28611.1364, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3936, scimark_benchmark: 1312.2222, usercpu_time_millis: 7180.104, usercpu_time_millis_testing: 38.174, usercpu_time_millis_training: 7141.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.947, kappa: 0.8699, kb_relative_information_score: 27900.6952, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.197, root_relative_squared_error: 0.436, scimark_benchmark: 1277.3277, usercpu_time_millis: 6522.341, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 6521.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9379, kappa: 0.8471, kb_relative_information_score: 26021.118, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4762, scimark_benchmark: 1308.621, usercpu_time_millis: 3921.87, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 3920.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9691, kappa: 0.9243, kb_relative_information_score: 30750.0682, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3346, scimark_benchmark: 1255.8553, usercpu_time_millis: 4876.789, usercpu_time_millis_testing: 24.012, usercpu_time_millis_training: 4852.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9407, kappa: 0.8543, kb_relative_information_score: 27169.713, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4584, scimark_benchmark: 1315.8038, usercpu_time_millis: 7105.513, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 7104.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9636, kappa: 0.9108, kb_relative_information_score: 29635.721, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3672, scimark_benchmark: 1257.3555, usercpu_time_millis: 9394.109, usercpu_time_millis_testing: 29.736, usercpu_time_millis_training: 9364.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 29677.4789, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3682, scimark_benchmark: 1314.5614, usercpu_time_millis: 17314.584, usercpu_time_millis_testing: 31.88, usercpu_time_millis_training: 17282.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8607, kb_relative_information_score: 27499.9858, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4482, scimark_benchmark: 1289.342, usercpu_time_millis: 7416.925, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 7416.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9351, kappa: 0.8403, kb_relative_information_score: 25208.2632, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4904, scimark_benchmark: 1279.4638, usercpu_time_millis: 8610.621, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 8609.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9542, kappa: 0.8874, kb_relative_information_score: 28932.4366, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4062, scimark_benchmark: 1289.5603, usercpu_time_millis: 8537.426, usercpu_time_millis_testing: 23.372, usercpu_time_millis_training: 8514.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9425, kappa: 0.8577, kb_relative_information_score: 21594.5615, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.5102, scimark_benchmark: 1315.8668, usercpu_time_millis: 5471.131, usercpu_time_millis_testing: 30.884, usercpu_time_millis_training: 5440.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9449, kappa: 0.8647, kb_relative_information_score: 27489.0622, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4422, scimark_benchmark: 1308.3223, usercpu_time_millis: 4622.488, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 4621.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.772, kappa: 0.4134, kb_relative_information_score: 10879.8335, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8368, predictive_accuracy: 0.8068, prior_entropy: 0.863, recall: 0.8068, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7771, scimark_benchmark: 1297.0711, usercpu_time_millis: 208.717, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 207.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9372, kappa: 0.8457, kb_relative_information_score: 25838.7721, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9371, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4788, scimark_benchmark: 1314.0558, usercpu_time_millis: 7276.635, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 7275.782,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8967, kappa: 0.7372, kb_relative_information_score: 0.3578, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9126, predictive_accuracy: 0.9031, prior_entropy: 0.863, recall: 0.9031, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8967, kappa: 0.7372, kb_relative_information_score: 0.3578, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9126, predictive_accuracy: 0.9031, prior_entropy: 0.863, recall: 0.9031, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.962, kappa: 0.9069, kb_relative_information_score: 0.8602, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8922, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9544, kappa: 0.8881, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.962, kappa: 0.9069, kb_relative_information_score: 0.8602, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0491, 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: 0.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0491, 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: 0.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8922, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9544, kappa: 0.8881, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0507, 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: 0.1242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9672, kappa: 0.9197, kb_relative_information_score: 0.8757, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0507, 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: 0.1242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5888, kappa: 0.0002, kb_relative_information_score: -0.1005, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.592, predictive_accuracy: 0.5858, prior_entropy: 0.863, recall: 0.5858, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 0.8773, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0553, 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: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9711, kappa: 0.9292, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9712, prior_entropy: 0.863, recall: 0.9712, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 0.8773, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9704, kappa: 0.9273, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0553, 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: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9711, kappa: 0.9292, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9712, prior_entropy: 0.863, recall: 0.9712, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9725, kappa: 0.9325, kb_relative_information_score: 0.9248, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.863, recall: 0.9725, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3375,

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