OpenML
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: 0.993, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 30627.2157, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3638, scimark_benchmark: 1307.0078, usercpu_time_millis: 799.477, usercpu_time_millis_testing: 3.288, usercpu_time_millis_training: 796.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9463, kappa: 0.8683, kb_relative_information_score: 27820.7471, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4364, scimark_benchmark: 1305.0354, usercpu_time_millis: 10634.511, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 10633.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9477, kappa: 0.8717, kb_relative_information_score: 28117.0666, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4307, scimark_benchmark: 1241.3776, usercpu_time_millis: 4640.469, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 4639.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.945, kappa: 0.865, kb_relative_information_score: 27518.0957, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415, scimark_benchmark: 1278.342, usercpu_time_millis: 7314.519, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 7313.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9045, kappa: 0.7631, kb_relative_information_score: 19645.5595, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9046, predictive_accuracy: 0.9059, prior_entropy: 0.863, recall: 0.9059, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5907, scimark_benchmark: 1309.7843, usercpu_time_millis: 7777.809, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 7776.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 30937.4773, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4033, scimark_benchmark: 1313.6979, usercpu_time_millis: 8001.525, usercpu_time_millis_testing: 32.207, usercpu_time_millis_training: 7969.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 29569.8593, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1309.0628, usercpu_time_millis: 4240.98, usercpu_time_millis_testing: 9.193, usercpu_time_millis_training: 4231.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9427, kappa: 0.8594, kb_relative_information_score: 27007.772, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9429, prior_entropy: 0.863, recall: 0.9429, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4525, scimark_benchmark: 1283.1935, usercpu_time_millis: 7896.905, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 7895.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9413, kappa: 0.8552, kb_relative_information_score: 26066.8234, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.466, scimark_benchmark: 1294.2021, usercpu_time_millis: 1929.756, usercpu_time_millis_testing: 4.696, usercpu_time_millis_training: 1925.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9453, kappa: 0.865, kb_relative_information_score: 24675.8686, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4677, scimark_benchmark: 1314.9823, usercpu_time_millis: 12960.405, usercpu_time_millis_testing: 19.492, usercpu_time_millis_training: 12940.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9715, kappa: 0.9302, kb_relative_information_score: 30983.0729, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9716, prior_entropy: 0.863, recall: 0.9716, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.326, scimark_benchmark: 1301.3918, usercpu_time_millis: 3877.285, usercpu_time_millis_testing: 18.351, usercpu_time_millis_training: 3858.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9225, kappa: 0.8078, kb_relative_information_score: 22005.4742, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9236, prior_entropy: 0.863, recall: 0.9236, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5472, scimark_benchmark: 1288.9963, usercpu_time_millis: 16872.548, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 16871.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9269, kappa: 0.819, kb_relative_information_score: 23911.0323, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9277, prior_entropy: 0.863, recall: 0.9277, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5161, scimark_benchmark: 1287.6943, usercpu_time_millis: 13565.785, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 13564.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9346, kappa: 0.8392, kb_relative_information_score: 25229.2336, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4902, scimark_benchmark: 1292.7057, usercpu_time_millis: 420.589, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 419.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9545, kappa: 0.8885, kb_relative_information_score: 28501.4364, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1280.0607, usercpu_time_millis: 8226.246, usercpu_time_millis_testing: 12.497, usercpu_time_millis_training: 8213.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9453, kappa: 0.8659, kb_relative_information_score: 27787.3431, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4391, scimark_benchmark: 1261.8962, usercpu_time_millis: 1943.022, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 1942.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9748, kappa: 0.9382, kb_relative_information_score: 31729.7222, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.3137, scimark_benchmark: 1284.1101, usercpu_time_millis: 15710.157, usercpu_time_millis_testing: 74.161, usercpu_time_millis_training: 15635.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9364, kappa: 0.8436, kb_relative_information_score: 25876.0419, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4799, scimark_benchmark: 1303.6167, usercpu_time_millis: 3946.651, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 3945.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9482, kappa: 0.873, kb_relative_information_score: 0.8624, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8828, kappa: 0.7099, kb_relative_information_score: 0.6921, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8823, predictive_accuracy: 0.8841, prior_entropy: 0.863, recall: 0.8841, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9477, kappa: 0.8717, kb_relative_information_score: 28125.6043, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9476, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4311, scimark_benchmark: 1264.1562, usercpu_time_millis: 2734.402, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 2733.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.904, kappa: 0.7618, kb_relative_information_score: 19223.4163, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9041, predictive_accuracy: 0.9054, prior_entropy: 0.863, recall: 0.9054, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5991, scimark_benchmark: 1278.0568, usercpu_time_millis: 16783.837, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 16782.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9357, kappa: 0.842, kb_relative_information_score: 25805.8362, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4821, scimark_benchmark: 1283.5504, usercpu_time_millis: 12120.112, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 12119.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9385, kappa: 0.849, kb_relative_information_score: 25747.4933, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4757, scimark_benchmark: 1300.2503, usercpu_time_millis: 8116.095, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 8115.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9729, kappa: 0.9334, kb_relative_information_score: 0.9237, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9729, prior_entropy: 0.863, recall: 0.9729, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.149, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9732, kappa: 0.9342, kb_relative_information_score: 0.9264, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9463, kappa: 0.8685, kb_relative_information_score: 0.7995, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9539, kappa: 0.8871, kb_relative_information_score: 0.8229, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098,
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: 0.9958, f_measure: 0.9723, kappa: 0.9322, kb_relative_information_score: 0.9003, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.863, recall: 0.9723, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9673, kappa: 0.9199, kb_relative_information_score: 0.8769, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.936, kappa: 0.8425, kb_relative_information_score: 0.7428, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9453, kappa: 0.8652, kb_relative_information_score: 0.766, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 0.8571, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9746, kappa: 0.9376, kb_relative_information_score: 0.9135, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9745, predictive_accuracy: 0.9746, prior_entropy: 0.863, recall: 0.9746, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9721, kappa: 0.9314, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0315, 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: 0.0772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 0.9082, mean_absolute_error: 0.036, 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: 0.0881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9701, kappa: 0.9267, kb_relative_information_score: 0.8896, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3325,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.945, kappa: 0.8648, kb_relative_information_score: 27377.5764, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4452, scimark_benchmark: 1264.0996, usercpu_time_millis: 5210.014, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 5208.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9324, kappa: 0.8338, kb_relative_information_score: 24475.6527, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5036, scimark_benchmark: 1312.7784, usercpu_time_millis: 1776.671, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 1775.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9735, kappa: 0.935, kb_relative_information_score: 31355.9624, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.863, recall: 0.9735, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.3127, scimark_benchmark: 1257.219, usercpu_time_millis: 5577.145, usercpu_time_millis_testing: 26.633, usercpu_time_millis_training: 5550.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 0.9053, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9099, kappa: 0.7771, kb_relative_information_score: 21767.7538, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9098, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5574, scimark_benchmark: 1286.8, usercpu_time_millis: 2343.577, usercpu_time_millis_testing: 3.736, usercpu_time_millis_training: 2339.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9514, kappa: 0.8805, kb_relative_information_score: 27740.5344, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4215, scimark_benchmark: 1292.4527, usercpu_time_millis: 4375.351, usercpu_time_millis_testing: 18.355, usercpu_time_millis_training: 4356.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 0.9053, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9124, kappa: 0.7853, kb_relative_information_score: 18986.1182, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9124, predictive_accuracy: 0.9125, prior_entropy: 0.863, recall: 0.9125, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.6019, scimark_benchmark: 1309.0864, usercpu_time_millis: 6547.53, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 6546.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9447, kappa: 0.8642, kb_relative_information_score: 27649.4469, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4433, scimark_benchmark: 1295.8604, usercpu_time_millis: 8624.582, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 8623.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9321, kappa: 0.8309, kb_relative_information_score: 21754.9498, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5287, scimark_benchmark: 1273.8052, usercpu_time_millis: 8432.261, usercpu_time_millis_testing: 12.581, usercpu_time_millis_training: 8419.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9485, kappa: 0.8737, kb_relative_information_score: 28233.2179, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4271, scimark_benchmark: 1307.0062, usercpu_time_millis: 8075.073, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 8074.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9261, kappa: 0.818, kb_relative_information_score: 21805.7939, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.9265, prior_entropy: 0.863, recall: 0.9265, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5495, scimark_benchmark: 1266.6512, usercpu_time_millis: 9562.062, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 9561.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9346, kappa: 0.8392, kb_relative_information_score: 25356.7595, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4909, scimark_benchmark: 1262.4968, usercpu_time_millis: 2702.203, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 2701.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9485, kappa: 0.8736, kb_relative_information_score: 28320.7284, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4259, scimark_benchmark: 1302.4593, usercpu_time_millis: 10026.905, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 10026.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9269, kappa: 0.8191, kb_relative_information_score: 23825.801, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9277, prior_entropy: 0.863, recall: 0.9277, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.5175, scimark_benchmark: 1311.2869, usercpu_time_millis: 4761.701, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 4760.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8582, kappa: 0.6384, kb_relative_information_score: 15773.3583, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8737, predictive_accuracy: 0.868, prior_entropy: 0.863, recall: 0.868, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6718, scimark_benchmark: 1259.1848, usercpu_time_millis: 624.831, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 623.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9223, kappa: 0.8074, kb_relative_information_score: 19530.8821, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.589, scimark_benchmark: 1310.3735, usercpu_time_millis: 5875.637, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 5874.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9443, kappa: 0.8632, kb_relative_information_score: 27605.7069, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4457, scimark_benchmark: 1287.0187, usercpu_time_millis: 154.943, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 154.027,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs