Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -920.7307, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8859, scimark_benchmark: 1363.361, usercpu_time_millis: 47.883, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 46.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -819.3311, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8583, scimark_benchmark: 1373.751, usercpu_time_millis: 81.772, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 80.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -719.2577, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8568, scimark_benchmark: 1368.7702, usercpu_time_millis: 26.517, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 25.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -743.4218, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8592, scimark_benchmark: 1368.3047, usercpu_time_millis: 17.387, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 16.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -755.5896, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1377.4367, usercpu_time_millis: 61.808, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 60.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.9063, kb_relative_information_score: -1301.2122, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9457, scimark_benchmark: 1372.0318, usercpu_time_millis: 14.947, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 14.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.9078, kappa: 0.0214, kb_relative_information_score: -1181.1445, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9099, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9198, scimark_benchmark: 1364.5047, usercpu_time_millis: 0.363, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -985.452, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8904, scimark_benchmark: 1365.538, usercpu_time_millis: 1.11, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9063, kb_relative_information_score: 3.7554, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1365.2336, usercpu_time_millis: 2.912, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 2.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: 5.4951, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1370.1788, usercpu_time_millis: 0.588, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.9063, kb_relative_information_score: -1261.6761, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9465, scimark_benchmark: 1367.0039, usercpu_time_millis: 11.96, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 11.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -849.9298, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.87, scimark_benchmark: 1371.3912, usercpu_time_millis: 72.517, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 71.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -867.57, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1372.8432, usercpu_time_millis: 90.839, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 89.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -876.6532, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8805, scimark_benchmark: 1358.5549, usercpu_time_millis: 27.775, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 26.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.9063, kb_relative_information_score: -1152.1673, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.9616, scimark_benchmark: 1369.1213, usercpu_time_millis: 11.189, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 10.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9294, kappa: 0.2926, kb_relative_information_score: -736.272, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9336, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8556, scimark_benchmark: 1366.9084, usercpu_time_millis: 85.657, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 84.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.9063, kb_relative_information_score: -1176.272, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9546, scimark_benchmark: 1369.2195, usercpu_time_millis: 17.121, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 16.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9241, kappa: 0.2287, kb_relative_information_score: -821.1977, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8589, scimark_benchmark: 1368.5576, usercpu_time_millis: 115.925, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 115.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.9063, kb_relative_information_score: -1261.0096, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9245, scimark_benchmark: 1372.2276, usercpu_time_millis: 26.269, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 25.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.9063, kb_relative_information_score: -1059.1874, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.9591, scimark_benchmark: 1371.4207, usercpu_time_millis: 0.791, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -802.586, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8584, scimark_benchmark: 1375.7739, usercpu_time_millis: 136.491, usercpu_time_millis_testing: 1.426, usercpu_time_millis_training: 135.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.9063, kb_relative_information_score: -1104.3981, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9529, scimark_benchmark: 1374.7913, usercpu_time_millis: 1.753, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 1.1465, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1376.8194, usercpu_time_millis: 4.007, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 3.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.2111, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1377.1063, usercpu_time_millis: 1.756, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1024.5604, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8946, scimark_benchmark: 1375.5957, usercpu_time_millis: 7.986, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 7.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.9316, kappa: 0.3365, kb_relative_information_score: -735.3337, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9303, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8678, scimark_benchmark: 1373.1159, usercpu_time_millis: 4.746, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 4.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.9095, kappa: 0.0428, kb_relative_information_score: -921.4533, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9151, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8898, scimark_benchmark: 1376.423, usercpu_time_millis: 91.202, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 90.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -668.5445, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8556, scimark_benchmark: 1373.4505, usercpu_time_millis: 41.003, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 39.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -719.4918, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8609, scimark_benchmark: 1370.1792, usercpu_time_millis: 9.052, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 8.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -778.4516, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8581, scimark_benchmark: 1373.8213, usercpu_time_millis: 42.966, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 42.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -828.2504, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1374.8712, usercpu_time_millis: 15.15, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 14.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.9063, kb_relative_information_score: -1181.5295, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9275, scimark_benchmark: 1367.035, usercpu_time_millis: 14.485, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 13.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9277, kappa: 0.2669, kb_relative_information_score: -793.7485, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1368.3906, usercpu_time_millis: 210.209, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 208.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -744.8958, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8613, scimark_benchmark: 1371.2781, usercpu_time_millis: 6.465, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 6.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1125.1474, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9042, scimark_benchmark: 1372.3196, usercpu_time_millis: 159.367, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 158.059,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -698.8659, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1353.9262, usercpu_time_millis: 9.969, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 9.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.9063, kb_relative_information_score: -1052.0081, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9408, scimark_benchmark: 1367.4004, usercpu_time_millis: 7.266, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 7.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -795.0781, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8601, scimark_benchmark: 1369.3869, usercpu_time_millis: 79.44, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 78.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -964.8176, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8879, scimark_benchmark: 1368.5436, usercpu_time_millis: 14.454, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 13.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1055.8078, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.8978, scimark_benchmark: 1369.8184, usercpu_time_millis: 17.283, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 16.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -611.63, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8513, scimark_benchmark: 1371.726, usercpu_time_millis: 32.085, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 30.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -821.2148, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8656, scimark_benchmark: 1375.5021, usercpu_time_millis: 12.245, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 11.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9241, kappa: 0.2323, kb_relative_information_score: -787.0404, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9266, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8601, scimark_benchmark: 1377.6959, usercpu_time_millis: 38.128, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 37.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -969.3086, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8856, scimark_benchmark: 1372.2703, usercpu_time_millis: 41.9, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 41.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.9063, kb_relative_information_score: -1368.9536, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9587, scimark_benchmark: 1363.1456, usercpu_time_millis: 6.981, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 6.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -766.1372, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, scimark_benchmark: 1369.9293, usercpu_time_millis: 38.388, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 37.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.9063, kb_relative_information_score: -1402.7077, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9411, scimark_benchmark: 1364.0582, usercpu_time_millis: 13.145, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 12.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.8814, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1370.5594, usercpu_time_millis: 3.975, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 3.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 3.4912, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1367.7859, usercpu_time_millis: 2.574, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -787.7074, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8572, scimark_benchmark: 1377.4436, usercpu_time_millis: 63.337, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 62.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -989.1586, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8888, scimark_benchmark: 1374.4985, usercpu_time_millis: 90.034, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 88.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -796.297, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8586, scimark_benchmark: 1369.2722, usercpu_time_millis: 48.733, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 48.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -994.9657, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8773, scimark_benchmark: 1373.2718, usercpu_time_millis: 42.07, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 41.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -999.5439, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8831, scimark_benchmark: 1375.0852, usercpu_time_millis: 78.215, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 77.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -1015.5696, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8826, scimark_benchmark: 1374.0815, usercpu_time_millis: 75.984, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 74.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -817.0093, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1377.5151, usercpu_time_millis: 36.392, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 35.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1094.8325, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9021, scimark_benchmark: 1370.6517, usercpu_time_millis: 30.382, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 29.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.929, kappa: 0.2863, kb_relative_information_score: -782.538, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1371.1855, usercpu_time_millis: 7.119, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 6.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.9063, kb_relative_information_score: -1135.9814, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9541, scimark_benchmark: 1375.7181, usercpu_time_millis: 6.502, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 5.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.9063, kb_relative_information_score: -1243.6727, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.947, scimark_benchmark: 1375.1654, usercpu_time_millis: 6.044, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 5.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 3.935, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1374.4651, usercpu_time_millis: 4.347, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 3.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.9063, kb_relative_information_score: -1419.0971, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.951, scimark_benchmark: 1374.8851, usercpu_time_millis: 2.146, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 3.6455, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1880.9548, usercpu_time_millis: 1.968, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.9063, kb_relative_information_score: -973.8119, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9567, scimark_benchmark: 1976.465, usercpu_time_millis: 2.145, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1167.9273, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9086, scimark_benchmark: 1939.4578, usercpu_time_millis: 29.423, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 28.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.9063, kb_relative_information_score: -1326.5095, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9298, scimark_benchmark: 1960.2917, usercpu_time_millis: 24.536, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 24.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9063, kb_relative_information_score: -931.2835, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9441, scimark_benchmark: 1937.2908, usercpu_time_millis: 2.855, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 2.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -817.9804, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8773, scimark_benchmark: 1739.7274, usercpu_time_millis: 11.98, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 11.719,

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