OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9814, kappa: 0.8101, kb_relative_information_score: 2699.5289, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.5121, scimark_benchmark: 1854.3038, usercpu_time_millis: 13.332, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 12.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9815, kappa: 0.8204, kb_relative_information_score: 2982.6025, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.5255, scimark_benchmark: 1867.725, usercpu_time_millis: 66.776, usercpu_time_millis_testing: 2.247, usercpu_time_millis_training: 64.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9801, kappa: 0.7946, kb_relative_information_score: 2545.3387, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.5229, scimark_benchmark: 1876.7581, usercpu_time_millis: 13.806, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 12.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9827, kappa: 0.8277, kb_relative_information_score: 2495.9863, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.5328, scimark_benchmark: 1873.4078, usercpu_time_millis: 13.268, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 12.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9735, kappa: 0.7177, kb_relative_information_score: 2112.8792, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9747, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.5788, scimark_benchmark: 1873.4078, usercpu_time_millis: 11.493, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 10.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9758, kappa: 0.7608, kb_relative_information_score: 2122.9131, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.6139, scimark_benchmark: 1859.4849, usercpu_time_millis: 11.142, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 10.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9812, kappa: 0.8154, kb_relative_information_score: 3248.9476, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.5547, scimark_benchmark: 1875.5079, usercpu_time_millis: 69.717, usercpu_time_millis_testing: 2.337, usercpu_time_millis_training: 67.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.9198, kb_relative_information_score: -1374.5524, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9702, scimark_benchmark: 1873.4078, usercpu_time_millis: 10.522, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 9.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9538, kappa: 0.4709, kb_relative_information_score: 557.4619, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9611, predictive_accuracy: 0.9624, prior_entropy: 0.3037, recall: 0.9624, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.7422, scimark_benchmark: 1862.1704, usercpu_time_millis: 7.68, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 6.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9795, kappa: 0.7882, kb_relative_information_score: 2739.8661, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.5142, scimark_benchmark: 1873.4078, usercpu_time_millis: 6.734, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 6.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9726, kappa: 0.7053, kb_relative_information_score: 2308.4656, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9747, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.5724, scimark_benchmark: 1869.4185, usercpu_time_millis: 40.237, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 37.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -3.4933, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1852.8165, usercpu_time_millis: 6.312, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 5.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9672, kappa: 0.6459, kb_relative_information_score: 1193.2656, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.6744, scimark_benchmark: 1860.1281, usercpu_time_millis: 6.167, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 5.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9814, kappa: 0.8119, kb_relative_information_score: 2964.2371, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5006, scimark_benchmark: 1876.2965, usercpu_time_millis: 40.819, usercpu_time_millis_testing: 2.405, usercpu_time_millis_training: 38.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9575, kappa: 0.515, kb_relative_information_score: 1279.8983, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9652, predictive_accuracy: 0.9651, prior_entropy: 0.3037, recall: 0.9651, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.6879, scimark_benchmark: 1875.0498, usercpu_time_millis: 4.681, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 4.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9822, kappa: 0.8192, kb_relative_information_score: 2455.2512, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.5349, scimark_benchmark: 1859.017, usercpu_time_millis: 4.742, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 4.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9827, kappa: 0.8277, kb_relative_information_score: 3170.8923, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4898, scimark_benchmark: 1877.2162, usercpu_time_millis: 42.923, usercpu_time_millis_testing: 2.088, usercpu_time_millis_training: 40.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9568, kappa: 0.5076, kb_relative_information_score: 557.9854, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9639, predictive_accuracy: 0.9645, prior_entropy: 0.3037, recall: 0.9645, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.7445, scimark_benchmark: 1854.8318, usercpu_time_millis: 3.16, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 2.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9716, kappa: 0.694, kb_relative_information_score: 2092.0932, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9737, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.5827, scimark_benchmark: 1854.6858, usercpu_time_millis: 37.682, usercpu_time_millis_testing: 3.637, usercpu_time_millis_training: 34.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9817, kappa: 0.8152, kb_relative_information_score: 2410.0717, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.5376, scimark_benchmark: 1865.4271, usercpu_time_millis: 2.193, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 2.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9827, kappa: 0.8277, kb_relative_information_score: 2848.105, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.4988, scimark_benchmark: 1876.7581, usercpu_time_millis: 41.723, usercpu_time_millis_testing: 1.851, usercpu_time_millis_training: 39.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9826, kappa: 0.8258, kb_relative_information_score: 2909.9729, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4929, scimark_benchmark: 1863.0965, usercpu_time_millis: 1.972, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9198, kb_relative_information_score: -3059.9992, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.9268, scimark_benchmark: 1854.3736, usercpu_time_millis: 0.745, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9687, kappa: 0.6749, kb_relative_information_score: 1115.4943, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9683, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.6824, scimark_benchmark: 1850.1514, usercpu_time_millis: 37.087, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 35.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9685, kappa: 0.6622, kb_relative_information_score: 1343.8155, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6524, scimark_benchmark: 1843.5177, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 3161.2605, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.484, scimark_benchmark: 1854.6858, usercpu_time_millis: 49.684, usercpu_time_millis_testing: 2.519, usercpu_time_millis_training: 47.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9833, kappa: 0.8318, kb_relative_information_score: 3045.4476, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4801, scimark_benchmark: 1865.6428, usercpu_time_millis: 34.847, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 33.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 2961.2047, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.482, scimark_benchmark: 1856.243, usercpu_time_millis: 32.247, usercpu_time_millis_testing: 1.642, usercpu_time_millis_training: 30.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9766, kappa: 0.769, kb_relative_information_score: 2221.279, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5892, scimark_benchmark: 1787.6491, usercpu_time_millis: 38.626, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 37.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 2943.4547, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4842, scimark_benchmark: 1790.3612, usercpu_time_millis: 36.494, usercpu_time_millis_testing: 2.026, usercpu_time_millis_training: 34.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9822, kappa: 0.8246, kb_relative_information_score: 2678.3195, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9821, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.5327, scimark_benchmark: 1873.4078, usercpu_time_millis: 43.573, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 42.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9757, kappa: 0.757, kb_relative_information_score: 2116.3629, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9754, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.5851, scimark_benchmark: 1854.7429, usercpu_time_millis: 40.966, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 38.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9809, kappa: 0.8033, kb_relative_information_score: 2479.6701, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.5291, scimark_benchmark: 1857.9467, usercpu_time_millis: 43.828, usercpu_time_millis_testing: 2.753, usercpu_time_millis_training: 41.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9838, kappa: 0.8391, kb_relative_information_score: 3106.4194, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4805, scimark_benchmark: 1870.9768, usercpu_time_millis: 24.471, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 23.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 3115.1676, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4838, scimark_benchmark: 1868.1196, usercpu_time_millis: 40.059, usercpu_time_millis_testing: 2.077, usercpu_time_millis_training: 37.982,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9834, kappa: 0.835, kb_relative_information_score: 2907.2206, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.4878, scimark_benchmark: 1847.4043, usercpu_time_millis: 10.517, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 10.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9198, kb_relative_information_score: -1420.7635, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9749, scimark_benchmark: 1854.7429, usercpu_time_millis: 10.324, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 9.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.983, kappa: 0.8287, kb_relative_information_score: 2916.672, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.486, scimark_benchmark: 1790.3612, usercpu_time_millis: 14.002, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 13.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9696, kappa: 0.6784, kb_relative_information_score: 1359.7178, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.6528, scimark_benchmark: 1877.2162, usercpu_time_millis: 13.401, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 12.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.98, kappa: 0.7952, kb_relative_information_score: 2675.253, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.5132, scimark_benchmark: 1856.4015, usercpu_time_millis: 3.066, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 2.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9831, kappa: 0.8327, kb_relative_information_score: 3206.1484, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.5072, scimark_benchmark: 1876.7581, usercpu_time_millis: 43.266, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 41.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9611, kappa: 0.5607, kb_relative_information_score: 1375.6873, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.968, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.6752, scimark_benchmark: 1852.457, usercpu_time_millis: 3.815, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 3.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9726, kappa: 0.7167, kb_relative_information_score: 2031.8218, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9724, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.5839, scimark_benchmark: 1829.9797, usercpu_time_millis: 14.104, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 13.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.955, kappa: 0.4841, kb_relative_information_score: 657.5104, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.3037, recall: 0.9634, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.7359, scimark_benchmark: 1850.0393, usercpu_time_millis: 7.558, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 6.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9799, kappa: 0.795, kb_relative_information_score: 2414.1978, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.5331, scimark_benchmark: 1850.0393, usercpu_time_millis: 14.994, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 14.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9824, kappa: 0.8233, kb_relative_information_score: 2620.448, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.5151, scimark_benchmark: 1876.23, usercpu_time_millis: 13.22, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 12.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9198, kb_relative_information_score: -895.1979, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.8972, scimark_benchmark: 1872.9496, usercpu_time_millis: 10.717, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 9.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9777, kappa: 0.7673, kb_relative_information_score: 2557.5143, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9782, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.5317, scimark_benchmark: 1874.977, usercpu_time_millis: 15.214, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 14.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9839, kappa: 0.8397, kb_relative_information_score: 3108.27, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.477, scimark_benchmark: 1861.3822, usercpu_time_millis: 16.305, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 15.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9702, kappa: 0.6849, kb_relative_information_score: 1184.5877, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9708, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6754, scimark_benchmark: 1846.8389, usercpu_time_millis: 14.02, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 13.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9814, kappa: 0.8127, kb_relative_information_score: 2470.7035, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5367, scimark_benchmark: 1855.1969, usercpu_time_millis: 21.232, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 20.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9633, kappa: 0.5895, kb_relative_information_score: 1625.1787, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.6569, scimark_benchmark: 1862.4126, usercpu_time_millis: 2.18, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9537, kappa: 0.4681, kb_relative_information_score: 442.2849, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9614, predictive_accuracy: 0.9624, prior_entropy: 0.3037, recall: 0.9624, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.7536, scimark_benchmark: 1743.3075, usercpu_time_millis: 15.253, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 14.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9737, kappa: 0.7207, kb_relative_information_score: 2392.61, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5657, scimark_benchmark: 1849.9877, usercpu_time_millis: 27.24, usercpu_time_millis_testing: 2.709, usercpu_time_millis_training: 24.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9198, kb_relative_information_score: -2240.4475, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.9097, scimark_benchmark: 1871.9601, usercpu_time_millis: 8.391, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 7.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.978, kappa: 0.7691, kb_relative_information_score: 2307.8657, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5518, scimark_benchmark: 1791.4215, usercpu_time_millis: 9.634, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 8.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9198, kb_relative_information_score: -7.5202, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.8122, scimark_benchmark: 1869.7524, usercpu_time_millis: 6.253, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 5.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.7674, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1861.6923, usercpu_time_millis: 2.776, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 2.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9694, kappa: 0.6846, kb_relative_information_score: 1895.9526, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.615, scimark_benchmark: 1872.9496, usercpu_time_millis: 29.484, usercpu_time_millis_testing: 1.436, usercpu_time_millis_training: 28.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9744, kappa: 0.7268, kb_relative_information_score: 2333.553, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9762, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.5646, scimark_benchmark: 1868.1196, usercpu_time_millis: 17.211, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 15.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.9198, kb_relative_information_score: -809.6213, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9776, scimark_benchmark: 1790.8194, usercpu_time_millis: 8.826, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 7.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9198, kb_relative_information_score: -14.7385, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1852.6867, usercpu_time_millis: 6.57, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 5.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.9198, kb_relative_information_score: 1.4387, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1868.0555, usercpu_time_millis: 1.864, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9831, kappa: 0.8313, kb_relative_information_score: 2942.036, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4823, scimark_benchmark: 1870.4545, usercpu_time_millis: 12.487, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 11.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9198, kb_relative_information_score: -1373.476, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.8351, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.554, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9815, kappa: 0.8134, kb_relative_information_score: 2630.8589, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.5148, scimark_benchmark: 1867.6581, usercpu_time_millis: 8.138, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 7.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.9198, kb_relative_information_score: -1.8308, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1862.4223, usercpu_time_millis: 2.497, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 2.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9798, kappa: 0.7911, kb_relative_information_score: 2528.7081, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.5243, scimark_benchmark: 1857.4263, usercpu_time_millis: 39.345, usercpu_time_millis_testing: 2.371, usercpu_time_millis_training: 36.974,

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