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: 0.9908, f_measure: 0.9847, kappa: 0.8475, kb_relative_information_score: 3112.0907, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4771, scimark_benchmark: 1877.7992, usercpu_time_millis: 14.776, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 14.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.9198, kb_relative_information_score: -1376.4142, mean_absolute_error: 0.0998, 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: 0.9765, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9801, scimark_benchmark: 1749.5822, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 3.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9518, kappa: 0.4419, kb_relative_information_score: 589.1329, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.3037, recall: 0.9616, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.7427, scimark_benchmark: 1872.4216, usercpu_time_millis: 14.868, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 13.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9198, kb_relative_information_score: -1271.9844, mean_absolute_error: 0.0939, 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: 0.9182, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.9291, scimark_benchmark: 1873.019, usercpu_time_millis: 7.707, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 6.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9829, kappa: 0.8289, kb_relative_information_score: 3159.7798, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9827, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4883, scimark_benchmark: 1869.7037, usercpu_time_millis: 16.975, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 16.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9198, kb_relative_information_score: -1222.2778, mean_absolute_error: 0.0824, 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: 0.8062, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.8401, scimark_benchmark: 1876.7581, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9697, kappa: 0.6866, kb_relative_information_score: 1697.6233, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.6194, scimark_benchmark: 1843.5876, usercpu_time_millis: 7.435, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 7.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 0.5834, 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: 1844.0458, usercpu_time_millis: 7.718, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 6.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9198, kb_relative_information_score: -3063.2517, mean_absolute_error: 0.0913, 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: 0.893, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.9133, scimark_benchmark: 1872.9496, usercpu_time_millis: 18.561, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 17.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9809, kappa: 0.8049, kb_relative_information_score: 2792.0571, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.5023, scimark_benchmark: 1836.4708, usercpu_time_millis: 7.846, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 7.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9631, kappa: 0.5877, kb_relative_information_score: 1732.2187, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.6484, scimark_benchmark: 1835.093, usercpu_time_millis: 6.933, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 6.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9692, kappa: 0.6726, kb_relative_information_score: 1227.4301, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.6721, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.578, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9624, kappa: 0.5922, kb_relative_information_score: 665.4424, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9636, predictive_accuracy: 0.9667, prior_entropy: 0.3037, recall: 0.9667, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.7455, scimark_benchmark: 1875.3104, usercpu_time_millis: 1.626, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -19.7566, 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: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1875.3104, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9688, kappa: 0.6762, kb_relative_information_score: 1118.7653, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9684, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.6783, scimark_benchmark: 1867.5973, usercpu_time_millis: 15.678, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 15.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9711, kappa: 0.6944, kb_relative_information_score: 1760.6601, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9718, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6087, scimark_benchmark: 1873.4078, usercpu_time_millis: 15.961, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 14.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.9198, kb_relative_information_score: -26.7361, 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: 0.9985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1878.3273, usercpu_time_millis: 2.599, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 2.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9198, kb_relative_information_score: -1154.1374, mean_absolute_error: 0.1, 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: 0.9783, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9823, scimark_benchmark: 1870.9768, usercpu_time_millis: 5.597, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 4.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9198, kb_relative_information_score: -1712.0292, mean_absolute_error: 0.0894, 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: 0.8746, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.8958, scimark_benchmark: 1858.0279, usercpu_time_millis: 7.16, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 6.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.9198, kb_relative_information_score: -39.7061, 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: 1872.0845, usercpu_time_millis: 0.327, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9198, kb_relative_information_score: -3163.4806, mean_absolute_error: 0.0928, 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: 0.9082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.9259, scimark_benchmark: 1835.093, usercpu_time_millis: 5.518, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 5.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9844, kappa: 0.8445, kb_relative_information_score: 3006.7671, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4769, scimark_benchmark: 1873.9908, usercpu_time_millis: 11.072, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 10.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9648, kappa: 0.6119, kb_relative_information_score: 1579.1454, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.6398, scimark_benchmark: 1863.4543, usercpu_time_millis: 12.504, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 11.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9791, kappa: 0.7846, kb_relative_information_score: 2440.8483, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.532, scimark_benchmark: 1854.8318, usercpu_time_millis: 19.524, usercpu_time_millis_testing: 1.387, usercpu_time_millis_training: 18.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9669, kappa: 0.6485, kb_relative_information_score: 1202.9979, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9672, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6755, scimark_benchmark: 1849.069, usercpu_time_millis: 6.743, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 6.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9503, kappa: 0.4206, kb_relative_information_score: 726.7523, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9612, predictive_accuracy: 0.9607, prior_entropy: 0.3037, recall: 0.9607, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7377, scimark_benchmark: 1859.8849, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9816, kappa: 0.8195, kb_relative_information_score: 3018.462, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5136, scimark_benchmark: 1869.6309, usercpu_time_millis: 4.278, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 4.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9682, kappa: 0.6548, kb_relative_information_score: 1526.1032, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9706, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.6408, scimark_benchmark: 1865.6428, usercpu_time_millis: 16.142, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 14.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9699, kappa: 0.6815, kb_relative_information_score: 1441.3598, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.6443, scimark_benchmark: 1869.6309, usercpu_time_millis: 14.304, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 13.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9198, kb_relative_information_score: 5.0871, 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: 1872.9496, usercpu_time_millis: 1.068, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9643, kappa: 0.6048, kb_relative_information_score: 1205.1849, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9681, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.154, root_relative_squared_error: 0.6816, scimark_benchmark: 1874.977, usercpu_time_millis: 12.089, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 10.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9821, kappa: 0.8218, kb_relative_information_score: 2777.7553, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.4997, scimark_benchmark: 1862.932, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9729, kappa: 0.7104, kb_relative_information_score: 2349.0531, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.5694, scimark_benchmark: 1843.1261, usercpu_time_millis: 4.963, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 4.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9616, kappa: 0.5718, kb_relative_information_score: 1100.6349, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9661, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6865, scimark_benchmark: 1851.8567, usercpu_time_millis: 13.891, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 12.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9258, kappa: 0.0836, kb_relative_information_score: -125.8033, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9512, predictive_accuracy: 0.9485, prior_entropy: 0.3037, recall: 0.9485, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.8071, scimark_benchmark: 1869.4196, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.617,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9786, kappa: 0.793, kb_relative_information_score: 2386.1049, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9789, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5659, scimark_benchmark: 1871.8964, usercpu_time_millis: 47.298, usercpu_time_millis_testing: 1.726, usercpu_time_millis_training: 45.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9841, kappa: 0.8415, kb_relative_information_score: 3109.9834, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.483, scimark_benchmark: 1860.7031, usercpu_time_millis: 64.75, usercpu_time_millis_testing: 2.682, usercpu_time_millis_training: 62.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.974, kappa: 0.7427, kb_relative_information_score: 2199.8454, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.63, scimark_benchmark: 1872.4881, usercpu_time_millis: 39.511, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 38.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9833, kappa: 0.8325, kb_relative_information_score: 2996.8737, mean_absolute_error: 0.0278, 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: 0.2717, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.482, scimark_benchmark: 1861.896, usercpu_time_millis: 43.263, usercpu_time_millis_testing: 2.595, usercpu_time_millis_training: 40.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9825, kappa: 0.8268, kb_relative_information_score: 2677.5167, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.5284, scimark_benchmark: 1875.7049, usercpu_time_millis: 48.177, usercpu_time_millis_testing: 1.839, usercpu_time_millis_training: 46.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9834, kappa: 0.8336, kb_relative_information_score: 2901.0765, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4852, scimark_benchmark: 1872.9496, usercpu_time_millis: 29.009, usercpu_time_millis_testing: 1.688, usercpu_time_millis_training: 27.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9771, kappa: 0.7668, kb_relative_information_score: 2148.5121, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9769, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.5646, scimark_benchmark: 1873.9908, usercpu_time_millis: 32.255, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 30.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9818, kappa: 0.813, kb_relative_information_score: 2487.5835, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.5289, scimark_benchmark: 1873.3476, usercpu_time_millis: 32.668, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 30.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 3018.1985, mean_absolute_error: 0.0252, 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: 0.2464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4769, scimark_benchmark: 1871.0879, usercpu_time_millis: 28.099, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 26.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9829, kappa: 0.8289, kb_relative_information_score: 2900.0875, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9827, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.11, root_relative_squared_error: 0.4869, scimark_benchmark: 1874.4489, usercpu_time_millis: 32.439, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 30.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9503, kappa: 0.4255, kb_relative_information_score: 309.057, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9581, predictive_accuracy: 0.9601, prior_entropy: 0.3037, recall: 0.9601, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.7693, scimark_benchmark: 1868.4434, usercpu_time_millis: 22.753, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 21.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9819, kappa: 0.8222, kb_relative_information_score: 3234.116, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.5332, scimark_benchmark: 1864.1471, usercpu_time_millis: 24.255, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 23.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9819, kappa: 0.8184, kb_relative_information_score: 2581.6034, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.5195, scimark_benchmark: 1893.7845, usercpu_time_millis: 22.893, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 21.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9644, kappa: 0.6044, kb_relative_information_score: 1490.981, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.6501, scimark_benchmark: 1872.9496, usercpu_time_millis: 24.279, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 22.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9841, kappa: 0.8427, kb_relative_information_score: 3054.5851, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4857, scimark_benchmark: 1869.1029, usercpu_time_millis: 24.165, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 23.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9834, kappa: 0.835, kb_relative_information_score: 2879.1281, mean_absolute_error: 0.0282, 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: 0.2763, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4953, scimark_benchmark: 1870.4545, usercpu_time_millis: 33.761, usercpu_time_millis_testing: 1.568, usercpu_time_millis_training: 32.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.968, kappa: 0.6698, kb_relative_information_score: 930.7853, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.7111, scimark_benchmark: 1867.1358, usercpu_time_millis: 27.485, usercpu_time_millis_testing: 1.331, usercpu_time_millis_training: 26.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9692, kappa: 0.6774, kb_relative_information_score: 1538.3027, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.6443, scimark_benchmark: 1877.2162, usercpu_time_millis: 22.414, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 21.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9815, kappa: 0.8108, kb_relative_information_score: 2518.7825, mean_absolute_error: 0.0348, 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: 0.3402, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.5244, scimark_benchmark: 1871.4349, usercpu_time_millis: 24.77, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 23.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9818, kappa: 0.8148, kb_relative_information_score: 2865.5052, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.4908, scimark_benchmark: 1867.5973, usercpu_time_millis: 29.33, usercpu_time_millis_testing: 2.135, usercpu_time_millis_training: 27.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 3005.9157, mean_absolute_error: 0.0261, 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: 0.255, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4779, scimark_benchmark: 1857.269, usercpu_time_millis: 49.44, usercpu_time_millis_testing: 2.523, usercpu_time_millis_training: 46.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9718, kappa: 0.6958, kb_relative_information_score: 2268.8261, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5799, scimark_benchmark: 1870.4545, usercpu_time_millis: 28.236, usercpu_time_millis_testing: 2.575, usercpu_time_millis_training: 25.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9641, kappa: 0.601, kb_relative_information_score: 1424.0443, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9685, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6526, scimark_benchmark: 1866.1679, usercpu_time_millis: 20.011, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 18.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9801, kappa: 0.801, kb_relative_information_score: 2329.454, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.553, scimark_benchmark: 1870.4545, usercpu_time_millis: 27.043, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 25.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9835, kappa: 0.8343, kb_relative_information_score: 2962.514, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4817, scimark_benchmark: 1869.1029, usercpu_time_millis: 23.452, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 22.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3070.0969, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4818, scimark_benchmark: 1876.6882, usercpu_time_millis: 34.206, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 32.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9791, kappa: 0.7812, kb_relative_information_score: 2514.5606, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.5345, scimark_benchmark: 1863.2338, usercpu_time_millis: 25.688, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 23.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9811, kappa: 0.806, kb_relative_information_score: 2803.9071, mean_absolute_error: 0.0328, 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: 0.3208, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5063, scimark_benchmark: 1882.1677, usercpu_time_millis: 33.698, usercpu_time_millis_testing: 2.106, usercpu_time_millis_training: 31.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9725, kappa: 0.7206, kb_relative_information_score: 2109.5356, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9721, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.136, root_relative_squared_error: 0.602, scimark_benchmark: 1852.0359, usercpu_time_millis: 27.582, usercpu_time_millis_testing: 1.556, usercpu_time_millis_training: 26.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9643, kappa: 0.6025, kb_relative_information_score: 1498.7208, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.651, scimark_benchmark: 1872.7767, usercpu_time_millis: 13.114, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 11.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9705, kappa: 0.6911, kb_relative_information_score: 1418.0372, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.144, root_relative_squared_error: 0.6374, scimark_benchmark: 1872.4216, usercpu_time_millis: 29.378, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 27.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9678, kappa: 0.6513, kb_relative_information_score: 1185.9607, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.6748, scimark_benchmark: 1874.4489, usercpu_time_millis: 21.009, usercpu_time_millis_testing: 1.882, usercpu_time_millis_training: 19.127,

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