Task
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 1799 Supervised Classification dermatology 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9593, kappa: 0.9488, kb_relative_information_score: 1716.7499, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9598, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2889, scimark_benchmark: 944.0517, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8591, kappa: 0.822, kb_relative_information_score: 1518.2392, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.8619, predictive_accuracy: 0.8579, prior_entropy: 2.4378, recall: 0.8579, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5671, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9652, kappa: 0.9562, kb_relative_information_score: 1749.7332, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9655, predictive_accuracy: 0.965, prior_entropy: 2.4378, recall: 0.965, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2959, scimark_benchmark: 916.9356, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9613, kappa: 0.9514, kb_relative_information_score: 626.9307, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9617, predictive_accuracy: 0.9612, prior_entropy: 2.4378, recall: 0.9612, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.8542, scimark_benchmark: 939.449, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9371, kappa: 0.9208, kb_relative_information_score: 1663.8358, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9378, predictive_accuracy: 0.9366, prior_entropy: 2.4378, recall: 0.9366, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3699, scimark_benchmark: 1311.1837, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8537, kappa: 0.8147, kb_relative_information_score: 1451.9126, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.8578, predictive_accuracy: 0.8519, prior_entropy: 2.4378, recall: 0.8519, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5719, scimark_benchmark: 1324.5988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9593, kappa: 0.9488, kb_relative_information_score: 1719.7334, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9598, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2881, scimark_benchmark: 1337.0272, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9181, kappa: 0.8983, kb_relative_information_score: 1642.6276, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.9191, prior_entropy: 2.4378, recall: 0.9191, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4038, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9346, kappa: 0.9174, kb_relative_information_score: 1686.5525, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9363, predictive_accuracy: 0.9339, prior_entropy: 2.4378, recall: 0.9339, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3456, scimark_benchmark: 898.1296, usercpu_time_millis: 930, usercpu_time_millis_testing: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9592, kappa: 0.9488, kb_relative_information_score: 1740.7523, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9596, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2972, scimark_benchmark: 1316.8289, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9564, kappa: 0.9453, kb_relative_information_score: 1732.7561, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9567, predictive_accuracy: 0.9563, prior_entropy: 2.4378, recall: 0.9563, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.3222, scimark_benchmark: 1310.6407, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9347, kappa: 0.9191, kb_relative_information_score: 1675.2834, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.935, predictive_accuracy: 0.9355, prior_entropy: 2.4378, recall: 0.9355, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4018, scimark_benchmark: 1346.3935, usercpu_time_millis: 1370, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9083, kappa: 0.885, kb_relative_information_score: 1526.3226, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9118, predictive_accuracy: 0.9087, prior_entropy: 2.4378, recall: 0.9087, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4176, scimark_benchmark: 1307.8606, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9178, kappa: 0.8968, kb_relative_information_score: 1531.4928, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.918, prior_entropy: 2.4378, recall: 0.918, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4125, scimark_benchmark: 1034.2235, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9346, kappa: 0.9174, kb_relative_information_score: 1682.829, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9361, predictive_accuracy: 0.9339, prior_entropy: 2.4378, recall: 0.9339, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4069, scimark_benchmark: 1339.4189, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9346, kappa: 0.9174, kb_relative_information_score: 1658.2613, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9359, predictive_accuracy: 0.9339, prior_entropy: 2.4378, recall: 0.9339, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.398, scimark_benchmark: 915.6729, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9577, kappa: 0.9473, kb_relative_information_score: 1731.3299, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9576, predictive_accuracy: 0.9579, prior_entropy: 2.4378, recall: 0.9579, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3186, scimark_benchmark: 930.5999, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9049, kappa: 0.8808, kb_relative_information_score: 1526.2917, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9088, predictive_accuracy: 0.9055, prior_entropy: 2.4378, recall: 0.9055, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4293, scimark_benchmark: 1349.1773, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9183, kappa: 0.8975, kb_relative_information_score: 1537.7154, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.921, predictive_accuracy: 0.9186, prior_entropy: 2.4378, recall: 0.9186, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4084, scimark_benchmark: 1341.8761, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.1434, kb_relative_information_score: 3.6353, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9521, kappa: 0.9403, kb_relative_information_score: 1513.2063, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 2.4378, recall: 0.9525, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4019, scimark_benchmark: 1363.454, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9706, kappa: 0.9631, kb_relative_information_score: 1755.547, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9709, predictive_accuracy: 0.9705, prior_entropy: 2.4378, recall: 0.9705, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.2308, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9647, kappa: 0.9556, kb_relative_information_score: 1745.456, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.965, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2784, scimark_benchmark: 1404.1865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9127, kappa: 0.8906, kb_relative_information_score: 1530.159, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9153, predictive_accuracy: 0.9131, prior_entropy: 2.4378, recall: 0.9131, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4174, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9562, kappa: 0.9446, kb_relative_information_score: 1685.7368, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9577, predictive_accuracy: 0.9557, prior_entropy: 2.4378, recall: 0.9557, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3194, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.6277, build_memory: 2167652689.6, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1504.0382, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3975, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 1.0004, build_memory: 788970859.2, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1503.6439, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3973, scimark_benchmark: 928.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 1.8649, build_memory: 1350862462.4, f_measure: 0.9642, kappa: 0.9554, kb_relative_information_score: 1505.4958, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3957, scimark_benchmark: 846.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 4.8255, build_memory: 834109012, f_measure: 0.9637, kappa: 0.9548, kb_relative_information_score: 1505.5274, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.964, predictive_accuracy: 0.9639, prior_entropy: 2.4378, recall: 0.9639, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3958, scimark_benchmark: 942.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, build_cpu_time: 0.0021, build_memory: 1566122550.4, f_measure: 0.3899, kappa: 0.2951, kb_relative_information_score: 671.6576, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3843, predictive_accuracy: 0.4743, prior_entropy: 2.4378, recall: 0.4743, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.9256, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0072, build_memory: 585097340, f_measure: 0.3979, kappa: 0.3437, kb_relative_information_score: 673.9925, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3937, predictive_accuracy: 0.5093, prior_entropy: 2.4378, recall: 0.5093, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.8883, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0065, build_memory: 325332129.6, f_measure: 0.3979, kappa: 0.3437, kb_relative_information_score: 673.9925, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3937, predictive_accuracy: 0.5093, prior_entropy: 2.4378, recall: 0.5093, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.8883, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.2957, build_memory: 828582275.2, f_measure: 0.9597, kappa: 0.9499, kb_relative_information_score: 1501.4021, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9602, predictive_accuracy: 0.9601, prior_entropy: 2.4378, recall: 0.9601, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3999, scimark_benchmark: 910.9043,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 1315.933, usercpu_time_millis: 2730, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1552.9611, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3671, scimark_benchmark: 1393.8432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.6562, kappa: 0.6478, kb_relative_information_score: 884.3286, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.6872, predictive_accuracy: 0.7251, prior_entropy: 2.4378, recall: 0.7251, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6987, scimark_benchmark: 932.0242, usercpu_time_millis: 2100, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9132, kappa: 0.8923, kb_relative_information_score: 1617.0575, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9177, predictive_accuracy: 0.9148, prior_entropy: 2.4378, recall: 0.9148, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.43, scimark_benchmark: 1327.9952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9489, kappa: 0.937, kb_relative_information_score: 1190.5902, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9511, predictive_accuracy: 0.9497, prior_entropy: 2.4378, recall: 0.9497, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.6105, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9203, kappa: 0.9013, kb_relative_information_score: 1638.8582, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9205, predictive_accuracy: 0.9213, prior_entropy: 2.4378, recall: 0.9213, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4388, scimark_benchmark: 1320.4802, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9712, kappa: 0.9637, kb_relative_information_score: 1756.6005, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9714, predictive_accuracy: 0.971, prior_entropy: 2.4378, recall: 0.971, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2291, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9706, kappa: 0.9631, kb_relative_information_score: 1756.105, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.971, predictive_accuracy: 0.9705, prior_entropy: 2.4378, recall: 0.9705, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2298, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1144.961, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 914.2292, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8498, kappa: 0.8125, kb_relative_information_score: 914.4048, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.86, predictive_accuracy: 0.8519, prior_entropy: 2.4378, recall: 0.8519, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7162, scimark_benchmark: 1341.994, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.3584, kappa: 0.339, kb_relative_information_score: 658.5425, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.2954, predictive_accuracy: 0.4978, prior_entropy: 2.4378, recall: 0.4978, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8643, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9797, kappa: 0.9747, kb_relative_information_score: 1693.4133, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 2.4378, recall: 0.9798, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2589, scimark_benchmark: 930.0399, usercpu_time_millis: 1450, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9049, kappa: 0.8808, kb_relative_information_score: 1526.2917, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9088, predictive_accuracy: 0.9055, prior_entropy: 2.4378, recall: 0.9055, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4293, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 1051.249, usercpu_time_millis: 2750, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9775, kappa: 0.9719, kb_relative_information_score: 1687.6692, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9775, predictive_accuracy: 0.9776, prior_entropy: 2.4378, recall: 0.9776, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2623, scimark_benchmark: 944.235, usercpu_time_millis: 3260, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9808, kappa: 0.9761, kb_relative_information_score: 1691.2449, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 2.4378, recall: 0.9809, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.2537, scimark_benchmark: 936.2727, usercpu_time_millis: 10270, usercpu_time_millis_testing: 3970, usercpu_time_millis_training: 6300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9792, kappa: 0.974, kb_relative_information_score: 1686.9015, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9793, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.2597, scimark_benchmark: 935.2002, usercpu_time_millis: 5340, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9181, kappa: 0.8983, kb_relative_information_score: 1642.6276, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.9191, prior_entropy: 2.4378, recall: 0.9191, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4038, scimark_benchmark: 1333.6736, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1552.9611, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3671, scimark_benchmark: 1316.5668, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs