Task
Supervised Classification on iris

Supervised Classification on iris

Task 1939 Supervised Classification iris 394 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9393, kappa: 0.909, kb_relative_information_score: 1349.3986, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 1.585, recall: 0.9393, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3717, scimark_benchmark: 1319.5177, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 1417.8558, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, scimark_benchmark: 942.9518, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9567, kappa: 0.935, kb_relative_information_score: 1375.3805, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 1.585, recall: 0.9567, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.3005, scimark_benchmark: 876.0664, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 1368.5693, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9363, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4382, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 1338.7769, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4037, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 1362.9685, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.327, scimark_benchmark: 901.1296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9139, kappa: 0.871, kb_relative_information_score: 865.0053, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.915, predictive_accuracy: 0.914, prior_entropy: 1.585, recall: 0.914, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6467, scimark_benchmark: 894.7222, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9633, kappa: 0.945, kb_relative_information_score: 911.6941, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9641, predictive_accuracy: 0.9633, prior_entropy: 1.585, recall: 0.9633, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6083, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.946, kappa: 0.919, kb_relative_information_score: 1384.5069, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3377, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9427, kappa: 0.914, kb_relative_information_score: 1371.4621, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 1.585, recall: 0.9427, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935, scimark_benchmark: 1227.9507, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.944, kappa: 0.916, kb_relative_information_score: 1278.8646, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 1.585, recall: 0.944, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3527, scimark_benchmark: 885.0921, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9413, kappa: 0.912, kb_relative_information_score: 1372.6706, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 1.585, recall: 0.9413, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4016, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9427, kappa: 0.914, kb_relative_information_score: 1371.4621, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 1.585, recall: 0.9427, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935, scimark_benchmark: 916.5769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.958, kappa: 0.937, kb_relative_information_score: 1383.8815, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9581, predictive_accuracy: 0.958, prior_entropy: 1.585, recall: 0.958, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.2967, scimark_benchmark: 1368.9272, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9347, kappa: 0.902, kb_relative_information_score: 1329.6357, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9347, predictive_accuracy: 0.9347, prior_entropy: 1.585, recall: 0.9347, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4242, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9347, kappa: 0.902, kb_relative_information_score: 1329.6357, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9347, predictive_accuracy: 0.9347, prior_entropy: 1.585, recall: 0.9347, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4242, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 1417.8558, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, scimark_benchmark: 1330.6247, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 1385.8906, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9454, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3783, scimark_benchmark: 883.2709, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9347, kappa: 0.902, kb_relative_information_score: 1329.6357, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9347, predictive_accuracy: 0.9347, prior_entropy: 1.585, recall: 0.9347, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4242, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9427, kappa: 0.914, kb_relative_information_score: 1371.4621, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 1.585, recall: 0.9427, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9707, kappa: 0.956, kb_relative_information_score: 1418.4233, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 1.585, recall: 0.9707, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2674, scimark_benchmark: 1345.842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.5556, kappa: 0.5, kb_relative_information_score: 869.0702, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.5, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.946, kappa: 0.919, kb_relative_information_score: 1377.3277, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9461, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3791, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 1219.9021, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4826, scimark_benchmark: 1347.917, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9347, kappa: 0.902, kb_relative_information_score: 1329.6357, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9347, predictive_accuracy: 0.9347, prior_entropy: 1.585, recall: 0.9347, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4242, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 1390.4744, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9468, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9347, kappa: 0.902, kb_relative_information_score: 1329.6357, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9347, predictive_accuracy: 0.9347, prior_entropy: 1.585, recall: 0.9347, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4242, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 0.0253, build_memory: 152747075.6, f_measure: 0.9476, kappa: 0.921, kb_relative_information_score: 1369.3487, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9481, predictive_accuracy: 0.9473, prior_entropy: 1.585, recall: 0.9473, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3588, scimark_benchmark: 889.2711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 0.0837, build_memory: 2210144834.64, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 1352.2342, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3376, scimark_benchmark: 942.4466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9138, kappa: 0.871, kb_relative_information_score: 655.1868, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9158, predictive_accuracy: 0.914, prior_entropy: 1.585, recall: 0.914, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7145, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9423, kappa: 0.913, kb_relative_information_score: 1364.6424, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9427, predictive_accuracy: 0.942, prior_entropy: 1.585, recall: 0.942, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4043, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9427, kappa: 0.914, kb_relative_information_score: 1371.4621, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 1.585, recall: 0.9427, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9547, kappa: 0.932, kb_relative_information_score: 1388.6385, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 1.585, recall: 0.9547, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3654, scimark_benchmark: 1419.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9706, kappa: 0.956, kb_relative_information_score: 1425.2291, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 1.585, recall: 0.9707, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2909, scimark_benchmark: 1331.482, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8862, kappa: 0.829, kb_relative_information_score: 1229.8415, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.8888, predictive_accuracy: 0.886, prior_entropy: 1.585, recall: 0.886, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5278, scimark_benchmark: 1353.3179,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.964, kappa: 0.946, kb_relative_information_score: 1425.1528, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9643, predictive_accuracy: 0.964, prior_entropy: 1.585, recall: 0.964, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9787, kappa: 0.968, kb_relative_information_score: 1358.7129, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9787, predictive_accuracy: 0.9787, prior_entropy: 1.585, recall: 0.9787, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.978, kappa: 0.967, kb_relative_information_score: 1410.1862, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1.585, recall: 0.978, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.97, kappa: 0.955, kb_relative_information_score: 1359.8453, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 1.585, recall: 0.97, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.972, kappa: 0.958, kb_relative_information_score: 1440.1207, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 1.585, recall: 0.972, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9747, kappa: 0.962, kb_relative_information_score: 1323.0118, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 1.585, recall: 0.9747, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 1345.5132, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.3038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9707, kappa: 0.956, kb_relative_information_score: 1405.0961, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 1.585, recall: 0.9707, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.97, kappa: 0.955, kb_relative_information_score: 1394.0515, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9705, predictive_accuracy: 0.97, prior_entropy: 1.585, recall: 0.97, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.927, kappa: 0.891, kb_relative_information_score: 1350.9596, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9273, predictive_accuracy: 0.9273, prior_entropy: 1.585, recall: 0.9273, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.978, kappa: 0.967, kb_relative_information_score: 1354.4544, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1.585, recall: 0.978, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 1404.8355, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.972, kappa: 0.958, kb_relative_information_score: 1355.5313, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 1.585, recall: 0.972, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.968, kappa: 0.952, kb_relative_information_score: 1392.2545, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9688, predictive_accuracy: 0.968, prior_entropy: 1.585, recall: 0.968, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.929, kappa: 0.894, kb_relative_information_score: 1348.6439, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9291, predictive_accuracy: 0.9293, prior_entropy: 1.585, recall: 0.9293, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.964, kappa: 0.946, kb_relative_information_score: 1423.3388, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 1.585, recall: 0.964, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9793, kappa: 0.969, kb_relative_information_score: 1350.0055, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 1.585, recall: 0.9793, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9713, kappa: 0.957, kb_relative_information_score: 1398.5244, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 1.585, recall: 0.9713, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9633, kappa: 0.945, kb_relative_information_score: 1350.0839, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9635, predictive_accuracy: 0.9633, prior_entropy: 1.585, recall: 0.9633, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3141,

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

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

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

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