OpenML
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: 0.9939, 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: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 938.0414,
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: 1281.7531, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, 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: 0.9626, 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: 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: 0.9817, 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: 0.9817, 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: 0.9958, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 1378.6555, mean_absolute_error: 0.0418, 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: 0.094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3237, scimark_benchmark: 1288.1375, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
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: 0.8333, 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: 0.9741, 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: 0.9741, 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: 0.9626, 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: 0.9741, 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: 1349.1028,
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: 0.9626, 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: 0.9696, 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: 0.9903, 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: 0.96, 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: 0.97, 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: 0.966, f_measure: 0.9547, kappa: 0.932, kb_relative_information_score: 1406.9032, mean_absolute_error: 0.0302, 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: 0.068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3688, scimark_benchmark: 1313.6093,
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: 0.967, f_measure: 0.9561, kappa: 0.934, kb_relative_information_score: 1409.6414, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9582, predictive_accuracy: 0.956, prior_entropy: 1.585, recall: 0.956, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 1284.2094, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.946, kappa: 0.919, kb_relative_information_score: 1361.3229, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.946, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3937, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 1273.7055, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3564, scimark_benchmark: 1311.9814, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.934, kappa: 0.901, kb_relative_information_score: 1363.0956, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 1.585, recall: 0.934, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4358, scimark_benchmark: 1355.2525, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9447, kappa: 0.917, kb_relative_information_score: 1363.6861, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9448, predictive_accuracy: 0.9447, prior_entropy: 1.585, recall: 0.9447, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.324, scimark_benchmark: 1316.5986, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9767, kappa: 0.965, kb_relative_information_score: 1452.0825, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 1.585, recall: 0.9767, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2646, scimark_benchmark: 1248.0234, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1207.7159,
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,
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: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9403, kappa: 0.91, kb_relative_information_score: 1357.0018, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9408, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3974, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9233, kappa: 0.885, kb_relative_information_score: 1342.5569, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9241, predictive_accuracy: 0.9233, prior_entropy: 1.585, recall: 0.9233, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.4796, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9473, kappa: 0.921, kb_relative_information_score: 1391.8435, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 1.585, recall: 0.9473, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3975, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0007, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9482, kappa: 0.922, kb_relative_information_score: 1374.8863, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9486, predictive_accuracy: 0.948, prior_entropy: 1.585, recall: 0.948, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.181, root_relative_squared_error: 0.384, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.956, kappa: 0.934, kb_relative_information_score: 1409.4748, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.585, recall: 0.956, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9277, kappa: 0.892, kb_relative_information_score: 1344.4439, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9281, predictive_accuracy: 0.928, prior_entropy: 1.585, recall: 0.928, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 1389.8324, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9675, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9713, kappa: 0.957, kb_relative_information_score: 1400.1363, mean_absolute_error: 0.0364, 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: 0.0819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9747, kappa: 0.962, kb_relative_information_score: 1335.6448, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 1.585, recall: 0.9747, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.148, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.97, kappa: 0.955, kb_relative_information_score: 1309.4669, mean_absolute_error: 0.0746, 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: 0.1678, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9653, kappa: 0.948, kb_relative_information_score: 1427.3084, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 1.585, recall: 0.9653, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3033,
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,
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: 0.9971, 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: 0.9892, 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: 0.9885, 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: 0.9972, 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: 0.9961, f_measure: 0.9693, kappa: 0.954, kb_relative_information_score: 1404.107, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 1.585, recall: 0.9693, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.2803,

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