OpenML
Supervised Classification on servo

Supervised Classification on servo

Task 4318 Supervised Classification servo 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.928, kappa: 0.7963, kb_relative_information_score: 1188.2459, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9285, predictive_accuracy: 0.9275, prior_entropy: 0.7794, recall: 0.9275, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.536, scimark_benchmark: 1296.9979, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9289, kappa: 0.809, kb_relative_information_score: 1129.882, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9419, predictive_accuracy: 0.9257, prior_entropy: 0.7794, recall: 0.9257, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5727, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9429, kappa: 0.8424, kb_relative_information_score: 966.2191, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9478, predictive_accuracy: 0.9413, prior_entropy: 0.7794, recall: 0.9413, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5416, scimark_benchmark: 1344.3409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9419, kappa: 0.8367, kb_relative_information_score: 1216.7835, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9431, predictive_accuracy: 0.9413, prior_entropy: 0.7794, recall: 0.9413, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4713, scimark_benchmark: 1335.3438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9426, kappa: 0.8368, kb_relative_information_score: 1329.5432, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9426, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5131, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.928, kappa: 0.7963, kb_relative_information_score: 1188.2459, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9285, predictive_accuracy: 0.9275, prior_entropy: 0.7794, recall: 0.9275, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.536, scimark_benchmark: 1339.5666, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.8403, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4622, scimark_benchmark: 1370.3901, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1315.5063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.8403, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4622, scimark_benchmark: 1249.4068, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.928, kappa: 0.7963, kb_relative_information_score: 1188.2459, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9285, predictive_accuracy: 0.9275, prior_entropy: 0.7794, recall: 0.9275, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.536, scimark_benchmark: 1344.4042, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.8403, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4622, scimark_benchmark: 1281.7531, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9514, kappa: 0.8614, kb_relative_information_score: 1394.2435, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9513, predictive_accuracy: 0.9515, prior_entropy: 0.7794, recall: 0.9515, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.5, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8688, kappa: 0.6118, kb_relative_information_score: 691.4564, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.8704, predictive_accuracy: 0.8754, prior_entropy: 0.7794, recall: 0.8754, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6857, scimark_benchmark: 1358.8566, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9419, kappa: 0.8367, kb_relative_information_score: 1216.7835, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9431, predictive_accuracy: 0.9413, prior_entropy: 0.7794, recall: 0.9413, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4713, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1171.0335, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5616, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9274, kappa: 0.7949, kb_relative_information_score: 1108.4538, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.928, predictive_accuracy: 0.9269, prior_entropy: 0.7794, recall: 0.9269, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.5143, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9276, kappa: 0.8026, kb_relative_information_score: 1205.1522, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9358, predictive_accuracy: 0.9252, prior_entropy: 0.7794, recall: 0.9252, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.214, root_relative_squared_error: 0.5104, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9589, kappa: 0.8837, kb_relative_information_score: 1437.193, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9592, predictive_accuracy: 0.9587, prior_entropy: 0.7794, recall: 0.9587, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4848, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9336, kappa: 0.817, kb_relative_information_score: 938.878, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9389, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.242, root_relative_squared_error: 0.5773, scimark_benchmark: 1341.2341, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9419, kappa: 0.8367, kb_relative_information_score: 1216.7835, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9431, predictive_accuracy: 0.9413, prior_entropy: 0.7794, recall: 0.9413, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4713, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9588, kappa: 0.8832, kb_relative_information_score: 1377.1091, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.959, predictive_accuracy: 0.9587, prior_entropy: 0.7794, recall: 0.9587, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4643, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9533, kappa: 0.8671, kb_relative_information_score: 1396.4164, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.7794, recall: 0.9533, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4719, scimark_benchmark: 917.9672, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9214, kappa: 0.7862, kb_relative_information_score: 1210.6222, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9305, predictive_accuracy: 0.9186, prior_entropy: 0.7794, recall: 0.9186, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4969, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9546, kappa: 0.871, kb_relative_information_score: 1388.5004, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9547, predictive_accuracy: 0.9545, prior_entropy: 0.7794, recall: 0.9545, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4409, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9499, kappa: 0.8582, kb_relative_information_score: 1348.768, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9502, predictive_accuracy: 0.9497, prior_entropy: 0.7794, recall: 0.9497, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.178, root_relative_squared_error: 0.4245, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1171.0335, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5616, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.839, kappa: 0.5165, kb_relative_information_score: 678.4582, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.8438, predictive_accuracy: 0.8515, prior_entropy: 0.7794, recall: 0.8515, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.6957, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1137.5579, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.566, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9419, kappa: 0.8367, kb_relative_information_score: 1216.7835, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9431, predictive_accuracy: 0.9413, prior_entropy: 0.7794, recall: 0.9413, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4713, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8393, kappa: 0.5169, kb_relative_information_score: 682.3916, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.8447, predictive_accuracy: 0.8521, prior_entropy: 0.7794, recall: 0.8521, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6907, scimark_benchmark: 1349.9917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9254, kappa: 0.797, kb_relative_information_score: 1210.1746, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9343, predictive_accuracy: 0.9228, prior_entropy: 0.7794, recall: 0.9228, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4985, scimark_benchmark: 1325.2932, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9527, kappa: 0.8653, kb_relative_information_score: 1393.1028, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9527, predictive_accuracy: 0.9527, prior_entropy: 0.7794, recall: 0.9527, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4751, scimark_benchmark: 925.4974, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9289, kappa: 0.809, kb_relative_information_score: 1129.882, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9419, predictive_accuracy: 0.9257, prior_entropy: 0.7794, recall: 0.9257, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5727, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8329, kappa: 0.4952, kb_relative_information_score: 679.1279, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.8405, predictive_accuracy: 0.8479, prior_entropy: 0.7794, recall: 0.8479, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6933, scimark_benchmark: 1341.4981, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9583, kappa: 0.8821, kb_relative_information_score: 1433.9929, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9587, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4883, scimark_benchmark: 923.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9453, kappa: 0.8453, kb_relative_information_score: 1266.1115, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9458, predictive_accuracy: 0.9449, prior_entropy: 0.7794, recall: 0.9449, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4478, scimark_benchmark: 1307.4861, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.8403, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4622, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.9326, kappa: 0.8071, kb_relative_information_score: 1287.9815, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9323, predictive_accuracy: 0.9329, prior_entropy: 0.7794, recall: 0.9329, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.238, root_relative_squared_error: 0.5677, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9173, kappa: 0.7684, kb_relative_information_score: 1182.9539, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9193, predictive_accuracy: 0.9162, prior_entropy: 0.7794, recall: 0.9162, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5546, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9522, kappa: 0.8664, kb_relative_information_score: 1351.6678, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.954, predictive_accuracy: 0.9515, prior_entropy: 0.7794, recall: 0.9515, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4804, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9285, kappa: 0.7978, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9291, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8811, kappa: 0.6497, kb_relative_information_score: 1049.9822, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.8822, predictive_accuracy: 0.8862, prior_entropy: 0.7794, recall: 0.8862, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.8045, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9308, kappa: 0.8102, kb_relative_information_score: 1204.3806, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9372, predictive_accuracy: 0.9287, prior_entropy: 0.7794, recall: 0.9287, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.5457, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.9246, kappa: 0.7809, kb_relative_information_score: 1264.3882, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9249, predictive_accuracy: 0.9263, prior_entropy: 0.7794, recall: 0.9263, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.6473, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9223, kappa: 0.7852, kb_relative_information_score: 1232.3873, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.927, predictive_accuracy: 0.9204, prior_entropy: 0.7794, recall: 0.9204, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.6731, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.6733, kb_relative_information_score: -6.035, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.5967, predictive_accuracy: 0.7725, prior_entropy: 0.7794, recall: 0.7725, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0003, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9289, kappa: 0.809, kb_relative_information_score: 1129.882, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9419, predictive_accuracy: 0.9257, prior_entropy: 0.7794, recall: 0.9257, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5727, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, build_cpu_time: 0.1072, build_memory: 1476666115.6982, f_measure: 0.9162, kappa: 0.7615, kb_relative_information_score: 1210.5565, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 0.7794, recall: 0.9162, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6878, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, build_cpu_time: 0.0572, build_memory: 1130720641.9497, f_measure: 0.9204, kappa: 0.7737, kb_relative_information_score: 1231.4337, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9204, predictive_accuracy: 0.9204, prior_entropy: 0.7794, recall: 0.9204, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.6723, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, build_cpu_time: 0.041, build_memory: 2182812220.8814, f_measure: 0.9229, kappa: 0.7809, kb_relative_information_score: 1250.5647, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.923, predictive_accuracy: 0.9228, prior_entropy: 0.7794, recall: 0.9228, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.6533, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, build_cpu_time: 0.0356, build_memory: 1000481394.7928, f_measure: 0.9229, kappa: 0.7809, kb_relative_information_score: 1250.5647, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.923, predictive_accuracy: 0.9228, prior_entropy: 0.7794, recall: 0.9228, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.6533, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, build_cpu_time: 0.0143, build_memory: 1028379472.5317, f_measure: 0.9332, kappa: 0.811, kb_relative_information_score: 1298.6205, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9336, predictive_accuracy: 0.9329, prior_entropy: 0.7794, recall: 0.9329, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.6147, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, build_cpu_time: 0.0072, build_memory: 994111132.1629, f_measure: 0.9393, kappa: 0.8285, kb_relative_information_score: 1329.8903, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9399, predictive_accuracy: 0.9389, prior_entropy: 0.7794, recall: 0.9389, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.581, scimark_benchmark: 944.2618,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs