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Supervised Classification on vote

Supervised Classification on vote

Task 1935 Supervised Classification vote 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 1351.1238, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3855.2755, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3521, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 1353.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 3797.4647, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.414, scimark_benchmark: 1348.1311, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 1404.0159, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3855.2755, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3521, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 3936.5343, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9573, predictive_accuracy: 0.9561, prior_entropy: 0.9627, recall: 0.9561, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4304, scimark_benchmark: 1331.7953, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 1260.1387, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 1281.7531, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9612, kappa: 0.9181, kb_relative_information_score: 3801.0841, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9627, recall: 0.9611, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.37, scimark_benchmark: 1264.9916, usercpu_time_millis: 2540, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9009, kappa: 0.793, kb_relative_information_score: 3405.9775, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9038, predictive_accuracy: 0.9002, prior_entropy: 0.9627, recall: 0.9002, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6218, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 3750.3444, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4115, scimark_benchmark: 1352.2099, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 3797.4647, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.414, scimark_benchmark: 1315.933, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9009, kappa: 0.793, kb_relative_information_score: 3405.9775, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9038, predictive_accuracy: 0.9002, prior_entropy: 0.9627, recall: 0.9002, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6218, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9009, kappa: 0.793, kb_relative_information_score: 3405.9775, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9038, predictive_accuracy: 0.9002, prior_entropy: 0.9627, recall: 0.9002, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6218, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3795.917, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9441, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4136, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9557, kappa: 0.9067, kb_relative_information_score: 3897.3568, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9558, predictive_accuracy: 0.9556, prior_entropy: 0.9627, recall: 0.9556, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4039, scimark_benchmark: 1064.8317, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3855.2755, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3521, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9314, kappa: 0.8563, kb_relative_information_score: 3646.0246, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.933, predictive_accuracy: 0.931, prior_entropy: 0.9627, recall: 0.931, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.222, root_relative_squared_error: 0.456, scimark_benchmark: 1288.1375, usercpu_time_millis: 540, usercpu_time_millis_testing: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9653, kappa: 0.927, kb_relative_information_score: 3759.5565, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9654, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3421, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9518, kappa: 0.8983, kb_relative_information_score: 3772.2973, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9518, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4115, scimark_benchmark: 1340.1351, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9634, kappa: 0.9229, kb_relative_information_score: 3855.243, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9627, recall: 0.9634, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3428, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9653, kappa: 0.927, kb_relative_information_score: 3759.5565, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9654, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3421, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9634, kappa: 0.9229, kb_relative_information_score: 3855.243, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9627, recall: 0.9634, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3428, scimark_benchmark: 1319.4881, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9589, kappa: 0.9134, kb_relative_information_score: 3721.4944, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.959, predictive_accuracy: 0.9589, prior_entropy: 0.9627, recall: 0.9589, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3795, scimark_benchmark: 1332.6143, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9535, kappa: 0.9022, kb_relative_information_score: 3289.1007, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 0.9627, recall: 0.9533, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4162, scimark_benchmark: 885.0921, usercpu_time_millis: 320, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9511, kappa: 0.897, kb_relative_information_score: 3842.3247, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9513, predictive_accuracy: 0.951, prior_entropy: 0.9627, recall: 0.951, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3726, scimark_benchmark: 1339.4964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9528, kappa: 0.9007, kb_relative_information_score: 3292.4448, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9532, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4166, scimark_benchmark: 854.5188, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9539, kappa: 0.9031, kb_relative_information_score: 3305.9745, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9544, predictive_accuracy: 0.9538, prior_entropy: 0.9627, recall: 0.9538, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.415, scimark_benchmark: 932.0242, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9553, kappa: 0.9062, kb_relative_information_score: 3744.3189, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.956, predictive_accuracy: 0.9552, prior_entropy: 0.9627, recall: 0.9552, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3678, scimark_benchmark: 932.0242, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9619, kappa: 0.9196, kb_relative_information_score: 3990.4479, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9619, predictive_accuracy: 0.9618, prior_entropy: 0.9627, recall: 0.9618, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4012, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9557, kappa: 0.9065, kb_relative_information_score: 3870.179, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9557, predictive_accuracy: 0.9556, prior_entropy: 0.9627, recall: 0.9556, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.373, scimark_benchmark: 1316.6866, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9503, kappa: 0.8957, kb_relative_information_score: 3630.1192, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9512, predictive_accuracy: 0.9501, prior_entropy: 0.9627, recall: 0.9501, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4338, scimark_benchmark: 1334.2813, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9598, kappa: 0.9152, kb_relative_information_score: 3971.9784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9627, recall: 0.9598, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3727, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9589, kappa: 0.9134, kb_relative_information_score: 3911.9719, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.959, predictive_accuracy: 0.9589, prior_entropy: 0.9627, recall: 0.9589, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3792, scimark_benchmark: 1413.089, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.963, kappa: 0.922, kb_relative_information_score: 3967.4036, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9631, predictive_accuracy: 0.963, prior_entropy: 0.9627, recall: 0.963, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3709, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9635, kappa: 0.9231, kb_relative_information_score: 3955.0296, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9636, predictive_accuracy: 0.9634, prior_entropy: 0.9627, recall: 0.9634, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3648, scimark_benchmark: 1442.7264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9631, kappa: 0.9222, kb_relative_information_score: 3917.633, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9632, predictive_accuracy: 0.963, prior_entropy: 0.9627, recall: 0.963, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3669, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9573, kappa: 0.9101, kb_relative_information_score: 3859.2793, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9575, predictive_accuracy: 0.9572, prior_entropy: 0.9627, recall: 0.9572, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3753, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9311, kappa: 0.8559, kb_relative_information_score: 3574.8015, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9338, predictive_accuracy: 0.9306, prior_entropy: 0.9627, recall: 0.9306, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4695, scimark_benchmark: 924.1296, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9303, kappa: 0.8542, kb_relative_information_score: 3590.0514, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9324, predictive_accuracy: 0.9299, prior_entropy: 0.9627, recall: 0.9299, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4763, scimark_benchmark: 939.5205, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9044, kappa: 0.7972, kb_relative_information_score: 3457.7811, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.905, predictive_accuracy: 0.9051, prior_entropy: 0.9627, recall: 0.9051, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6329, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 3938.6908, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 1313.9994, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9482, kappa: 0.8911, kb_relative_information_score: 3861.0552, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9487, predictive_accuracy: 0.948, prior_entropy: 0.9627, recall: 0.948, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.4682, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9597, kappa: 0.9151, kb_relative_information_score: 3968.8825, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.96, predictive_accuracy: 0.9595, prior_entropy: 0.9627, recall: 0.9595, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4131, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9587, kappa: 0.9129, kb_relative_information_score: 3709.9962, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3807, scimark_benchmark: 912.5006, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9619, kappa: 0.9196, kb_relative_information_score: 3990.4479, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9619, predictive_accuracy: 0.9618, prior_entropy: 0.9627, recall: 0.9618, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4012, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9612, kappa: 0.9181, kb_relative_information_score: 3801.0841, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9627, recall: 0.9611, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.37, scimark_benchmark: 1346.9602, usercpu_time_millis: 4330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9009, kappa: 0.793, kb_relative_information_score: 3405.9775, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9038, predictive_accuracy: 0.9002, prior_entropy: 0.9627, recall: 0.9002, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6218, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 3797.4647, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.414, scimark_benchmark: 1319.5177, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9653, kappa: 0.9267, kb_relative_information_score: 3746.4646, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9627, recall: 0.9653, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 1319.9043, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9349, kappa: 0.8626, kb_relative_information_score: 3708.9289, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9349, predictive_accuracy: 0.9349, prior_entropy: 0.9627, recall: 0.9349, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4827, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9546, kappa: 0.9044, kb_relative_information_score: 3711.3886, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 0.9627, recall: 0.9545, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4005, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9571, kappa: 0.9097, kb_relative_information_score: 3749.7489, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9573, predictive_accuracy: 0.957, prior_entropy: 0.9627, recall: 0.957, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.396, scimark_benchmark: 1361.1055, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9464, kappa: 0.8873, kb_relative_information_score: 3843.8028, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.947, predictive_accuracy: 0.9462, prior_entropy: 0.9627, recall: 0.9462, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4764, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8388, kappa: 0.6554, kb_relative_information_score: 2890.6095, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.8532, predictive_accuracy: 0.8446, prior_entropy: 0.9627, recall: 0.8446, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8097, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9584, kappa: 0.9122, kb_relative_information_score: 3808.9249, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.9627, recall: 0.9584, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3818, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 3938.6908, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9434, kappa: 0.8811, kb_relative_information_score: 3815.7677, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.944, predictive_accuracy: 0.9432, prior_entropy: 0.9627, recall: 0.9432, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4894, scimark_benchmark: 1418.5826,

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