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OpenML
Task
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3833 Supervised Classification analcatdata_authorship 582 runs submitted
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Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 828.4603, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1186, scimark_benchmark: 854.5188, usercpu_time_millis: 940, usercpu_time_millis_testing: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 827.6996, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.1743, scimark_benchmark: 1312.3073, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.0712, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423, scimark_benchmark: 869.6028, usercpu_time_millis: 450, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.0712, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423, scimark_benchmark: 1287.514, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9917, kappa: 0.9823, kb_relative_information_score: 817.6198, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9561, recall: 0.9917, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.1559, scimark_benchmark: 942.9708, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9941, kappa: 0.9874, kb_relative_information_score: 829.8854, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1591, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 821.0799, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1055, scimark_benchmark: 912.5006, usercpu_time_millis: 7710, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 7130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 147.9257, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 918.6491, usercpu_time_millis: 2590, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 831.0497, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1295, scimark_benchmark: 1337.7959, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 835.9893, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.0884, scimark_benchmark: 1290.1085, usercpu_time_millis: 3090, usercpu_time_millis_testing: 2660, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9949, kb_relative_information_score: 835.6012, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9561, recall: 0.9976, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.0945, scimark_benchmark: 893.5298, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 717.0944, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2676, scimark_benchmark: 1330.0694, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9251, kappa: 0.8404, kb_relative_information_score: 703.1108, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.925, predictive_accuracy: 0.9251, prior_entropy: 0.9561, recall: 0.9251, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5648, scimark_benchmark: 1346.9602, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9427, kappa: 0.8777, kb_relative_information_score: 713.5558, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9428, predictive_accuracy: 0.9429, prior_entropy: 0.9561, recall: 0.9429, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4604, scimark_benchmark: 1318.5526, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9607, kappa: 0.9161, kb_relative_information_score: 746.2882, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9607, predictive_accuracy: 0.9608, prior_entropy: 0.9561, recall: 0.9608, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4021, scimark_benchmark: 1309.3173, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9656, kappa: 0.9272, kb_relative_information_score: 777.427, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9663, predictive_accuracy: 0.9655, prior_entropy: 0.9561, recall: 0.9655, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3832, scimark_benchmark: 1330.2678, usercpu_time_millis: 330, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: -304.5283, mean_absolute_error: 0.6231, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 0.9561, recall: 0.3769, relative_absolute_error: 1.3263, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.7893, root_relative_squared_error: 1.6288, scimark_benchmark: 1290.1085, usercpu_time_millis: 2840, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9726, kappa: 0.9417, kb_relative_information_score: 787.0263, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9726, predictive_accuracy: 0.9727, prior_entropy: 0.9561, recall: 0.9727, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3395, scimark_benchmark: 1465.2979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8657, kappa: 0.7181, kb_relative_information_score: 591.6367, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.8706, predictive_accuracy: 0.8644, prior_entropy: 0.9561, recall: 0.8644, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7597, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9526, kappa: 0.8992, kb_relative_information_score: 753.3835, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9528, predictive_accuracy: 0.9524, prior_entropy: 0.9561, recall: 0.9524, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.45, scimark_benchmark: 1353.5686, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4784, kb_relative_information_score: -0.1259, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.4846, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9679, kappa: 0.9315, kb_relative_information_score: 775.6033, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9561, recall: 0.9679, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3557, scimark_benchmark: 1384.4418, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9881, kappa: 0.9747, kb_relative_information_score: 819.0422, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9561, recall: 0.9881, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2238, scimark_benchmark: 927.0753, usercpu_time_millis: 710, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 827.2795, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1745, scimark_benchmark: 876.8277, usercpu_time_millis: 3220, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9917, kappa: 0.9823, kb_relative_information_score: 825.5139, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9561, recall: 0.9917, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1883, scimark_benchmark: 923.7642, usercpu_time_millis: 6490, usercpu_time_millis_testing: 1970, usercpu_time_millis_training: 4520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 827.6816, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.1742, scimark_benchmark: 939.7623, usercpu_time_millis: 13380, usercpu_time_millis_testing: 4170, usercpu_time_millis_training: 9210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 821.9011, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.1964, scimark_benchmark: 940.2922, usercpu_time_millis: 1650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9822, kappa: 0.962, kb_relative_information_score: 810.6468, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 0.9561, recall: 0.9822, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2465, scimark_benchmark: 943.2817, usercpu_time_millis: 760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9774, kappa: 0.9518, kb_relative_information_score: 799.4514, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9561, recall: 0.9774, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.2897, scimark_benchmark: 942.1229, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9643, kappa: 0.9241, kb_relative_information_score: 775.4455, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9561, recall: 0.9643, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3557, scimark_benchmark: 936.6206, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9347, kappa: 0.8614, kb_relative_information_score: 708.9402, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9561, recall: 0.9346, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.4919, scimark_benchmark: 938.4278, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9873, kb_relative_information_score: 826.2601, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.1533, scimark_benchmark: 924.6116, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 560.2493, build_memory: 31257713.2461, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 828.0901, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.1613, scimark_benchmark: 939.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 20.575, build_memory: 246686386.2925, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 831.2451, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.1454, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 10.7041, build_memory: 346768559.9334, f_measure: 0.9905, kappa: 0.9797, kb_relative_information_score: 823.6159, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9561, recall: 0.9905, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.1971, scimark_benchmark: 902.712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 21.2585, build_memory: 555425855.7241, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 834.2354, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1232, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 44.1589, build_memory: 341667185.6742, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.0711, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 76.0551, build_memory: 564140814.44, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.0712, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 13.6195, build_memory: 722607222.0309, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.0712, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423, scimark_benchmark: 922.3661,

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

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