Task
Supervised Classification on leukemia

Supervised Classification on leukemia

Task 3940 Supervised Classification leukemia 287 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9285, kappa: 0.8393, kb_relative_information_score: 52.2229, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9372, predictive_accuracy: 0.9306, prior_entropy: 0.9353, recall: 0.9306, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.9147, kappa: 0.809, kb_relative_information_score: 58.0318, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9195, predictive_accuracy: 0.9167, prior_entropy: 0.9353, recall: 0.9167, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8776, kappa: 0.7412, kb_relative_information_score: 48.3958, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8969, predictive_accuracy: 0.875, prior_entropy: 0.9353, recall: 0.875, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9585, kappa: 0.9089, kb_relative_information_score: 58.0607, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9591, predictive_accuracy: 0.9583, prior_entropy: 0.9353, recall: 0.9583, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.986, kappa: 0.9691, kb_relative_information_score: 69.4377, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 0.9353, recall: 0.9861, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9449, kappa: 0.8797, kb_relative_information_score: 41.4514, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9469, predictive_accuracy: 0.9444, prior_entropy: 0.9353, recall: 0.9444, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.292, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9179, kappa: 0.8228, kb_relative_information_score: 57.9097, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.925, predictive_accuracy: 0.9167, prior_entropy: 0.9353, recall: 0.9167, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.811, kappa: 0.5738, kb_relative_information_score: 40.6083, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8212, predictive_accuracy: 0.8194, prior_entropy: 0.9353, recall: 0.8194, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.44, f_measure: 0.5156, kb_relative_information_score: 0.0982, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9285, kappa: 0.8393, kb_relative_information_score: 39.2132, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9372, predictive_accuracy: 0.9306, prior_entropy: 0.9353, recall: 0.9306, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7828, kappa: 0.5439, kb_relative_information_score: 35.2202, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8068, predictive_accuracy: 0.7778, prior_entropy: 0.9353, recall: 0.7778, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.6998, kappa: 0.3367, kb_relative_information_score: 33.0005, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8192, predictive_accuracy: 0.75, prior_entropy: 0.9353, recall: 0.75, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0062, scimark_benchmark: 1586.7278, usercpu_time_millis: 134156.25, usercpu_time_millis_testing: 6875, usercpu_time_millis_training: 127281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9722, kappa: 0.9387, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 1922.3298, usercpu_time_millis: 1640.625, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9722, kappa: 0.9387, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 1922.3298, usercpu_time_millis: 1531.25, usercpu_time_millis_testing: 765.625, usercpu_time_millis_training: 765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 1922.3298, usercpu_time_millis: 1531.25, usercpu_time_millis_testing: 781.25, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 1280.301, usercpu_time_millis: 1937.5, usercpu_time_millis_testing: 968.75, usercpu_time_millis_training: 968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9581, kappa: 0.9072, kb_relative_information_score: 64.1792, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9353, recall: 0.9583, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4192, scimark_benchmark: 1394.3135, usercpu_time_millis: 136360, usercpu_time_millis_testing: 4350, usercpu_time_millis_training: 132010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 1604.0282, usercpu_time_millis: 1750, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 1662.987, usercpu_time_millis: 2250, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9722, kappa: 0.9387, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 1386.1218, usercpu_time_millis: 2780, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9722, kappa: 0.9387, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 1379.4472, usercpu_time_millis: 1850, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6998, kappa: 0.3367, kb_relative_information_score: 31.3453, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8192, predictive_accuracy: 0.75, prior_entropy: 0.9353, recall: 0.75, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.0329, scimark_benchmark: 1665.974, usercpu_time_millis: 39015.625, usercpu_time_millis_testing: 9078.125, usercpu_time_millis_training: 29937.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.9048, kappa: 0.7987, kb_relative_information_score: 55.7507, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.924, predictive_accuracy: 0.9028, prior_entropy: 0.9353, recall: 0.9028, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6549, scimark_benchmark: 1097.745, usercpu_time_millis: 1170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9722, kappa: 0.9387, kb_relative_information_score: 67.193, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.346, scimark_benchmark: 1338.4015, usercpu_time_millis: 600, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9722, kappa: 0.9387, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 800.577, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.9048, kappa: 0.7987, kb_relative_information_score: 55.7507, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.924, predictive_accuracy: 0.9028, prior_entropy: 0.9353, recall: 0.9028, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6549, scimark_benchmark: 1186.3158, usercpu_time_millis: 1510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8712, kappa: 0.7107, kb_relative_information_score: 48.9393, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8774, predictive_accuracy: 0.875, prior_entropy: 0.9353, recall: 0.875, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6762, scimark_benchmark: 1199.8178, usercpu_time_millis: 25170, usercpu_time_millis_testing: 5060, usercpu_time_millis_training: 20110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9183, kappa: 0.8259, kb_relative_information_score: 57.3524, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9328, predictive_accuracy: 0.9167, prior_entropy: 0.9353, recall: 0.9167, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.583, scimark_benchmark: 1322.3957, usercpu_time_millis: 165880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 165870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8729, kappa: 0.7163, kb_relative_information_score: 49.9336, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8743, predictive_accuracy: 0.875, prior_entropy: 0.9353, recall: 0.875, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.732, scimark_benchmark: 1328.9707, usercpu_time_millis: 410, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9581, kappa: 0.9072, kb_relative_information_score: 64.9121, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9353, recall: 0.9583, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4254, scimark_benchmark: 1358.1735, usercpu_time_millis: 16200, usercpu_time_millis_training: 16200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8632, kappa: 0.7047, kb_relative_information_score: 47.3859, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8706, predictive_accuracy: 0.8611, prior_entropy: 0.9353, recall: 0.8611, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.762, scimark_benchmark: 808.1107, usercpu_time_millis: 870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9032, kappa: 0.7875, kb_relative_information_score: 52.0767, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.904, predictive_accuracy: 0.9028, prior_entropy: 0.9353, recall: 0.9028, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6226, scimark_benchmark: 950.8932, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.8982, kappa: 0.7705, kb_relative_information_score: 32.3267, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9154, predictive_accuracy: 0.9028, prior_entropy: 0.9353, recall: 0.9028, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6584, scimark_benchmark: 1056.6694, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9862, kappa: 0.9696, kb_relative_information_score: 69.4377, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9866, predictive_accuracy: 0.9861, prior_entropy: 0.9353, recall: 0.9861, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2475, scimark_benchmark: 1123.6406, usercpu_time_millis: 1520, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7953, kappa: 0.561, kb_relative_information_score: 36.592, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8065, predictive_accuracy: 0.7917, prior_entropy: 0.9353, recall: 0.7917, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9295, scimark_benchmark: 1159.4022, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9722, kappa: 0.9387, kb_relative_information_score: 67.193, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.346, scimark_benchmark: 1245.4234, usercpu_time_millis: 510, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9722, kappa: 0.9387, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 1151.7561, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8337, kappa: 0.6243, kb_relative_information_score: 42.9747, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8762, predictive_accuracy: 0.8472, prior_entropy: 0.9353, recall: 0.8472, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6888, scimark_benchmark: 936.1914, usercpu_time_millis: 33430, usercpu_time_millis_testing: 7300, usercpu_time_millis_training: 26130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7953, kappa: 0.561, kb_relative_information_score: 36.592, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8065, predictive_accuracy: 0.7917, prior_entropy: 0.9353, recall: 0.7917, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9295, scimark_benchmark: 1311.9537, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.986, kappa: 0.9691, kb_relative_information_score: 69.4377, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 0.9353, recall: 0.9861, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2475, scimark_benchmark: 1874.6491, usercpu_time_millis: 147608.1462, usercpu_time_millis_training: 147608.1462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.986, kappa: 0.9691, kb_relative_information_score: 69.4742, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 0.9353, recall: 0.9861, relative_absolute_error: 0.0298, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2417, scimark_benchmark: 1850.8887, usercpu_time_millis: 343.2022, usercpu_time_millis_testing: 280.8018, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: -0.3629, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0019, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.849, kappa: 0.6722, kb_relative_information_score: 45.644, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8539, predictive_accuracy: 0.8472, prior_entropy: 0.9353, recall: 0.8472, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8039, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9444, kappa: 0.8774, kb_relative_information_score: 60.1144, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9353, recall: 0.9444, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4191, scimark_benchmark: 972.587, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9719, kappa: 0.9376, kb_relative_information_score: 64.7875, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9734, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3542, scimark_benchmark: 851.2074, usercpu_time_millis: 8580, usercpu_time_millis_training: 8580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9285, kappa: 0.8393, kb_relative_information_score: 51.3839, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9372, predictive_accuracy: 0.9306, prior_entropy: 0.9353, recall: 0.9306, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4766, scimark_benchmark: 941.6675, usercpu_time_millis: 870, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: 5.6228, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0325, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 938.5498, usercpu_time_millis: 3530, usercpu_time_millis_testing: 1750, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9719, kappa: 0.9376, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9734, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9719, kappa: 0.9376, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9734, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 974.2014, usercpu_time_millis: 470, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8827, kappa: 0.7351, kb_relative_information_score: 28.7007, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9051, predictive_accuracy: 0.8889, prior_entropy: 0.9353, recall: 0.8889, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7036, scimark_benchmark: 937.5117, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9439, kappa: 0.8751, kb_relative_information_score: 51.6883, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9449, predictive_accuracy: 0.9444, prior_entropy: 0.9353, recall: 0.9444, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4696, scimark_benchmark: 851.2074, usercpu_time_millis: 488900, usercpu_time_millis_testing: 232930, usercpu_time_millis_training: 255970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.849, kappa: 0.6722, kb_relative_information_score: 45.644, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8539, predictive_accuracy: 0.8472, prior_entropy: 0.9353, recall: 0.8472, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8039, scimark_benchmark: 942.2392, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9444, kappa: 0.8774, kb_relative_information_score: 60.1074, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9353, recall: 0.9444, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4191, scimark_benchmark: 935.2002, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 730.6551, usercpu_time_millis: 5290, usercpu_time_millis_testing: 2740, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 14.6897, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 930.404, usercpu_time_millis: 2580, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9285, kappa: 0.8393, kb_relative_information_score: 51.3839, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9372, predictive_accuracy: 0.9306, prior_entropy: 0.9353, recall: 0.9306, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4766, scimark_benchmark: 933.3455, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: 5.6228, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0325, scimark_benchmark: 920.2531, usercpu_time_millis: 390, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9719, kappa: 0.9376, kb_relative_information_score: 67.1565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9734, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 941.3057, usercpu_time_millis: 1588750, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1588650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8827, kappa: 0.7351, kb_relative_information_score: 28.7007, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9051, predictive_accuracy: 0.8889, prior_entropy: 0.9353, recall: 0.8889, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7036, scimark_benchmark: 917.5013, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9147, kappa: 0.809, kb_relative_information_score: 50.8385, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.9195, predictive_accuracy: 0.9167, prior_entropy: 0.9353, recall: 0.9167, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4797, scimark_benchmark: 924.2305, usercpu_time_millis: 280930, usercpu_time_millis_testing: 133300, usercpu_time_millis_training: 147630,

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