OpenML
Supervised Classification on lymphoma_11classes

Supervised Classification on lymphoma_11classes

Task 3943 Supervised Classification lymphoma_11classes 167 runs submitted
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  • study_1 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6064, kappa: 0.5313, kb_relative_information_score: 51.5583, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6145, predictive_accuracy: 0.6042, prior_entropy: 3.0892, recall: 0.6042, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.256, root_relative_squared_error: 0.9223, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.643, kappa: 0.5835, kb_relative_information_score: 57.5277, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6654, predictive_accuracy: 0.6458, prior_entropy: 3.0892, recall: 0.6458, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.7486, scimark_benchmark: 851.2074, usercpu_time_millis: 10100, usercpu_time_millis_training: 10100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8226, kappa: 0.8374, kb_relative_information_score: 75.0391, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7862, predictive_accuracy: 0.8646, prior_entropy: 3.0892, recall: 0.8646, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5653, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8226, kappa: 0.8374, kb_relative_information_score: 75.0391, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7862, predictive_accuracy: 0.8646, prior_entropy: 3.0892, recall: 0.8646, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5653, scimark_benchmark: 916.0735, usercpu_time_millis: 4340, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.6208, kappa: 0.5952, kb_relative_information_score: 42.3373, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6083, predictive_accuracy: 0.6667, prior_entropy: 3.0892, recall: 0.6667, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.7906, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8226, kappa: 0.8374, kb_relative_information_score: 75.0391, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7862, predictive_accuracy: 0.8646, prior_entropy: 3.0892, recall: 0.8646, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5653, scimark_benchmark: 938.5498, usercpu_time_millis: 3920, usercpu_time_millis_testing: 1460, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9055, kappa: 0.89, kb_relative_information_score: 84.0966, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.9144, predictive_accuracy: 0.9063, prior_entropy: 3.0892, recall: 0.9063, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.4567, scimark_benchmark: 941.3847, usercpu_time_millis: 1150, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.782, kappa: 0.7605, kb_relative_information_score: 51.7762, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.782, predictive_accuracy: 0.8021, prior_entropy: 3.0892, recall: 0.8021, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.708, scimark_benchmark: 947.1781, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6064, kappa: 0.5313, kb_relative_information_score: 51.5583, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6145, predictive_accuracy: 0.6042, prior_entropy: 3.0892, recall: 0.6042, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.256, root_relative_squared_error: 0.9223, scimark_benchmark: 942.2392, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8226, kappa: 0.8374, kb_relative_information_score: 75.0391, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7862, predictive_accuracy: 0.8646, prior_entropy: 3.0892, recall: 0.8646, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5653, scimark_benchmark: 931.7096, usercpu_time_millis: 3490, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8226, kappa: 0.8374, kb_relative_information_score: 75.0391, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7862, predictive_accuracy: 0.8646, prior_entropy: 3.0892, recall: 0.8646, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5653, scimark_benchmark: 930.404, usercpu_time_millis: 2190, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9055, kappa: 0.89, kb_relative_information_score: 84.0966, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.9144, predictive_accuracy: 0.9063, prior_entropy: 3.0892, recall: 0.9063, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.4567, scimark_benchmark: 938.1282, usercpu_time_millis: 880, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.6208, kappa: 0.5952, kb_relative_information_score: 42.3373, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6083, predictive_accuracy: 0.6667, prior_entropy: 3.0892, recall: 0.6667, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.7906, scimark_benchmark: 930.404, usercpu_time_millis: 1790, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.7756, kappa: 0.7286, kb_relative_information_score: 71.6211, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7891, predictive_accuracy: 0.7708, prior_entropy: 3.0892, recall: 0.7708, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6764, scimark_benchmark: 934.695, usercpu_time_millis: 11678790, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 11676750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.782, kappa: 0.7605, kb_relative_information_score: 51.7762, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.782, predictive_accuracy: 0.8021, prior_entropy: 3.0892, recall: 0.8021, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.708, scimark_benchmark: 730.6551, usercpu_time_millis: 800, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8521, kappa: 0.8503, kb_relative_information_score: 62.6058, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.8351, predictive_accuracy: 0.875, prior_entropy: 3.0892, recall: 0.875, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5963, scimark_benchmark: 869.7667, usercpu_time_millis: 163710, usercpu_time_millis_testing: 74920, usercpu_time_millis_training: 88790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8239, kappa: 0.8254, kb_relative_information_score: 62.9545, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.8176, predictive_accuracy: 0.8542, prior_entropy: 3.0892, recall: 0.8542, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.6011, scimark_benchmark: 894.7131, usercpu_time_millis: 67090, usercpu_time_millis_testing: 29050, usercpu_time_millis_training: 38040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3959, f_measure: 0.1283, kappa: -0.0367, kb_relative_information_score: -0.0401, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.0967, predictive_accuracy: 0.2083, prior_entropy: 3.0892, recall: 0.2083, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2782, root_relative_squared_error: 1.0023, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 929.0296, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 929.0296, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4817, f_measure: 0.1283, kappa: -0.0367, kb_relative_information_score: 9.1444, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.0967, predictive_accuracy: 0.2083, prior_entropy: 3.0892, recall: 0.2083, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.3669, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.6879, kappa: 0.6484, kb_relative_information_score: 48.0112, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6777, predictive_accuracy: 0.7083, prior_entropy: 3.0892, recall: 0.7083, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.7598, scimark_benchmark: 942.6192, usercpu_time_millis: 6360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.7974, kappa: 0.7661, kb_relative_information_score: 53.9726, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.798, predictive_accuracy: 0.8021, prior_entropy: 3.0892, recall: 0.8021, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6823, scimark_benchmark: 935.6052, usercpu_time_millis: 35060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 35050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.1779, kappa: 0.078, kb_relative_information_score: 10.891, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1312, predictive_accuracy: 0.2917, prior_entropy: 3.0892, recall: 0.2917, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9923, scimark_benchmark: 933.0918, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.7771, kappa: 0.7512, kb_relative_information_score: 69.7568, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7666, predictive_accuracy: 0.7917, prior_entropy: 3.0892, recall: 0.7917, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.672, scimark_benchmark: 940.0055, usercpu_time_millis: 3063770, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 3063350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6064, kappa: 0.5313, kb_relative_information_score: 51.5583, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6145, predictive_accuracy: 0.6042, prior_entropy: 3.0892, recall: 0.6042, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.256, root_relative_squared_error: 0.9223, scimark_benchmark: 923.509, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.643, kappa: 0.5835, kb_relative_information_score: 57.5276, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6654, predictive_accuracy: 0.6458, prior_entropy: 3.0892, recall: 0.6458, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.749, scimark_benchmark: 903.4813, usercpu_time_millis: 13340, usercpu_time_millis_training: 13340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8226, kappa: 0.8374, kb_relative_information_score: 75.0391, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7862, predictive_accuracy: 0.8646, prior_entropy: 3.0892, recall: 0.8646, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5653, scimark_benchmark: 890.5596, usercpu_time_millis: 3600, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8226, kappa: 0.8374, kb_relative_information_score: 75.0391, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7862, predictive_accuracy: 0.8646, prior_entropy: 3.0892, recall: 0.8646, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5653, scimark_benchmark: 939.3886, usercpu_time_millis: 3760, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.6208, kappa: 0.5952, kb_relative_information_score: 42.3373, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6083, predictive_accuracy: 0.6667, prior_entropy: 3.0892, recall: 0.6667, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.7906, scimark_benchmark: 935.627, usercpu_time_millis: 2030, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.7756, kappa: 0.7286, kb_relative_information_score: 71.6211, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7891, predictive_accuracy: 0.7708, prior_entropy: 3.0892, recall: 0.7708, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6764, scimark_benchmark: 946.9304, usercpu_time_millis: 11156520, usercpu_time_millis_testing: 2590, usercpu_time_millis_training: 11153930,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6064, kappa: 0.5313, kb_relative_information_score: 51.5583, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6145, predictive_accuracy: 0.6042, prior_entropy: 3.0892, recall: 0.6042, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.256, root_relative_squared_error: 0.9223, scimark_benchmark: 936.4883, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8345, kappa: 0.8256, kb_relative_information_score: 75.1584, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.82, predictive_accuracy: 0.8542, prior_entropy: 3.0892, recall: 0.8542, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.5492, scimark_benchmark: 1357.483, usercpu_time_millis: 3280, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.7756, kappa: 0.7286, kb_relative_information_score: 71.6211, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7891, predictive_accuracy: 0.7708, prior_entropy: 3.0892, recall: 0.7708, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6764, scimark_benchmark: 1313.5052, usercpu_time_millis: 12187520, usercpu_time_millis_testing: 6070, usercpu_time_millis_training: 12181450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7484, kappa: 0.7482, kb_relative_information_score: 48.4565, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7167, predictive_accuracy: 0.7917, prior_entropy: 3.0892, recall: 0.7917, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.7274, scimark_benchmark: 1338.9438, usercpu_time_millis: 4930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.6788, kappa: 0.6387, kb_relative_information_score: 57.8917, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7186, predictive_accuracy: 0.7083, prior_entropy: 3.0892, recall: 0.7083, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.8292, scimark_benchmark: 1334.4761, usercpu_time_millis: 5070, usercpu_time_millis_testing: 1700, usercpu_time_millis_training: 3370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.5641, kappa: 0.4947, kb_relative_information_score: 49.2555, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.5753, predictive_accuracy: 0.5833, prior_entropy: 3.0892, recall: 0.5833, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.8617, scimark_benchmark: 1314.9535, usercpu_time_millis: 3880, usercpu_time_millis_training: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7309, kappa: 0.7461, kb_relative_information_score: 49.2143, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.685, predictive_accuracy: 0.7917, prior_entropy: 3.0892, recall: 0.7917, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.7158, scimark_benchmark: 1320.9366, usercpu_time_millis: 17680, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 17600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.7313, kappa: 0.747, kb_relative_information_score: 49.1369, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6827, predictive_accuracy: 0.7917, prior_entropy: 3.0892, recall: 0.7917, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.7186, scimark_benchmark: 883.2709, usercpu_time_millis: 10050, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 9970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.7618, kappa: 0.7722, kb_relative_information_score: 47.7307, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7403, predictive_accuracy: 0.8125, prior_entropy: 3.0892, recall: 0.8125, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.7269, scimark_benchmark: 1347.388, usercpu_time_millis: 27920, usercpu_time_millis_training: 27920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9055, kappa: 0.89, kb_relative_information_score: 84.0966, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.9144, predictive_accuracy: 0.9063, prior_entropy: 3.0892, recall: 0.9063, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.4567, scimark_benchmark: 937.1527, usercpu_time_millis: 910, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6064, kappa: 0.5313, kb_relative_information_score: 51.5583, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6145, predictive_accuracy: 0.6042, prior_entropy: 3.0892, recall: 0.6042, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.256, root_relative_squared_error: 0.9223, scimark_benchmark: 1314.7093, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.38, kappa: 0.2706, kb_relative_information_score: 27.7688, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.3914, predictive_accuracy: 0.375, prior_entropy: 3.0892, recall: 0.375, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.334, root_relative_squared_error: 1.2032, scimark_benchmark: 932.0242, usercpu_time_millis: 80420, usercpu_time_millis_training: 80420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8103, kappa: 0.8008, kb_relative_information_score: 74.5682, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7929, predictive_accuracy: 0.8333, prior_entropy: 3.0892, recall: 0.8333, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.571, scimark_benchmark: 1308.3432, usercpu_time_millis: 23230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 23170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.7149, kappa: 0.7342, kb_relative_information_score: 47.9923, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6657, predictive_accuracy: 0.7813, prior_entropy: 3.0892, recall: 0.7813, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.7302, scimark_benchmark: 1360.1753, usercpu_time_millis: 6540, usercpu_time_millis_training: 6540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8887, kappa: 0.877, kb_relative_information_score: 83.0917, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.8877, predictive_accuracy: 0.8958, prior_entropy: 3.0892, recall: 0.8958, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4958, scimark_benchmark: 1358.4523, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.4188, kappa: 0.381, kb_relative_information_score: 33.2389, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.4733, predictive_accuracy: 0.4792, prior_entropy: 3.0892, recall: 0.4792, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.9209, scimark_benchmark: 904.3681, usercpu_time_millis: 28870, usercpu_time_millis_testing: 28860, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0855, kb_relative_information_score: 2.6168, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.0525, predictive_accuracy: 0.2292, prior_entropy: 3.0892, recall: 0.2292, relative_absolute_error: 1.0655, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0357, scimark_benchmark: 1319.4881, usercpu_time_millis: 55960, usercpu_time_millis_testing: 55960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.4728, kappa: 0.4291, kb_relative_information_score: 31.6263, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.634, predictive_accuracy: 0.4792, prior_entropy: 3.0892, recall: 0.4792, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.909, scimark_benchmark: 1345.4669, usercpu_time_millis: 410, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3959, f_measure: 0.1283, kappa: -0.0367, kb_relative_information_score: -0.0401, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.0967, predictive_accuracy: 0.2083, prior_entropy: 3.0892, recall: 0.2083, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2782, root_relative_squared_error: 1.0023, scimark_benchmark: 1316.8289, usercpu_time_millis: 1040, usercpu_time_millis_testing: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4459, kappa: 0.3655, kb_relative_information_score: 9.6524, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.5723, predictive_accuracy: 0.5, prior_entropy: 3.0892, recall: 0.5, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9835, scimark_benchmark: 1340.9497, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.6958, kappa: 0.6489, kb_relative_information_score: 61.2738, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6909, predictive_accuracy: 0.7083, prior_entropy: 3.0892, recall: 0.7083, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.8297, scimark_benchmark: 789.1062, usercpu_time_millis: 36770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 36750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.2351, kappa: 0.1486, kb_relative_information_score: 22.7368, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.2136, predictive_accuracy: 0.3125, prior_entropy: 3.0892, recall: 0.3125, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.9669, scimark_benchmark: 1313.0885, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.4597, kappa: 0.3541, kb_relative_information_score: 36.7258, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.4791, predictive_accuracy: 0.4583, prior_entropy: 3.0892, recall: 0.4583, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2862, root_relative_squared_error: 1.0313, scimark_benchmark: 1311.7039, usercpu_time_millis: 2540, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.6113, kappa: 0.5429, kb_relative_information_score: 51.3378, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6114, predictive_accuracy: 0.6146, prior_entropy: 3.0892, recall: 0.6146, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.9032, scimark_benchmark: 1327.2954, usercpu_time_millis: 3720, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.6909, kappa: 0.6736, kb_relative_information_score: 46.5866, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.662, predictive_accuracy: 0.7292, prior_entropy: 3.0892, recall: 0.7292, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.7467, scimark_benchmark: 943.1756, usercpu_time_millis: 1290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.7501, kappa: 0.7594, kb_relative_information_score: 47.8854, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7198, predictive_accuracy: 0.8021, prior_entropy: 3.0892, recall: 0.8021, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.7274, scimark_benchmark: 1261.7298, usercpu_time_millis: 14190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.7771, kappa: 0.7512, kb_relative_information_score: 69.7568, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7666, predictive_accuracy: 0.7917, prior_entropy: 3.0892, recall: 0.7917, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.672, scimark_benchmark: 1339.944, usercpu_time_millis: 962380, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 962230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6064, kappa: 0.5313, kb_relative_information_score: 51.5583, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6145, predictive_accuracy: 0.6042, prior_entropy: 3.0892, recall: 0.6042, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.256, root_relative_squared_error: 0.9223, scimark_benchmark: 1334.8495, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,

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