Task
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 24607 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 625.8175, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3373, scimark_benchmark: 1336.0954, usercpu_time_millis: 11880, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 11820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 595.6603, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3747, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 642.0291, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3359, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9499, kappa: 0.8891, kb_relative_information_score: 594.3379, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4421, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 625.8175, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3373, scimark_benchmark: 1324.7884, usercpu_time_millis: 8060, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 8000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9499, kappa: 0.8891, kb_relative_information_score: 594.3379, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4421, scimark_benchmark: 1317.8359, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9499, kappa: 0.8891, kb_relative_information_score: 594.3379, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4421, scimark_benchmark: 933.4598, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 611.8371, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3476, scimark_benchmark: 942.3809, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9601, kappa: 0.9119, kb_relative_information_score: 632.5596, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9603, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3961, scimark_benchmark: 942.3809, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 642.0291, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3359, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 625.8175, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3373, scimark_benchmark: 952.4682, usercpu_time_millis: 18270, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 18210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 595.6603, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3747, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 642.0291, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3359, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 642.0291, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3359, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 642.0291, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3359, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9589, kappa: 0.9102, kb_relative_information_score: 631.7756, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4285, scimark_benchmark: 928.8135, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9513, kappa: 0.8921, kb_relative_information_score: 608.2088, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9513, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3994, scimark_benchmark: 898.5878, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 601.2791, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3642, scimark_benchmark: 926.4745, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9499, kappa: 0.8891, kb_relative_information_score: 594.3379, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4421, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9515, kappa: 0.8932, kb_relative_information_score: 526.9047, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.952, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.449, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 542.6195, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3981, scimark_benchmark: 933.0918, usercpu_time_millis: 1160, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5187, kb_relative_information_score: 142.5898, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.2354, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9542, kappa: 0.8987, kb_relative_information_score: 613.3719, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4508, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 624.5274, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4296, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9529, kappa: 0.8958, kb_relative_information_score: 623.6105, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.953, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4291, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 630.7425, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4162, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9571, kappa: 0.9052, kb_relative_information_score: 631.0917, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.409, scimark_benchmark: 936.1714, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -0.1304, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 617.4981, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3989, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 617.4981, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3989, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 617.4981, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3989, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 617.4981, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3989, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 617.4981, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3989, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9729, kappa: 0.9404, kb_relative_information_score: 620.4031, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9734, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3367, scimark_benchmark: 894.7131, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9687, kappa: 0.9312, kb_relative_information_score: 620.8543, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9695, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3343, scimark_benchmark: 939.7883, usercpu_time_millis: 240, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9715, kappa: 0.9374, kb_relative_information_score: 622.3267, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9723, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3308, scimark_benchmark: 920.5394, usercpu_time_millis: 470, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9744, kappa: 0.9437, kb_relative_information_score: 623.2976, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9752, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3236, scimark_benchmark: 934.695, usercpu_time_millis: 900, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 650,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 626.5977, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4064, scimark_benchmark: 1237.8253, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.973, kappa: 0.9407, kb_relative_information_score: 652.3624, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9741, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3434, scimark_benchmark: 1235.9842, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9455, kappa: 0.8792, kb_relative_information_score: 585.7987, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4439, scimark_benchmark: 1238.4742, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9628, kappa: 0.9175, kb_relative_information_score: 622.074, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3486, scimark_benchmark: 1251.2564, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9557, kappa: 0.9021, kb_relative_information_score: 585.4517, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9558, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3719, scimark_benchmark: 1246.8642, usercpu_time_millis: 1090, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 632.2789, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4186, scimark_benchmark: 1336.8944, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 611.8371, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3476, scimark_benchmark: 1336.8944, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -0.1304, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -0.1304, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -0.1304, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 632.2789, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4186, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 632.2789, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4186, scimark_benchmark: 1851.1033, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 611.8371, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3476, scimark_benchmark: 1851.1033, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 611.8371, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3476, scimark_benchmark: 1850.8887, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9525, kappa: 0.8944, kb_relative_information_score: 612.1069, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4009, scimark_benchmark: 1887.4343, usercpu_time_millis: 811.2052, usercpu_time_millis_testing: 811.2052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 626.5977, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4064, scimark_benchmark: 1887.4343, usercpu_time_millis: 468.003, usercpu_time_millis_training: 468.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9602, kappa: 0.9127, kb_relative_information_score: 634.1791, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9616, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4179, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9602, kappa: 0.9127, kb_relative_information_score: 634.1791, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9616, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4179, scimark_benchmark: 1732.2066,

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