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OpenML
OpenML
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 24605 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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24605 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9714, kappa: 0.9369, kb_relative_information_score: 635.8249, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9716, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.164, root_relative_squared_error: 0.345, scimark_benchmark: 942.9518, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 645.6205, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9598, kappa: 0.9108, kb_relative_information_score: 634.0831, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4211, scimark_benchmark: 1363.434, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, 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: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899, scimark_benchmark: 894.7222, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9627, kappa: 0.9173, kb_relative_information_score: 620.9059, mean_absolute_error: 0.0529, 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: 0.1171, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3506, scimark_benchmark: 939.449, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9671, kappa: 0.9271, kb_relative_information_score: 645.6205, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1363.434, usercpu_time_millis: 8660, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 8600,
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: 1368.9272, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
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: 1301.9956, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9327, kappa: 0.8507, kb_relative_information_score: 587.6449, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5467, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9515, kappa: 0.893, kb_relative_information_score: 590.2138, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9518, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4414, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9486, kappa: 0.8865, kb_relative_information_score: 591.8876, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9488, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4543, scimark_benchmark: 1355.7054, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9658, kappa: 0.9245, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899, scimark_benchmark: 1353.6735, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8769, kappa: 0.7212, kb_relative_information_score: 509.4792, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.8936, predictive_accuracy: 0.8827, prior_entropy: 0.9297, recall: 0.8827, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7206, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9443, kappa: 0.8771, kb_relative_information_score: 599.9492, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9446, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4574, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9147, kappa: 0.8096, kb_relative_information_score: 562.5512, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9154, predictive_accuracy: 0.9156, prior_entropy: 0.9297, recall: 0.9156, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6113, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9431, kappa: 0.8748, kb_relative_information_score: 606.3933, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5033, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1054.3694,
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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9629, kappa: 0.9183, kb_relative_information_score: 636.1196, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9634, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.382, scimark_benchmark: 911.3823, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 615.338, mean_absolute_error: 0.055, 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: 0.1216, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.396, scimark_benchmark: 922.9039, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 615.338, mean_absolute_error: 0.055, 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: 0.1216, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.396, scimark_benchmark: 911.0478, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 615.338, mean_absolute_error: 0.055, 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: 0.1216, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.396, scimark_benchmark: 926.6717, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, 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: 922.9039, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
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: 926.6717, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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: 876.8277, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 939.7623, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 933.8635, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 625.2564, mean_absolute_error: 0.0469, 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: 0.1038, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4098, scimark_benchmark: 924.6116, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 626.0276, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.395, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 625.2062, mean_absolute_error: 0.0482, 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: 0.1066, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.382, scimark_benchmark: 910.8389, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9585, kappa: 0.9081, kb_relative_information_score: 618.2658, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3839, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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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: 938.9865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, build_cpu_time: 0.0796, build_memory: 1916719185.9685, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 632.4664, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3871, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.0247, build_memory: 437876560.7439, f_measure: 0.9628, kappa: 0.9175, kb_relative_information_score: 628.3624, mean_absolute_error: 0.0453, 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: 0.1002, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3861, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 0.0125, build_memory: 1607342182.1116, f_measure: 0.9483, kappa: 0.8851, kb_relative_information_score: 610.6947, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9484, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4185, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 12.2414, build_memory: 1040338977.8426, f_measure: 0.9513, kappa: 0.8919, kb_relative_information_score: 615.6634, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4346, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 24.3875, build_memory: 821045053.2647, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 629.6618, mean_absolute_error: 0.0432, 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: 0.0955, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4052, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_cpu_time: 50.794, build_memory: 836839208.6638, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 639.7616, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3818, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 111.8468, build_memory: 49948505.2589, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 638.218, mean_absolute_error: 0.0376, 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: 0.0831, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.398, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 187.9647, build_memory: 48335326.6037, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.5208, mean_absolute_error: 0.035, 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: 0.0774, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3888, scimark_benchmark: 934.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, build_cpu_time: 48.4728, build_memory: 171927359.1531, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 649.987, mean_absolute_error: 0.0303, 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: 0.0669, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3649, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, build_cpu_time: 26.5276, build_memory: 1368885820.8069, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 647.7697, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 12.4614, build_memory: 54886283.3076, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 643.3141, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3898, scimark_benchmark: 886.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 5.6906, build_memory: 543643181.8255, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 641.2515, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3923, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, build_cpu_time: 2.7992, build_memory: 1247565496.8584, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 637.526, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4026, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 0.7156, build_memory: 210392854.7411, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 627.9234, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4191, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 1.1749, build_memory: 887990390.123, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 633.3472, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4131, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 1.7839, build_memory: 876523585.1445, f_measure: 0.9571, kappa: 0.9052, kb_relative_information_score: 631.0486, mean_absolute_error: 0.0419, 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: 0.0927, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4272, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, build_cpu_time: 3.6364, build_memory: 95745053.3333, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 637.3445, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4073, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, build_cpu_time: 7.751, build_memory: 719299605.5508, f_measure: 0.9644, kappa: 0.9214, kb_relative_information_score: 641.2053, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9647, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.396, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 0.314, build_memory: 175996808.9843, f_measure: 0.9644, kappa: 0.9214, kb_relative_information_score: 641.7369, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9647, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.078, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3883, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 0.3695, build_memory: 1234855291.3877, f_measure: 0.9644, kappa: 0.9214, kb_relative_information_score: 642.0058, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9647, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3879, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 0.2475, build_memory: 2438390628.8412, f_measure: 0.9601, kappa: 0.912, kb_relative_information_score: 635.8625, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9605, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4068, scimark_benchmark: 916.8516,

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