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OpenML
Task
Supervised Classification on vote

Supervised Classification on vote

Task 55 Supervised Classification vote 939 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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Metric:

939 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9292, kappa: 0.8518, kb_relative_information_score: 359.0257, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9313, predictive_accuracy: 0.9287, prior_entropy: 0.9627, recall: 0.9287, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4798, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.952, kappa: 0.8994, kb_relative_information_score: 389.556, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9535, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4513, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9609, kappa: 0.9177, kb_relative_information_score: 398.1822, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.406, scimark_benchmark: 1313.9994, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9473, kappa: 0.8893, kb_relative_information_score: 385.2429, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.948, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4723, scimark_benchmark: 1297.6599, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, scimark_benchmark: 894.7222, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 364.6715, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4071, scimark_benchmark: 1315.395, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9563, kappa: 0.9078, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9586, kappa: 0.9127, kb_relative_information_score: 380.0355, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3732, scimark_benchmark: 1325.942, usercpu_time_millis: 2210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 340.6151, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.624, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9427, kappa: 0.8797, kb_relative_information_score: 378.6952, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9434, predictive_accuracy: 0.9425, prior_entropy: 0.9627, recall: 0.9425, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4192, scimark_benchmark: 1319.6463, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9448, kappa: 0.8834, kb_relative_information_score: 382.3566, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9447, predictive_accuracy: 0.9448, prior_entropy: 0.9627, recall: 0.9448, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4535, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.947, kappa: 0.8879, kb_relative_information_score: 368.1595, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4158, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9565, kappa: 0.9086, kb_relative_information_score: 366.5283, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9571, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4085, scimark_benchmark: 1066.7184, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8786, kb_relative_information_score: 380.9298, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9627, recall: 0.9425, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4924, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.8474, kappa: 0.6738, kb_relative_information_score: 296.8245, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.8623, predictive_accuracy: 0.8529, prior_entropy: 0.9627, recall: 0.8529, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7878, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9633, kappa: 0.9226, kb_relative_information_score: 389.274, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9633, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3463, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 384.8958, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4545, scimark_benchmark: 942.1229, usercpu_time_millis: 4150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9474, kappa: 0.8896, kb_relative_information_score: 385.2429, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9484, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4723, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.4669, kb_relative_information_score: -0.0817, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 0.9627, recall: 0.6138, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4869, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9655, kappa: 0.927, kb_relative_information_score: 386.2831, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3508, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9107, kappa: 0.8128, kb_relative_information_score: 356.6268, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9119, predictive_accuracy: 0.9103, prior_entropy: 0.9627, recall: 0.9103, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.549, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9471, kappa: 0.8884, kb_relative_information_score: 384.0152, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4641, scimark_benchmark: 942.6953, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 390.1026, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.202, root_relative_squared_error: 0.415, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 386.4375, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4073, scimark_benchmark: 911.0478, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 386.4375, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4073, scimark_benchmark: 939.7623, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9609, kappa: 0.9177, kb_relative_information_score: 396.683, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4057, scimark_benchmark: 942.1229, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 399.1534, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.187, root_relative_squared_error: 0.384, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9564, kappa: 0.9084, kb_relative_information_score: 393.1913, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9568, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4119, scimark_benchmark: 922.9039, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 393.668, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9526, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4053, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 394.7273, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4202, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.9078, kb_relative_information_score: 389.3953, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4049, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9563, kappa: 0.9078, kb_relative_information_score: 390.2709, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3811, scimark_benchmark: 902.4773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 2.7435, build_memory: 1571791273.5816, f_measure: 0.9428, kappa: 0.8802, kb_relative_information_score: 379.0473, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.9627, recall: 0.9425, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.488, scimark_benchmark: 945.0532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 0.0805, build_memory: 1070793153.931, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 396.9143, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3809, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 0.0047, build_memory: 1355457419.1264, f_measure: 0.9587, kappa: 0.9129, kb_relative_information_score: 386.2332, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3782, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0159, build_memory: 831629534.4, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 381.1947, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.412, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, build_cpu_time: 0.0243, build_memory: 1287416091.8805, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 386.1193, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4097, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, build_cpu_time: 0.0406, build_memory: 1368906643.2736, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 386.4375, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4073, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, build_cpu_time: 2.9709, build_memory: 119580844.3218, f_measure: 0.9493, kappa: 0.8929, kb_relative_information_score: 386.0435, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4211, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 6.7791, build_memory: 352903232.9747, f_measure: 0.9562, kappa: 0.9076, kb_relative_information_score: 394.0526, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.3998, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 13.3768, build_memory: 728956896.9563, f_measure: 0.954, kappa: 0.9028, kb_relative_information_score: 392.3454, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4232, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, build_cpu_time: 29.4593, build_memory: 551708857.3793, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 391.619, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4401, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, build_cpu_time: 51.6401, build_memory: 42110339.6046, f_measure: 0.9517, kappa: 0.8981, kb_relative_information_score: 390.1711, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4452, scimark_benchmark: 886.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 7.6061, build_memory: 93478377.3609, f_measure: 0.9655, kappa: 0.9273, kb_relative_information_score: 400.9803, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3779, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 7.8778, build_memory: 717850651.9356, f_measure: 0.9655, kappa: 0.9273, kb_relative_information_score: 400.9803, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3779, scimark_benchmark: 941.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 7.5003, build_memory: 1282379158.0322, f_measure: 0.9655, kappa: 0.9273, kb_relative_information_score: 400.9803, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3779, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 5.8055, build_memory: 606129552.6253, f_measure: 0.9655, kappa: 0.9273, kb_relative_information_score: 401.1636, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3771, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, build_cpu_time: 3.6093, build_memory: 396461012.377, f_measure: 0.9655, kappa: 0.9273, kb_relative_information_score: 400.1215, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3818, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 0.1588, build_memory: 876648775.7241, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 382.3828, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4132, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 0.1421, build_memory: 1256221632.8092, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 382.3828, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4132, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 0.2064, build_memory: 2604217286.8782, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 382.3828, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4132, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 0.1514, build_memory: 110400721.5264, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 382.3828, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4132, scimark_benchmark: 925.481,

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