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OpenML
OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 1898 Supervised Classification mfeat-morphological 375 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
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375 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.6974, kappa: 0.6655, kb_relative_information_score: 14994.8816, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6981, predictive_accuracy: 0.699, prior_entropy: 3.3219, recall: 0.699, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6799, scimark_benchmark: 1324.8395, usercpu_time_millis: 300, usercpu_time_millis_testing: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.5221, kappa: 0.5162, kb_relative_information_score: 5182.9346, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5898, predictive_accuracy: 0.5646, prior_entropy: 3.3219, recall: 0.5646, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9279, scimark_benchmark: 930.5999, usercpu_time_millis: 6530, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.6964, kappa: 0.6702, kb_relative_information_score: 5544.4911, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.709, predictive_accuracy: 0.7032, prior_entropy: 3.3219, recall: 0.7032, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9192, scimark_benchmark: 915.9324, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.7404, kappa: 0.7124, kb_relative_information_score: 15232.5713, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7432, predictive_accuracy: 0.7412, prior_entropy: 3.3219, recall: 0.7412, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.601, scimark_benchmark: 1363.434, usercpu_time_millis: 1770, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.2216, kappa: 0.1537, kb_relative_information_score: 4069.9761, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2227, predictive_accuracy: 0.2384, prior_entropy: 3.3219, recall: 0.2384, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.301, scimark_benchmark: 912.5006, usercpu_time_millis: 1810, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 1372.2145, usercpu_time_millis: 1100, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.6494, kappa: 0.6109, kb_relative_information_score: 12817.0539, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6496, predictive_accuracy: 0.6499, prior_entropy: 3.3219, recall: 0.6499, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.8718, scimark_benchmark: 1325.942, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.6977, kappa: 0.6856, kb_relative_information_score: 14699.1292, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7113, predictive_accuracy: 0.7171, prior_entropy: 3.3219, recall: 0.7171, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6502, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.703, kappa: 0.6948, kb_relative_information_score: 14662.8639, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7214, predictive_accuracy: 0.7254, prior_entropy: 3.3219, recall: 0.7254, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446, scimark_benchmark: 1355.7054, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.6761, kappa: 0.6409, kb_relative_information_score: 13241.2693, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6759, predictive_accuracy: 0.6769, prior_entropy: 3.3219, recall: 0.6769, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.8474, scimark_benchmark: 1294.7826, usercpu_time_millis: 270, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.2343, kappa: 0.2002, kb_relative_information_score: 4945.2752, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3139, predictive_accuracy: 0.2802, prior_entropy: 3.3219, recall: 0.2802, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2647, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7028, kappa: 0.6886, kb_relative_information_score: 14983.1635, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7152, predictive_accuracy: 0.7197, prior_entropy: 3.3219, recall: 0.7197, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6617, scimark_benchmark: 1351.788, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.4703, kappa: 0.4201, kb_relative_information_score: 9084.3833, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4688, predictive_accuracy: 0.4781, prior_entropy: 3.3219, recall: 0.4781, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.0769, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.6916, kappa: 0.6695, kb_relative_information_score: 13778.7887, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6962, predictive_accuracy: 0.7026, prior_entropy: 3.3219, recall: 0.7026, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.813, scimark_benchmark: 1380.2233, usercpu_time_millis: 1610, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.7045, kappa: 0.6906, kb_relative_information_score: 14861.5411, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7166, predictive_accuracy: 0.7215, prior_entropy: 3.3219, recall: 0.7215, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6645, scimark_benchmark: 1028.5889, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.2985, kappa: 0.2231, kb_relative_information_score: 7441.9118, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3047, predictive_accuracy: 0.3008, prior_entropy: 3.3219, recall: 0.3008, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3087, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.4568, kappa: 0.3952, kb_relative_information_score: 9533.0598, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4617, predictive_accuracy: 0.4557, prior_entropy: 3.3219, recall: 0.4557, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.4629, kappa: 0.4128, kb_relative_information_score: 10539.3635, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4598, predictive_accuracy: 0.4715, prior_entropy: 3.3219, recall: 0.4715, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.4698, kappa: 0.4248, kb_relative_information_score: 10581.7116, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4686, predictive_accuracy: 0.4824, prior_entropy: 3.3219, recall: 0.4824, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.249, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.4811, kappa: 0.4381, kb_relative_information_score: 10650.9898, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.482, predictive_accuracy: 0.4943, prior_entropy: 3.3219, recall: 0.4943, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.4811, kappa: 0.4378, kb_relative_information_score: 9656.0767, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.482, predictive_accuracy: 0.494, prior_entropy: 3.3219, recall: 0.494, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3088, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.4699, kappa: 0.4259, kb_relative_information_score: 10592.2496, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4692, predictive_accuracy: 0.4833, prior_entropy: 3.3219, recall: 0.4833, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.4778, kappa: 0.4344, kb_relative_information_score: 10559.8557, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4779, predictive_accuracy: 0.491, prior_entropy: 3.3219, recall: 0.491, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.4598, kappa: 0.4116, kb_relative_information_score: 10561.6549, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4589, predictive_accuracy: 0.4704, prior_entropy: 3.3219, recall: 0.4704, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.3068, kappa: 0.2313, kb_relative_information_score: 7547.1406, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3135, predictive_accuracy: 0.3082, prior_entropy: 3.3219, recall: 0.3082, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.4571, kappa: 0.3954, kb_relative_information_score: 9530.2387, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.462, predictive_accuracy: 0.4559, prior_entropy: 3.3219, recall: 0.4559, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.4638, kappa: 0.4143, kb_relative_information_score: 10510.7707, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4606, predictive_accuracy: 0.4729, prior_entropy: 3.3219, recall: 0.4729, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.4709, kappa: 0.4258, kb_relative_information_score: 10572.1207, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.47, predictive_accuracy: 0.4833, prior_entropy: 3.3219, recall: 0.4833, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.4789, kappa: 0.4357, kb_relative_information_score: 10637.9874, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4795, predictive_accuracy: 0.4921, prior_entropy: 3.3219, recall: 0.4921, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.4794, kappa: 0.4357, kb_relative_information_score: 9631.3072, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.48, predictive_accuracy: 0.4921, prior_entropy: 3.3219, recall: 0.4921, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3088, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.4721, kappa: 0.4277, kb_relative_information_score: 10582.6244, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4717, predictive_accuracy: 0.4849, prior_entropy: 3.3219, recall: 0.4849, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.4766, kappa: 0.4332, kb_relative_information_score: 10529.8292, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4762, predictive_accuracy: 0.4899, prior_entropy: 3.3219, recall: 0.4899, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.4598, kappa: 0.4114, kb_relative_information_score: 10551.3344, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.459, predictive_accuracy: 0.4703, prior_entropy: 3.3219, recall: 0.4703, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.3104, kappa: 0.2341, kb_relative_information_score: 7609.0632, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3174, predictive_accuracy: 0.3107, prior_entropy: 3.3219, recall: 0.3107, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3066, root_relative_squared_error: 1.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.4566, kappa: 0.395, kb_relative_information_score: 9527.4461, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4616, predictive_accuracy: 0.4555, prior_entropy: 3.3219, recall: 0.4555, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.4638, kappa: 0.4141, kb_relative_information_score: 10510.9739, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4606, predictive_accuracy: 0.4727, prior_entropy: 3.3219, recall: 0.4727, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.47, kappa: 0.4248, kb_relative_information_score: 10556.6809, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4691, predictive_accuracy: 0.4824, prior_entropy: 3.3219, recall: 0.4824, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.4771, kappa: 0.4333, kb_relative_information_score: 10622.7231, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4773, predictive_accuracy: 0.49, prior_entropy: 3.3219, recall: 0.49, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.4774, kappa: 0.4334, kb_relative_information_score: 9602.371, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4779, predictive_accuracy: 0.4901, prior_entropy: 3.3219, recall: 0.4901, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3088, root_relative_squared_error: 1.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.4688, kappa: 0.4247, kb_relative_information_score: 10575.3955, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4678, predictive_accuracy: 0.4823, prior_entropy: 3.3219, recall: 0.4823, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.4744, kappa: 0.4306, kb_relative_information_score: 10499.1321, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4733, predictive_accuracy: 0.4875, prior_entropy: 3.3219, recall: 0.4875, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.4607, kappa: 0.4122, kb_relative_information_score: 10537.0421, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4598, predictive_accuracy: 0.471, prior_entropy: 3.3219, recall: 0.471, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.3141, kappa: 0.2377, kb_relative_information_score: 7678.0655, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3206, predictive_accuracy: 0.314, prior_entropy: 3.3219, recall: 0.314, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3058, root_relative_squared_error: 1.0193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.4564, kappa: 0.3948, kb_relative_information_score: 9524.5666, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4613, predictive_accuracy: 0.4553, prior_entropy: 3.3219, recall: 0.4553, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.283, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.4613, kappa: 0.4114, kb_relative_information_score: 10495.5724, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4575, predictive_accuracy: 0.4703, prior_entropy: 3.3219, recall: 0.4703, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.4694, kappa: 0.4235, kb_relative_information_score: 10545.1153, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4686, predictive_accuracy: 0.4812, prior_entropy: 3.3219, recall: 0.4812, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.4762, kappa: 0.4322, kb_relative_information_score: 10605.9729, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4764, predictive_accuracy: 0.489, prior_entropy: 3.3219, recall: 0.489, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.4757, kappa: 0.4313, kb_relative_information_score: 9586.5594, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4758, predictive_accuracy: 0.4882, prior_entropy: 3.3219, recall: 0.4882, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3087, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.4705, kappa: 0.4254, kb_relative_information_score: 10569.9651, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4701, predictive_accuracy: 0.4829, prior_entropy: 3.3219, recall: 0.4829, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.4755, kappa: 0.4312, kb_relative_information_score: 10478.9068, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.474, predictive_accuracy: 0.4881, prior_entropy: 3.3219, recall: 0.4881, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.4618, kappa: 0.4132, kb_relative_information_score: 10525.6261, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4611, predictive_accuracy: 0.4719, prior_entropy: 3.3219, recall: 0.4719, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.3162, kappa: 0.2396, kb_relative_information_score: 7713.1512, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3218, predictive_accuracy: 0.3156, prior_entropy: 3.3219, recall: 0.3156, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.4565, kappa: 0.3948, kb_relative_information_score: 9520.8183, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4614, predictive_accuracy: 0.4553, prior_entropy: 3.3219, recall: 0.4553, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.461, kappa: 0.4109, kb_relative_information_score: 10490.0221, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4573, predictive_accuracy: 0.4698, prior_entropy: 3.3219, recall: 0.4698, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.4721, kappa: 0.4261, kb_relative_information_score: 10528.6202, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4712, predictive_accuracy: 0.4835, prior_entropy: 3.3219, recall: 0.4835, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.4745, kappa: 0.4303, kb_relative_information_score: 10588.2502, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4739, predictive_accuracy: 0.4873, prior_entropy: 3.3219, recall: 0.4873, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.4744, kappa: 0.4302, kb_relative_information_score: 9586.5822, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4739, predictive_accuracy: 0.4872, prior_entropy: 3.3219, recall: 0.4872, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.4681, kappa: 0.4226, kb_relative_information_score: 10558.7115, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4668, predictive_accuracy: 0.4804, prior_entropy: 3.3219, recall: 0.4804, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.4766, kappa: 0.4322, kb_relative_information_score: 10458.8345, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4744, predictive_accuracy: 0.489, prior_entropy: 3.3219, recall: 0.489, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.4623, kappa: 0.4135, kb_relative_information_score: 10506.536, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4618, predictive_accuracy: 0.4722, prior_entropy: 3.3219, recall: 0.4722, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.3247, kappa: 0.2483, kb_relative_information_score: 7852.0597, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3295, predictive_accuracy: 0.3235, prior_entropy: 3.3219, recall: 0.3235, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.4567, kappa: 0.3951, kb_relative_information_score: 9517.7425, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4615, predictive_accuracy: 0.4556, prior_entropy: 3.3219, recall: 0.4556, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.4639, kappa: 0.4145, kb_relative_information_score: 10482.1612, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.46, predictive_accuracy: 0.4731, prior_entropy: 3.3219, recall: 0.4731, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.4721, kappa: 0.4255, kb_relative_information_score: 10512.3538, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4708, predictive_accuracy: 0.483, prior_entropy: 3.3219, recall: 0.483, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.4752, kappa: 0.4309, kb_relative_information_score: 10570.8696, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4741, predictive_accuracy: 0.4878, prior_entropy: 3.3219, recall: 0.4878, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.4745, kappa: 0.4301, kb_relative_information_score: 9587.8348, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4739, predictive_accuracy: 0.4871, prior_entropy: 3.3219, recall: 0.4871, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3079, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.4741, kappa: 0.4283, kb_relative_information_score: 10543.8537, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4734, predictive_accuracy: 0.4855, prior_entropy: 3.3219, recall: 0.4855, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.4736, kappa: 0.4287, kb_relative_information_score: 10426.6473, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4708, predictive_accuracy: 0.4859, prior_entropy: 3.3219, recall: 0.4859, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.4614, kappa: 0.4121, kb_relative_information_score: 10484.4611, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4608, predictive_accuracy: 0.4709, prior_entropy: 3.3219, recall: 0.4709, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.8377,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.4572, kappa: 0.3957, kb_relative_information_score: 9513.3218, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4621, predictive_accuracy: 0.4561, prior_entropy: 3.3219, recall: 0.4561, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.4618, kappa: 0.4118, kb_relative_information_score: 10468.6002, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4576, predictive_accuracy: 0.4706, prior_entropy: 3.3219, recall: 0.4706, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.4703, kappa: 0.4232, kb_relative_information_score: 10490.8753, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4686, predictive_accuracy: 0.4809, prior_entropy: 3.3219, recall: 0.4809, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.251, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.4748, kappa: 0.4298, kb_relative_information_score: 10549.0222, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4735, predictive_accuracy: 0.4869, prior_entropy: 3.3219, recall: 0.4869, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.4748, kappa: 0.4298, kb_relative_information_score: 9575.707, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4738, predictive_accuracy: 0.4869, prior_entropy: 3.3219, recall: 0.4869, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3075, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.4677, kappa: 0.422, kb_relative_information_score: 10522.8994, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4656, predictive_accuracy: 0.4798, prior_entropy: 3.3219, recall: 0.4798, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.4713, kappa: 0.4254, kb_relative_information_score: 10389.3537, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.468, predictive_accuracy: 0.4829, prior_entropy: 3.3219, recall: 0.4829, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.4597, kappa: 0.4096, kb_relative_information_score: 10454.1481, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4593, predictive_accuracy: 0.4687, prior_entropy: 3.3219, recall: 0.4687, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.252, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.3368, kappa: 0.2621, kb_relative_information_score: 8107.5257, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3419, predictive_accuracy: 0.3359, prior_entropy: 3.3219, recall: 0.3359, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.4571, kappa: 0.3954, kb_relative_information_score: 9509.2073, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4619, predictive_accuracy: 0.4559, prior_entropy: 3.3219, recall: 0.4559, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.4646, kappa: 0.4127, kb_relative_information_score: 10492.5118, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4612, predictive_accuracy: 0.4714, prior_entropy: 3.3219, recall: 0.4714, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.4704, kappa: 0.4231, kb_relative_information_score: 10476.9529, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4684, predictive_accuracy: 0.4808, prior_entropy: 3.3219, recall: 0.4808, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.4715, kappa: 0.4257, kb_relative_information_score: 10524.7666, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4697, predictive_accuracy: 0.4832, prior_entropy: 3.3219, recall: 0.4832, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.4718, kappa: 0.4259, kb_relative_information_score: 9545.3373, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4702, predictive_accuracy: 0.4834, prior_entropy: 3.3219, recall: 0.4834, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3075, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.4688, kappa: 0.4218, kb_relative_information_score: 10482.7646, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4677, predictive_accuracy: 0.4796, prior_entropy: 3.3219, recall: 0.4796, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.4693, kappa: 0.423, kb_relative_information_score: 10353.9037, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4657, predictive_accuracy: 0.4807, prior_entropy: 3.3219, recall: 0.4807, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.4581, kappa: 0.4074, kb_relative_information_score: 10433.2831, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4579, predictive_accuracy: 0.4667, prior_entropy: 3.3219, recall: 0.4667, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.3478, kappa: 0.2745, kb_relative_information_score: 8256.2281, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.353, predictive_accuracy: 0.3471, prior_entropy: 3.3219, recall: 0.3471, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.4572, kappa: 0.3957, kb_relative_information_score: 9506.1957, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4619, predictive_accuracy: 0.4561, prior_entropy: 3.3219, recall: 0.4561, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.284, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.4625, kappa: 0.4098, kb_relative_information_score: 10495.0818, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4594, predictive_accuracy: 0.4689, prior_entropy: 3.3219, recall: 0.4689, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8635,

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

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Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs