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Mythbusting data mining urban legends through large scale experimentation

Mythbusting data mining urban legends through large scale experimentation

Created 24-07-2016 by Martijn Post Visibility: public
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.6057, kappa: 0.1641, kb_relative_information_score: 1846.3809, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.466, number_of_instances: 7019, precision: 0.6656, predictive_accuracy: 0.6668, prior_entropy: 0.9504, recall: 0.6668, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5773, root_relative_squared_error: 1.1959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8292, kappa: 0.6589, kb_relative_information_score: 2271.2658, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8311, predictive_accuracy: 0.8293, prior_entropy: 0.9998, recall: 0.8293, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.48, kappa: 0.0017, kb_relative_information_score: 2.9993, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.501, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7066, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8449, kappa: 0.6898, kb_relative_information_score: 2385.4258, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8453, predictive_accuracy: 0.8449, prior_entropy: 0.9998, recall: 0.8449, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.5919, kappa: 0.0954, kb_relative_information_score: 4240.9522, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7904, predictive_accuracy: 0.6953, prior_entropy: 0.9135, recall: 0.6953, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6473, kappa: 0.0001, kb_relative_information_score: 1104.2053, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.6273, predictive_accuracy: 0.747, prior_entropy: 0.8085, recall: 0.747, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.503, root_relative_squared_error: 1.1644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.8281, kappa: 0.5105, kb_relative_information_score: 18303.215, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8274, predictive_accuracy: 0.8365, prior_entropy: 0.7951, recall: 0.8365, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.8265, kappa: 0.5051, kb_relative_information_score: 18201.3298, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8262, predictive_accuracy: 0.8356, prior_entropy: 0.7951, recall: 0.8356, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8639, kappa: 0.7288, kb_relative_information_score: 71812, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8702, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5076, kappa: 0.0088, kb_relative_information_score: 2.5791, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.507, predictive_accuracy: 0.5103, prior_entropy: 0.9963, recall: 0.5103, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6998, root_relative_squared_error: 1.4032, scimark_benchmark: 1961.0876, usercpu_time_millis: 15562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6902, kappa: 0.3816, kb_relative_information_score: 3129.5543, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6925, predictive_accuracy: 0.691, prior_entropy: 1, recall: 0.691, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1117, scimark_benchmark: 1961.0876, usercpu_time_millis: 5721578.125, usercpu_time_millis_testing: 4312.5, usercpu_time_millis_training: 5717265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.5466, kappa: 0.0121, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5878, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1922.3298, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.9151, kappa: 0.6169, kb_relative_information_score: 799.9979, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9145, predictive_accuracy: 0.9159, prior_entropy: 0.5537, recall: 0.9159, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8678, scimark_benchmark: 1922.3298, usercpu_time_millis: 88406.25, usercpu_time_millis_testing: 42718.75, usercpu_time_millis_training: 45687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8606, kappa: 0.7062, kb_relative_information_score: 224.6739, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4738, number_of_instances: 322, precision: 0.861, predictive_accuracy: 0.8602, prior_entropy: 0.962, recall: 0.8602, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4866, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7682, scimark_benchmark: 1922.3298, usercpu_time_millis: 16218.75, usercpu_time_millis_testing: 7546.875, usercpu_time_millis_training: 8671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9652, kappa: 0.929, kb_relative_information_score: 560.7551, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3766, scimark_benchmark: 1922.3298, usercpu_time_millis: 17359.375, usercpu_time_millis_testing: 8859.375, usercpu_time_millis_training: 8500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7695, kappa: 0.425, kb_relative_information_score: 104.9522, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4039, number_of_instances: 275, precision: 0.7683, predictive_accuracy: 0.7709, prior_entropy: 0.8576, recall: 0.7709, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.449, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.066, scimark_benchmark: 1922.3298, usercpu_time_millis: 19125, usercpu_time_millis_testing: 7437.5, usercpu_time_millis_training: 11687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9413, kappa: 0.8667, kb_relative_information_score: 160.3234, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4402, number_of_instances: 187, precision: 0.9415, predictive_accuracy: 0.9412, prior_entropy: 0.9129, recall: 0.9412, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4688, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.5173, scimark_benchmark: 1922.3298, usercpu_time_millis: 6843.75, usercpu_time_millis_testing: 3375, usercpu_time_millis_training: 3468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9237, kappa: 0.8425, kb_relative_information_score: 406.2765, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4835, number_of_instances: 484, precision: 0.924, predictive_accuracy: 0.9236, prior_entropy: 0.9762, recall: 0.9236, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4917, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.5624, scimark_benchmark: 1922.3298, usercpu_time_millis: 21156.25, usercpu_time_millis_testing: 8984.375, usercpu_time_millis_training: 12171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9736, kappa: 0.9259, kb_relative_information_score: 306.912, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.3534, number_of_instances: 337, precision: 0.9744, predictive_accuracy: 0.9733, prior_entropy: 0.7782, recall: 0.9733, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4199, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3892, scimark_benchmark: 1922.3298, usercpu_time_millis: 8671.875, usercpu_time_millis_testing: 4406.25, usercpu_time_millis_training: 4265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9939, kappa: 0.9817, kb_relative_information_score: 320.5841, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3325, number_of_instances: 329, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.7443, recall: 0.9939, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4071, root_mean_squared_error: 0.078, root_relative_squared_error: 0.1915, scimark_benchmark: 1922.3298, usercpu_time_millis: 9390.625, usercpu_time_millis_testing: 4406.25, usercpu_time_millis_training: 4984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.9261, kappa: 0.7806, kb_relative_information_score: 268.7406, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3352, number_of_instances: 363, precision: 0.9268, predictive_accuracy: 0.9256, prior_entropy: 0.7485, recall: 0.9256, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4088, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.6671, scimark_benchmark: 1922.3298, usercpu_time_millis: 15031.25, usercpu_time_millis_testing: 6015.625, usercpu_time_millis_training: 9015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.9532, kappa: 0.3626, kb_relative_information_score: 171.7344, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9518, predictive_accuracy: 0.9547, prior_entropy: 0.2426, recall: 0.9547, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2129, root_relative_squared_error: 1.093, scimark_benchmark: 1922.3298, usercpu_time_millis: 72000, usercpu_time_millis_testing: 32859.375, usercpu_time_millis_training: 39140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 1922.3298, usercpu_time_millis: 3734.375, usercpu_time_millis_testing: 1781.25, usercpu_time_millis_training: 1953.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206, scimark_benchmark: 1922.3298, usercpu_time_millis: 15296.875, usercpu_time_millis_testing: 7656.25, usercpu_time_millis_training: 7640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.944, kappa: 0.888, kb_relative_information_score: 221.9973, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9445, predictive_accuracy: 0.944, prior_entropy: 1, recall: 0.944, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4733, scimark_benchmark: 1922.3298, usercpu_time_millis: 10546.875, usercpu_time_millis_testing: 4390.625, usercpu_time_millis_training: 6156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.975, kappa: 0.9212, kb_relative_information_score: 319.6707, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9759, predictive_accuracy: 0.9746, prior_entropy: 0.714, recall: 0.9746, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4024, scimark_benchmark: 1922.3298, usercpu_time_millis: 9968.75, usercpu_time_millis_testing: 4875, usercpu_time_millis_training: 5093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9166, kappa: 0.8235, kb_relative_information_score: 165.8428, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4712, number_of_instances: 203, precision: 0.9173, predictive_accuracy: 0.9163, prior_entropy: 0.9584, recall: 0.9163, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4852, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.5964, scimark_benchmark: 1922.3298, usercpu_time_millis: 5843.75, usercpu_time_millis_testing: 3000, usercpu_time_millis_training: 2843.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.974, kappa: 0.9407, kb_relative_information_score: 359.469, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4376, number_of_instances: 384, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.9085, recall: 0.974, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3451, scimark_benchmark: 1922.3298, usercpu_time_millis: 12046.875, usercpu_time_millis_testing: 5640.625, usercpu_time_millis_training: 6406.25,
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