Task
Supervised Classification on fri_c3_500_50

Supervised Classification on fri_c3_500_50

Task 3800 Supervised Classification fri_c3_500_50 582 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.6434, kappa: 0.2807, kb_relative_information_score: 82.0607, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6474, predictive_accuracy: 0.642, prior_entropy: 0.9882, recall: 0.642, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6141, kappa: 0.2122, kb_relative_information_score: 68.2156, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6139, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8537, kappa: 0.7013, kb_relative_information_score: 271.3183, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8619, predictive_accuracy: 0.856, prior_entropy: 0.9882, recall: 0.856, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6354, kappa: 0.2646, kb_relative_information_score: 72.1957, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6395, predictive_accuracy: 0.634, prior_entropy: 0.9882, recall: 0.634, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8329, kappa: 0.6591, kb_relative_information_score: 285.5261, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8343, predictive_accuracy: 0.834, prior_entropy: 0.9882, recall: 0.834, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, f_measure: 0.5559, kappa: 0.0937, kb_relative_information_score: 26.5183, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5557, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8254, kappa: 0.6442, kb_relative_information_score: 325.1219, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8256, predictive_accuracy: 0.826, prior_entropy: 0.9882, recall: 0.826, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6488, kappa: 0.2842, kb_relative_information_score: 108.3422, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6483, predictive_accuracy: 0.65, prior_entropy: 0.9882, recall: 0.65, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8939, kappa: 0.7841, kb_relative_information_score: 327.3034, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9882, recall: 0.894, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.757, kappa: 0.5046, kb_relative_information_score: 237.8457, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9882, recall: 0.758, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.6699, kappa: 0.3287, kb_relative_information_score: 87.9348, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6698, predictive_accuracy: 0.67, prior_entropy: 0.9882, recall: 0.67, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.5308, kappa: 0.0422, kb_relative_information_score: 27.4947, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5294, predictive_accuracy: 0.538, prior_entropy: 0.9882, recall: 0.538, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.4737, kappa: -0.0309, kb_relative_information_score: 8.2169, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.4866, predictive_accuracy: 0.526, prior_entropy: 0.9882, recall: 0.526, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.6124, kappa: 0.2127, kb_relative_information_score: 87.5217, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6128, predictive_accuracy: 0.612, prior_entropy: 0.9882, recall: 0.612, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8761, kappa: 0.7481, kb_relative_information_score: 295.0728, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9882, recall: 0.876, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8312, kappa: 0.6559, kb_relative_information_score: 173.4917, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9882, recall: 0.832, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.4068, kb_relative_information_score: -0.0446, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8977, kappa: 0.7914, kb_relative_information_score: 352.2519, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8982, predictive_accuracy: 0.898, prior_entropy: 0.9882, recall: 0.898, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7488, kappa: 0.4877, kb_relative_information_score: 182.5327, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9882, recall: 0.75, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8097, kappa: 0.6127, kb_relative_information_score: 286.1456, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8096, predictive_accuracy: 0.81, prior_entropy: 0.9882, recall: 0.81, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8019, kappa: 0.5972, kb_relative_information_score: 296.7382, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8019, predictive_accuracy: 0.802, prior_entropy: 0.9882, recall: 0.802, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8019, kappa: 0.5972, kb_relative_information_score: 296.7382, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8019, predictive_accuracy: 0.802, prior_entropy: 0.9882, recall: 0.802, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6474, kappa: 0.2938, kb_relative_information_score: 84.62, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6559, predictive_accuracy: 0.646, prior_entropy: 0.9882, recall: 0.646, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6226, kappa: 0.2307, kb_relative_information_score: 78.8875, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6219, predictive_accuracy: 0.624, prior_entropy: 0.9882, recall: 0.624, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6563, kappa: 0.2991, kb_relative_information_score: 149.7929, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6559, predictive_accuracy: 0.658, prior_entropy: 0.9882, recall: 0.658, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4068, kb_relative_information_score: 53.5502, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8383, kappa: 0.6699, kb_relative_information_score: 144.5887, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8421, predictive_accuracy: 0.84, prior_entropy: 0.9882, recall: 0.84, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.661, kappa: 0.3255, kb_relative_information_score: 88.1152, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6743, predictive_accuracy: 0.66, prior_entropy: 0.9882, recall: 0.66, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7451, kappa: 0.4806, kb_relative_information_score: 211.2297, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.745, predictive_accuracy: 0.746, prior_entropy: 0.9882, recall: 0.746, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6375, kappa: 0.272, kb_relative_information_score: 78.2107, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6442, predictive_accuracy: 0.636, prior_entropy: 0.9882, recall: 0.636, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6575, kappa: 0.3028, kb_relative_information_score: 149.7929, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6572, predictive_accuracy: 0.658, prior_entropy: 0.9882, recall: 0.658, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6474, kappa: 0.2938, kb_relative_information_score: 84.62, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6559, predictive_accuracy: 0.646, prior_entropy: 0.9882, recall: 0.646, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6101, kappa: 0.204, kb_relative_information_score: 48.6874, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6098, predictive_accuracy: 0.614, prior_entropy: 0.9882, recall: 0.614, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7191, kappa: 0.4334, kb_relative_information_score: 115.7021, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7232, predictive_accuracy: 0.718, prior_entropy: 0.9882, recall: 0.718, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.8218, kappa: 0.6371, kb_relative_information_score: 317.7056, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9882, recall: 0.822, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.4969, kappa: 0.0423, kb_relative_information_score: 55.5979, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5456, predictive_accuracy: 0.566, prior_entropy: 0.9882, recall: 0.566, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3285, scimark_benchmark: 1280.301, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.6031, kappa: 0.1914, kb_relative_information_score: 94.5045, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6024, predictive_accuracy: 0.604, prior_entropy: 0.9882, recall: 0.604, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.269, scimark_benchmark: 1280.301, usercpu_time_millis: 359.375, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.6127, kappa: 0.2093, kb_relative_information_score: 106.7908, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6122, predictive_accuracy: 0.616, prior_entropy: 0.9882, recall: 0.616, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2496, scimark_benchmark: 1461.2356, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 203.125, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.6135, kappa: 0.2131, kb_relative_information_score: 104.7431, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.613, predictive_accuracy: 0.614, prior_entropy: 0.9882, recall: 0.614, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2529, scimark_benchmark: 1461.2356, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.5817, kappa: 0.1787, kb_relative_information_score: 57.5764, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6026, predictive_accuracy: 0.582, prior_entropy: 0.9882, recall: 0.582, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0738, scimark_benchmark: 1787.9841, usercpu_time_millis: 3812.5, usercpu_time_millis_training: 3812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.5817, kappa: 0.1787, kb_relative_information_score: 57.5764, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6026, predictive_accuracy: 0.582, prior_entropy: 0.9882, recall: 0.582, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0738, scimark_benchmark: 1358.7148, usercpu_time_millis: 4330, usercpu_time_millis_training: 4330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.6135, kappa: 0.2131, kb_relative_information_score: 104.7431, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.613, predictive_accuracy: 0.614, prior_entropy: 0.9882, recall: 0.614, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2529, scimark_benchmark: 1381.6651, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.6127, kappa: 0.2093, kb_relative_information_score: 106.7908, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6122, predictive_accuracy: 0.616, prior_entropy: 0.9882, recall: 0.616, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2496, scimark_benchmark: 1389.9386, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.4969, kappa: 0.0423, kb_relative_information_score: 55.5979, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5456, predictive_accuracy: 0.566, prior_entropy: 0.9882, recall: 0.566, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3285, scimark_benchmark: 1382.8412, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.5937, kappa: 0.1732, kb_relative_information_score: 88.1729, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5934, predictive_accuracy: 0.594, prior_entropy: 0.9882, recall: 0.594, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.2288, scimark_benchmark: 1060.9535, usercpu_time_millis: 562.5, usercpu_time_millis_training: 562.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.588, kappa: 0.1893, kb_relative_information_score: 63.2504, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6076, predictive_accuracy: 0.588, prior_entropy: 0.9882, recall: 0.588, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0723, scimark_benchmark: 1282.0486, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6247, kappa: 0.2352, kb_relative_information_score: 90.7127, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6241, predictive_accuracy: 0.626, prior_entropy: 0.9882, recall: 0.626, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9742, scimark_benchmark: 1430.25, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8693, kappa: 0.7333, kb_relative_information_score: 333.7505, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8706, predictive_accuracy: 0.87, prior_entropy: 0.9882, recall: 0.87, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6215, scimark_benchmark: 924.0861, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8316, kappa: 0.657, kb_relative_information_score: 290.8383, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 0.9882, recall: 0.832, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7668, scimark_benchmark: 513.6875, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.6172, kappa: 0.2204, kb_relative_information_score: 108.8386, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6167, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2464, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6049, kappa: 0.1969, kb_relative_information_score: 108.8386, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6124, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2464, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8233, kappa: 0.6399, kb_relative_information_score: 272.1114, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8237, predictive_accuracy: 0.824, prior_entropy: 0.9882, recall: 0.824, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7754, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8533, kappa: 0.7008, kb_relative_information_score: 153.1851, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8542, predictive_accuracy: 0.854, prior_entropy: 0.9882, recall: 0.854, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7864, scimark_benchmark: 1925.3565, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.6434, kappa: 0.2807, kb_relative_information_score: 82.0607, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6474, predictive_accuracy: 0.642, prior_entropy: 0.9882, recall: 0.642, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0194, scimark_benchmark: 1925.3565, 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: 0.8214, f_measure: 0.81, kappa: 0.6135, kb_relative_information_score: 304.3289, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9882, recall: 0.81, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8444, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6474, kappa: 0.2938, kb_relative_information_score: 84.62, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6559, predictive_accuracy: 0.646, prior_entropy: 0.9882, recall: 0.646, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9986, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.6175, kappa: 0.2212, kb_relative_information_score: 108.8386, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.617, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2464, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6049, kappa: 0.1969, kb_relative_information_score: 108.8386, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6124, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2464, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.5863, kappa: 0.1841, kb_relative_information_score: 61.6313, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6043, predictive_accuracy: 0.586, prior_entropy: 0.9882, recall: 0.586, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.0747, scimark_benchmark: 1925.3565, usercpu_time_millis: 343.75, usercpu_time_millis_training: 343.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8385, kappa: 0.6702, kb_relative_information_score: 150.8925, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8416, predictive_accuracy: 0.84, prior_entropy: 0.9882, recall: 0.84, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7907, scimark_benchmark: 1892.0925, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.5838, kappa: 0.1822, kb_relative_information_score: 59.5453, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6043, predictive_accuracy: 0.584, prior_entropy: 0.9882, recall: 0.584, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.0726, scimark_benchmark: 1834.908, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8693, kappa: 0.7333, kb_relative_information_score: 333.7505, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8706, predictive_accuracy: 0.87, prior_entropy: 0.9882, recall: 0.87, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6215, scimark_benchmark: 1834.908, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8495, kappa: 0.6932, kb_relative_information_score: 302.5155, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9882, recall: 0.85, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7239, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6301, kappa: 0.2455, kb_relative_information_score: 79.1288, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6337, predictive_accuracy: 0.638, prior_entropy: 0.9882, recall: 0.638, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9463, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6461, kappa: 0.2774, kb_relative_information_score: 78.4658, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6466, predictive_accuracy: 0.65, prior_entropy: 0.9882, recall: 0.65, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9327, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6575, kappa: 0.3028, kb_relative_information_score: 149.7929, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6572, predictive_accuracy: 0.658, prior_entropy: 0.9882, recall: 0.658, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1793, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6212, kappa: 0.2286, kb_relative_information_score: 112.934, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.622, prior_entropy: 0.9882, recall: 0.622, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2398, scimark_benchmark: 972.1053, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8329, kappa: 0.6591, kb_relative_information_score: 285.5261, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8343, predictive_accuracy: 0.834, prior_entropy: 0.9882, recall: 0.834, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.755, scimark_benchmark: 924.4613, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8862, kappa: 0.7693, kb_relative_information_score: 325.0324, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.887, predictive_accuracy: 0.886, prior_entropy: 0.9882, recall: 0.886, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5832, scimark_benchmark: 1447.2612, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8765, kappa: 0.7523, kb_relative_information_score: 366.3232, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8851, predictive_accuracy: 0.876, prior_entropy: 0.9882, recall: 0.876, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5945, scimark_benchmark: 1840.6094, 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: 0.5174, f_measure: 0.5052, kappa: 0.0487, kb_relative_information_score: 11.3793, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5356, predictive_accuracy: 0.51, prior_entropy: 0.9882, recall: 0.51, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6041, root_relative_squared_error: 1.2182, scimark_benchmark: 1840.6094, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.5627, kappa: 0.1088, kb_relative_information_score: 40.9481, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5618, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9862, scimark_benchmark: 1873.1108, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8977, kappa: 0.7914, kb_relative_information_score: 352.2519, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8982, predictive_accuracy: 0.898, prior_entropy: 0.9882, recall: 0.898, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5666, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.5559, kappa: 0.0937, kb_relative_information_score: 35.9623, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5557, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0368, scimark_benchmark: 1873.1108, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.6205, kappa: 0.2297, kb_relative_information_score: 110.8863, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6213, predictive_accuracy: 0.62, prior_entropy: 0.9882, recall: 0.62, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6611, kappa: 0.3095, kb_relative_information_score: 153.8883, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6606, predictive_accuracy: 0.662, prior_entropy: 0.9882, recall: 0.662, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5814, root_relative_squared_error: 1.1724, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6049, kappa: 0.1969, kb_relative_information_score: 108.8386, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6124, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2464, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8457, kappa: 0.6857, kb_relative_information_score: 299.1259, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 0.9882, recall: 0.846, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7358, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8213, kappa: 0.6356, kb_relative_information_score: 270.708, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9882, recall: 0.822, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.78, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6741, kappa: 0.3375, kb_relative_information_score: 87.8835, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6742, predictive_accuracy: 0.674, prior_entropy: 0.9882, recall: 0.674, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9273, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.6434, kappa: 0.2807, kb_relative_information_score: 82.0607, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6474, predictive_accuracy: 0.642, prior_entropy: 0.9882, recall: 0.642, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0194, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6076, kappa: 0.2013, kb_relative_information_score: 98.6, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6072, predictive_accuracy: 0.608, prior_entropy: 0.9882, recall: 0.608, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2626,

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

OpenML bootcamp

From your own software

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

OpenML APIs