Task
Supervised Classification on fri_c4_500_100

Supervised Classification on fri_c4_500_100

Task 3608 Supervised Classification fri_c4_500_100 542 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: 0.6418, f_measure: 0.6357, kappa: 0.2552, kb_relative_information_score: 85.259, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6361, predictive_accuracy: 0.64, prior_entropy: 0.9875, recall: 0.64, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8564, kappa: 0.7064, kb_relative_information_score: 283.5938, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8608, predictive_accuracy: 0.858, prior_entropy: 0.9875, recall: 0.858, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6345, kappa: 0.2532, kb_relative_information_score: 85.361, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6377, predictive_accuracy: 0.642, prior_entropy: 0.9875, recall: 0.642, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8425, kappa: 0.678, kb_relative_information_score: 297.6475, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.844, prior_entropy: 0.9875, recall: 0.844, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.6357, kappa: 0.2552, kb_relative_information_score: 99.9585, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6361, predictive_accuracy: 0.64, prior_entropy: 0.9875, recall: 0.64, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.5343, kappa: 0.0519, kb_relative_information_score: 11.6425, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5362, predictive_accuracy: 0.55, prior_entropy: 0.9875, recall: 0.55, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8312, kappa: 0.6555, kb_relative_information_score: 331.2364, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9875, recall: 0.832, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.5985, kappa: 0.1805, kb_relative_information_score: 88.9443, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5976, predictive_accuracy: 0.6, prior_entropy: 0.9875, recall: 0.6, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9, kappa: 0.7965, kb_relative_information_score: 345.4948, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9875, recall: 0.9, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7187, kappa: 0.4294, kb_relative_information_score: 218.5164, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7201, predictive_accuracy: 0.718, prior_entropy: 0.9875, recall: 0.718, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6995, kappa: 0.3858, kb_relative_information_score: 120.475, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7, predictive_accuracy: 0.702, prior_entropy: 0.9875, recall: 0.702, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.7617, kappa: 0.5128, kb_relative_information_score: 95.6576, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7636, predictive_accuracy: 0.764, prior_entropy: 0.9875, recall: 0.764, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5111, kappa: 0.0036, kb_relative_information_score: 15.0739, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5106, predictive_accuracy: 0.526, prior_entropy: 0.9875, recall: 0.526, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6285, kappa: 0.2452, kb_relative_information_score: 87.1686, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6293, predictive_accuracy: 0.628, prior_entropy: 0.9875, recall: 0.628, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8629, kappa: 0.7199, kb_relative_information_score: 298.2097, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8653, predictive_accuracy: 0.864, prior_entropy: 0.9875, recall: 0.864, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8281, kappa: 0.6485, kb_relative_information_score: 165.3954, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.83, prior_entropy: 0.9875, recall: 0.83, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.4091, kb_relative_information_score: -0.0584, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.3204, predictive_accuracy: 0.566, prior_entropy: 0.9875, recall: 0.566, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4956, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7463, kappa: 0.4844, kb_relative_information_score: 173.0804, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7468, predictive_accuracy: 0.746, prior_entropy: 0.9875, recall: 0.746, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8198, kappa: 0.6328, kb_relative_information_score: 269.6512, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 0.9875, recall: 0.82, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8936, kappa: 0.783, kb_relative_information_score: 361.9936, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8942, predictive_accuracy: 0.894, prior_entropy: 0.9875, recall: 0.894, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8399, kappa: 0.674, kb_relative_information_score: 330.9892, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9875, recall: 0.84, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8399, kappa: 0.674, kb_relative_information_score: 330.9892, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9875, recall: 0.84, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6339, kappa: 0.2515, kb_relative_information_score: 99.9254, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6341, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.6183, kappa: 0.2207, kb_relative_information_score: 92.5967, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6175, predictive_accuracy: 0.62, prior_entropy: 0.9875, recall: 0.62, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5451, root_relative_squared_error: 1.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7067, kappa: 0.4004, kb_relative_information_score: 129.6549, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7083, predictive_accuracy: 0.71, prior_entropy: 0.9875, recall: 0.71, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.6876, kappa: 0.3614, kb_relative_information_score: 184.1259, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6899, predictive_accuracy: 0.692, prior_entropy: 0.9875, recall: 0.692, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.6906, kappa: 0.3683, kb_relative_information_score: 185.6915, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6903, predictive_accuracy: 0.692, prior_entropy: 0.9875, recall: 0.692, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.639, kappa: 0.2622, kb_relative_information_score: 95.9202, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6387, predictive_accuracy: 0.642, prior_entropy: 0.9875, recall: 0.642, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7857, kappa: 0.5619, kb_relative_information_score: 120.4161, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7885, predictive_accuracy: 0.788, prior_entropy: 0.9875, recall: 0.788, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6544, kappa: 0.2936, kb_relative_information_score: 149.2622, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6548, predictive_accuracy: 0.658, prior_entropy: 0.9875, recall: 0.658, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.7659, kappa: 0.5234, kb_relative_information_score: 260.0055, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7659, predictive_accuracy: 0.766, prior_entropy: 0.9875, recall: 0.766, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6339, kappa: 0.2515, kb_relative_information_score: 99.9254, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6341, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.6345, kappa: 0.2532, kb_relative_information_score: 55.7786, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6377, predictive_accuracy: 0.642, prior_entropy: 0.9875, recall: 0.642, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7091, kappa: 0.412, kb_relative_information_score: 118.3529, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7124, predictive_accuracy: 0.708, prior_entropy: 0.9875, recall: 0.708, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8079, kappa: 0.6088, kb_relative_information_score: 303.0723, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9875, recall: 0.808, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.647, kappa: 0.2787, kb_relative_information_score: 141.059, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6469, predictive_accuracy: 0.65, prior_entropy: 0.9875, recall: 0.65, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1937, scimark_benchmark: 1697.6783, usercpu_time_millis: 250, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.626, kappa: 0.2382, kb_relative_information_score: 128.7542, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.634, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.214, scimark_benchmark: 1862.8608, usercpu_time_millis: 578.125, usercpu_time_millis_testing: 296.875, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.647, kappa: 0.2787, kb_relative_information_score: 141.059, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6469, predictive_accuracy: 0.65, prior_entropy: 0.9875, recall: 0.65, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1937, scimark_benchmark: 1376.4522, usercpu_time_millis: 390, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.626, kappa: 0.2382, kb_relative_information_score: 128.7542, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.634, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.214, scimark_benchmark: 1656.9464, usercpu_time_millis: 330, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.6196, kappa: 0.2336, kb_relative_information_score: 91.2147, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6248, predictive_accuracy: 0.618, prior_entropy: 0.9875, recall: 0.618, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.0971, scimark_benchmark: 1908.2191, usercpu_time_millis: 7468.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 7453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5935, kappa: 0.1784, kb_relative_information_score: 85.0922, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5969, predictive_accuracy: 0.592, prior_entropy: 0.9875, recall: 0.592, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2479, scimark_benchmark: 1908.2191, usercpu_time_millis: 8343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 8328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.4162, kappa: 0.0024, kb_relative_information_score: 54.9254, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5377, predictive_accuracy: 0.566, prior_entropy: 0.9875, recall: 0.566, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3292, scimark_benchmark: 1827.4462, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.5839, kappa: 0.1505, kb_relative_information_score: 75.4334, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5829, predictive_accuracy: 0.586, prior_entropy: 0.9875, recall: 0.586, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.2982, scimark_benchmark: 1827.4462, usercpu_time_millis: 828.125, usercpu_time_millis_testing: 218.75, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.5848, kappa: 0.1569, kb_relative_information_score: 68.7236, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5859, predictive_accuracy: 0.584, prior_entropy: 0.9875, recall: 0.584, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.2395, scimark_benchmark: 1316.7816, usercpu_time_millis: 27570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 27530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.6033, kappa: 0.1972, kb_relative_information_score: 85.8358, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6061, predictive_accuracy: 0.602, prior_entropy: 0.9875, recall: 0.602, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6141, root_relative_squared_error: 1.239, scimark_benchmark: 1871.4229, usercpu_time_millis: 1093.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8043, kappa: 0.6002, kb_relative_information_score: 303.0723, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8129, predictive_accuracy: 0.808, prior_entropy: 0.9875, recall: 0.808, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8841, usercpu_time_millis: 1.65, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.59,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8789, kappa: 0.7526, kb_relative_information_score: 376.9011, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8821, predictive_accuracy: 0.88, prior_entropy: 0.9875, recall: 0.88, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6989, usercpu_time_millis: 263.82, usercpu_time_millis_testing: 105.75, usercpu_time_millis_training: 158.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7967, kappa: 0.5952, kb_relative_information_score: 290.7675, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8121, predictive_accuracy: 0.796, prior_entropy: 0.9875, recall: 0.796, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9113, usercpu_time_millis: 160.5, usercpu_time_millis_testing: 31.12, usercpu_time_millis_training: 129.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6339, kappa: 0.2515, kb_relative_information_score: 99.9254, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6341, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885, scimark_benchmark: 1490.0298, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6356, kappa: 0.2672, kb_relative_information_score: 100.6897, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6421, predictive_accuracy: 0.634, prior_entropy: 0.9875, recall: 0.634, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5308, root_relative_squared_error: 1.071, scimark_benchmark: 1120.7878, usercpu_time_millis: 920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.6207, kappa: 0.226, kb_relative_information_score: 112.3478, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.62, predictive_accuracy: 0.622, prior_entropy: 0.9875, recall: 0.622, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2405, scimark_benchmark: 1618.1738, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.597, kappa: 0.1762, kb_relative_information_score: 93.8906, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5978, predictive_accuracy: 0.604, prior_entropy: 0.9875, recall: 0.604, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2697, 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: 0.6538, f_measure: 0.6081, kappa: 0.1997, kb_relative_information_score: 85.4541, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6072, predictive_accuracy: 0.61, prior_entropy: 0.9875, recall: 0.61, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0542, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5085, kappa: -0.0041, kb_relative_information_score: -0.485, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5067, predictive_accuracy: 0.512, prior_entropy: 0.9875, recall: 0.512, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.697, root_relative_squared_error: 1.4064, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8558, kappa: 0.7063, kb_relative_information_score: 324.7384, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9875, recall: 0.856, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.669, scimark_benchmark: 1744.8652, usercpu_time_millis: 1109.375, usercpu_time_millis_training: 1109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.845, kappa: 0.6833, kb_relative_information_score: 300.1215, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8465, predictive_accuracy: 0.846, prior_entropy: 0.9875, recall: 0.846, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7252, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8159, kappa: 0.6251, kb_relative_information_score: 251.5667, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9875, recall: 0.816, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7854, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.768, kappa: 0.5257, kb_relative_information_score: 119.3983, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7743, predictive_accuracy: 0.772, prior_entropy: 0.9875, recall: 0.772, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8389, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.6357, kappa: 0.2552, kb_relative_information_score: 99.9585, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6361, predictive_accuracy: 0.64, prior_entropy: 0.9875, recall: 0.64, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.8278, kappa: 0.6491, kb_relative_information_score: 319.0515, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8277, predictive_accuracy: 0.828, prior_entropy: 0.9875, recall: 0.828, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8207, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6339, kappa: 0.2515, kb_relative_information_score: 99.9254, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6341, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885, scimark_benchmark: 1744.8652, 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: 0.6141, f_measure: 0.6226, kappa: 0.2297, kb_relative_information_score: 114.3986, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6218, predictive_accuracy: 0.624, prior_entropy: 0.9875, recall: 0.624, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2372, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.597, kappa: 0.1762, kb_relative_information_score: 93.8906, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5978, predictive_accuracy: 0.604, prior_entropy: 0.9875, recall: 0.604, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2697, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6336, kappa: 0.2628, kb_relative_information_score: 100.6479, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6397, predictive_accuracy: 0.632, prior_entropy: 0.9875, recall: 0.632, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5308, root_relative_squared_error: 1.071, scimark_benchmark: 1744.8652, usercpu_time_millis: 609.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.6081, kappa: 0.1997, kb_relative_information_score: 85.4541, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6072, predictive_accuracy: 0.61, prior_entropy: 0.9875, recall: 0.61, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0542, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5085, kappa: -0.0041, kb_relative_information_score: -0.485, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5067, predictive_accuracy: 0.512, prior_entropy: 0.9875, recall: 0.512, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.697, root_relative_squared_error: 1.4064, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8558, kappa: 0.7063, kb_relative_information_score: 324.7384, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9875, recall: 0.856, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.669, scimark_benchmark: 1744.8652, usercpu_time_millis: 1109.375, usercpu_time_millis_training: 1109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8562, kappa: 0.7061, kb_relative_information_score: 308.9162, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8614, predictive_accuracy: 0.858, prior_entropy: 0.9875, recall: 0.858, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7046, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8159, kappa: 0.6251, kb_relative_information_score: 251.5667, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9875, recall: 0.816, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7854, scimark_benchmark: 1744.8652, 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: 0.8627, f_measure: 0.769, kappa: 0.5278, kb_relative_information_score: 119.0362, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7726, predictive_accuracy: 0.772, prior_entropy: 0.9875, recall: 0.772, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8401, scimark_benchmark: 1744.8652, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.6357, kappa: 0.2552, kb_relative_information_score: 99.9585, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6361, predictive_accuracy: 0.64, prior_entropy: 0.9875, recall: 0.64, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.8278, kappa: 0.6491, kb_relative_information_score: 319.0515, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8277, predictive_accuracy: 0.828, prior_entropy: 0.9875, recall: 0.828, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8207, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.6081, kappa: 0.1997, kb_relative_information_score: 85.4541, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6072, predictive_accuracy: 0.61, prior_entropy: 0.9875, recall: 0.61, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0542, scimark_benchmark: 1327.5254, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8558, kappa: 0.7063, kb_relative_information_score: 324.7384, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9875, recall: 0.856, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.669, scimark_benchmark: 1788.6668, usercpu_time_millis: 1453.125, usercpu_time_millis_training: 1453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.6196, kappa: 0.2328, kb_relative_information_score: 93.4176, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6242, predictive_accuracy: 0.618, prior_entropy: 0.9875, recall: 0.618, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.0918, scimark_benchmark: 1788.6668, usercpu_time_millis: 562.5, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8833, kappa: 0.7616, kb_relative_information_score: 353.4599, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8849, predictive_accuracy: 0.884, prior_entropy: 0.9875, recall: 0.884, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5788, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8689, kappa: 0.7321, kb_relative_information_score: 323.2786, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8716, predictive_accuracy: 0.87, prior_entropy: 0.9875, recall: 0.87, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6792, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.6814, kappa: 0.361, kb_relative_information_score: 109.8892, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6898, predictive_accuracy: 0.68, prior_entropy: 0.9875, recall: 0.68, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9238, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.6541, kappa: 0.2929, kb_relative_information_score: 98.0172, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6547, predictive_accuracy: 0.658, prior_entropy: 0.9875, recall: 0.658, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9133, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.66, kappa: 0.3049, kb_relative_information_score: 155.4146, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6608, predictive_accuracy: 0.664, prior_entropy: 0.9875, recall: 0.664, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1695, 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: 0.6141, f_measure: 0.6226, kappa: 0.2297, kb_relative_information_score: 114.3986, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6218, predictive_accuracy: 0.624, prior_entropy: 0.9875, recall: 0.624, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2372, scimark_benchmark: 1195.4145, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8425, kappa: 0.678, kb_relative_information_score: 297.6475, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.844, prior_entropy: 0.9875, recall: 0.844, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7313, scimark_benchmark: 1297.3395, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8803, kappa: 0.7573, kb_relative_information_score: 332.0869, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8816, predictive_accuracy: 0.88, prior_entropy: 0.9875, recall: 0.88, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5827, scimark_benchmark: 1860.4354, 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: 0.9307, f_measure: 0.8785, kappa: 0.7565, kb_relative_information_score: 372.2155, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8887, predictive_accuracy: 0.878, prior_entropy: 0.9875, recall: 0.878, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5947, 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: 0.5026, f_measure: 0.4656, kappa: 0.0067, kb_relative_information_score: -0.8733, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5129, predictive_accuracy: 0.48, prior_entropy: 0.9875, recall: 0.48, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5987, root_relative_squared_error: 1.2081, scimark_benchmark: 1840.6094, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.527, f_measure: 0.521, kappa: 0.0217, kb_relative_information_score: 9.7895, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5194, predictive_accuracy: 0.524, prior_entropy: 0.9875, recall: 0.524, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0337, scimark_benchmark: 1873.1108, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8836, kappa: 0.7626, kb_relative_information_score: 354.4979, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9875, recall: 0.884, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5678, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.5343, kappa: 0.0519, kb_relative_information_score: 9.3545, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5362, predictive_accuracy: 0.55, prior_entropy: 0.9875, recall: 0.55, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0832, scimark_benchmark: 1873.1108, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.825, kappa: 0.6426, kb_relative_information_score: 321.5295, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9875, recall: 0.826, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8813, kappa: 0.7576, kb_relative_information_score: 378.9519, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8827, predictive_accuracy: 0.882, prior_entropy: 0.9875, recall: 0.882, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.8132, kappa: 0.6187, kb_relative_information_score: 309.2247, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8136, predictive_accuracy: 0.814, prior_entropy: 0.9875, recall: 0.814, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.811, kappa: 0.614, kb_relative_information_score: 307.1739, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9875, recall: 0.812, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6533, kappa: 0.2914, kb_relative_information_score: 147.2114, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6531, predictive_accuracy: 0.656, prior_entropy: 0.9875, recall: 0.656, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1834, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8615, kappa: 0.7174, kb_relative_information_score: 358.4439, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8619, predictive_accuracy: 0.862, prior_entropy: 0.9875, recall: 0.862, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.597, kappa: 0.1762, kb_relative_information_score: 93.8906, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5978, predictive_accuracy: 0.604, prior_entropy: 0.9875, recall: 0.604, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2697, scimark_benchmark: 1779.392, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.6367, kappa: 0.2588, kb_relative_information_score: 128.7542, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6361, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.87, kappa: 0.7352, kb_relative_information_score: 318.2954, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9875, recall: 0.87, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6817, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.818, kappa: 0.6293, kb_relative_information_score: 253.126, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 0.9875, recall: 0.818, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7827, scimark_benchmark: 1779.392,

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