Task
Supervised Classification on stock

Supervised Classification on stock

Task 3706 Supervised Classification stock 567 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: 0.8324, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.9758, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9495, kappa: 0.8988, kb_relative_information_score: 835.0844, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.9995, recall: 0.9495, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8597, kappa: 0.7193, kb_relative_information_score: 629.0274, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8615, predictive_accuracy: 0.86, prior_entropy: 0.9995, recall: 0.86, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9642, kappa: 0.9284, kb_relative_information_score: 842.1687, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9995, recall: 0.9642, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.3769, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9589, kappa: 0.9178, kb_relative_information_score: 860.979, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.959, predictive_accuracy: 0.9589, prior_entropy: 0.9995, recall: 0.9589, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9611, kappa: 0.922, kb_relative_information_score: 877.4104, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9995, recall: 0.9611, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8596, kappa: 0.7191, kb_relative_information_score: 628.2779, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8624, predictive_accuracy: 0.86, prior_entropy: 0.9995, recall: 0.86, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8653, kappa: 0.7307, kb_relative_information_score: 536.3165, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8666, predictive_accuracy: 0.8653, prior_entropy: 0.9995, recall: 0.8653, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 873.6563, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9995, recall: 0.9684, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7102, kappa: 0.4223, kb_relative_information_score: 333.2827, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7136, predictive_accuracy: 0.7105, prior_entropy: 0.9995, recall: 0.7105, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9589, kappa: 0.9178, kb_relative_information_score: 851.1086, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.959, predictive_accuracy: 0.9589, prior_entropy: 0.9995, recall: 0.9589, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7029, kappa: 0.4073, kb_relative_information_score: 394.3477, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7055, predictive_accuracy: 0.7032, prior_entropy: 0.9995, recall: 0.7032, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8487, kappa: 0.6978, kb_relative_information_score: 652.7262, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8538, predictive_accuracy: 0.8495, prior_entropy: 0.9995, recall: 0.8495, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9611, kappa: 0.9221, kb_relative_information_score: 847.8464, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9995, recall: 0.9611, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9526, kappa: 0.9052, kb_relative_information_score: 790.6702, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9527, predictive_accuracy: 0.9526, prior_entropy: 0.9995, recall: 0.9526, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.3486, kb_relative_information_score: -0.0116, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.961, kappa: 0.922, kb_relative_information_score: 854.0394, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9995, recall: 0.9611, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9653, kappa: 0.9305, kb_relative_information_score: 856.2841, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9995, recall: 0.9653, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8379, kappa: 0.6757, kb_relative_information_score: 640.2533, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8381, predictive_accuracy: 0.8379, prior_entropy: 0.9995, recall: 0.8379, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9084, kappa: 0.8171, kb_relative_information_score: 749.8007, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9117, predictive_accuracy: 0.9084, prior_entropy: 0.9995, recall: 0.9084, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 853.6078, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9995, recall: 0.9695, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9558, kappa: 0.9115, kb_relative_information_score: 852.3597, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9558, predictive_accuracy: 0.9558, prior_entropy: 0.9995, recall: 0.9558, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.6113, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8709, kappa: 0.7421, kb_relative_information_score: 635.3555, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8768, predictive_accuracy: 0.8716, prior_entropy: 0.9995, recall: 0.8716, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.1159, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7122, kappa: 0.4265, kb_relative_information_score: 403.4098, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7159, predictive_accuracy: 0.7126, prior_entropy: 0.9995, recall: 0.7126, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9558, kappa: 0.9115, kb_relative_information_score: 852.3597, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9558, predictive_accuracy: 0.9558, prior_entropy: 0.9995, recall: 0.9558, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8557, kappa: 0.7122, kb_relative_information_score: 677.7049, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8652, predictive_accuracy: 0.8568, prior_entropy: 0.9995, recall: 0.8568, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8208, kappa: 0.6414, kb_relative_information_score: 609.6317, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8215, predictive_accuracy: 0.8211, prior_entropy: 0.9995, recall: 0.8211, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.7886, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.1159, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 867.3602, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9995, recall: 0.9684, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 846.036, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9995, recall: 0.9695, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9474, kappa: 0.8946, kb_relative_information_score: 849.8902, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9995, recall: 0.9474, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 891.9354, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9995, recall: 0.9695, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.94, kappa: 0.8799, kb_relative_information_score: 835.8751, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9995, recall: 0.94, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9305, kappa: 0.861, kb_relative_information_score: 817.8557, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 0.9995, recall: 0.9305, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.961, kappa: 0.922, kb_relative_information_score: 845.6141, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9995, recall: 0.9611, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9305, kappa: 0.861, kb_relative_information_score: 775.7697, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 0.9995, recall: 0.9305, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9558, kappa: 0.9116, kb_relative_information_score: 865.9074, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 0.9995, recall: 0.9558, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.959, kappa: 0.9179, kb_relative_information_score: 871.9138, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9591, predictive_accuracy: 0.9589, prior_entropy: 0.9995, recall: 0.9589, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.94, kappa: 0.8799, kb_relative_information_score: 835.8751, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9995, recall: 0.94, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9674, kappa: 0.9347, kb_relative_information_score: 887.9311, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 0.9995, recall: 0.9674, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 889.9332, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9995, recall: 0.9684, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, scimark_benchmark: 1959.6455, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3486, kb_relative_information_score: 25.0028, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6974, root_relative_squared_error: 1.3953, scimark_benchmark: 1959.6455, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9126, kappa: 0.8252, kb_relative_information_score: 783.8191, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9128, predictive_accuracy: 0.9126, prior_entropy: 0.9995, recall: 0.9126, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5914, scimark_benchmark: 1631.1992, usercpu_time_millis: 6265.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 6250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8682, kappa: 0.7362, kb_relative_information_score: 597.6411, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8698, predictive_accuracy: 0.8684, prior_entropy: 0.9995, recall: 0.8684, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6528, scimark_benchmark: 1619.9979, usercpu_time_millis: 3120, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3486, kb_relative_information_score: 25.0028, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6974, root_relative_squared_error: 1.3953, scimark_benchmark: 1317.1822, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 889.9332, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9995, recall: 0.9684, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, scimark_benchmark: 1656.0356, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9126, kappa: 0.8252, kb_relative_information_score: 783.8191, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9128, predictive_accuracy: 0.9126, prior_entropy: 0.9995, recall: 0.9126, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5914, scimark_benchmark: 1702.7029, usercpu_time_millis: 6610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8663, kappa: 0.7324, kb_relative_information_score: 624.6458, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8663, predictive_accuracy: 0.8663, prior_entropy: 0.9995, recall: 0.8663, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6391, scimark_benchmark: 1908.2191, usercpu_time_millis: 2546.875, usercpu_time_millis_training: 2546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8724, kappa: 0.7447, kb_relative_information_score: 707.7372, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8736, predictive_accuracy: 0.8726, prior_entropy: 0.9995, recall: 0.8726, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.714, scimark_benchmark: 1827.4462, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9516, kappa: 0.9031, kb_relative_information_score: 843.0518, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9516, predictive_accuracy: 0.9516, prior_entropy: 0.9995, recall: 0.9516, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.3906, scimark_benchmark: 1339.7394, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8663, kappa: 0.7324, kb_relative_information_score: 624.3798, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8663, predictive_accuracy: 0.8663, prior_entropy: 0.9995, recall: 0.8663, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.639, scimark_benchmark: 1760.5198, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.1159, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9852, scimark_benchmark: 1487.5183, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8692, kappa: 0.7383, kb_relative_information_score: 600.7106, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8707, predictive_accuracy: 0.8695, prior_entropy: 0.9995, recall: 0.8695, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6424, scimark_benchmark: 1120.3128, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8504, kappa: 0.7005, kb_relative_information_score: 583.5269, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.851, predictive_accuracy: 0.8505, prior_entropy: 0.9995, recall: 0.8505, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6435, scimark_benchmark: 1372.3866, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9642, kappa: 0.9284, kb_relative_information_score: 880.438, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9995, recall: 0.9642, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3781, scimark_benchmark: 1312.0409, usercpu_time_millis: 210, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9579, kappa: 0.9157, kb_relative_information_score: 843.8137, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.9995, recall: 0.9579, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.361, scimark_benchmark: 1140.1438, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8557, kappa: 0.7122, kb_relative_information_score: 677.7049, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8652, predictive_accuracy: 0.8568, prior_entropy: 0.9995, recall: 0.8568, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.757, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.865, kappa: 0.7299, kb_relative_information_score: 693.7222, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8663, predictive_accuracy: 0.8653, prior_entropy: 0.9995, recall: 0.8653, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7344, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9505, kappa: 0.901, kb_relative_information_score: 836.0923, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9505, predictive_accuracy: 0.9505, prior_entropy: 0.9995, recall: 0.9505, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4346, 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: 0.9779, f_measure: 0.9495, kappa: 0.8989, kb_relative_information_score: 821.4476, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.9995, recall: 0.9495, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4211, 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: 0.9968, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 849.9389, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9995, recall: 0.9695, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3034, scimark_benchmark: 1925.3565, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.3769, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9849, 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: 0.9702, f_measure: 0.9547, kappa: 0.9094, kb_relative_information_score: 850.9428, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 0.9995, recall: 0.9547, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4138, 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: 0.8338, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.1159, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9852, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8557, kappa: 0.7122, kb_relative_information_score: 677.7049, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8652, predictive_accuracy: 0.8568, prior_entropy: 0.9995, recall: 0.8568, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.757, 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: 0.8644, f_measure: 0.865, kappa: 0.7299, kb_relative_information_score: 693.7222, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8663, predictive_accuracy: 0.8653, prior_entropy: 0.9995, recall: 0.8653, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7344, 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: 0.9021, f_measure: 0.8692, kappa: 0.7383, kb_relative_information_score: 600.7108, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8707, predictive_accuracy: 0.8695, prior_entropy: 0.9995, recall: 0.8695, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6424, scimark_benchmark: 1925.3565, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8504, kappa: 0.7005, kb_relative_information_score: 583.5269, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.851, predictive_accuracy: 0.8505, prior_entropy: 0.9995, recall: 0.8505, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6435, 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: 0.9642, f_measure: 0.9642, kappa: 0.9284, kb_relative_information_score: 880.438, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9995, recall: 0.9642, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3781, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9579, kappa: 0.9157, kb_relative_information_score: 843.8137, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.9995, recall: 0.9579, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.361, scimark_benchmark: 1892.0925, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9442, kappa: 0.8884, kb_relative_information_score: 831.3744, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9444, predictive_accuracy: 0.9442, prior_entropy: 0.9995, recall: 0.9442, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4513, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9495, kappa: 0.8989, kb_relative_information_score: 821.4476, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.9995, recall: 0.9495, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4211, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9674, kappa: 0.9347, kb_relative_information_score: 849.4124, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9995, recall: 0.9674, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3067, scimark_benchmark: 1892.0925, 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: 0.8338, f_measure: 0.705, kappa: 0.4116, kb_relative_information_score: 409.3769, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7078, predictive_accuracy: 0.7053, prior_entropy: 0.9995, recall: 0.7053, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9849, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9558, kappa: 0.9115, kb_relative_information_score: 852.3597, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9558, predictive_accuracy: 0.9558, prior_entropy: 0.9995, recall: 0.9558, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4092, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8504, kappa: 0.7005, kb_relative_information_score: 583.5269, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.851, predictive_accuracy: 0.8505, prior_entropy: 0.9995, recall: 0.8505, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6435, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9495, kappa: 0.8988, kb_relative_information_score: 835.0844, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.9995, recall: 0.9495, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4353, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8692, kappa: 0.7383, kb_relative_information_score: 600.7102, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8707, predictive_accuracy: 0.8695, prior_entropy: 0.9995, recall: 0.8695, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6424, scimark_benchmark: 1788.6668, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9579, kappa: 0.9157, kb_relative_information_score: 843.8137, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.9995, recall: 0.9579, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.361, scimark_benchmark: 1788.6668, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8831, kappa: 0.7661, kb_relative_information_score: 671.3562, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8832, predictive_accuracy: 0.8832, prior_entropy: 0.9995, recall: 0.8832, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5559, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8842, kappa: 0.7682, kb_relative_information_score: 656.8904, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8842, predictive_accuracy: 0.8842, prior_entropy: 0.9995, recall: 0.8842, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6202, 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: 0.8532, f_measure: 0.8366, kappa: 0.6825, kb_relative_information_score: 543.5677, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8785, predictive_accuracy: 0.84, prior_entropy: 0.9995, recall: 0.84, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7002, scimark_benchmark: 1788.6668, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7409, kappa: 0.4829, kb_relative_information_score: 355.2513, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7432, predictive_accuracy: 0.7411, prior_entropy: 0.9995, recall: 0.7411, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8115, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7741, kappa: 0.5508, kb_relative_information_score: 521.5369, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.781, predictive_accuracy: 0.7747, prior_entropy: 0.9995, recall: 0.7747, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9496, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8557, kappa: 0.7122, kb_relative_information_score: 677.7049, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8652, predictive_accuracy: 0.8568, prior_entropy: 0.9995, recall: 0.8568, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.757, scimark_benchmark: 1469.1491, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8504, kappa: 0.7005, kb_relative_information_score: 583.5269, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.851, predictive_accuracy: 0.8505, prior_entropy: 0.9995, recall: 0.8505, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6435, scimark_benchmark: 1092.8812, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8905, kappa: 0.7809, kb_relative_information_score: 697.5893, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8905, predictive_accuracy: 0.8905, prior_entropy: 0.9995, recall: 0.8905, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5435, scimark_benchmark: 1447.2612, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8819, kappa: 0.7637, kb_relative_information_score: 733.6505, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8831, predictive_accuracy: 0.8821, prior_entropy: 0.9995, recall: 0.8821, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5468, scimark_benchmark: 1840.6094, 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: 0.983, f_measure: 0.9557, kappa: 0.9114, kb_relative_information_score: 869.1802, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9571, predictive_accuracy: 0.9558, prior_entropy: 0.9995, recall: 0.9558, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3372, scimark_benchmark: 1840.6094, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9494, kappa: 0.8988, kb_relative_information_score: 825.7607, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9498, predictive_accuracy: 0.9495, prior_entropy: 0.9995, recall: 0.9495, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3762, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8842, kappa: 0.7684, kb_relative_information_score: 714.4887, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8844, predictive_accuracy: 0.8842, prior_entropy: 0.9995, recall: 0.8842, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5401, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.961, kappa: 0.922, kb_relative_information_score: 854.0394, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9995, recall: 0.9611, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3365, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 889.9332, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9686, predictive_accuracy: 0.9684, prior_entropy: 0.9995, recall: 0.9684, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, usercpu_time_millis: 25.89, usercpu_time_millis_testing: 4.202, usercpu_time_millis_training: 21.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3486, kb_relative_information_score: 25.0028, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6974, root_relative_squared_error: 1.3953,

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