Task
Supervised Classification on iris

Supervised Classification on iris

Task 7306 Supervised Classification iris 473 runs submitted
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  • study_25 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, average_cost: 0.8667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, total_cost: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.5333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, average_cost: 0.7, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, total_cost: 105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, average_cost: 0.8667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, total_cost: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.5333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, average_cost: 0.7, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, total_cost: 105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, average_cost: 0.6667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, total_cost: 100, usercpu_time_millis: 5.751, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 5.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, average_cost: 0.4, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, total_cost: 60, usercpu_time_millis: 1.612, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, average_cost: 0.7, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, total_cost: 105, usercpu_time_millis: 0.487, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, average_cost: 0.8667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, total_cost: 130, usercpu_time_millis: 0.411, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, average_cost: 0.4, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, total_cost: 60, usercpu_time_millis: 0.42, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, average_cost: 1.3, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 133.5712, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9204, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, total_cost: 195, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, average_cost: 1.1, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, total_cost: 165, usercpu_time_millis: 0.066, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, average_cost: 1.1333, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, total_cost: 170, usercpu_time_millis: 0.248, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, average_cost: 1.6333, f_measure: 0.9127, kappa: 0.87, kb_relative_information_score: 132.2021, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9145, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.5099, total_cost: 245, usercpu_time_millis: 0.685, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, average_cost: 0.9333, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 134.9402, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469, total_cost: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, average_cost: 0.8, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, total_cost: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, average_cost: 0.3667, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 144.5237, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2828, total_cost: 55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, average_cost: 8.1667, f_measure: 0.5473, kappa: 0.5, kb_relative_information_score: 81.5465, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4785, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, total_cost: 1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, average_cost: 1.2667, f_measure: 0.8918, kappa: 0.84, kb_relative_information_score: 128.0949, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9072, predictive_accuracy: 0.8933, prior_entropy: 1.585, recall: 0.8933, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5657, total_cost: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, average_cost: 1.2667, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472, total_cost: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, average_cost: 0.9333, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, total_cost: 140, usercpu_time_millis: 295.502, usercpu_time_millis_testing: 3.033, usercpu_time_millis_training: 292.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, average_cost: 0.7667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, total_cost: 115, usercpu_time_millis: 9.48, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 9.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.5333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 80, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, average_cost: 0.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, total_cost: 90, usercpu_time_millis: 0.232, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, average_cost: 0.4, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, total_cost: 60, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 9.6667, f_measure: 0.3317, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3333, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, total_cost: 1450, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, average_cost: 8, f_measure: 0.5842, kappa: 0.52, kb_relative_information_score: 84.2846, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8367, predictive_accuracy: 0.68, prior_entropy: 1.585, recall: 0.68, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9798, total_cost: 1200, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, average_cost: 1.1667, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472, total_cost: 175, usercpu_time_millis: 2.091, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, average_cost: 0.9, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, total_cost: 135, usercpu_time_millis: 0.862, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, average_cost: 0.7, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, total_cost: 105, usercpu_time_millis: 0.941, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, average_cost: 10.1667, f_measure: 0.4418, kappa: 0.2, kb_relative_information_score: 40.4744, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5652, predictive_accuracy: 0.4667, prior_entropy: 1.585, recall: 0.4667, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2649, total_cost: 1525, usercpu_time_millis: 0.052, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, average_cost: 0.4, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, total_cost: 60, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, average_cost: 0.5667, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 144.5237, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2828, total_cost: 85, usercpu_time_millis: 0.063, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, average_cost: 1.3, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, total_cost: 195, usercpu_time_millis: 0.146, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, average_cost: 0.7, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, total_cost: 105, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, average_cost: 0.7667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, total_cost: 115, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, average_cost: 0.7, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, total_cost: 105, usercpu_time_millis: 0.058, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, average_cost: 0.8333, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, total_cost: 125, usercpu_time_millis: 1.095, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, average_cost: 0.8667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, total_cost: 130, usercpu_time_millis: 1.009, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, average_cost: 0.7, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, total_cost: 105, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, average_cost: 1.1333, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, total_cost: 170, usercpu_time_millis: 0.346, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, average_cost: 0.4, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, total_cost: 60, usercpu_time_millis: 0.109, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, average_cost: 0.7667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, total_cost: 115, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 9.3333, f_measure: 0.3219, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3333, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, total_cost: 1400, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, average_cost: 0.8333, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, total_cost: 125, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, average_cost: 1, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, total_cost: 150, usercpu_time_millis: 0.377, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 95, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 95, usercpu_time_millis: 1.39, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 9.3333, f_measure: 0.3219, kb_relative_information_score: 2.3012, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3333, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0019, total_cost: 1400,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, average_cost: 0.8333, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.8388, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3235, total_cost: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, average_cost: 0.6667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.0538, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3433, total_cost: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, average_cost: 0.9333, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.2756, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3718, total_cost: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.8895, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3197, total_cost: 95,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, average_cost: 0.6667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.0538, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3433, total_cost: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, average_cost: 0.6667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.0538, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3433, total_cost: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, average_cost: 0.6667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.0538, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3433, total_cost: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, average_cost: 0.6667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.0538, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3433, total_cost: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, average_cost: 0.9333, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.2756, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3718, total_cost: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, average_cost: 0.6667, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.0538, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3433, total_cost: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, average_cost: 0.9333, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.2756, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3718, total_cost: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, average_cost: 0.9333, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.2756, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3718, total_cost: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, average_cost: 0.9333, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.2756, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3718, total_cost: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, average_cost: 0.9333, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.2756, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3718, total_cost: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.8895, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3197, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.8895, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3197, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.8895, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3197, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.8895, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3197, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.8895, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3197, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, average_cost: 0.9333, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.2756, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3718, total_cost: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.8895, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3197, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.8895, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3197, total_cost: 95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 9.3333, f_measure: 0.3219, kb_relative_information_score: 2.3012, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3333, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0019, total_cost: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 9.3333, f_measure: 0.3219, kb_relative_information_score: 2.3012, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3333, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0019, total_cost: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 9.3333, f_measure: 0.3219, kb_relative_information_score: 2.3012, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3333, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0019, total_cost: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 9.3333, f_measure: 0.3219, kb_relative_information_score: 2.3012, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3333, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0019, total_cost: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 9.3333, f_measure: 0.3219, kb_relative_information_score: 2.3012, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3333, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0019, total_cost: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, average_cost: 0.8333, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.8388, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3235, total_cost: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, average_cost: 0.8333, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.8388, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3235, total_cost: 125,

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

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From your own software

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

OpenML APIs