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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7977, kappa: 0.5698, kb_relative_information_score: 200.5815, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8006, predictive_accuracy: 0.7962, prior_entropy: 0.9509, recall: 0.7962, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.914, scimark_benchmark: 941.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8292, kappa: 0.6343, kb_relative_information_score: 229.948, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8297, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8085, scimark_benchmark: 917.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.8129, kappa: 0.5994, kb_relative_information_score: 214.1741, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8134, predictive_accuracy: 0.8125, prior_entropy: 0.9509, recall: 0.8125, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8975, scimark_benchmark: 940.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7953, kappa: 0.566, kb_relative_information_score: 189.4778, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7995, predictive_accuracy: 0.7935, prior_entropy: 0.9509, recall: 0.7935, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8246, kappa: 0.621, kb_relative_information_score: 172.2476, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8244, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.746, scimark_benchmark: 926.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 233.8776, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8321, scimark_benchmark: 948.5384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.8011, kappa: 0.5683, kb_relative_information_score: 196.3279, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.802, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8389, scimark_benchmark: 946.2305,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8534, kappa: 0.6817, kb_relative_information_score: 199.3715, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8559, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6973, scimark_benchmark: 944.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8301, kappa: 0.6329, kb_relative_information_score: 228.2955, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.83, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8157, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7815, kappa: 0.5354, kb_relative_information_score: 191.2869, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7845, predictive_accuracy: 0.7799, prior_entropy: 0.9509, recall: 0.7799, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9301, scimark_benchmark: 886.4913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8263, kappa: 0.6279, kb_relative_information_score: 167.9263, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8267, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7951, kappa: 0.5549, kb_relative_information_score: 195.2089, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7964, predictive_accuracy: 0.7989, prior_entropy: 0.9509, recall: 0.7989, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8501, scimark_benchmark: 941.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8572, kappa: 0.6911, kb_relative_information_score: 174.5784, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8577, predictive_accuracy: 0.8587, prior_entropy: 0.9509, recall: 0.8587, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6984, scimark_benchmark: 943.7752,