OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, kappa: 0.6448, kb_relative_information_score: 759.3547, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, kappa: 0.6553, kb_relative_information_score: 816.5775, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.842, prior_entropy: 1.2099, recall: 0.842, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1118.7879, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8745, kappa: 0.7351, kb_relative_information_score: 1095.9847, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8871, predictive_accuracy: 0.8721, prior_entropy: 1.2099, recall: 0.8721, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9561, kappa: 0.9053, kb_relative_information_score: 1374.3645, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.959, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9602, kappa: 0.9136, kb_relative_information_score: 1403.1656, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9624, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.138, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.8445, kappa: 0.674, kb_relative_information_score: 887.4465, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8586, predictive_accuracy: 0.8669, prior_entropy: 1.2099, recall: 0.8669, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1118.688, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7694, kappa: 0.5487, kb_relative_information_score: 233.0092, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8428, predictive_accuracy: 0.7517, prior_entropy: 1.2099, recall: 0.7517, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1112.012, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.242, root_relative_squared_error: 0.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1114.0046, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8737, kappa: 0.732, kb_relative_information_score: 1119.9954, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8857, predictive_accuracy: 0.8704, prior_entropy: 1.2099, recall: 0.8704, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.211, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.87, kappa: 0.7256, kb_relative_information_score: 1056.502, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8846, predictive_accuracy: 0.8681, prior_entropy: 1.2099, recall: 0.8681, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, kappa: -0.006, kb_relative_information_score: -770.7146, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6968, prior_entropy: 1.2099, recall: 0.6968, relative_absolute_error: 1.4841, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.1706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8746, kappa: 0.7343, kb_relative_information_score: 1113.8132, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8867, predictive_accuracy: 0.8715, prior_entropy: 1.2099, recall: 0.8715, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9631, kappa: 0.9199, kb_relative_information_score: 1519.0475, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9652, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8725, kappa: 0.7312, kb_relative_information_score: 996.7767, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8881, predictive_accuracy: 0.8715, prior_entropy: 1.2099, recall: 0.8715, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8717, kappa: 0.7294, kb_relative_information_score: 1065.4665, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8857, predictive_accuracy: 0.8698, prior_entropy: 1.2099, recall: 0.8698, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1090.6114, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8746, kappa: 0.7343, kb_relative_information_score: 1110.8155, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8867, predictive_accuracy: 0.8715, prior_entropy: 1.2099, recall: 0.8715, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -27.6679, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8737, kappa: 0.732, kb_relative_information_score: 1118.9245, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8857, predictive_accuracy: 0.8704, prior_entropy: 1.2099, recall: 0.8704, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9574, kappa: 0.9078, kb_relative_information_score: 1377.298, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.96, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9586, kappa: 0.9104, kb_relative_information_score: 1446.3524, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9613, predictive_accuracy: 0.9578, prior_entropy: 1.2099, recall: 0.9578, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1113.9186, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.242, root_relative_squared_error: 0.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1110.3205, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1095.5814, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: 1639.5352, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9375, kappa: 0.8635, kb_relative_information_score: 1401.2519, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9382, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8999, kappa: 0.7816, kb_relative_information_score: 1307.1142, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9008, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, kb_relative_information_score: 7.4345, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9627, kappa: 0.919, kb_relative_information_score: 1530.0574, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9627, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.7616, kappa: 0.5129, kb_relative_information_score: 645.9883, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8202, predictive_accuracy: 0.7361, prior_entropy: 1.2099, recall: 0.7361, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, kappa: 0.4582, kb_relative_information_score: 883.5899, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8003, prior_entropy: 1.2099, recall: 0.8003, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9975, kb_relative_information_score: 1688.5109, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.2099, recall: 0.9988, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7676, kappa: 0.5193, kb_relative_information_score: 672.0853, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8212, predictive_accuracy: 0.7419, prior_entropy: 1.2099, recall: 0.7419, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9896, kappa: 0.9772, kb_relative_information_score: 1626.3129, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.2099, recall: 0.9896, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.2127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, kappa: 0.1738, kb_relative_information_score: 319.4054, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6933, prior_entropy: 1.2099, recall: 0.6933, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9122, kappa: 0.8095, kb_relative_information_score: 1346.0573, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9141, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.84, kappa: 0.6496, kb_relative_information_score: 1047.3052, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8384, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.237, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9873, kappa: 0.9723, kb_relative_information_score: 1650.4455, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9875, predictive_accuracy: 0.9873, prior_entropy: 1.2099, recall: 0.9873, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9937, kb_relative_information_score: 1681.1299, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.2099, recall: 0.9971, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.1082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9675, kappa: 0.9291, kb_relative_information_score: 1595.6009, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9677, predictive_accuracy: 0.9676, prior_entropy: 1.2099, recall: 0.9676, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.114, root_relative_squared_error: 0.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, kb_relative_information_score: 71.538, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9975, kb_relative_information_score: 1693.5595, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.2099, recall: 0.9988, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0278, root_relative_squared_error: 0.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8891, kappa: 0.7613, kb_relative_information_score: 1233.8257, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8888, predictive_accuracy: 0.8929, prior_entropy: 1.2099, recall: 0.8929, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1710.0983, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8923, kappa: 0.7691, kb_relative_information_score: 1227.836, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8916, predictive_accuracy: 0.8964, prior_entropy: 1.2099, recall: 0.8964, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9837, kappa: 0.9646, kb_relative_information_score: 1649.2213, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 1.2099, recall: 0.9838, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.7697, kappa: 0.5336, kb_relative_information_score: 639.1006, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8266, predictive_accuracy: 0.7512, prior_entropy: 1.2099, recall: 0.7512, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.818, kappa: 0.6104, kb_relative_information_score: 944.4089, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8278, predictive_accuracy: 0.838, prior_entropy: 1.2099, recall: 0.838, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9592, kappa: 0.9113, kb_relative_information_score: 1509.9625, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9592, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9352, kappa: 0.8588, kb_relative_information_score: 1414.5877, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9361, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9408, kappa: 0.8751, kb_relative_information_score: 1479.8974, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9525, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7769, kappa: 0.5391, kb_relative_information_score: 682.0085, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8312, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8984, kappa: 0.7836, kb_relative_information_score: 1247.5505, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9063, predictive_accuracy: 0.8958, prior_entropy: 1.2099, recall: 0.8958, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1701.656, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.6841, kappa: 0.2919, kb_relative_information_score: 469.5374, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6657, predictive_accuracy: 0.7101, prior_entropy: 1.2099, recall: 0.7101, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3, root_relative_squared_error: 0.8872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.9811, kb_relative_information_score: 1669.1226, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9915, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9966, kappa: 0.9924, kb_relative_information_score: 1690.7362, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9967, predictive_accuracy: 0.9965, prior_entropy: 1.2099, recall: 0.9965, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.1082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9105, kappa: 0.8041, kb_relative_information_score: 1367.5899, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9128, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9646, kappa: 0.9225, kb_relative_information_score: 1527.6202, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9645, predictive_accuracy: 0.9647, prior_entropy: 1.2099, recall: 0.9647, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.3332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1696.9604, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.029, root_relative_squared_error: 0.0858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9281, kappa: 0.844, kb_relative_information_score: 1361.057, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9326, predictive_accuracy: 0.9259, prior_entropy: 1.2099, recall: 0.9259, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.171, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, kappa: -0.0426, kb_relative_information_score: 33.1699, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6736, prior_entropy: 1.2099, recall: 0.6736, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.333, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.6627, kappa: 0.2345, kb_relative_information_score: 380.3543, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6742, predictive_accuracy: 0.6973, prior_entropy: 1.2099, recall: 0.6973, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8975, kappa: 0.7779, kb_relative_information_score: 1310.3729, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8992, predictive_accuracy: 0.897, prior_entropy: 1.2099, recall: 0.897, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9284, kappa: 0.8451, kb_relative_information_score: 1372.5328, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9324, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9388, kappa: 0.867, kb_relative_information_score: 1424.1825, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9394, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.7786, kappa: 0.5368, kb_relative_information_score: 725.8446, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8248, predictive_accuracy: 0.7552, prior_entropy: 1.2099, recall: 0.7552, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.286, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9296, kappa: 0.8464, kb_relative_information_score: 1395.583, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9295, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.898, kappa: 0.7831, kb_relative_information_score: 1260.935, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.907, predictive_accuracy: 0.8953, prior_entropy: 1.2099, recall: 0.8953, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.5899,

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