Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7081, kappa: 0.4122, kb_relative_information_score: 145.4366, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7293, predictive_accuracy: 0.7188, prior_entropy: 0.9913, recall: 0.7188, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.8903, scimark_benchmark: 1318.0178, usercpu_time_millis: 1.419, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7168, kappa: 0.4347, kb_relative_information_score: 155.3053, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7561, predictive_accuracy: 0.7319, prior_entropy: 0.9913, recall: 0.7319, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8748, scimark_benchmark: 1289.0532, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8121, kappa: 0.6187, kb_relative_information_score: 238.6666, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8131, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8019, scimark_benchmark: 1283.7626, usercpu_time_millis: 3.9, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 3.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 362.6148, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7119, scimark_benchmark: 1283.3769, usercpu_time_millis: 347.806, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 347.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7015, kappa: 0.4042, kb_relative_information_score: 155.6126, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7385, predictive_accuracy: 0.7174, prior_entropy: 0.9913, recall: 0.7174, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8755, scimark_benchmark: 1290.4073, usercpu_time_millis: 1.565, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8584, kappa: 0.715, kb_relative_information_score: 416.6574, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8616, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6513, scimark_benchmark: 1316.4032, usercpu_time_millis: 1.053, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 388.1764, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6891, scimark_benchmark: 1307.5073, usercpu_time_millis: 0.658, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.854, kappa: 0.7086, kb_relative_information_score: 380.2942, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.693, scimark_benchmark: 1309.3797, usercpu_time_millis: 0.776, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6353, kappa: 0.2874, kb_relative_information_score: 95.5941, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6974, predictive_accuracy: 0.6667, prior_entropy: 0.9913, recall: 0.6667, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9347, scimark_benchmark: 1311.567, usercpu_time_millis: 1.519, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8435, kappa: 0.6831, kb_relative_information_score: 360.2315, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6904, scimark_benchmark: 1310.9916, usercpu_time_millis: 0.846, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7011, kappa: 0.4038, kb_relative_information_score: 152.658, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7396, predictive_accuracy: 0.7174, prior_entropy: 0.9913, recall: 0.7174, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8781, scimark_benchmark: 1311.5238, usercpu_time_millis: 1.404, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8504, kappa: 0.6967, kb_relative_information_score: 337.5406, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8506, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7146, scimark_benchmark: 1315.4843, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7538, kappa: 0.5005, kb_relative_information_score: 199.7079, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7612, predictive_accuracy: 0.758, prior_entropy: 0.9913, recall: 0.758, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8504, scimark_benchmark: 1313.2158, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.3963, kb_relative_information_score: 0.0709, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1275.9865, usercpu_time_millis: 1.956, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8612, kappa: 0.723, kb_relative_information_score: 428.611, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6489, scimark_benchmark: 1319.3339, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 382.4027, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6916, scimark_benchmark: 1314.9591, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7255, kappa: 0.4441, kb_relative_information_score: 154.7421, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7365, predictive_accuracy: 0.7319, prior_entropy: 0.9913, recall: 0.7319, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8831, scimark_benchmark: 1293.1824, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3329, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1314.7496, usercpu_time_millis: 58.067, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 58.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6576, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1315.2888, usercpu_time_millis: 6.268, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 6.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8328, kappa: 0.6607, kb_relative_information_score: 287.5742, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8332, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.756, scimark_benchmark: 1298.482, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7129, kappa: 0.4261, kb_relative_information_score: 146.6813, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7492, predictive_accuracy: 0.7275, prior_entropy: 0.9913, recall: 0.7275, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8887, scimark_benchmark: 1290.2476, usercpu_time_millis: 0.962, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4468, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1294.4205, usercpu_time_millis: 15.303, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 15.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7541, kappa: 0.5041, kb_relative_information_score: 186.6076, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7759, predictive_accuracy: 0.7623, prior_entropy: 0.9913, recall: 0.7623, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474, scimark_benchmark: 1289.2214, usercpu_time_millis: 0.913, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.3963, kb_relative_information_score: -0.2182, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002, scimark_benchmark: 1315.6579, usercpu_time_millis: 1.938, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7999, kappa: 0.5937, kb_relative_information_score: 225.2669, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8021, predictive_accuracy: 0.8014, prior_entropy: 0.9913, recall: 0.8014, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8088, scimark_benchmark: 1286.1003, usercpu_time_millis: 19.106, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 19.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7864, kappa: 0.5663, kb_relative_information_score: 220.6589, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7894, predictive_accuracy: 0.7884, prior_entropy: 0.9913, recall: 0.7884, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8276, scimark_benchmark: 1306.4848, usercpu_time_millis: 1.171, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -1.9079, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0033, scimark_benchmark: 1310.2032, usercpu_time_millis: 2.206, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.7973, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1313.2215, usercpu_time_millis: 3.673, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 3.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.6487, kappa: 0.3126, kb_relative_information_score: 97.2949, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7124, predictive_accuracy: 0.6783, prior_entropy: 0.9913, recall: 0.6783, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9352, scimark_benchmark: 1314.6697, usercpu_time_millis: 1.282, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7995, kappa: 0.5932, kb_relative_information_score: 295.0743, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7996, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7783, scimark_benchmark: 1303.9201, usercpu_time_millis: 1.324, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7803, kappa: 0.5538, kb_relative_information_score: 238.5177, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.784, predictive_accuracy: 0.7826, prior_entropy: 0.9913, recall: 0.7826, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8086, scimark_benchmark: 1283.2491, usercpu_time_millis: 1.125, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.5959, kappa: 0.2382, kb_relative_information_score: 81.8258, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7151, predictive_accuracy: 0.6493, prior_entropy: 0.9913, recall: 0.6493, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.942, scimark_benchmark: 1282.5878, usercpu_time_millis: 1.398, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8512, kappa: 0.7012, kb_relative_information_score: 414.3988, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.856, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6773, scimark_benchmark: 1267.1211, usercpu_time_millis: 1.971, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.7924, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1285.8514, usercpu_time_millis: 4.395, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 4.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 394.3254, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6854, scimark_benchmark: 1289.6456, usercpu_time_millis: 0.683, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7204, kappa: 0.4381, kb_relative_information_score: 151.4316, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.747, predictive_accuracy: 0.7319, prior_entropy: 0.9913, recall: 0.7319, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8759, scimark_benchmark: 1305.6759, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.3943, kappa: -0.0087, kb_relative_information_score: -0.7247, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.307, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0015, scimark_benchmark: 1285.627, usercpu_time_millis: 2.63, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.579,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8306, kappa: 0.6644, kb_relative_information_score: 360.7848, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8484, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7098, scimark_benchmark: 1312.3104, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7781, kappa: 0.5495, kb_relative_information_score: 193.7774, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7839, predictive_accuracy: 0.7812, prior_entropy: 0.9913, recall: 0.7812, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8463, scimark_benchmark: 1295.8831, usercpu_time_millis: 1.184, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7616, kappa: 0.5159, kb_relative_information_score: 152.0639, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.764, predictive_accuracy: 0.7638, prior_entropy: 0.9913, recall: 0.7638, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8871, scimark_benchmark: 1312.2134, usercpu_time_millis: 2.182, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4767, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -1.8636, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.003, scimark_benchmark: 1293.936, usercpu_time_millis: 2.262, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8512, kappa: 0.7012, kb_relative_information_score: 414.3844, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.856, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6773, scimark_benchmark: 1296.198, usercpu_time_millis: 1.954, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7941, kappa: 0.5831, kb_relative_information_score: 282.094, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7941, predictive_accuracy: 0.7942, prior_entropy: 0.9913, recall: 0.7942, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7883, scimark_benchmark: 1294.9651, usercpu_time_millis: 1.453, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 368.4531, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6963, scimark_benchmark: 1287.3333, usercpu_time_millis: 683.138, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 683.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3124, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1299.9496, usercpu_time_millis: 95.086, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 95.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 431.9672, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8711, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6392, scimark_benchmark: 1312.4436, usercpu_time_millis: 0.717, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.685,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7328, kappa: 0.4584, kb_relative_information_score: 119.0226, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7327, predictive_accuracy: 0.7333, prior_entropy: 0.9913, recall: 0.7333, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9145, scimark_benchmark: 1298.1565, usercpu_time_millis: 2.421, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8509, kappa: 0.6985, kb_relative_information_score: 379.6643, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8512, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6767, scimark_benchmark: 1315.253, usercpu_time_millis: 0.867, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.834,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8481, kappa: 0.6979, kb_relative_information_score: 388.936, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8617, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6894, scimark_benchmark: 1314.7842, usercpu_time_millis: 1.952, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 391.2876, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6872, scimark_benchmark: 1286.4932, usercpu_time_millis: 0.688, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 390.3891, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6868, scimark_benchmark: 1315.6786, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8583, kappa: 0.7174, kb_relative_information_score: 424.9183, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545, scimark_benchmark: 1304.0518, usercpu_time_millis: 0.669, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.6553, kappa: 0.3313, kb_relative_information_score: 128.3667, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7386, predictive_accuracy: 0.6884, prior_entropy: 0.9913, recall: 0.6884, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8923, scimark_benchmark: 1292.4742, usercpu_time_millis: 1.366, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7206, kappa: 0.4354, kb_relative_information_score: 112.2763, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7213, predictive_accuracy: 0.7203, prior_entropy: 0.9913, recall: 0.7203, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9145, scimark_benchmark: 1294.953, usercpu_time_millis: 2.242, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 2.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4112, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1293.2867, usercpu_time_millis: 30.169, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 30.139,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 421.3913, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6599, scimark_benchmark: 1291.3914, usercpu_time_millis: 0.728, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7928, kappa: 0.5794, kb_relative_information_score: 210.6153, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.799, predictive_accuracy: 0.7957, prior_entropy: 0.9913, recall: 0.7957, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8324, scimark_benchmark: 1293.0646, usercpu_time_millis: 1.397, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.36,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8149, kappa: 0.6264, kb_relative_information_score: 301.1726, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8161, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7635, scimark_benchmark: 1286.7987, usercpu_time_millis: 2.31, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 2.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8238, kappa: 0.6424, kb_relative_information_score: 305.2002, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.83, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7374, scimark_benchmark: 1306.4547, usercpu_time_millis: 1.027, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3949, kappa: -0.0058, kb_relative_information_score: -1.5109, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3074, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0039, scimark_benchmark: 1316.8711, usercpu_time_millis: 1.762, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 1.71,
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: 0.7248, f_measure: 0.6799, kappa: 0.3629, kb_relative_information_score: 121.8221, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7191, predictive_accuracy: 0.6986, prior_entropy: 0.9913, recall: 0.6986, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9133, scimark_benchmark: 1316.1603, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4782, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -2.2883, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.499, root_relative_squared_error: 1.004, scimark_benchmark: 1311.9613, usercpu_time_millis: 2.245, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3874, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7102, scimark_benchmark: 1320.3098, usercpu_time_millis: 35.163, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 35.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 392.7609, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6862, scimark_benchmark: 1268.6471, usercpu_time_millis: 1.353, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.277,
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: 0.8992, f_measure: 0.8127, kappa: 0.6201, kb_relative_information_score: 298.4287, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8222, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7415, scimark_benchmark: 1309.9511, usercpu_time_millis: 1.161, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.3943, kappa: -0.0087, kb_relative_information_score: 1.4243, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.307, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9994, scimark_benchmark: 1288.9974, usercpu_time_millis: 2.592, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8541, kappa: 0.7072, kb_relative_information_score: 413.6692, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8594, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.337, root_relative_squared_error: 0.678, scimark_benchmark: 1297.9358, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.9061, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1288.0403, usercpu_time_millis: 2.672, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 2.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.7785, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1321.6152, usercpu_time_millis: 4.11, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 4.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8569, kappa: 0.7144, kb_relative_information_score: 399.6331, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6688, scimark_benchmark: 1295.1226, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6481, kappa: 0.3102, kb_relative_information_score: 97.4383, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7082, predictive_accuracy: 0.6768, prior_entropy: 0.9913, recall: 0.6768, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9352, scimark_benchmark: 1288.2972, usercpu_time_millis: 1.428, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.683, kappa: 0.3691, kb_relative_information_score: 122.8726, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7227, predictive_accuracy: 0.7014, prior_entropy: 0.9913, recall: 0.7014, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9123, scimark_benchmark: 1312.4804, usercpu_time_millis: 1.266, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.6555, kappa: 0.3294, kb_relative_information_score: 113.4057, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7316, predictive_accuracy: 0.687, prior_entropy: 0.9913, recall: 0.687, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.911, scimark_benchmark: 1290.73, usercpu_time_millis: 1.382, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.752, kappa: 0.499, kb_relative_information_score: 216.0304, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7703, predictive_accuracy: 0.7594, prior_entropy: 0.9913, recall: 0.7594, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.822, scimark_benchmark: 1313.1214, usercpu_time_millis: 1.237, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 372.405, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7015, scimark_benchmark: 1290.9472, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 369.4479, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7057, scimark_benchmark: 1316.6726, usercpu_time_millis: 1.304, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.814, kappa: 0.6227, kb_relative_information_score: 271.234, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8142, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7834, scimark_benchmark: 1300.9407, usercpu_time_millis: 0.936, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8331, kappa: 0.6616, kb_relative_information_score: 306.7201, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7492, scimark_benchmark: 1281.9434, usercpu_time_millis: 0.855, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8606, kappa: 0.7172, kb_relative_information_score: 387.4189, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6754, scimark_benchmark: 1289.7793, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6345, kappa: 0.2974, kb_relative_information_score: 99.7365, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7289, predictive_accuracy: 0.6739, prior_entropy: 0.9913, recall: 0.6739, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9248, scimark_benchmark: 1293.9441, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.3963, kb_relative_information_score: -0.0469, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1315.3063, usercpu_time_millis: 1.805, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3358, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1309.8412, usercpu_time_millis: 66.853, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 66.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3873, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1317.1876, usercpu_time_millis: 39.008, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 38.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7435, kappa: 0.5058, kb_relative_information_score: 204.3511, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7889, predictive_accuracy: 0.7464, prior_entropy: 0.9913, recall: 0.7464, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8402, scimark_benchmark: 1293.4295, usercpu_time_millis: 2.059, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.2291, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7103, scimark_benchmark: 1274.3557, usercpu_time_millis: 97.476, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 97.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8537, kappa: 0.7039, kb_relative_information_score: 348.4146, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8538, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7055, scimark_benchmark: 1314.3739, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.6644, kappa: 0.3377, kb_relative_information_score: 107.5046, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7159, predictive_accuracy: 0.6884, prior_entropy: 0.9913, recall: 0.6884, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9241, scimark_benchmark: 1300.0539, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6922, kappa: 0.3848, kb_relative_information_score: 87.5759, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7, predictive_accuracy: 0.6913, prior_entropy: 0.9913, recall: 0.6913, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9359, scimark_benchmark: 1315.9037, usercpu_time_millis: 2.329, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.281,

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