Task
Supervised Classification on LED-display-domain-7digit

Supervised Classification on LED-display-domain-7digit

Task 125921 Supervised Classification LED-display-domain-7digit 11959 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50
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11959 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 314.0989, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7208, kappa: 0.6862, kb_relative_information_score: 309.3865, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.729, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.7076, kappa: 0.6754, kb_relative_information_score: 325.9969, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7131, predictive_accuracy: 0.708, prior_entropy: 3.3127, recall: 0.708, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.7129, kappa: 0.6773, kb_relative_information_score: 306.2586, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7215, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.7181, kappa: 0.6866, kb_relative_information_score: 333.3972, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7225, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7102, kappa: 0.6776, kb_relative_information_score: 321.9656, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7151, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7197, kappa: 0.6865, kb_relative_information_score: 318.8377, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7271, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.7139, kappa: 0.6822, kb_relative_information_score: 331.9341, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7199, predictive_accuracy: 0.714, prior_entropy: 3.3127, recall: 0.714, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.6897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.7197, kappa: 0.6865, kb_relative_information_score: 313.0368, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7271, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.214, root_relative_squared_error: 0.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7116, kappa: 0.6775, kb_relative_information_score: 308.7631, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7169, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.7231, kappa: 0.6932, kb_relative_information_score: 337.2667, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7264, predictive_accuracy: 0.724, prior_entropy: 3.3127, recall: 0.724, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.7076, kappa: 0.6754, kb_relative_information_score: 325.9969, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7131, predictive_accuracy: 0.708, prior_entropy: 3.3127, recall: 0.708, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7199, kappa: 0.6863, kb_relative_information_score: 311.1363, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7256, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7197, kappa: 0.6865, kb_relative_information_score: 318.8377, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7271, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7197, kappa: 0.6865, kb_relative_information_score: 318.8377, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7271, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7188, kappa: 0.684, kb_relative_information_score: 308.805, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7275, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7208, kappa: 0.6862, kb_relative_information_score: 309.3865, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.729, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7208, kappa: 0.6862, kb_relative_information_score: 309.3865, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.729, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7116, kappa: 0.6775, kb_relative_information_score: 308.7631, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7169, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7064, kappa: 0.6732, kb_relative_information_score: 320.2821, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7119, predictive_accuracy: 0.706, prior_entropy: 3.3127, recall: 0.706, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7207, kappa: 0.6863, kb_relative_information_score: 309.9041, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7284, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.7076, kappa: 0.6754, kb_relative_information_score: 325.9969, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7131, predictive_accuracy: 0.708, prior_entropy: 3.3127, recall: 0.708, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.7215, kappa: 0.691, kb_relative_information_score: 334.2582, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7247, predictive_accuracy: 0.722, prior_entropy: 3.3127, recall: 0.722, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7208, kappa: 0.6862, kb_relative_information_score: 309.3865, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.729, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7135, kappa: 0.682, kb_relative_information_score: 342.1963, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7176, predictive_accuracy: 0.714, prior_entropy: 3.3127, recall: 0.714, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7139, kappa: 0.6797, kb_relative_information_score: 308.5899, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7196, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.7147, kappa: 0.6842, kb_relative_information_score: 343.2821, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.721, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7059, kappa: 0.6732, kb_relative_information_score: 324.2897, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7094, predictive_accuracy: 0.706, prior_entropy: 3.3127, recall: 0.706, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.7167, kappa: 0.6864, kb_relative_information_score: 339.6527, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7201, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 314.0989, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 316.4695, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7102, kappa: 0.6776, kb_relative_information_score: 321.9656, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7151, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 316.4695, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.7168, kappa: 0.6843, kb_relative_information_score: 349.2161, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7208, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.6818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.7129, kappa: 0.6773, kb_relative_information_score: 306.2586, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7215, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.7088, kappa: 0.6775, kb_relative_information_score: 341.7691, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7138, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7175, kappa: 0.6842, kb_relative_information_score: 311.3096, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7229, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7059, kappa: 0.6732, kb_relative_information_score: 324.2897, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7094, predictive_accuracy: 0.706, prior_entropy: 3.3127, recall: 0.706, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.7096, kappa: 0.6776, kb_relative_information_score: 326.3059, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7127, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7232, kappa: 0.6931, kb_relative_information_score: 337.2889, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7274, predictive_accuracy: 0.724, prior_entropy: 3.3127, recall: 0.724, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.7155, kappa: 0.6842, kb_relative_information_score: 342.5235, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7226, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.6849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7207, kappa: 0.6863, kb_relative_information_score: 309.9041, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7284, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7147, kappa: 0.6796, kb_relative_information_score: 307.3577, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7223, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7207, kappa: 0.6863, kb_relative_information_score: 309.9041, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7284, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.7193, kappa: 0.6888, kb_relative_information_score: 333.0254, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7238, predictive_accuracy: 0.72, prior_entropy: 3.3127, recall: 0.72, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 316.4695, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7059, kappa: 0.6732, kb_relative_information_score: 324.2897, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7094, predictive_accuracy: 0.706, prior_entropy: 3.3127, recall: 0.706, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7207, kappa: 0.6863, kb_relative_information_score: 309.9041, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7284, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.7197, kappa: 0.6887, kb_relative_information_score: 336.0474, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7236, predictive_accuracy: 0.72, prior_entropy: 3.3127, recall: 0.72, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.7183, kappa: 0.6866, kb_relative_information_score: 333.5786, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7239, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7139, kappa: 0.6797, kb_relative_information_score: 308.5899, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7196, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.7168, kappa: 0.6864, kb_relative_information_score: 341.8124, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7207, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.7148, kappa: 0.6796, kb_relative_information_score: 306.8401, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7229, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.7096, kappa: 0.6776, kb_relative_information_score: 326.3059, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7127, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7137, kappa: 0.6798, kb_relative_information_score: 310.4904, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.721, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7148, kappa: 0.6842, kb_relative_information_score: 342.5754, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7195, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.6868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.716, kappa: 0.6843, kb_relative_information_score: 333.6625, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7198, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.7149, kappa: 0.6842, kb_relative_information_score: 339.4851, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7186, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7175, kappa: 0.6842, kb_relative_information_score: 311.3096, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7229, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7116, kappa: 0.6775, kb_relative_information_score: 308.7631, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7169, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.7147, kappa: 0.6842, kb_relative_information_score: 341.4984, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7193, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7199, kappa: 0.6863, kb_relative_information_score: 311.1363, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7256, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7137, kappa: 0.6798, kb_relative_information_score: 310.4904, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.721, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7139, kappa: 0.6797, kb_relative_information_score: 308.5899, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7196, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.7197, kappa: 0.6887, kb_relative_information_score: 336.1257, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7236, predictive_accuracy: 0.72, prior_entropy: 3.3127, recall: 0.72, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7139, kappa: 0.6797, kb_relative_information_score: 308.5899, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7196, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7161, kappa: 0.6864, kb_relative_information_score: 339.9083, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7195, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7116, kappa: 0.6775, kb_relative_information_score: 308.7631, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7169, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.7155, kappa: 0.6842, kb_relative_information_score: 342.6365, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7226, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.6848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7161, kappa: 0.6864, kb_relative_information_score: 339.9083, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7195, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7199, kappa: 0.6863, kb_relative_information_score: 311.1363, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7256, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7175, kappa: 0.6842, kb_relative_information_score: 311.3096, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7229, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7207, kappa: 0.6863, kb_relative_information_score: 309.9041, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7284, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7147, kappa: 0.6796, kb_relative_information_score: 307.3577, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7223, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.7127, kappa: 0.6819, kb_relative_information_score: 343.1436, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7182, predictive_accuracy: 0.714, prior_entropy: 3.3127, recall: 0.714, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.6863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.7161, kappa: 0.6864, kb_relative_information_score: 340.1611, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7195, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7137, kappa: 0.6798, kb_relative_information_score: 310.4904, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.721, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7059, kappa: 0.6732, kb_relative_information_score: 324.2897, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7094, predictive_accuracy: 0.706, prior_entropy: 3.3127, recall: 0.706, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.7114, kappa: 0.6797, kb_relative_information_score: 350.3731, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7148, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.7091, kappa: 0.6776, kb_relative_information_score: 326.5252, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7129, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7208, kappa: 0.6862, kb_relative_information_score: 309.3865, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.729, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7137, kappa: 0.6798, kb_relative_information_score: 310.4904, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.721, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.7076, kappa: 0.6754, kb_relative_information_score: 325.9969, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7131, predictive_accuracy: 0.708, prior_entropy: 3.3127, recall: 0.708, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7188, kappa: 0.684, kb_relative_information_score: 308.805, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7275, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.7166, kappa: 0.6864, kb_relative_information_score: 339.8045, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7213, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.7215, kappa: 0.691, kb_relative_information_score: 334.2582, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7247, predictive_accuracy: 0.722, prior_entropy: 3.3127, recall: 0.722, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.7061, kappa: 0.6753, kb_relative_information_score: 342.22, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7119, predictive_accuracy: 0.708, prior_entropy: 3.3127, recall: 0.708, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.6926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7064, kappa: 0.6732, kb_relative_information_score: 320.2821, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7119, predictive_accuracy: 0.706, prior_entropy: 3.3127, recall: 0.706, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7102, kappa: 0.6776, kb_relative_information_score: 321.9656, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7151, predictive_accuracy: 0.71, prior_entropy: 3.3127, recall: 0.71, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.7105, kappa: 0.6798, kb_relative_information_score: 341.6333, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7155, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7175, kappa: 0.6842, kb_relative_information_score: 311.3096, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7229, predictive_accuracy: 0.716, prior_entropy: 3.3127, recall: 0.716, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7161, kappa: 0.6864, kb_relative_information_score: 339.9083, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7195, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 314.0989, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.7104, kappa: 0.6797, kb_relative_information_score: 343.0015, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.716, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7147, kappa: 0.6796, kb_relative_information_score: 307.3577, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7223, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.7181, kappa: 0.6866, kb_relative_information_score: 333.3972, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7225, predictive_accuracy: 0.718, prior_entropy: 3.3127, recall: 0.718, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 316.4695, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.7076, kappa: 0.6754, kb_relative_information_score: 325.9969, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7131, predictive_accuracy: 0.708, prior_entropy: 3.3127, recall: 0.708, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 314.0989, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7139, kappa: 0.6798, kb_relative_information_score: 314.0989, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.712, prior_entropy: 3.3127, recall: 0.712, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7154,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs