Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 147475 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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147475 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8689, kappa: 0.7045, kb_relative_information_score: 0.5549, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8701, number_of_instances: 1055, precision: 0.8688, predictive_accuracy: 0.8701, prior_entropy: 0.9223, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6545, unweighted_recall: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.6468, kappa: 0.1882, kb_relative_information_score: 0.1445, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6511, predictive_accuracy: 0.6768, prior_entropy: 0.9223, recall: 0.6768, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7418, kappa: 0.418, kb_relative_information_score: 0.2798, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7403, predictive_accuracy: 0.7441, prior_entropy: 0.9223, recall: 0.7441, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8238, kappa: 0.6063, kb_relative_information_score: 0.4801, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8239, predictive_accuracy: 0.8237, prior_entropy: 0.9223, recall: 0.8237, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7849, kappa: 0.5103, kb_relative_information_score: 0.3727, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7855, predictive_accuracy: 0.7905, prior_entropy: 0.9223, recall: 0.7905, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8797, kappa: 0.7292, kb_relative_information_score: 0.5683, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8795, predictive_accuracy: 0.8806, prior_entropy: 0.9223, recall: 0.8806, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8479, kappa: 0.657, kb_relative_information_score: 0.5275, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8475, predictive_accuracy: 0.8493, prior_entropy: 0.9223, recall: 0.8493, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8709, kappa: 0.7092, kb_relative_information_score: 0.5656, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 0.5656, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8175, kappa: 0.5876, kb_relative_information_score: 0.475, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.817, predictive_accuracy: 0.8199, prior_entropy: 0.9223, recall: 0.8199, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8433, kappa: 0.6454, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8433, predictive_accuracy: 0.8455, prior_entropy: 0.9223, recall: 0.8455, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8508, kappa: 0.6637, kb_relative_information_score: 0.475, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8504, predictive_accuracy: 0.8521, prior_entropy: 0.9223, recall: 0.8521, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8806, kappa: 0.7311, kb_relative_information_score: 0.5949, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8804, predictive_accuracy: 0.8815, prior_entropy: 0.9223, recall: 0.8815, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8718, kappa: 0.7112, kb_relative_information_score: 0.5672, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8131, kappa: 0.5864, kb_relative_information_score: 0.4545, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.816, predictive_accuracy: 0.8114, prior_entropy: 0.9223, recall: 0.8114, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8059, kappa: 0.5543, kb_relative_information_score: 0.3955, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.821, predictive_accuracy: 0.8171, prior_entropy: 0.9223, recall: 0.8171, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8138, kappa: 0.5877, kb_relative_information_score: 0.4556, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8164, predictive_accuracy: 0.8123, prior_entropy: 0.9223, recall: 0.8123, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8129, kappa: 0.573, kb_relative_information_score: 0.4316, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8165, predictive_accuracy: 0.819, prior_entropy: 0.9223, recall: 0.819, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.873, kappa: 0.7139, kb_relative_information_score: 0.5706, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8727, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8795, kappa: 0.7284, kb_relative_information_score: 0.5651, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9223, recall: 0.8806, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8229, kappa: 0.597, kb_relative_information_score: 0.3721, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8249, predictive_accuracy: 0.8275, prior_entropy: 0.9223, recall: 0.8275, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.6211, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, predictive_accuracy: 0.8834, prior_entropy: 0.9223, recall: 0.8834, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8561, kappa: 0.6749, kb_relative_information_score: 0.5279, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8561, predictive_accuracy: 0.8578, prior_entropy: 0.9223, recall: 0.8578, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8695, kappa: 0.7052, kb_relative_information_score: 0.5307, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8697, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8524, kappa: 0.6667, kb_relative_information_score: 0.5572, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8522, predictive_accuracy: 0.854, prior_entropy: 0.9223, recall: 0.854, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8594, kappa: 0.6829, kb_relative_information_score: 0.5645, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8591, predictive_accuracy: 0.8607, prior_entropy: 0.9223, recall: 0.8607, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8479, kappa: 0.6556, kb_relative_information_score: 0.5126, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8482, predictive_accuracy: 0.8502, prior_entropy: 0.9223, recall: 0.8502, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8399, kappa: 0.6359, kb_relative_information_score: 0.5029, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8418, predictive_accuracy: 0.8436, prior_entropy: 0.9223, recall: 0.8436, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8806, kappa: 0.7311, kb_relative_information_score: 0.5964, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8804, predictive_accuracy: 0.8815, prior_entropy: 0.9223, recall: 0.8815, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8131, kappa: 0.5864, kb_relative_information_score: 0.4515, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.816, predictive_accuracy: 0.8114, prior_entropy: 0.9223, recall: 0.8114, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8257, kappa: 0.6066, kb_relative_information_score: 0.5011, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8251, predictive_accuracy: 0.8275, prior_entropy: 0.9223, recall: 0.8275, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8572, kappa: 0.6777, kb_relative_information_score: 0.5637, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8571, predictive_accuracy: 0.8588, prior_entropy: 0.9223, recall: 0.8588, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8302, kappa: 0.613, kb_relative_information_score: 0.4822, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8334, predictive_accuracy: 0.8351, prior_entropy: 0.9223, recall: 0.8351, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.585, kappa: 0.0933, kb_relative_information_score: 0.0657, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7166, predictive_accuracy: 0.6834, prior_entropy: 0.9223, recall: 0.6834, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8803, kappa: 0.73, kb_relative_information_score: 0.617, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8804, predictive_accuracy: 0.8815, prior_entropy: 0.9223, recall: 0.8815, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8068, kappa: 0.5705, kb_relative_information_score: 0.4539, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8083, predictive_accuracy: 0.8057, prior_entropy: 0.9223, recall: 0.8057, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8742, kappa: 0.7171, kb_relative_information_score: 0.5737, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8739, predictive_accuracy: 0.8749, prior_entropy: 0.9223, recall: 0.8749, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8409, kappa: 0.6384, kb_relative_information_score: 0.5183, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8427, predictive_accuracy: 0.8445, prior_entropy: 0.9223, recall: 0.8445, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8645, kappa: 0.6952, kb_relative_information_score: 0.4864, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8642, predictive_accuracy: 0.8654, prior_entropy: 0.9223, recall: 0.8654, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8804, kappa: 0.7304, kb_relative_information_score: 0.5881, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8804, predictive_accuracy: 0.8815, prior_entropy: 0.9223, recall: 0.8815, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 0.5603, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8121, kappa: 0.5757, kb_relative_information_score: 0.4571, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8114, predictive_accuracy: 0.8142, prior_entropy: 0.9223, recall: 0.8142, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8628, kappa: 0.6903, kb_relative_information_score: 0.5621, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9223, recall: 0.8645, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8614, kappa: 0.6877, kb_relative_information_score: 0.5683, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8611, predictive_accuracy: 0.8626, prior_entropy: 0.9223, recall: 0.8626, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8261, kappa: 0.615, kb_relative_information_score: 0.4834, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8287, predictive_accuracy: 0.8246, prior_entropy: 0.9223, recall: 0.8246, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7955, kappa: 0.5434, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7958, predictive_accuracy: 0.7953, prior_entropy: 0.9223, recall: 0.7953, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8784, kappa: 0.7257, kb_relative_information_score: 0.609, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8784, predictive_accuracy: 0.8796, prior_entropy: 0.9223, recall: 0.8796, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8171, kappa: 0.5874, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8164, predictive_accuracy: 0.819, prior_entropy: 0.9223, recall: 0.819, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8815, kappa: 0.7331, kb_relative_information_score: 0.6059, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8814, predictive_accuracy: 0.8825, prior_entropy: 0.9223, recall: 0.8825, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.807, kappa: 0.5583, kb_relative_information_score: 0.415, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8141, predictive_accuracy: 0.8152, prior_entropy: 0.9223, recall: 0.8152, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.8101, kappa: 0.5648, kb_relative_information_score: 0.4289, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8195, predictive_accuracy: 0.819, prior_entropy: 0.9223, recall: 0.819, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8788, kappa: 0.7272, kb_relative_information_score: 0.5862, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8786, predictive_accuracy: 0.8796, prior_entropy: 0.9223, recall: 0.8796, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8511, kappa: 0.6633, kb_relative_information_score: 0.5269, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8512, predictive_accuracy: 0.8531, prior_entropy: 0.9223, recall: 0.8531, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8359, kappa: 0.6278, kb_relative_information_score: 0.4709, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8365, predictive_accuracy: 0.8389, prior_entropy: 0.9223, recall: 0.8389, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8112, kappa: 0.5795, kb_relative_information_score: 0.4557, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8121, predictive_accuracy: 0.8104, prior_entropy: 0.9223, recall: 0.8104, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8536, kappa: 0.67, kb_relative_information_score: 0.4674, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8533, predictive_accuracy: 0.855, prior_entropy: 0.9223, recall: 0.855, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8741, kappa: 0.7167, kb_relative_information_score: 0.5504, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8738, predictive_accuracy: 0.8749, prior_entropy: 0.9223, recall: 0.8749, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.876, kappa: 0.721, kb_relative_information_score: 0.5487, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8757, predictive_accuracy: 0.8768, prior_entropy: 0.9223, recall: 0.8768, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 0.5364, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.873, kappa: 0.7139, kb_relative_information_score: 0.5737, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8727, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8279, kappa: 0.6083, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8299, predictive_accuracy: 0.8322, prior_entropy: 0.9223, recall: 0.8322, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7838, kappa: 0.5031, kb_relative_information_score: 0.3429, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8075, predictive_accuracy: 0.8, prior_entropy: 0.9223, recall: 0.8, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8451, kappa: 0.6482, kb_relative_information_score: 0.5121, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8465, predictive_accuracy: 0.8483, prior_entropy: 0.9223, recall: 0.8483, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8787, kappa: 0.7268, kb_relative_information_score: 0.5744, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8785, predictive_accuracy: 0.8796, prior_entropy: 0.9223, recall: 0.8796, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8357, kappa: 0.626, kb_relative_information_score: 0.4987, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.838, predictive_accuracy: 0.8398, prior_entropy: 0.9223, recall: 0.8398, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.867, kappa: 0.7002, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8668, predictive_accuracy: 0.8682, prior_entropy: 0.9223, recall: 0.8682, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7866, kappa: 0.5098, kb_relative_information_score: 0.3771, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8026, predictive_accuracy: 0.8, prior_entropy: 0.9223, recall: 0.8, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8482, kappa: 0.6585, kb_relative_information_score: 0.533, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8478, predictive_accuracy: 0.8493, prior_entropy: 0.9223, recall: 0.8493, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8777, kappa: 0.7245, kb_relative_information_score: 0.597, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8775, predictive_accuracy: 0.8787, prior_entropy: 0.9223, recall: 0.8787, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.5309, kappa: -0.004, kb_relative_information_score: 0.0371, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5306, predictive_accuracy: 0.6578, prior_entropy: 0.9223, recall: 0.6578, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8524, kappa: 0.6667, kb_relative_information_score: 0.4895, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8522, predictive_accuracy: 0.854, prior_entropy: 0.9223, recall: 0.854, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.767, kappa: 0.4643, kb_relative_information_score: 0.3186, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7952, predictive_accuracy: 0.7867, prior_entropy: 0.9223, recall: 0.7867, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.872, kappa: 0.712, kb_relative_information_score: 0.5621, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8718, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.5962, kappa: 0.1097, kb_relative_information_score: 0.1228, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6991, predictive_accuracy: 0.6853, prior_entropy: 0.9223, recall: 0.6853, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8177, kappa: 0.5996, kb_relative_information_score: 0.4384, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8235, predictive_accuracy: 0.8152, prior_entropy: 0.9223, recall: 0.8152, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 0.5392, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8755, kappa: 0.719, kb_relative_information_score: 0.5382, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8755, predictive_accuracy: 0.8768, prior_entropy: 0.9223, recall: 0.8768, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8813, kappa: 0.7323, kb_relative_information_score: 0.6167, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8814, predictive_accuracy: 0.8825, prior_entropy: 0.9223, recall: 0.8825, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.6606, kappa: 0.2362, kb_relative_information_score: 0.1547, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7498, predictive_accuracy: 0.7204, prior_entropy: 0.9223, recall: 0.7204, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8452, kappa: 0.6498, kb_relative_information_score: 0.4907, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8453, predictive_accuracy: 0.8474, prior_entropy: 0.9223, recall: 0.8474, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8527, kappa: 0.6653, kb_relative_information_score: 0.4842, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8546, predictive_accuracy: 0.8559, prior_entropy: 0.9223, recall: 0.8559, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.814, kappa: 0.5882, kb_relative_information_score: 0.4527, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8168, predictive_accuracy: 0.8123, prior_entropy: 0.9223, recall: 0.8123, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8211, kappa: 0.5921, kb_relative_information_score: 0.4499, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8244, predictive_accuracy: 0.8265, prior_entropy: 0.9223, recall: 0.8265, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8094, kappa: 0.5702, kb_relative_information_score: 0.4636, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8087, predictive_accuracy: 0.8114, prior_entropy: 0.9223, recall: 0.8114, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.875, kappa: 0.7186, kb_relative_information_score: 0.5597, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8747, predictive_accuracy: 0.8758, prior_entropy: 0.9223, recall: 0.8758, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7241, kappa: 0.3792, kb_relative_information_score: 0.2448, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7227, predictive_accuracy: 0.7261, prior_entropy: 0.9223, recall: 0.7261, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8691, kappa: 0.7053, kb_relative_information_score: 0.5679, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8689, predictive_accuracy: 0.8701, prior_entropy: 0.9223, recall: 0.8701, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8367, kappa: 0.631, kb_relative_information_score: 0.4926, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8365, predictive_accuracy: 0.8389, prior_entropy: 0.9223, recall: 0.8389, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8086, kappa: 0.5647, kb_relative_information_score: 0.4664, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8097, predictive_accuracy: 0.8133, prior_entropy: 0.9223, recall: 0.8133, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8659, kappa: 0.6974, kb_relative_information_score: 0.5509, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8658, predictive_accuracy: 0.8673, prior_entropy: 0.9223, recall: 0.8673, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8842, kappa: 0.739, kb_relative_information_score: 0.6147, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8843, predictive_accuracy: 0.8853, prior_entropy: 0.9223, recall: 0.8853, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8775, kappa: 0.7237, kb_relative_information_score: 0.6008, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8775, predictive_accuracy: 0.8787, prior_entropy: 0.9223, recall: 0.8787, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8472, kappa: 0.6561, kb_relative_information_score: 0.5344, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8468, predictive_accuracy: 0.8483, prior_entropy: 0.9223, recall: 0.8483, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8633, kappa: 0.692, kb_relative_information_score: 0.5654, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.863, predictive_accuracy: 0.8645, prior_entropy: 0.9223, recall: 0.8645, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8722, kappa: 0.7128, kb_relative_information_score: 0.5469, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8719, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8621, kappa: 0.6876, kb_relative_information_score: 0.5936, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8631, predictive_accuracy: 0.8645, prior_entropy: 0.9223, recall: 0.8645, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 0.5237, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8502, predictive_accuracy: 0.8521, prior_entropy: 0.9223, recall: 0.8521, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.876, kappa: 0.721, kb_relative_information_score: 0.5841, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8757, predictive_accuracy: 0.8768, prior_entropy: 0.9223, recall: 0.8768, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8138, kappa: 0.5877, kb_relative_information_score: 0.4545, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8164, predictive_accuracy: 0.8123, prior_entropy: 0.9223, recall: 0.8123, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6148, kappa: 0.1483, kb_relative_information_score: 0.1007, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7357, predictive_accuracy: 0.6976, prior_entropy: 0.9223, recall: 0.6976, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9527,

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

OpenML APIs