Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 142196 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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142196 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8236, kappa: 0.6032, kb_relative_information_score: 588.7451, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8229, predictive_accuracy: 0.8246, prior_entropy: 0.9226, recall: 0.8246, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8079, kappa: 0.5659, kb_relative_information_score: 515.3359, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8073, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8059, kappa: 0.5627, kb_relative_information_score: 510.8225, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8051, predictive_accuracy: 0.8076, prior_entropy: 0.9226, recall: 0.8076, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8169, kappa: 0.5885, kb_relative_information_score: 580.0833, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8163, predictive_accuracy: 0.818, prior_entropy: 0.9226, recall: 0.818, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8112, kappa: 0.5773, kb_relative_information_score: 550.0811, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.811, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8178, kappa: 0.5903, kb_relative_information_score: 575.809, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8172, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.8091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.804, kappa: 0.5621, kb_relative_information_score: 568.5481, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8042, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.807, kappa: 0.5652, kb_relative_information_score: 517.6561, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8062, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7965, kappa: 0.5419, kb_relative_information_score: 511.8249, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7956, predictive_accuracy: 0.7981, prior_entropy: 0.9226, recall: 0.7981, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.8001, kappa: 0.553, kb_relative_information_score: 553.3024, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 0.9226, recall: 0.8, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8015, kappa: 0.5516, kb_relative_information_score: 511.056, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8006, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8088, kappa: 0.5677, kb_relative_information_score: 518.4566, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8082, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8024, kappa: 0.5554, kb_relative_information_score: 540.9234, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8016, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8048, kappa: 0.5615, kb_relative_information_score: 526.3572, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8041, predictive_accuracy: 0.8057, prior_entropy: 0.9226, recall: 0.8057, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.815, kappa: 0.5858, kb_relative_information_score: 524.2544, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8148, predictive_accuracy: 0.8152, prior_entropy: 0.9226, recall: 0.8152, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7964, kappa: 0.5432, kb_relative_information_score: 505.3469, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7959, predictive_accuracy: 0.7972, prior_entropy: 0.9226, recall: 0.7972, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.809, kappa: 0.5701, kb_relative_information_score: 525.6882, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8082, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8053, kappa: 0.5603, kb_relative_information_score: 510.4161, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8045, predictive_accuracy: 0.8076, prior_entropy: 0.9226, recall: 0.8076, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8255, kappa: 0.6094, kb_relative_information_score: 588.371, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8254, predictive_accuracy: 0.8256, prior_entropy: 0.9226, recall: 0.8256, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8065, kappa: 0.5652, kb_relative_information_score: 528.2688, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8058, predictive_accuracy: 0.8076, prior_entropy: 0.9226, recall: 0.8076, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8104, kappa: 0.576, kb_relative_information_score: 553.5738, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8104, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8178, kappa: 0.5903, kb_relative_information_score: 563.8403, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8172, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.808, kappa: 0.5694, kb_relative_information_score: 572.4406, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8075, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.39, root_relative_squared_error: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8062, kappa: 0.5621, kb_relative_information_score: 509.1828, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8054, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8083, kappa: 0.5689, kb_relative_information_score: 521.5209, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8076, predictive_accuracy: 0.8095, prior_entropy: 0.9226, recall: 0.8095, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8186, kappa: 0.5916, kb_relative_information_score: 564.5058, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8179, predictive_accuracy: 0.8199, prior_entropy: 0.9226, recall: 0.8199, relative_absolute_error: 0.4565, 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: 0.8464, f_measure: 0.8099, kappa: 0.5737, kb_relative_information_score: 571.8827, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8095, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8112, kappa: 0.5773, kb_relative_information_score: 548.0944, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.811, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8045, kappa: 0.5603, kb_relative_information_score: 509.738, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8037, predictive_accuracy: 0.8057, prior_entropy: 0.9226, recall: 0.8057, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8062, kappa: 0.5621, kb_relative_information_score: 511.7397, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8054, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8042, kappa: 0.5591, kb_relative_information_score: 542.0588, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8033, predictive_accuracy: 0.8057, prior_entropy: 0.9226, recall: 0.8057, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.8225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8083, kappa: 0.5706, kb_relative_information_score: 534.7062, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.808, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8103, kappa: 0.5738, kb_relative_information_score: 524.2937, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8097, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8237, kappa: 0.6037, kb_relative_information_score: 578.7346, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8231, predictive_accuracy: 0.8246, prior_entropy: 0.9226, recall: 0.8246, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.8132, kappa: 0.5843, kb_relative_information_score: 587.236, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8143, predictive_accuracy: 0.8123, prior_entropy: 0.9226, recall: 0.8123, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.804, kappa: 0.5584, kb_relative_information_score: 542.7821, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8032, predictive_accuracy: 0.8057, prior_entropy: 0.9226, recall: 0.8057, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8212, kappa: 0.6007, kb_relative_information_score: 582.2251, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8215, predictive_accuracy: 0.8209, prior_entropy: 0.9226, recall: 0.8209, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8068, kappa: 0.5646, kb_relative_information_score: 509.7115, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.806, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.8051, kappa: 0.5627, kb_relative_information_score: 572.1022, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8046, predictive_accuracy: 0.8057, prior_entropy: 0.9226, recall: 0.8057, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8114, kappa: 0.5762, kb_relative_information_score: 522.8622, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8107, predictive_accuracy: 0.8123, prior_entropy: 0.9226, recall: 0.8123, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8051, kappa: 0.5609, kb_relative_information_score: 509.8934, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8042, predictive_accuracy: 0.8066, prior_entropy: 0.9226, recall: 0.8066, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.804, kappa: 0.5584, kb_relative_information_score: 510.2166, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8032, predictive_accuracy: 0.8057, prior_entropy: 0.9226, recall: 0.8057, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8104, kappa: 0.5709, kb_relative_information_score: 502.0204, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.81, predictive_accuracy: 0.8133, prior_entropy: 0.9226, recall: 0.8133, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7996, kappa: 0.5492, kb_relative_information_score: 513.6725, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7988, predictive_accuracy: 0.8009, prior_entropy: 0.9226, recall: 0.8009, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7996, kappa: 0.5492, kb_relative_information_score: 516.7141, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7988, predictive_accuracy: 0.8009, prior_entropy: 0.9226, recall: 0.8009, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8151, kappa: 0.5885, kb_relative_information_score: 581.3707, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8162, predictive_accuracy: 0.8142, prior_entropy: 0.9226, recall: 0.8142, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8064, kappa: 0.5646, kb_relative_information_score: 515.0432, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8056, predictive_accuracy: 0.8076, prior_entropy: 0.9226, recall: 0.8076, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8084, kappa: 0.5712, kb_relative_information_score: 535.5007, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8083, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.82, kappa: 0.5957, kb_relative_information_score: 581.3457, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8194, predictive_accuracy: 0.8209, prior_entropy: 0.9226, recall: 0.8209, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8068, kappa: 0.5646, kb_relative_information_score: 518.8477, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.806, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7996, kappa: 0.5492, kb_relative_information_score: 518.6034, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7988, predictive_accuracy: 0.8009, prior_entropy: 0.9226, recall: 0.8009, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8119, kappa: 0.5808, kb_relative_information_score: 570.2667, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8126, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8125, kappa: 0.5792, kb_relative_information_score: 558.0198, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.812, predictive_accuracy: 0.8133, prior_entropy: 0.9226, recall: 0.8133, relative_absolute_error: 0.463, 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: 0.873, f_measure: 0.8102, kappa: 0.5732, kb_relative_information_score: 525.5296, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8095, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.8075, kappa: 0.5694, kb_relative_information_score: 568.6364, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8075, predictive_accuracy: 0.8076, prior_entropy: 0.9226, recall: 0.8076, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8027, kappa: 0.5547, kb_relative_information_score: 496.3839, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8018, predictive_accuracy: 0.8047, prior_entropy: 0.9226, recall: 0.8047, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7991, kappa: 0.5506, kb_relative_information_score: 551.9715, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7991, predictive_accuracy: 0.7991, prior_entropy: 0.9226, recall: 0.7991, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8243, kappa: 0.6045, kb_relative_information_score: 588.6479, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8237, predictive_accuracy: 0.8256, prior_entropy: 0.9226, recall: 0.8256, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8023, kappa: 0.5548, kb_relative_information_score: 516.9211, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8014, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8034, kappa: 0.5597, kb_relative_information_score: 561.7887, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8031, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.8106, kappa: 0.5749, kb_relative_information_score: 524.3308, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8101, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.8007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8083, kappa: 0.5706, kb_relative_information_score: 537.577, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.808, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8264, kappa: 0.6113, kb_relative_information_score: 590.1954, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8262, predictive_accuracy: 0.8265, prior_entropy: 0.9226, recall: 0.8265, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8093, kappa: 0.5713, kb_relative_information_score: 522.3765, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8086, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.813, kappa: 0.5793, kb_relative_information_score: 570.3154, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8123, predictive_accuracy: 0.8142, prior_entropy: 0.9226, recall: 0.8142, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8062, kappa: 0.5658, kb_relative_information_score: 540.0283, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8059, predictive_accuracy: 0.8066, prior_entropy: 0.9226, recall: 0.8066, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.8098, kappa: 0.5714, kb_relative_information_score: 523.2963, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.809, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8249, kappa: 0.6092, kb_relative_information_score: 587.9173, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8253, predictive_accuracy: 0.8246, prior_entropy: 0.9226, recall: 0.8246, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8015, kappa: 0.5516, kb_relative_information_score: 509.4031, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8006, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.807, kappa: 0.567, kb_relative_information_score: 543.908, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8065, predictive_accuracy: 0.8076, prior_entropy: 0.9226, recall: 0.8076, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8037, kappa: 0.5591, kb_relative_information_score: 524.4522, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8031, predictive_accuracy: 0.8047, prior_entropy: 0.9226, recall: 0.8047, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8093, kappa: 0.573, kb_relative_information_score: 544.3638, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8091, predictive_accuracy: 0.8095, prior_entropy: 0.9226, recall: 0.8095, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.8128, kappa: 0.5804, kb_relative_information_score: 545.0023, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8124, predictive_accuracy: 0.8133, prior_entropy: 0.9226, recall: 0.8133, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8104, kappa: 0.5709, kb_relative_information_score: 508.0729, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.81, predictive_accuracy: 0.8133, prior_entropy: 0.9226, recall: 0.8133, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8099, kappa: 0.5737, kb_relative_information_score: 573.8751, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8095, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8152, kappa: 0.5848, kb_relative_information_score: 574.6795, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8146, predictive_accuracy: 0.8161, prior_entropy: 0.9226, recall: 0.8161, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8047, kappa: 0.5597, kb_relative_information_score: 516.8086, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8039, predictive_accuracy: 0.8066, prior_entropy: 0.9226, recall: 0.8066, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8045, kappa: 0.5603, kb_relative_information_score: 511.4797, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8037, predictive_accuracy: 0.8057, prior_entropy: 0.9226, recall: 0.8057, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.8097, kappa: 0.5731, kb_relative_information_score: 561.9308, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8092, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8137, kappa: 0.5822, kb_relative_information_score: 581.1082, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8133, predictive_accuracy: 0.8142, prior_entropy: 0.9226, recall: 0.8142, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8208, kappa: 0.597, kb_relative_information_score: 585.9661, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8201, predictive_accuracy: 0.8218, prior_entropy: 0.9226, recall: 0.8218, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8125, kappa: 0.5809, kb_relative_information_score: 581.7345, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8126, predictive_accuracy: 0.8123, prior_entropy: 0.9226, recall: 0.8123, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8053, kappa: 0.559, kb_relative_information_score: 498.6884, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8049, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8118, kappa: 0.5763, kb_relative_information_score: 566.5071, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8111, predictive_accuracy: 0.8133, prior_entropy: 0.9226, recall: 0.8133, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8072, kappa: 0.5634, kb_relative_information_score: 501.1095, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8069, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8177, kappa: 0.5897, kb_relative_information_score: 569.6295, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.817, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8177, kappa: 0.5897, kb_relative_information_score: 558.3266, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.817, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8009, kappa: 0.551, kb_relative_information_score: 556.2996, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8, predictive_accuracy: 0.8028, prior_entropy: 0.9226, recall: 0.8028, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.8084, kappa: 0.5712, kb_relative_information_score: 556.2559, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8083, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8115, kappa: 0.5751, kb_relative_information_score: 582.6444, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8107, predictive_accuracy: 0.8133, prior_entropy: 0.9226, recall: 0.8133, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8057, kappa: 0.5633, kb_relative_information_score: 524.4794, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.805, predictive_accuracy: 0.8066, prior_entropy: 0.9226, recall: 0.8066, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.829, kappa: 0.615, kb_relative_information_score: 599.3228, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8284, predictive_accuracy: 0.8303, prior_entropy: 0.9226, recall: 0.8303, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8092, kappa: 0.5707, kb_relative_information_score: 522.8373, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8084, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.8071, kappa: 0.5658, kb_relative_information_score: 514.5785, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8063, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8041, kappa: 0.5572, kb_relative_information_score: 512.586, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8034, predictive_accuracy: 0.8066, prior_entropy: 0.9226, recall: 0.8066, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8011, kappa: 0.5517, kb_relative_information_score: 514.053, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8002, predictive_accuracy: 0.8028, prior_entropy: 0.9226, recall: 0.8028, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8096, kappa: 0.5725, kb_relative_information_score: 526.424, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.809, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7989, kappa: 0.548, kb_relative_information_score: 509.2816, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7982, predictive_accuracy: 0.8, prior_entropy: 0.9226, recall: 0.8, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8061, kappa: 0.5634, kb_relative_information_score: 512.976, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8053, predictive_accuracy: 0.8076, prior_entropy: 0.9226, recall: 0.8076, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8015, kappa: 0.5516, kb_relative_information_score: 511.6847, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8006, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7819,

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