OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 runs submitted
0 likes downloaded by 8 people , 10 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

131682 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7567, kappa: 0.4623, kb_relative_information_score: 221.7865, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.7344, kappa: 0.404, kb_relative_information_score: 213.9263, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7357, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7231, kappa: 0.3777, kb_relative_information_score: 157.0567, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7254, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7305, kappa: 0.3963, kb_relative_information_score: 211.9263, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7304, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.7277, kappa: 0.3958, kb_relative_information_score: 249.6932, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7262, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7032, kappa: 0.3421, kb_relative_information_score: 236.5624, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7015, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7394, kappa: 0.4143, kb_relative_information_score: 176.9636, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7429, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 207.7352, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7184, kappa: 0.3748, kb_relative_information_score: 238.6142, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7167, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7462, kappa: 0.4351, kb_relative_information_score: 216.7083, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7449, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.419, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7161, kappa: 0.3701, kb_relative_information_score: 237.1591, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7144, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 202.9581, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7469, kappa: 0.4334, kb_relative_information_score: 210.1396, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 202.9581, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7224, kappa: 0.3861, kb_relative_information_score: 238.0008, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7213, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.707, kappa: 0.3503, kb_relative_information_score: 236.7698, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7053, predictive_accuracy: 0.7096, prior_entropy: 0.9335, recall: 0.7096, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7394, kappa: 0.4143, kb_relative_information_score: 176.9636, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7429, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7083, kappa: 0.3581, kb_relative_information_score: 232.7431, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7083, predictive_accuracy: 0.7083, prior_entropy: 0.9335, recall: 0.7083, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7012, kappa: 0.3409, kb_relative_information_score: 223.449, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7006, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7269, kappa: 0.3926, kb_relative_information_score: 246.2546, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7251, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7198, kappa: 0.3803, kb_relative_information_score: 234.4977, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7186, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7567, kappa: 0.4623, kb_relative_information_score: 221.7865, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7497, kappa: 0.444, kb_relative_information_score: 255.1547, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7503, kappa: 0.4414, kb_relative_information_score: 197.7769, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7502, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 213.529, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7161, kappa: 0.3701, kb_relative_information_score: 252.1323, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7144, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7327, kappa: 0.402, kb_relative_information_score: 222.2471, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7321, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6959, kappa: 0.3294, kb_relative_information_score: 218.4947, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6953, predictive_accuracy: 0.6966, prior_entropy: 0.9335, recall: 0.6966, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.741, kappa: 0.4276, kb_relative_information_score: 249.8742, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7394, kappa: 0.4143, kb_relative_information_score: 176.9636, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7429, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7434, kappa: 0.4259, kb_relative_information_score: 207.4744, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7432, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7032, kappa: 0.3421, kb_relative_information_score: 236.5624, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7015, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7364, kappa: 0.4164, kb_relative_information_score: 248.8243, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7352, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7481, kappa: 0.4359, kb_relative_information_score: 197.7744, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7486, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7379, kappa: 0.4198, kb_relative_information_score: 248.2786, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7367, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7333, kappa: 0.3993, kb_relative_information_score: 168.1679, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7409, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7444, kappa: 0.4267, kb_relative_information_score: 199.3454, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7436, kappa: 0.4246, kb_relative_information_score: 184.251, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7567, kappa: 0.4623, kb_relative_information_score: 221.7865, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7319, kappa: 0.4007, kb_relative_information_score: 224.4834, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.731, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.6971, kappa: 0.3293, kb_relative_information_score: 221.8373, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6955, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7269, kappa: 0.3926, kb_relative_information_score: 246.2546, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7251, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6928, kappa: 0.3272, kb_relative_information_score: 225.0781, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6945, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7269, kappa: 0.3926, kb_relative_information_score: 246.2546, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7251, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7286, kappa: 0.3971, kb_relative_information_score: 243.8898, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.727, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7142, kappa: 0.3697, kb_relative_information_score: 246.2379, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7136, predictive_accuracy: 0.7148, prior_entropy: 0.9335, recall: 0.7148, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7254, kappa: 0.3827, kb_relative_information_score: 159.2597, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7283, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7436, kappa: 0.4246, kb_relative_information_score: 184.251, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.7454, kappa: 0.4299, kb_relative_information_score: 194.433, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7458, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6918, kappa: 0.3226, kb_relative_information_score: 224.4287, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6922, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.1294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7307, kappa: 0.4009, kb_relative_information_score: 234.423, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.729, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7394, kappa: 0.4143, kb_relative_information_score: 176.9636, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7429, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7197, kappa: 0.3733, kb_relative_information_score: 146.2737, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7185, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7156, kappa: 0.3731, kb_relative_information_score: 250.4893, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7152, predictive_accuracy: 0.7161, prior_entropy: 0.9335, recall: 0.7161, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6928, kappa: 0.3272, kb_relative_information_score: 225.0781, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6945, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6872, kappa: 0.311, kb_relative_information_score: 210.9854, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.687, predictive_accuracy: 0.6875, prior_entropy: 0.9335, recall: 0.6875, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.7421, kappa: 0.4211, kb_relative_information_score: 183.0623, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7269, kappa: 0.3926, kb_relative_information_score: 246.2546, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7251, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7301, kappa: 0.4006, kb_relative_information_score: 247.8502, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7285, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7425, kappa: 0.4221, kb_relative_information_score: 198.2664, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.7421, kappa: 0.4211, kb_relative_information_score: 183.0623, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 202.9581, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7161, kappa: 0.3701, kb_relative_information_score: 252.1323, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7144, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6928, kappa: 0.3272, kb_relative_information_score: 225.0781, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6945, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7171, kappa: 0.3765, kb_relative_information_score: 250.9871, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7167, predictive_accuracy: 0.7174, prior_entropy: 0.9335, recall: 0.7174, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7584, kappa: 0.4666, kb_relative_information_score: 232.3043, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7577, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.7099, kappa: 0.3594, kb_relative_information_score: 245.12, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.709, predictive_accuracy: 0.7109, prior_entropy: 0.9335, recall: 0.7109, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7301, kappa: 0.396, kb_relative_information_score: 207.5822, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7294, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7228, kappa: 0.3852, kb_relative_information_score: 242.9451, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7212, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs