Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 203936 runs submitted
0 likes downloaded by 2 people , 3 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14
Issue #Downvotes for this reason By


Metric:

203936 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: 0.5, kb_relative_information_score: -18.8216, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.5826, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -11.0154, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 32.4482, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.7976, kappa: 0.5924, kb_relative_information_score: 246.3256, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8001, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8664, kappa: 0.729, kb_relative_information_score: 312.0063, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.9915, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8653, kappa: 0.7276, kb_relative_information_score: 416.6296, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8496, kappa: 0.6968, kb_relative_information_score: 409.3033, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8514, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.3307, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8393, kappa: 0.6748, kb_relative_information_score: 391.5782, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8395, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.854, kappa: 0.7083, kb_relative_information_score: 336.9886, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8631, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 433.0513, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8627, kappa: 0.7235, kb_relative_information_score: 383.3883, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 119.9107, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8318, kappa: 0.6592, kb_relative_information_score: 429.0111, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8317, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8526, kappa: 0.7045, kb_relative_information_score: 325.3346, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8588, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7319, kappa: 0.4568, kb_relative_information_score: 222.2885, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7418, predictive_accuracy: 0.7377, prior_entropy: 0.9913, recall: 0.7377, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8439, kappa: 0.6866, kb_relative_information_score: 357.9067, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8485, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 429.944, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.6183, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.0243, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.9475, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.139, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5805, kappa: 0.1529, kb_relative_information_score: 99.7418, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5817, predictive_accuracy: 0.5797, prior_entropy: 0.9913, recall: 0.5797, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6483, root_relative_squared_error: 1.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.5165, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8626, kappa: 0.723, kb_relative_information_score: 364.2509, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8643, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8308, kappa: 0.6586, kb_relative_information_score: 258.855, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8322, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8517, kappa: 0.6992, kb_relative_information_score: 308.2611, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8522, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -80.0529, mean_absolute_error: 0.546, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1054, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.686, root_relative_squared_error: 1.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.0764, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.9562, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8613, kappa: 0.7224, kb_relative_information_score: 368.8674, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8693, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 3.7542, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 423.3894, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.9642, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.5704, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.4926, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8496, kappa: 0.6966, kb_relative_information_score: 381.6636, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8511, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.4274, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 202.7432, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.9459, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -5.9896, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8208, kappa: 0.639, kb_relative_information_score: 118.8178, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8232, predictive_accuracy: 0.8203, prior_entropy: 0.9913, recall: 0.8203, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 3.5351, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.785, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -4.9315, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.5361, kappa: 0.1414, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5969, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -31.3201, mean_absolute_error: 0.51, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0325, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.5304, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -5.3707, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.4582, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.858, kappa: 0.7126, kb_relative_information_score: 429.9114, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.9652, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.7311, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0238, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.1025, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.6674, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.815, kappa: 0.6273, kb_relative_information_score: 417.4973, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8174, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.3249, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 11.8511, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 406.6973, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8656, kappa: 0.7298, kb_relative_information_score: 411.8682, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8561, kappa: 0.7081, kb_relative_information_score: 261.281, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8411, kappa: 0.6774, kb_relative_information_score: 268.0906, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8428, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8235, kappa: 0.6439, kb_relative_information_score: 405.071, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8248, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.836, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.868, kappa: 0.7327, kb_relative_information_score: 427.268, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.9884, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.7112, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8535, kappa: 0.7032, kb_relative_information_score: 430.2847, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.4505, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.8136, kappa: 0.6255, kb_relative_information_score: 255.9427, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8179, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.5855, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7513, kappa: 0.4986, kb_relative_information_score: 221.9447, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7532, predictive_accuracy: 0.7507, prior_entropy: 0.9913, recall: 0.7507, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.4736, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8665, kappa: 0.7295, kb_relative_information_score: 377.1951, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8665, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.4608, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.1499, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4497, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8137, kappa: 0.622, kb_relative_information_score: 387.427, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8144, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.848, kappa: 0.6913, kb_relative_information_score: 270.3643, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8514, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.0972, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8627, kappa: 0.7249, kb_relative_information_score: 387.9634, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8476, kappa: 0.6912, kb_relative_information_score: 347.4316, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.3161, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.0844, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8634, kappa: 0.7229, kb_relative_information_score: 420.8381, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8638, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.2645, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.01, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.5846, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.106, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8612, kappa: 0.7201, kb_relative_information_score: 405.3161, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8396, kappa: 0.6771, kb_relative_information_score: 268.9542, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8426, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.6424, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8684, kappa: 0.7345, kb_relative_information_score: 384.9393, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 82.2711, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.2313, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0014,

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