OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7846, kappa: 0.5629, kb_relative_information_score: 0.4503, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.494, weighted_recall: 0.7855, number_of_instances: 690, precision: 0.7851, predictive_accuracy: 0.7855, prior_entropy: 0.9912, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7886, unweighted_recall: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8494, kappa: 0.6954, kb_relative_information_score: 0.6101, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.494, weighted_recall: 0.8493, number_of_instances: 690, precision: 0.8497, predictive_accuracy: 0.8493, prior_entropy: 0.9912, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, unweighted_recall: 0.8484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 0.649, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.494, weighted_recall: 0.8478, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9912, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6845, unweighted_recall: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8611, kappa: 0.7194, kb_relative_information_score: 0.613, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6763, unweighted_recall: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7915, kappa: 0.5783, kb_relative_information_score: 0.4918, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.494, weighted_recall: 0.7913, number_of_instances: 690, precision: 0.7918, predictive_accuracy: 0.7913, prior_entropy: 0.9912, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8403, unweighted_recall: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8304, kappa: 0.6566, kb_relative_information_score: 0.6346, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.494, weighted_recall: 0.8304, number_of_instances: 690, precision: 0.8304, predictive_accuracy: 0.8304, prior_entropy: 0.9912, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7857, unweighted_recall: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8262, kappa: 0.6484, kb_relative_information_score: 0.6313, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.494, weighted_recall: 0.8261, number_of_instances: 690, precision: 0.8264, predictive_accuracy: 0.8261, prior_entropy: 0.9912, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7291, unweighted_recall: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8276, kappa: 0.6509, kb_relative_information_score: 0.5816, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.494, weighted_recall: 0.8275, number_of_instances: 690, precision: 0.8276, predictive_accuracy: 0.8275, prior_entropy: 0.9912, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6951, unweighted_recall: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8378, kappa: 0.672, kb_relative_information_score: 0.6354, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.494, weighted_recall: 0.8377, number_of_instances: 690, precision: 0.8381, predictive_accuracy: 0.8377, prior_entropy: 0.9912, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7111, unweighted_recall: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7846, kappa: 0.5655, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.494, weighted_recall: 0.7841, number_of_instances: 690, precision: 0.7862, predictive_accuracy: 0.7841, prior_entropy: 0.9912, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7618, unweighted_recall: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8477, kappa: 0.6916, kb_relative_information_score: 0.6467, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.494, weighted_recall: 0.8478, number_of_instances: 690, precision: 0.8477, predictive_accuracy: 0.8478, prior_entropy: 0.9912, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7039, unweighted_recall: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8453, kappa: 0.6882, kb_relative_information_score: 0.5796, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.494, weighted_recall: 0.8449, number_of_instances: 690, precision: 0.8473, predictive_accuracy: 0.8449, prior_entropy: 0.9912, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6879, unweighted_recall: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8552, kappa: 0.7072, kb_relative_information_score: 0.6092, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.494, weighted_recall: 0.8551, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9912, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6644, unweighted_recall: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8392, kappa: 0.6746, kb_relative_information_score: 0.6476, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.494, weighted_recall: 0.8391, number_of_instances: 690, precision: 0.8393, predictive_accuracy: 0.8391, prior_entropy: 0.9912, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6902, unweighted_recall: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 0.6345, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.494, weighted_recall: 0.8623, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9912, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6646, unweighted_recall: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 0.5913, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.494, weighted_recall: 0.8522, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8522, prior_entropy: 0.9912, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6644, unweighted_recall: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8134, kappa: 0.6231, kb_relative_information_score: 0.5364, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.494, weighted_recall: 0.813, number_of_instances: 690, precision: 0.8143, predictive_accuracy: 0.813, prior_entropy: 0.9912, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7707, unweighted_recall: 0.8128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, kb_relative_information_score: 0.0326, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.494, weighted_recall: 0.5551, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9912, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9854, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8665, kappa: 0.7294, kb_relative_information_score: 0.648, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.494, weighted_recall: 0.8667, number_of_instances: 690, precision: 0.8665, predictive_accuracy: 0.8667, prior_entropy: 0.9912, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6495, unweighted_recall: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 0.6588, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6486, unweighted_recall: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.832, kappa: 0.6603, kb_relative_information_score: 0.5896, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.494, weighted_recall: 0.8319, number_of_instances: 690, precision: 0.8323, predictive_accuracy: 0.8319, prior_entropy: 0.9912, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6809, unweighted_recall: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8396, kappa: 0.6777, kb_relative_information_score: 0.5895, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.494, weighted_recall: 0.8391, number_of_instances: 690, precision: 0.8439, predictive_accuracy: 0.8391, prior_entropy: 0.9912, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6697, unweighted_recall: 0.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.827, kappa: 0.6491, kb_relative_information_score: 0.6426, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.494, weighted_recall: 0.8275, number_of_instances: 690, precision: 0.8273, predictive_accuracy: 0.8275, prior_entropy: 0.9912, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7875, unweighted_recall: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8377, kappa: 0.6714, kb_relative_information_score: 0.6549, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.494, weighted_recall: 0.8377, number_of_instances: 690, precision: 0.8377, predictive_accuracy: 0.8377, prior_entropy: 0.9912, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7347, unweighted_recall: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8173, kappa: 0.6298, kb_relative_information_score: 0.552, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.494, weighted_recall: 0.8174, number_of_instances: 690, precision: 0.8172, predictive_accuracy: 0.8174, prior_entropy: 0.9912, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7252, unweighted_recall: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7901, kappa: 0.5739, kb_relative_information_score: 0.4555, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.494, weighted_recall: 0.7913, number_of_instances: 690, precision: 0.7912, predictive_accuracy: 0.7913, prior_entropy: 0.9912, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7687, unweighted_recall: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8205, kappa: 0.6369, kb_relative_information_score: 0.5996, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.494, weighted_recall: 0.8203, number_of_instances: 690, precision: 0.8207, predictive_accuracy: 0.8203, prior_entropy: 0.9912, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7219, unweighted_recall: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8289, kappa: 0.6533, kb_relative_information_score: 0.6261, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.494, weighted_recall: 0.829, number_of_instances: 690, precision: 0.8288, predictive_accuracy: 0.829, prior_entropy: 0.9912, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7426, unweighted_recall: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8494, kappa: 0.6956, kb_relative_information_score: 0.5854, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.494, weighted_recall: 0.8493, number_of_instances: 690, precision: 0.8499, predictive_accuracy: 0.8493, prior_entropy: 0.9912, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6893, unweighted_recall: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8334, kappa: 0.6627, kb_relative_information_score: 0.5662, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.494, weighted_recall: 0.8333, number_of_instances: 690, precision: 0.8334, predictive_accuracy: 0.8333, prior_entropy: 0.9912, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7224, unweighted_recall: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8539, kappa: 0.7049, kb_relative_information_score: 0.6117, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.494, weighted_recall: 0.8536, number_of_instances: 690, precision: 0.8547, predictive_accuracy: 0.8536, prior_entropy: 0.9912, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6988, unweighted_recall: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8507, kappa: 0.6977, kb_relative_information_score: 0.6003, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.494, weighted_recall: 0.8507, number_of_instances: 690, precision: 0.8507, predictive_accuracy: 0.8507, prior_entropy: 0.9912, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6888, unweighted_recall: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8493, kappa: 0.695, kb_relative_information_score: 0.628, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.494, weighted_recall: 0.8493, number_of_instances: 690, precision: 0.8494, predictive_accuracy: 0.8493, prior_entropy: 0.9912, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6631, unweighted_recall: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8402, kappa: 0.6758, kb_relative_information_score: 0.6325, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, weighted_recall: 0.8406, number_of_instances: 690, precision: 0.8404, predictive_accuracy: 0.8406, prior_entropy: 0.9912, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6921, unweighted_recall: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.852, kappa: 0.6999, kb_relative_information_score: 0.6169, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.494, weighted_recall: 0.8522, number_of_instances: 690, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9912, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6596, unweighted_recall: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.868, kappa: 0.7326, kb_relative_information_score: 0.6299, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.494, weighted_recall: 0.8681, number_of_instances: 690, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9912, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6676, unweighted_recall: 0.8657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8609, kappa: 0.7185, kb_relative_information_score: 0.6384, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.861, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6464, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8176, kappa: 0.631, kb_relative_information_score: 0.5306, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.494, weighted_recall: 0.8174, number_of_instances: 690, precision: 0.8178, predictive_accuracy: 0.8174, prior_entropy: 0.9912, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7406, unweighted_recall: 0.8161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8478, kappa: 0.6918, kb_relative_information_score: 0.6635, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.494, weighted_recall: 0.8478, number_of_instances: 690, precision: 0.8478, predictive_accuracy: 0.8478, prior_entropy: 0.9912, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7196, unweighted_recall: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.708, kappa: 0.4071, kb_relative_information_score: 0.3153, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.494, weighted_recall: 0.7116, number_of_instances: 690, precision: 0.7112, predictive_accuracy: 0.7116, prior_entropy: 0.9912, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8796, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7501, kappa: 0.4927, kb_relative_information_score: 0.4023, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.494, weighted_recall: 0.7536, number_of_instances: 690, precision: 0.7554, predictive_accuracy: 0.7536, prior_entropy: 0.9912, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8355, unweighted_recall: 0.7422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8461, kappa: 0.688, kb_relative_information_score: 0.6078, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.494, weighted_recall: 0.8464, number_of_instances: 690, precision: 0.8462, predictive_accuracy: 0.8464, prior_entropy: 0.9912, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6776, unweighted_recall: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8121, kappa: 0.622, kb_relative_information_score: 0.4727, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.494, weighted_recall: 0.8116, number_of_instances: 690, precision: 0.8153, predictive_accuracy: 0.8116, prior_entropy: 0.9912, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7534, unweighted_recall: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8563, kappa: 0.7089, kb_relative_information_score: 0.6161, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8563, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6636, unweighted_recall: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8433, kappa: 0.6825, kb_relative_information_score: 0.6337, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.494, weighted_recall: 0.8435, number_of_instances: 690, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 0.9912, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6758, unweighted_recall: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 0.6179, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.494, weighted_recall: 0.8594, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9912, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6705, unweighted_recall: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 0.568, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.494, weighted_recall: 0.8449, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9912, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6981, unweighted_recall: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.858, kappa: 0.7125, kb_relative_information_score: 0.612, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.494, weighted_recall: 0.858, number_of_instances: 690, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9912, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6989, unweighted_recall: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, weighted_recall: 0.5551, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9912, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8075, kappa: 0.6111, kb_relative_information_score: 0.5638, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.494, weighted_recall: 0.8072, number_of_instances: 690, precision: 0.8082, predictive_accuracy: 0.8072, prior_entropy: 0.9912, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7418, unweighted_recall: 0.8067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8539, kappa: 0.7053, kb_relative_information_score: 0.6058, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.494, weighted_recall: 0.8536, number_of_instances: 690, precision: 0.8553, predictive_accuracy: 0.8536, prior_entropy: 0.9912, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6712, unweighted_recall: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8723, kappa: 0.7413, kb_relative_information_score: 0.637, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.494, weighted_recall: 0.8725, number_of_instances: 690, precision: 0.8723, predictive_accuracy: 0.8725, prior_entropy: 0.9912, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6449, unweighted_recall: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7616, kappa: 0.5163, kb_relative_information_score: 0.4339, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.494, weighted_recall: 0.7623, number_of_instances: 690, precision: 0.7617, predictive_accuracy: 0.7623, prior_entropy: 0.9912, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8469, unweighted_recall: 0.7568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8438, kappa: 0.6847, kb_relative_information_score: 0.6373, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, weighted_recall: 0.8435, number_of_instances: 690, precision: 0.845, predictive_accuracy: 0.8435, prior_entropy: 0.9912, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.68, unweighted_recall: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8581, kappa: 0.713, kb_relative_information_score: 0.6352, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.494, weighted_recall: 0.858, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.858, prior_entropy: 0.9912, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6648, unweighted_recall: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8434, kappa: 0.6827, kb_relative_information_score: 0.6315, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.494, weighted_recall: 0.8435, number_of_instances: 690, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 0.9912, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7158, unweighted_recall: 0.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8506, kappa: 0.6973, kb_relative_information_score: 0.6232, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.494, weighted_recall: 0.8507, number_of_instances: 690, precision: 0.8506, predictive_accuracy: 0.8507, prior_entropy: 0.9912, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6718, unweighted_recall: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.845, kappa: 0.6853, kb_relative_information_score: -0.7092, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.494, weighted_recall: 0.8464, number_of_instances: 690, precision: 0.8485, predictive_accuracy: 0.8464, prior_entropy: 0.9912, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5748, root_relative_squared_error: 1.1565, unweighted_recall: 0.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8611, kappa: 0.7192, kb_relative_information_score: 453.06, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8616, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.867, kappa: 0.732, kb_relative_information_score: 413.7539, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8691, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.0915, 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: 1.001, 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: 0.8924, kb_relative_information_score: 30.8986, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, kb_relative_information_score: 30.9723, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.279, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9986, 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: -4.2912, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0039, 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: 10.1545, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.5736, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.0844, 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: 1.001, 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: 0.9437, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.6565, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0024, 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: 0.4938, kb_relative_information_score: -6.3649, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.6312, 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: 1.0015, 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: 0.9155, f_measure: 0.8512, kappa: 0.6981, kb_relative_information_score: 91.5968, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -4.3694, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.004, 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: 0.8785, kb_relative_information_score: -1.2969, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.731, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 6.5607, 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: 0.9924, 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: 0.8201, kb_relative_information_score: -15.0768, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.6898, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, kb_relative_information_score: 1.2782, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.495, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.1604, 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: 0.5, kb_relative_information_score: -3.8036, 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: 1.0035, 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: 0.9232, f_measure: 0.8683, kappa: 0.7339, kb_relative_information_score: 165.9698, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.869, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.4681, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.6454, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.01, 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: 0.8631, kb_relative_information_score: -28.0798, mean_absolute_error: 0.5081, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0287, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.7147, 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: 1.0016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.0008, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.3083, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9974, 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: 2.2499, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9975, 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: 2.5495, 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: 0.9971, 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: 0.9179, kb_relative_information_score: 32.1693, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5422, kappa: 0.1563, kb_relative_information_score: 3.6039, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6744, predictive_accuracy: 0.6145, prior_entropy: 0.9913, recall: 0.6145, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.7038, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0006, 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: 0.903, kb_relative_information_score: 7.1919, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.3121, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.9716, mean_absolute_error: 0.5047, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0218, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.1834, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4375, mean_absolute_error: 0.4932, 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: 0.4938, kb_relative_information_score: -1.1364, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs