Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 9971 Supervised Classification ilpd 122811 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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122811 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.6174, kappa: 0.0393, kb_relative_information_score: 0.0427, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6567, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9623, unweighted_recall: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.5979, kappa: -0.0001, kb_relative_information_score: 0.0336, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.591, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9701, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.613, kappa: 0.0332, kb_relative_information_score: 0.0361, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.669, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9549, unweighted_recall: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.594, kappa: -0.0085, kb_relative_information_score: 0.0309, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.556, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9708, unweighted_recall: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6101, kappa: 0.023, kb_relative_information_score: 0.0434, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6344, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9582, unweighted_recall: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 0.031, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9719, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.6017, kappa: -0.0018, kb_relative_information_score: 0.0375, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6998, number_of_instances: 583, precision: 0.5885, predictive_accuracy: 0.6998, prior_entropy: 0.8641, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9665, unweighted_recall: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.6229, kappa: 0.0465, kb_relative_information_score: 0.0487, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6457, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9646, unweighted_recall: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.5909, kappa: -0.0136, kb_relative_information_score: -0.0024, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.5077, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9994, unweighted_recall: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.6082, kappa: 0.0163, kb_relative_information_score: 0.0444, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6184, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9673, unweighted_recall: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6221, kappa: 0.0412, kb_relative_information_score: 0.0331, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6324, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9771, unweighted_recall: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 0.0279, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9753, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 0.0283, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9732, unweighted_recall: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.5972, kappa: -0.0084, kb_relative_information_score: 0.0026, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7015, number_of_instances: 583, precision: 0.5744, predictive_accuracy: 0.7015, prior_entropy: 0.8641, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.9789, unweighted_recall: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6426, kappa: 0.0886, kb_relative_information_score: 0.0497, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.663, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9616, unweighted_recall: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.5909, kappa: -0.0136, kb_relative_information_score: 0.029, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.5077, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9667, unweighted_recall: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.5966, kappa: 0.0017, kb_relative_information_score: 0.0105, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6048, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9696, unweighted_recall: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.618, kappa: 0.0244, kb_relative_information_score: -0.0231, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6913, number_of_instances: 583, precision: 0.6099, predictive_accuracy: 0.6913, prior_entropy: 0.8641, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0163, unweighted_recall: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 0.0271, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9765, unweighted_recall: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.5074, kappa: 0.106, kb_relative_information_score: -0.4219, mean_absolute_error: 0.5279, mean_prior_absolute_error: 0.4091, weighted_recall: 0.4957, number_of_instances: 583, precision: 0.6654, predictive_accuracy: 0.4957, prior_entropy: 0.8641, relative_absolute_error: 1.2903, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.343, unweighted_recall: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6102, kappa: 0.0284, kb_relative_information_score: 0.0566, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.6713, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9387, unweighted_recall: 0.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5957, kappa: -0.0017, kb_relative_information_score: 0.0336, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5806, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9645, unweighted_recall: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6134, kappa: 0.0259, kb_relative_information_score: 0.0329, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6266, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9764, unweighted_recall: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.5996, kappa: 0.0067, kb_relative_information_score: 0.0125, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6244, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9679, unweighted_recall: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 0.0072, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9735, unweighted_recall: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6624, kappa: 0.1332, kb_relative_information_score: -0.0225, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7015, number_of_instances: 583, precision: 0.6586, predictive_accuracy: 0.7015, prior_entropy: 0.8641, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9748, unweighted_recall: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.5957, kappa: -0.0017, kb_relative_information_score: 0.0313, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5806, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9707, unweighted_recall: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.5979, kappa: -0.0001, kb_relative_information_score: 0.0119, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.591, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9684, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6005, kappa: 0.0101, kb_relative_information_score: 0.0104, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6534, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9695, unweighted_recall: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.6363, kappa: 0.0804, kb_relative_information_score: 0.0351, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7204, number_of_instances: 583, precision: 0.6853, predictive_accuracy: 0.7204, prior_entropy: 0.8641, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.98, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.6536, kappa: 0.1136, kb_relative_information_score: 0.0319, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6844, number_of_instances: 583, precision: 0.644, predictive_accuracy: 0.6844, prior_entropy: 0.8641, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0115, unweighted_recall: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.5979, kappa: -0.0001, kb_relative_information_score: 0.0367, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.591, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9704, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 0.028, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9752, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 0.0314, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9668, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6138, kappa: 0.0312, kb_relative_information_score: 0.0293, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6462, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9732, unweighted_recall: 0.5113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5999, kappa: -0.0083, kb_relative_information_score: -0.0141, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6964, number_of_instances: 583, precision: 0.5798, predictive_accuracy: 0.6964, prior_entropy: 0.8641, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0076, unweighted_recall: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 0.0335, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9684, unweighted_recall: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 0.0265, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9764, unweighted_recall: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6063, kappa: 0.0097, kb_relative_information_score: 0.0437, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6057, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9658, unweighted_recall: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 0.0259, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9778, unweighted_recall: 0.4976,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 0.0357, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9648, unweighted_recall: 0.4976,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.6174, kappa: 0.032, kb_relative_information_score: -0.039, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6274, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9573, unweighted_recall: 0.5119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,

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