Task
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88225 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6296, kappa: 0.3119, kb_relative_information_score: 0.3119, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7178, predictive_accuracy: 0.6559, prior_entropy: 1, recall: 0.6559, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6296, kappa: 0.3119, kb_relative_information_score: 0.3119, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7178, predictive_accuracy: 0.6559, prior_entropy: 1, recall: 0.6559, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4004, kappa: 0.0066, kb_relative_information_score: 0.0066, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5105, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.4531, kappa: 0.0792, kb_relative_information_score: 0.0792, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6078, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6785, root_relative_squared_error: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.4531, kappa: 0.0792, kb_relative_information_score: 0.0792, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6078, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6785, root_relative_squared_error: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4776, kappa: -0.0215, kb_relative_information_score: -0.0215, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4882, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7147, root_relative_squared_error: 1.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.468, kappa: -0.0248, kb_relative_information_score: -0.0248, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4855, predictive_accuracy: 0.4876, prior_entropy: 1, recall: 0.4876, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7158, root_relative_squared_error: 1.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4004, kappa: 0.0066, kb_relative_information_score: 0.0066, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5105, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6296, kappa: 0.3119, kb_relative_information_score: 0.3119, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7178, predictive_accuracy: 0.6559, prior_entropy: 1, recall: 0.6559, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.5276, kappa: 0.0858, kb_relative_information_score: 0.0858, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5493, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.4993, kappa: 0.0083, kb_relative_information_score: 0.0083, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5043, predictive_accuracy: 0.5041, prior_entropy: 1, recall: 0.5041, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7042, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4794, kappa: -0.0413, kb_relative_information_score: -0.0413, mean_absolute_error: 0.5206, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4794, predictive_accuracy: 0.4794, prior_entropy: 1, recall: 0.4794, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7215, root_relative_squared_error: 1.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6296, kappa: 0.3119, kb_relative_information_score: 0.3119, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7178, predictive_accuracy: 0.6559, prior_entropy: 1, recall: 0.6559, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4942, kappa: -0.0116, kb_relative_information_score: -0.0116, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4942, predictive_accuracy: 0.4942, prior_entropy: 1, recall: 0.4942, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4909, kappa: -0.0182, kb_relative_information_score: -0.0182, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4909, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7135, root_relative_squared_error: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4909, kappa: -0.0182, kb_relative_information_score: -0.0182, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4909, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7135, root_relative_squared_error: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.4545, kappa: 0.0231, kb_relative_information_score: 0.0231, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5199, predictive_accuracy: 0.5116, prior_entropy: 1, recall: 0.5116, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6989, root_relative_squared_error: 1.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6743, kappa: 0.3812, kb_relative_information_score: 0.3812, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7382, predictive_accuracy: 0.6906, prior_entropy: 1, recall: 0.6906, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4776, kappa: -0.0215, kb_relative_information_score: -0.0215, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4882, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7147, root_relative_squared_error: 1.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.005, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4776, kappa: -0.0215, kb_relative_information_score: -0.0215, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4882, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7147, root_relative_squared_error: 1.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5677, f_measure: 0.5637, kappa: 0.1353, kb_relative_information_score: 0.1353, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6575, root_relative_squared_error: 1.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4776, kappa: -0.0215, kb_relative_information_score: -0.0215, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4882, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7147, root_relative_squared_error: 1.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3471, kappa: -0.0017, kb_relative_information_score: -0.0017, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4879, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7077, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4615, kappa: -0.0297, kb_relative_information_score: -0.0297, mean_absolute_error: 0.5149, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.482, predictive_accuracy: 0.4851, prior_entropy: 1, recall: 0.4851, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7175, root_relative_squared_error: 1.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.4595, kappa: 0.0809, kb_relative_information_score: 0.0809, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6008, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6779, root_relative_squared_error: 1.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4004, kappa: 0.0066, kb_relative_information_score: 0.0066, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5105, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, f_measure: 0.4075, kappa: -0.0281, kb_relative_information_score: -0.0281, mean_absolute_error: 0.514, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4702, predictive_accuracy: 0.486, prior_entropy: 1, recall: 0.486, relative_absolute_error: 1.0281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.717, root_relative_squared_error: 1.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4794, kappa: -0.0413, kb_relative_information_score: -0.0413, mean_absolute_error: 0.5206, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4794, predictive_accuracy: 0.4794, prior_entropy: 1, recall: 0.4794, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7215, root_relative_squared_error: 1.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.468, kappa: -0.0248, kb_relative_information_score: -0.0248, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4855, predictive_accuracy: 0.4876, prior_entropy: 1, recall: 0.4876, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7158, root_relative_squared_error: 1.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4794, kappa: -0.0413, kb_relative_information_score: -0.0413, mean_absolute_error: 0.5206, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4794, predictive_accuracy: 0.4794, prior_entropy: 1, recall: 0.4794, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7215, root_relative_squared_error: 1.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6775, kappa: 0.3878, kb_relative_information_score: 0.3878, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7433, predictive_accuracy: 0.6939, prior_entropy: 1, recall: 0.6939, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6775, kappa: 0.3878, kb_relative_information_score: 0.3878, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7433, predictive_accuracy: 0.6939, prior_entropy: 1, recall: 0.6939, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4919, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3471, kappa: -0.0017, kb_relative_information_score: -0.0017, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4879, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7077, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9264, kappa: 0.8531, kb_relative_information_score: 0.8531, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.9294, predictive_accuracy: 0.9266, prior_entropy: 1, recall: 0.9266, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.271, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.4703, kappa: -0.0594, kb_relative_information_score: -0.0594, mean_absolute_error: 0.5297, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4703, predictive_accuracy: 0.4703, prior_entropy: 1, recall: 0.4703, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7278, root_relative_squared_error: 1.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, f_measure: 0.4714, kappa: -0.0495, kb_relative_information_score: -0.0495, mean_absolute_error: 0.5248, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4745, predictive_accuracy: 0.4752, prior_entropy: 1, recall: 0.4752, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7244, root_relative_squared_error: 1.4488,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.464, kappa: 0.0941, kb_relative_information_score: 0.0941, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6236, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3461,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.464, kappa: 0.0941, kb_relative_information_score: 0.0941, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6236, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3461,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4961, kappa: 0.0017, kb_relative_information_score: 0.0017, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4961, kappa: 0.0017, kb_relative_information_score: 0.0017, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4961, kappa: 0.0017, kb_relative_information_score: 0.0017, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, f_measure: 0.4659, kappa: -0.0281, kb_relative_information_score: -0.0281, mean_absolute_error: 0.514, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4835, predictive_accuracy: 0.486, prior_entropy: 1, recall: 0.486, relative_absolute_error: 1.0281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.717, root_relative_squared_error: 1.4339,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.464, kappa: -0.0264, kb_relative_information_score: -0.0264, mean_absolute_error: 0.5132, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4841, predictive_accuracy: 0.4868, prior_entropy: 1, recall: 0.4868, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7164, root_relative_squared_error: 1.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.4912, kappa: 0.0182, kb_relative_information_score: 0.0182, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5106, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4013,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4917, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, f_measure: 0.4659, kappa: -0.0281, kb_relative_information_score: -0.0281, mean_absolute_error: 0.514, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4835, predictive_accuracy: 0.486, prior_entropy: 1, recall: 0.486, relative_absolute_error: 1.0281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.717, root_relative_squared_error: 1.4339,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4909, kappa: -0.0182, kb_relative_information_score: -0.0182, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4909, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7135, root_relative_squared_error: 1.427,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.4767, kappa: -0.0248, kb_relative_information_score: -0.0248, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4865, predictive_accuracy: 0.4876, prior_entropy: 1, recall: 0.4876, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7158, root_relative_squared_error: 1.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4577, kappa: 0.0165, kb_relative_information_score: 0.0165, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5132, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4794, kappa: -0.0396, kb_relative_information_score: -0.0396, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4801, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4794, kappa: -0.0396, kb_relative_information_score: -0.0396, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4801, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.4868, kappa: -0.0264, kb_relative_information_score: -0.0264, mean_absolute_error: 0.5132, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4868, predictive_accuracy: 0.4868, prior_entropy: 1, recall: 0.4868, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7164, root_relative_squared_error: 1.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.4697, kappa: -0.0248, kb_relative_information_score: -0.0248, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4857, predictive_accuracy: 0.4876, prior_entropy: 1, recall: 0.4876, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7158, root_relative_squared_error: 1.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.4621, kappa: 0.0908, kb_relative_information_score: 0.0908, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6193, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6743, root_relative_squared_error: 1.3485,

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