OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 15541 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7542, kappa: 0.5041, kb_relative_information_score: 0.5049, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7082, kappa: 0.4118, kb_relative_information_score: 0.4106, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.3968, kappa: 0.0149, kb_relative_information_score: 0.0874, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6946, predictive_accuracy: 0.5484, prior_entropy: 0.9948, recall: 0.5484, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.672, root_relative_squared_error: 1.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.4231, kappa: 0.0413, kb_relative_information_score: 0.1095, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6985, predictive_accuracy: 0.5593, prior_entropy: 0.9948, recall: 0.5593, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6638, root_relative_squared_error: 1.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.7101, kappa: 0.416, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7101, predictive_accuracy: 0.7102, prior_entropy: 0.9948, recall: 0.7102, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7625, kappa: 0.5214, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7625, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.7177, kappa: 0.4314, kb_relative_information_score: 0.4295, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7177, predictive_accuracy: 0.7177, prior_entropy: 0.9948, recall: 0.7177, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5313, root_relative_squared_error: 1.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.5688, kappa: 0.2071, kb_relative_information_score: 0.2485, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7007, predictive_accuracy: 0.6281, prior_entropy: 0.9948, recall: 0.6281, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7502, kappa: 0.4959, kb_relative_information_score: 0.4979, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7515, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7382, kappa: 0.4722, kb_relative_information_score: 0.4715, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7535, kappa: 0.5029, kb_relative_information_score: 0.5028, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.5942, kappa: 0.242, kb_relative_information_score: 0.2786, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7072, predictive_accuracy: 0.643, prior_entropy: 0.9948, recall: 0.643, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5975, root_relative_squared_error: 1.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.5276, kappa: 0.048, kb_relative_information_score: 0.0459, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5274, predictive_accuracy: 0.5279, prior_entropy: 0.9948, recall: 0.5279, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6871, root_relative_squared_error: 1.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.407, kappa: 0.0242, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6799, predictive_accuracy: 0.5521, prior_entropy: 0.9948, recall: 0.5521, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.7525, kappa: 0.5008, kb_relative_information_score: 0.5006, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7533, kappa: 0.5026, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.7385, kappa: 0.4727, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7574, kappa: 0.5108, kb_relative_information_score: 0.5108, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7421, kappa: 0.4798, kb_relative_information_score: 0.4801, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7422, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 0.4661, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.5459, kappa: 0.0856, kb_relative_information_score: 0.082, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5461, predictive_accuracy: 0.5457, prior_entropy: 0.9948, recall: 0.5457, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.674, root_relative_squared_error: 1.3528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7361, kappa: 0.4679, kb_relative_information_score: 0.4672, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.736, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.4444, kappa: 0.0638, kb_relative_information_score: 0.1283, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.5686, prior_entropy: 0.9948, recall: 0.5686, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.3183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7825, kappa: 0.5612, kb_relative_information_score: 0.562, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7832, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.5216, kappa: 0.1465, kb_relative_information_score: 0.1968, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6895, predictive_accuracy: 0.6025, prior_entropy: 0.9948, recall: 0.6025, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6305, root_relative_squared_error: 1.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.4782, kappa: 0.0989, kb_relative_information_score: 0.1574, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6945, predictive_accuracy: 0.583, prior_entropy: 0.9948, recall: 0.583, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6457, root_relative_squared_error: 1.2961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7514, kappa: 0.4986, kb_relative_information_score: 0.499, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7516, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.53, kappa: 0.1572, kb_relative_information_score: 0.2059, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6925, predictive_accuracy: 0.607, prior_entropy: 0.9948, recall: 0.607, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6269, root_relative_squared_error: 1.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.4526, kappa: 0.0727, kb_relative_information_score: 0.1359, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7037, predictive_accuracy: 0.5724, prior_entropy: 0.9948, recall: 0.5724, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7337, kappa: 0.4633, kb_relative_information_score: 0.4624, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7336, predictive_accuracy: 0.7339, prior_entropy: 0.9948, recall: 0.7339, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7585, kappa: 0.5127, kb_relative_information_score: 0.5135, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7606, kappa: 0.5172, kb_relative_information_score: 0.5173, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6853, kappa: 0.3765, kb_relative_information_score: 0.3929, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7179, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7442, kappa: 0.4846, kb_relative_information_score: 0.4834, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7585, kappa: 0.5127, kb_relative_information_score: 0.5135, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.722, kappa: 0.4411, kb_relative_information_score: 0.4376, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7229, predictive_accuracy: 0.7217, prior_entropy: 0.9948, recall: 0.7217, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.0589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, f_measure: 0.4681, kappa: 0.0875, kb_relative_information_score: 0.1477, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6913, predictive_accuracy: 0.5782, prior_entropy: 0.9948, recall: 0.5782, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6494, root_relative_squared_error: 1.3035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7177, kappa: 0.4312, kb_relative_information_score: 0.4295, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7176, predictive_accuracy: 0.7177, prior_entropy: 0.9948, recall: 0.7177, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5313, root_relative_squared_error: 1.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 0.0766, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7592, kappa: 0.5154, kb_relative_information_score: 0.513, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.4279, kappa: 0.0464, kb_relative_information_score: 0.1138, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7005, predictive_accuracy: 0.5615, prior_entropy: 0.9948, recall: 0.5615, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6622, root_relative_squared_error: 1.3292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7614, kappa: 0.5187, kb_relative_information_score: 0.5189, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7615, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, f_measure: 0.4837, kappa: 0.1033, kb_relative_information_score: 0.1607, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6865, predictive_accuracy: 0.5846, prior_entropy: 0.9948, recall: 0.5846, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6445, root_relative_squared_error: 1.2936,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6766, kappa: 0.3618, kb_relative_information_score: 0.3799, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7145, predictive_accuracy: 0.6931, prior_entropy: 0.9948, recall: 0.6931, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7446, kappa: 0.4848, kb_relative_information_score: 0.4888, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7483, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7814, kappa: 0.5599, kb_relative_information_score: 0.5582, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9385,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.6506, kappa: 0.3216, kb_relative_information_score: 0.346, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7109, predictive_accuracy: 0.6764, prior_entropy: 0.9948, recall: 0.6764, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5689, root_relative_squared_error: 1.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7853, kappa: 0.5673, kb_relative_information_score: 0.5663, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7852, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.6704, kappa: 0.3521, kb_relative_information_score: 0.3718, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7139, predictive_accuracy: 0.6891, prior_entropy: 0.9948, recall: 0.6891, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1191,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.3899, kappa: 0.0079, kb_relative_information_score: 0.0815, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6765, predictive_accuracy: 0.5455, prior_entropy: 0.9948, recall: 0.5455, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6742, root_relative_squared_error: 1.3532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7742, kappa: 0.5459, kb_relative_information_score: 0.5432, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9544,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3819, kappa: 0.0006, kb_relative_information_score: 0.0755, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5425, prior_entropy: 0.9948, recall: 0.5425, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6764, root_relative_squared_error: 1.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.403, kappa: 0.0198, kb_relative_information_score: 0.0912, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6685, predictive_accuracy: 0.5503, prior_entropy: 0.9948, recall: 0.5503, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6706, root_relative_squared_error: 1.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.4999, kappa: 0.1214, kb_relative_information_score: 0.1758, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6876, predictive_accuracy: 0.5921, prior_entropy: 0.9948, recall: 0.5921, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7282, kappa: 0.4558, kb_relative_information_score: 0.4661, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7471, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.7324, kappa: 0.4605, kb_relative_information_score: 0.4597, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7322, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.4026, kappa: 0.0197, kb_relative_information_score: 0.0912, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6747, predictive_accuracy: 0.5503, prior_entropy: 0.9948, recall: 0.5503, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6706, root_relative_squared_error: 1.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3877, kappa: 0.0064, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7144, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7623, kappa: 0.5205, kb_relative_information_score: 0.5211, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7784, kappa: 0.5543, kb_relative_information_score: 0.5518, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7267, kappa: 0.4506, kb_relative_information_score: 0.4586, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7321, prior_entropy: 0.9948, recall: 0.7321, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.754, kappa: 0.5048, kb_relative_information_score: 0.5108, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.5688, kappa: 0.2071, kb_relative_information_score: 0.2485, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7007, predictive_accuracy: 0.6281, prior_entropy: 0.9948, recall: 0.6281, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.4832, kappa: 0.1027, kb_relative_information_score: 0.1601, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6861, predictive_accuracy: 0.5844, prior_entropy: 0.9948, recall: 0.5844, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6447, root_relative_squared_error: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7382, kappa: 0.4722, kb_relative_information_score: 0.4715, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3836, kappa: 0.002, kb_relative_information_score: 0.0766, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6605, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.5942, kappa: 0.242, kb_relative_information_score: 0.2786, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7072, predictive_accuracy: 0.643, prior_entropy: 0.9948, recall: 0.643, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5975, root_relative_squared_error: 1.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7846, kappa: 0.5653, kb_relative_information_score: 0.5663, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.407, kappa: 0.0242, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6799, predictive_accuracy: 0.5521, prior_entropy: 0.9948, recall: 0.5521, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7701, kappa: 0.5367, kb_relative_information_score: 0.5356, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7398, kappa: 0.4751, kb_relative_information_score: 0.4753, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7398, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.7385, kappa: 0.4727, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7421, kappa: 0.4798, kb_relative_information_score: 0.4801, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7422, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7492, kappa: 0.4941, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7492, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,

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