OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131922 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.6862, kappa: 0.2966, kb_relative_information_score: 116.4073, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7222, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6271, kappa: 0.1812, kb_relative_information_score: 39.3105, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.699, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.6534, kappa: 0.2257, kb_relative_information_score: 67.4392, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6879, predictive_accuracy: 0.6966, prior_entropy: 0.9335, recall: 0.6966, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7422, kappa: 0.4194, kb_relative_information_score: 174.6444, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7519, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7632, kappa: 0.469, kb_relative_information_score: 235.3609, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.748, kappa: 0.4322, kb_relative_information_score: 168.4363, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.6985, kappa: 0.3219, kb_relative_information_score: 104.0476, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7232, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7438, kappa: 0.423, kb_relative_information_score: 181.4512, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7533, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 238.1804, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.5134, kb_relative_information_score: -24.9225, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7666, kappa: 0.4769, kb_relative_information_score: 253.4559, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6353, kappa: 0.193, kb_relative_information_score: 49.9076, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.689, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.6864, kappa: 0.3, kb_relative_information_score: 95.212, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7381, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7509, kappa: 0.4391, kb_relative_information_score: 179.6527, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.5528, kappa: 0.0585, kb_relative_information_score: 12.0637, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6926, predictive_accuracy: 0.6641, prior_entropy: 0.9335, recall: 0.6641, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7598, kappa: 0.461, kb_relative_information_score: 231.5533, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.6467, kappa: 0.2147, kb_relative_information_score: 55.2505, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6934, predictive_accuracy: 0.6966, prior_entropy: 0.9335, recall: 0.6966, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.633, kappa: 0.1897, kb_relative_information_score: 43.6269, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6914, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.749, kappa: 0.435, kb_relative_information_score: 198.1986, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7569, kappa: 0.453, kb_relative_information_score: 196.0242, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.5982, kappa: 0.1277, kb_relative_information_score: 24.5498, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6795, predictive_accuracy: 0.6771, prior_entropy: 0.9335, recall: 0.6771, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7475, kappa: 0.432, kb_relative_information_score: 204.5131, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7535, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.6899, kappa: 0.3025, kb_relative_information_score: 104.2749, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7125, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.5547, kappa: 0.0606, kb_relative_information_score: 21.4027, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6849, predictive_accuracy: 0.6641, prior_entropy: 0.9335, recall: 0.6641, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7694, kappa: 0.4827, kb_relative_information_score: 228.103, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7727, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.743, kappa: 0.4288, kb_relative_information_score: 239.0815, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7415, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.5817, kappa: 0.0996, kb_relative_information_score: 16.0539, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6718, predictive_accuracy: 0.6706, prior_entropy: 0.9335, recall: 0.6706, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.5656, kappa: 0.076, kb_relative_information_score: 33.8818, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6774, predictive_accuracy: 0.6667, prior_entropy: 0.9335, recall: 0.6667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7639, kappa: 0.4709, kb_relative_information_score: 240.3397, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7468, kappa: 0.4311, kb_relative_information_score: 184.8361, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2968, f_measure: 0.5134, kb_relative_information_score: -70.9483, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: 0.2667, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 249.5859, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7549, kappa: 0.4489, kb_relative_information_score: 191.029, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7606, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7598, kappa: 0.461, kb_relative_information_score: 228.2752, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.6914, kappa: 0.3063, kb_relative_information_score: 96.7007, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7172, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.5949, kappa: 0.1281, kb_relative_information_score: 51.3585, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7078, predictive_accuracy: 0.681, prior_entropy: 0.9335, recall: 0.681, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.758, kappa: 0.4565, kb_relative_information_score: 226.7578, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7614, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7672, kappa: 0.4788, kb_relative_information_score: 246.3692, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7559, kappa: 0.4543, kb_relative_information_score: 251.2205, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7413, kappa: 0.4172, kb_relative_information_score: 162.9315, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7526, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4071, f_measure: 0.5134, kb_relative_information_score: -47.2946, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4812, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7438, kappa: 0.423, kb_relative_information_score: 180.7456, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7533, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6961, kappa: 0.322, kb_relative_information_score: 207.0882, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6937, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.0203,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7468, kappa: 0.4371, kb_relative_information_score: 241.0585, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.5134, kb_relative_information_score: -59.8172, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0414, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.5134, kb_relative_information_score: 52.8051, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9432,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7544, kappa: 0.4508, kb_relative_information_score: 186.0404, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8635,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7484, kappa: 0.4369, kb_relative_information_score: 223.485, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7487, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7514, kappa: 0.4439, kb_relative_information_score: 223.6677, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7516, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7553, kappa: 0.4524, kb_relative_information_score: 225.6207, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7529, kappa: 0.4474, kb_relative_information_score: 225.0499, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.753, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8428,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7671, kappa: 0.4776, kb_relative_information_score: 242.788, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8226,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7301, kappa: 0.4006, kb_relative_information_score: 254.4799, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7285, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7512, kappa: 0.4459, kb_relative_information_score: 101.6777, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8913,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1873.9387, usercpu_time_millis: 1.805, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 1.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.6903, kappa: 0.3037, kb_relative_information_score: 103.8609, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7151, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9086, scimark_benchmark: 1882.6178, usercpu_time_millis: 1.93, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.0483, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1874.0934, usercpu_time_millis: 5.01, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.1041, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1887.4574, usercpu_time_millis: 8.425, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 8.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7113, kappa: 0.3585, kb_relative_information_score: 233.5982, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7094, predictive_accuracy: 0.7148, prior_entropy: 0.9335, recall: 0.7148, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9765, scimark_benchmark: 1757.4543, usercpu_time_millis: 2.252, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 2.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7352, kappa: 0.4034, kb_relative_information_score: 138.9105, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7554, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8835, scimark_benchmark: 1753.7072, usercpu_time_millis: 5.939, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7602, kappa: 0.462, kb_relative_information_score: 232.2051, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8409, scimark_benchmark: 1869.1727, usercpu_time_millis: 7.435, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7591, kappa: 0.459, kb_relative_information_score: 226.4825, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 1871.9601, usercpu_time_millis: 5.846, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7385, kappa: 0.411, kb_relative_information_score: 157.691, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7495, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8695, scimark_benchmark: 1741.1595, usercpu_time_millis: 3.365, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 3.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7465, kappa: 0.4361, kb_relative_information_score: 256.2512, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7451, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8613, scimark_benchmark: 1899.2422, usercpu_time_millis: 10.632, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 10.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7166, kappa: 0.3621, kb_relative_information_score: 160.1484, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7211, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8727, scimark_benchmark: 1872.8797, usercpu_time_millis: 9.173, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 9.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1873.019, usercpu_time_millis: 8.644, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 8.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.608, kappa: 0.1446, kb_relative_information_score: 27.306, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6832, predictive_accuracy: 0.681, prior_entropy: 0.9335, recall: 0.681, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9652, scimark_benchmark: 1751.3544, usercpu_time_millis: 4.544, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.6112, kappa: 0.1516, kb_relative_information_score: 27.8341, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6898, predictive_accuracy: 0.6836, prior_entropy: 0.9335, recall: 0.6836, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9648, scimark_benchmark: 1754.2741, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7677, kappa: 0.4795, kb_relative_information_score: 254.4888, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1750.7876, usercpu_time_millis: 2.831, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7079, kappa: 0.3425, kb_relative_information_score: 115.9337, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7299, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8997, scimark_benchmark: 1751.3544, usercpu_time_millis: 3.915, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 3.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7394, kappa: 0.4128, kb_relative_information_score: 148.2277, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8762, scimark_benchmark: 1750.4475, usercpu_time_millis: 4.273, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.5776, kappa: 0.0931, kb_relative_information_score: 14.3108, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6711, predictive_accuracy: 0.6693, prior_entropy: 0.9335, recall: 0.6693, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9737, scimark_benchmark: 1754.6748, usercpu_time_millis: 5.772, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 238.1448, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8396, scimark_benchmark: 1750.9689, usercpu_time_millis: 5.021, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 5.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.5817, kappa: 0.1029, kb_relative_information_score: 79.5489, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6872, predictive_accuracy: 0.6732, prior_entropy: 0.9335, recall: 0.6732, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.927, scimark_benchmark: 1751.3544, usercpu_time_millis: 6.911, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 6.894,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs