OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7279, kappa: 0.4457, kb_relative_information_score: 14081.9437, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7297, predictive_accuracy: 0.727, prior_entropy: 0.9835, recall: 0.727, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15916.4325, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7569, kappa: 0.4996, kb_relative_information_score: 15889.1377, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7805, kappa: 0.5481, kb_relative_information_score: 18082.7508, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7852, predictive_accuracy: 0.784, prior_entropy: 0.9835, recall: 0.784, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.757, kappa: 0.4997, kb_relative_information_score: 15978.4517, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7575, kappa: 0.5008, kb_relative_information_score: 16047.8758, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7627, predictive_accuracy: 0.7619, prior_entropy: 0.9835, recall: 0.7619, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7698, kappa: 0.5266, kb_relative_information_score: 15661.6664, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7818, predictive_accuracy: 0.7762, prior_entropy: 0.9835, recall: 0.7762, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7569, kappa: 0.4996, kb_relative_information_score: 15996.1234, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8276, kappa: 0.6468, kb_relative_information_score: 21890.4581, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8275, predictive_accuracy: 0.8278, prior_entropy: 0.9835, recall: 0.8278, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15902.9696, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7967, kappa: 0.5818, kb_relative_information_score: 19885.4811, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9835, recall: 0.7985, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7568, kappa: 0.4994, kb_relative_information_score: 16049.5253, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7613, prior_entropy: 0.9835, recall: 0.7613, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4999, kb_relative_information_score: 15903.7596, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7568, kappa: 0.4994, kb_relative_information_score: 15884.7761, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.6213, kappa: 0.2593, kb_relative_information_score: 6728.6695, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.716, predictive_accuracy: 0.6689, prior_entropy: 0.9835, recall: 0.6689, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7527, kappa: 0.491, kb_relative_information_score: 15384.4124, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7551, predictive_accuracy: 0.7559, prior_entropy: 0.9835, recall: 0.7559, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7763, kappa: 0.5396, kb_relative_information_score: 17804.0138, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7807, predictive_accuracy: 0.7799, prior_entropy: 0.9835, recall: 0.7799, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7804, kappa: 0.5481, kb_relative_information_score: 18369.6989, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7836, predictive_accuracy: 0.7833, prior_entropy: 0.9835, recall: 0.7833, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7568, kappa: 0.4994, kb_relative_information_score: 15876.3351, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15910.6411, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7737, kappa: 0.5342, kb_relative_information_score: 17809.4005, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7774, predictive_accuracy: 0.777, prior_entropy: 0.9835, recall: 0.777, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7845, kappa: 0.5565, kb_relative_information_score: 18958.1875, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7872, predictive_accuracy: 0.7871, prior_entropy: 0.9835, recall: 0.7871, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7759, kappa: 0.5389, kb_relative_information_score: 17971.9439, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7793, predictive_accuracy: 0.7791, prior_entropy: 0.9835, recall: 0.7791, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.617, kappa: 0.247, kb_relative_information_score: 6107.7592, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6975, predictive_accuracy: 0.6623, prior_entropy: 0.9835, recall: 0.6623, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7397, kappa: 0.467, kb_relative_information_score: 13774.3166, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7508, prior_entropy: 0.9835, recall: 0.7508, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8054, kappa: 0.5997, kb_relative_information_score: 21484.0787, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8073, predictive_accuracy: 0.8073, prior_entropy: 0.9835, recall: 0.8073, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.6904, kappa: 0.3776, kb_relative_information_score: 10419.6128, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7482, predictive_accuracy: 0.716, prior_entropy: 0.9835, recall: 0.716, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7801, kappa: 0.5473, kb_relative_information_score: 17694.5504, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7851, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7617, kappa: 0.5094, kb_relative_information_score: 16808.8776, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7665, predictive_accuracy: 0.7658, prior_entropy: 0.9835, recall: 0.7658, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7734, kappa: 0.5344, kb_relative_information_score: 15452.9278, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7887, predictive_accuracy: 0.7805, prior_entropy: 0.9835, recall: 0.7805, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8388, kappa: 0.669, kb_relative_information_score: 24983.1116, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.839, predictive_accuracy: 0.8394, prior_entropy: 0.9835, recall: 0.8394, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7205, kappa: 0.4261, kb_relative_information_score: 10935.8979, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7342, predictive_accuracy: 0.73, prior_entropy: 0.9835, recall: 0.73, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7572, kappa: 0.5002, kb_relative_information_score: 16156.2205, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7164, kappa: 0.4224, kb_relative_information_score: 11951.086, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7491, predictive_accuracy: 0.7324, prior_entropy: 0.9835, recall: 0.7324, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.6692, kappa: 0.3379, kb_relative_information_score: 9005.9055, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.731, predictive_accuracy: 0.6991, prior_entropy: 0.9835, recall: 0.6991, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7335, kappa: 0.4526, kb_relative_information_score: 12242.8103, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.747, predictive_accuracy: 0.7422, prior_entropy: 0.9835, recall: 0.7422, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7224, kappa: 0.4303, kb_relative_information_score: 11257.4191, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7382, predictive_accuracy: 0.7325, prior_entropy: 0.9835, recall: 0.7325, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7345, kappa: 0.4538, kb_relative_information_score: 13221.6186, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.742, predictive_accuracy: 0.7408, prior_entropy: 0.9835, recall: 0.7408, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6557, kappa: 0.3168, kb_relative_information_score: 9131.0713, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7323, predictive_accuracy: 0.6916, prior_entropy: 0.9835, recall: 0.6916, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8255, kappa: 0.6448, kb_relative_information_score: 20180.1758, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8276, predictive_accuracy: 0.8248, prior_entropy: 0.9835, recall: 0.8248, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8091, kappa: 0.6103, kb_relative_information_score: 19412.7945, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8099, predictive_accuracy: 0.8087, prior_entropy: 0.9835, recall: 0.8087, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.5733, kappa: 0.1853, kb_relative_information_score: 4936.4665, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.696, predictive_accuracy: 0.6406, prior_entropy: 0.9835, recall: 0.6406, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8168, kappa: 0.6262, kb_relative_information_score: 19773.1835, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8177, predictive_accuracy: 0.8164, prior_entropy: 0.9835, recall: 0.8164, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8201, kappa: 0.6333, kb_relative_information_score: 19944.5849, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8214, predictive_accuracy: 0.8196, prior_entropy: 0.9835, recall: 0.8196, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7615,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.799, kappa: 0.589, kb_relative_information_score: 18836.1234, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7992, predictive_accuracy: 0.7989, prior_entropy: 0.9835, recall: 0.7989, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1,

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