OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77568 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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77568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8025, kappa: 0.5936, kb_relative_information_score: 0.4223, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8047, predictive_accuracy: 0.8045, prior_entropy: 0.9835, recall: 0.8045, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8283, kappa: 0.6474, kb_relative_information_score: 0.4063, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8286, predictive_accuracy: 0.8291, prior_entropy: 0.9835, recall: 0.8291, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8424, kappa: 0.6765, kb_relative_information_score: 0.489, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8429, prior_entropy: 0.9835, recall: 0.8429, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8155, kappa: 0.6206, kb_relative_information_score: 0.4516, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8165, predictive_accuracy: 0.8168, prior_entropy: 0.9835, recall: 0.8168, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8161, kappa: 0.6219, kb_relative_information_score: 0.4621, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8171, predictive_accuracy: 0.8174, prior_entropy: 0.9835, recall: 0.8174, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8996, kappa: 0.7945, kb_relative_information_score: 0.679, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8996, predictive_accuracy: 0.8996, prior_entropy: 0.9835, recall: 0.8996, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9181, kappa: 0.8323, kb_relative_information_score: 0.7246, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9181, predictive_accuracy: 0.9181, prior_entropy: 0.9835, recall: 0.9181, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9453, kappa: 0.8881, kb_relative_information_score: 0.8371, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 0.9835, recall: 0.9453, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8595, kappa: 0.712, kb_relative_information_score: 0.5779, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8804, kappa: 0.7554, kb_relative_information_score: 0.7146, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8805, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8784, kappa: 0.7509, kb_relative_information_score: 0.5936, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8784, predictive_accuracy: 0.8786, prior_entropy: 0.9835, recall: 0.8786, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8218, kappa: 0.634, kb_relative_information_score: 0.4323, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8224, predictive_accuracy: 0.8228, prior_entropy: 0.9835, recall: 0.8228, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8594, kappa: 0.7116, kb_relative_information_score: 0.5829, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8385, kappa: 0.6688, kb_relative_information_score: 0.536, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8385, predictive_accuracy: 0.839, prior_entropy: 0.9835, recall: 0.839, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8771, kappa: 0.7481, kb_relative_information_score: 0.6496, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.877, predictive_accuracy: 0.8772, prior_entropy: 0.9835, recall: 0.8772, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9346, kappa: 0.8661, kb_relative_information_score: 0.7953, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9346, predictive_accuracy: 0.9346, prior_entropy: 0.9835, recall: 0.9346, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8259, kappa: 0.6422, kb_relative_information_score: 0.4776, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8271, predictive_accuracy: 0.8272, prior_entropy: 0.9835, recall: 0.8272, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8616, kappa: 0.7164, kb_relative_information_score: 0.5909, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 0.9835, recall: 0.8617, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7767, kappa: 0.5404, kb_relative_information_score: 0.2734, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.785, predictive_accuracy: 0.7816, prior_entropy: 0.9835, recall: 0.7816, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8004, kappa: 0.5892, kb_relative_information_score: 0.4023, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8293, kappa: 0.6488, kb_relative_information_score: 0.4197, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8323, predictive_accuracy: 0.8312, prior_entropy: 0.9835, recall: 0.8312, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7981, kappa: 0.5844, kb_relative_information_score: 0.3798, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8016, predictive_accuracy: 0.8008, prior_entropy: 0.9835, recall: 0.8008, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8002, kappa: 0.5889, kb_relative_information_score: 0.3152, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8086, predictive_accuracy: 0.8044, prior_entropy: 0.9835, recall: 0.8044, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8476, kappa: 0.6873, kb_relative_information_score: 0.5235, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8477, predictive_accuracy: 0.8481, prior_entropy: 0.9835, recall: 0.8481, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8363, kappa: 0.6637, kb_relative_information_score: 0.5101, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8369, predictive_accuracy: 0.8372, prior_entropy: 0.9835, recall: 0.8372, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9352, kappa: 0.8673, kb_relative_information_score: 0.795, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9352, predictive_accuracy: 0.9352, prior_entropy: 0.9835, recall: 0.9352, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8341, kappa: 0.6596, kb_relative_information_score: 0.5013, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8344, predictive_accuracy: 0.8348, prior_entropy: 0.9835, recall: 0.8348, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8222, kappa: 0.6347, kb_relative_information_score: 0.3958, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8227, predictive_accuracy: 0.8232, prior_entropy: 0.9835, recall: 0.8232, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8896, kappa: 0.7738, kb_relative_information_score: 0.6539, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8895, predictive_accuracy: 0.8897, prior_entropy: 0.9835, recall: 0.8897, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.875, kappa: 0.744, kb_relative_information_score: 0.5985, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.875, predictive_accuracy: 0.8752, prior_entropy: 0.9835, recall: 0.8752, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8979, kappa: 0.791, kb_relative_information_score: 0.7117, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9835, recall: 0.898, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.891, kappa: 0.777, kb_relative_information_score: 0.7747, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.891, predictive_accuracy: 0.891, prior_entropy: 0.9835, recall: 0.891, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8364, kappa: 0.6645, kb_relative_information_score: 0.6625, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8363, predictive_accuracy: 0.8367, prior_entropy: 0.9835, recall: 0.8367, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9232, kappa: 0.8429, kb_relative_information_score: 0.7386, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9232, predictive_accuracy: 0.9233, prior_entropy: 0.9835, recall: 0.9233, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8578, kappa: 0.7086, kb_relative_information_score: 0.5615, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8578, predictive_accuracy: 0.8581, prior_entropy: 0.9835, recall: 0.8581, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6522, kappa: 0.2842, kb_relative_information_score: 0.2906, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6526, predictive_accuracy: 0.6569, prior_entropy: 0.9835, recall: 0.6569, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5858, root_relative_squared_error: 1.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6887, kappa: 0.3592, kb_relative_information_score: 0.3675, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6912, predictive_accuracy: 0.6941, prior_entropy: 0.9835, recall: 0.6941, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8278, kappa: 0.646, kb_relative_information_score: 0.3408, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8288, predictive_accuracy: 0.829, prior_entropy: 0.9835, recall: 0.829, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8914, kappa: 0.7778, kb_relative_information_score: 0.7755, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8914, predictive_accuracy: 0.8914, prior_entropy: 0.9835, recall: 0.8914, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8925, kappa: 0.7799, kb_relative_information_score: 35237.8792, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8925, predictive_accuracy: 0.8925, prior_entropy: 0.9835, recall: 0.8925, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2045, f_measure: 0.2339, kappa: -0.4398, kb_relative_information_score: -12312.5089, mean_absolute_error: 0.5926, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2464, predictive_accuracy: 0.2471, prior_entropy: 0.9835, recall: 0.2471, relative_absolute_error: 1.2127, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6111, root_relative_squared_error: 1.2364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3063.18, mean_absolute_error: 0.5115, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.517, root_relative_squared_error: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2609, kb_relative_information_score: -3233.5944, mean_absolute_error: 0.513, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0498, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3117.8244, mean_absolute_error: 0.512, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0479,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1997, kb_relative_information_score: -5118.4132, mean_absolute_error: 0.5291, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.0818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3077.2772, mean_absolute_error: 0.5116, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2489, kb_relative_information_score: -3385.4912, mean_absolute_error: 0.5143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0526, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3039.8056, mean_absolute_error: 0.5113, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0464, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2457, kb_relative_information_score: -3081.0905, mean_absolute_error: 0.5117, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3058.9885, mean_absolute_error: 0.5115, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0459,

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