Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 76447 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: 0.2045, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1749, kb_relative_information_score: -3548.984, mean_absolute_error: 0.5157, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0554, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1112, f_measure: 0.1806, kappa: -0.5715, kb_relative_information_score: -23753.1852, mean_absolute_error: 0.7192, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.1881, predictive_accuracy: 0.1869, prior_entropy: 0.9835, recall: 0.1869, relative_absolute_error: 1.4719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.7558, root_relative_squared_error: 1.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.207, kb_relative_information_score: -4139.0392, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5264, root_relative_squared_error: 1.0649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3082.3833, 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: 1.0472, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3032.1534, mean_absolute_error: 0.5112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.244, kb_relative_information_score: -3090.7281, 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: 1.0473, 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: 0.5, kb_relative_information_score: -3134.4843, mean_absolute_error: 0.5121, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.233, kb_relative_information_score: -3389.6785, 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: 0.5202, root_relative_squared_error: 1.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2518, kb_relative_information_score: -4096.9403, mean_absolute_error: 0.5204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0651, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3108.1355, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2898.9909, mean_absolute_error: 0.5101, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1606, kb_relative_information_score: -3215.7972, mean_absolute_error: 0.5128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3008.0936, mean_absolute_error: 0.511, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0459, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2613, kb_relative_information_score: -3514.5573, mean_absolute_error: 0.5154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2283, kb_relative_information_score: -3786.4267, mean_absolute_error: 0.5177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0596, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.0582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2154, f_measure: 0.2276, kappa: -0.4258, kb_relative_information_score: -11177.1187, mean_absolute_error: 0.5822, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2389, predictive_accuracy: 0.2482, prior_entropy: 0.9835, recall: 0.2482, relative_absolute_error: 1.1915, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5982, root_relative_squared_error: 1.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3023.0714, mean_absolute_error: 0.5111, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0461, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3145, kb_relative_information_score: -2999.1768, mean_absolute_error: 0.5109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0457, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2029, kb_relative_information_score: -3136.2483, mean_absolute_error: 0.5121, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2003, f_measure: 0.2097, kappa: -0.4283, kb_relative_information_score: -12336.3159, mean_absolute_error: 0.5933, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2157, predictive_accuracy: 0.2401, prior_entropy: 0.9835, recall: 0.2401, relative_absolute_error: 1.2143, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3193.1531, mean_absolute_error: 0.5126, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3051.9895, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1789, kb_relative_information_score: -4427.0286, mean_absolute_error: 0.5232, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0707, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1473, kb_relative_information_score: -3662.5608, mean_absolute_error: 0.5167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0575, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2569, kb_relative_information_score: -3683.7082, mean_absolute_error: 0.5168, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0578, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.229, kb_relative_information_score: -5839.3607, mean_absolute_error: 0.536, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0971, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3125.405, 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: 1.0479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3064.5275, 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: 1.0469, 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: 0.2478, kb_relative_information_score: -3964.8684, mean_absolute_error: 0.5192, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.0599,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.163, f_measure: 0.2152, kappa: -0.4519, kb_relative_information_score: -18056.0077, mean_absolute_error: 0.6555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2244, predictive_accuracy: 0.2351, prior_entropy: 0.9835, recall: 0.2351, relative_absolute_error: 1.3415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3052.787, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2452, kb_relative_information_score: -3124.0645, 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: 1.0479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0472,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -2813.7359, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.513, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2784, kb_relative_information_score: -3070.3615, 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: 1.047, 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: 0.2686, kb_relative_information_score: -3056.6989, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3199.5661, mean_absolute_error: 0.5127, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3119.3815, 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: 0.518, root_relative_squared_error: 1.0479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3042.9693, 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: 1.0465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3046.4806, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2472, kb_relative_information_score: -3104.1337, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3117.009, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2942.0428, mean_absolute_error: 0.5105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0447, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.515, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3038.4111, 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: 0.2112, kb_relative_information_score: -3258.7179, mean_absolute_error: 0.5132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2672, kb_relative_information_score: -3140.7594, mean_absolute_error: 0.5122, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0482, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3069.8255, 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: 1.0469, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2007, f_measure: 0.2427, kappa: -0.4252, kb_relative_information_score: -15734.636, mean_absolute_error: 0.6325, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2563, predictive_accuracy: 0.2552, prior_entropy: 0.9835, recall: 0.2552, relative_absolute_error: 1.2945, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3098.611, mean_absolute_error: 0.5118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2348, f_measure: 0.2743, kappa: -0.4162, kb_relative_information_score: -10240.2293, mean_absolute_error: 0.5738, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2874, predictive_accuracy: 0.2748, prior_entropy: 0.9835, recall: 0.2748, relative_absolute_error: 1.1743, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.1929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3057.415, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3040.7532, 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: 0.5, kb_relative_information_score: -3047.5069, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3163.5914, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2204, kb_relative_information_score: -3179.805, mean_absolute_error: 0.5125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2946.039, mean_absolute_error: 0.5105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0448, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2474.9274, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0367, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.206, f_measure: 0.252, kappa: -0.4147, kb_relative_information_score: -15101.3908, mean_absolute_error: 0.6261, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2665, predictive_accuracy: 0.2625, prior_entropy: 0.9835, recall: 0.2625, relative_absolute_error: 1.2814, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6591, root_relative_squared_error: 1.3334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3063.6594, 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: 0.5, kb_relative_information_score: -2875.273, mean_absolute_error: 0.5099, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3057.6982, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.171, f_measure: 0.205, kappa: -0.4078, kb_relative_information_score: -8459.6715, mean_absolute_error: 0.5567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2069, predictive_accuracy: 0.2452, prior_entropy: 0.9835, recall: 0.2452, relative_absolute_error: 1.1394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.1418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1177, kb_relative_information_score: -3717.6866, mean_absolute_error: 0.5171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0584, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.0567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3036.0839, 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: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.263, kb_relative_information_score: -4786.5521, mean_absolute_error: 0.5262, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0769, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.0761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1312, f_measure: 0.1968, kappa: -0.4864, kb_relative_information_score: -19264.4063, mean_absolute_error: 0.6677, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2028, predictive_accuracy: 0.2171, prior_entropy: 0.9835, recall: 0.2171, relative_absolute_error: 1.3665, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6968, root_relative_squared_error: 1.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3049.1964, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3025.7631, mean_absolute_error: 0.5112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3097.242, mean_absolute_error: 0.5118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3103.6949, mean_absolute_error: 0.5118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1861, kb_relative_information_score: -3108.6405, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3022.5987, mean_absolute_error: 0.5111, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0461, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3016.7349, mean_absolute_error: 0.5111, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1824, f_measure: 0.2269, kappa: -0.4578, kb_relative_information_score: -17872.5783, mean_absolute_error: 0.656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.2384, predictive_accuracy: 0.2389, prior_entropy: 0.9835, recall: 0.2389, relative_absolute_error: 1.3426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6947, root_relative_squared_error: 1.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1753, kb_relative_information_score: -5617.2268, mean_absolute_error: 0.5334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.0908,

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