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: 0.5035, f_measure: 0.427, kappa: 0.008, kb_relative_information_score: 5819.9063, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7567, predictive_accuracy: 0.5784, prior_entropy: 0.9835, recall: 0.5784, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7151, kappa: 0.4238, kb_relative_information_score: 20533.0274, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7644, predictive_accuracy: 0.7355, prior_entropy: 0.9835, recall: 0.7355, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7964, kappa: 0.5811, kb_relative_information_score: 26460.0357, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.799, predictive_accuracy: 0.7988, prior_entropy: 0.9835, recall: 0.7988, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7708, kappa: 0.5282, kb_relative_information_score: 24274.8778, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7777, predictive_accuracy: 0.7754, prior_entropy: 0.9835, recall: 0.7754, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.8401, kappa: 0.6715, kb_relative_information_score: 30406.5508, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8406, predictive_accuracy: 0.8409, prior_entropy: 0.9835, recall: 0.8409, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8343, kappa: 0.6596, kb_relative_information_score: 29873.1821, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8349, predictive_accuracy: 0.8352, prior_entropy: 0.9835, recall: 0.8352, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7531, kappa: 0.4926, kb_relative_information_score: 22891.8403, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7665, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.854, kappa: 0.7007, kb_relative_information_score: 31655.2125, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8539, predictive_accuracy: 0.8542, prior_entropy: 0.9835, recall: 0.8542, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8411, kappa: 0.6746, kb_relative_information_score: 30443.7626, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.841, predictive_accuracy: 0.8413, prior_entropy: 0.9835, recall: 0.8413, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8515, kappa: 0.6959, kb_relative_information_score: 31409.2013, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9835, recall: 0.8516, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8471, kappa: 0.6862, kb_relative_information_score: 31037.0836, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8472, predictive_accuracy: 0.8476, prior_entropy: 0.9835, recall: 0.8476, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8421, kappa: 0.6758, kb_relative_information_score: 30582.2731, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7856, kappa: 0.5588, kb_relative_information_score: 25492.5296, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7887, predictive_accuracy: 0.7884, prior_entropy: 0.9835, recall: 0.7884, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7733, kappa: 0.5334, kb_relative_information_score: 24506.4177, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7803, predictive_accuracy: 0.7779, prior_entropy: 0.9835, recall: 0.7779, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7552, kappa: 0.4965, kb_relative_information_score: 22991.0716, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.7468, kappa: 0.4809, kb_relative_information_score: 22527.9918, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7669, predictive_accuracy: 0.7568, prior_entropy: 0.9835, recall: 0.7568, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6846, kappa: 0.3719, kb_relative_information_score: 18674.5061, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7156, prior_entropy: 0.9835, recall: 0.7156, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7691, kappa: 0.5247, kb_relative_information_score: 24130.1653, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7762, predictive_accuracy: 0.7739, prior_entropy: 0.9835, recall: 0.7739, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8554, kappa: 0.7036, kb_relative_information_score: 31791.6556, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8553, predictive_accuracy: 0.8557, prior_entropy: 0.9835, recall: 0.8557, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.8264, kappa: 0.6432, kb_relative_information_score: 29174.4277, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8277, predictive_accuracy: 0.8277, prior_entropy: 0.9835, recall: 0.8277, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7884, kappa: 0.5646, kb_relative_information_score: 25740.6081, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7914, predictive_accuracy: 0.7911, prior_entropy: 0.9835, recall: 0.7911, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8459, kappa: 0.6837, kb_relative_information_score: 30935.7849, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8462, predictive_accuracy: 0.8465, prior_entropy: 0.9835, recall: 0.8465, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7876, kappa: 0.563, kb_relative_information_score: 25676.5212, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7908, predictive_accuracy: 0.7904, prior_entropy: 0.9835, recall: 0.7904, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.767, kappa: 0.5207, kb_relative_information_score: 24018.53, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7765, predictive_accuracy: 0.7727, prior_entropy: 0.9835, recall: 0.7727, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7553, kappa: 0.4967, kb_relative_information_score: 23007.6102, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7661, predictive_accuracy: 0.7619, prior_entropy: 0.9835, recall: 0.7619, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7788, kappa: 0.5448, kb_relative_information_score: 24921.9491, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7833, predictive_accuracy: 0.7823, prior_entropy: 0.9835, recall: 0.7823, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7978, kappa: 0.5839, kb_relative_information_score: 26577.873, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8002, predictive_accuracy: 0.8, prior_entropy: 0.9835, recall: 0.8, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8521, kappa: 0.6966, kb_relative_information_score: 31508.4327, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8523, predictive_accuracy: 0.8526, prior_entropy: 0.9835, recall: 0.8526, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7708, kappa: 0.5283, kb_relative_information_score: 24276.9451, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7754, prior_entropy: 0.9835, recall: 0.7754, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7859, kappa: 0.5593, kb_relative_information_score: 25529.7414, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7894, predictive_accuracy: 0.7888, prior_entropy: 0.9835, recall: 0.7888, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.8568, kappa: 0.7064, kb_relative_information_score: 31932.2334, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8568, predictive_accuracy: 0.8572, prior_entropy: 0.9835, recall: 0.8572, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7553, kappa: 0.4967, kb_relative_information_score: 22997.2736, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7618, prior_entropy: 0.9835, recall: 0.7618, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7916, kappa: 0.5711, kb_relative_information_score: 26021.7637, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7943, predictive_accuracy: 0.7941, prior_entropy: 0.9835, recall: 0.7941, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7417, kappa: 0.472, kb_relative_information_score: 22271.6441, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7691, predictive_accuracy: 0.754, prior_entropy: 0.9835, recall: 0.754, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7864, kappa: 0.5604, kb_relative_information_score: 25566.9532, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7896, predictive_accuracy: 0.7892, prior_entropy: 0.9835, recall: 0.7892, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.8079, kappa: 0.6049, kb_relative_information_score: 27514.3692, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 0.9835, recall: 0.81, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.844, kappa: 0.6803, kb_relative_information_score: 30720.7835, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8439, predictive_accuracy: 0.8442, prior_entropy: 0.9835, recall: 0.8442, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8437, kappa: 0.6791, kb_relative_information_score: 30735.2548, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.844, predictive_accuracy: 0.8444, prior_entropy: 0.9835, recall: 0.8444, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7846, kappa: 0.5566, kb_relative_information_score: 25467.7218, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7897, predictive_accuracy: 0.7882, prior_entropy: 0.9835, recall: 0.7882, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.8272, kappa: 0.6447, kb_relative_information_score: 29242.6493, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8284, predictive_accuracy: 0.8285, prior_entropy: 0.9835, recall: 0.8285, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8227, kappa: 0.6354, kb_relative_information_score: 28827.1178, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9835, recall: 0.824, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.8016, kappa: 0.5918, kb_relative_information_score: 26958.26, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8047, predictive_accuracy: 0.8041, prior_entropy: 0.9835, recall: 0.8041, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8227, kappa: 0.6354, kb_relative_information_score: 28827.1178, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9835, recall: 0.824, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.787, kappa: 0.5618, kb_relative_information_score: 25618.6362, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7901, predictive_accuracy: 0.7898, prior_entropy: 0.9835, recall: 0.7898, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9276,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.754, kappa: 0.4943, kb_relative_information_score: 22931.1193, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.766, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9889,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7804, kappa: 0.5479, kb_relative_information_score: 25033.5844, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7841, predictive_accuracy: 0.7835, prior_entropy: 0.9835, recall: 0.7835, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9413,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8437, kappa: 0.6791, kb_relative_information_score: 30735.2548, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.844, predictive_accuracy: 0.8444, prior_entropy: 0.9835, recall: 0.8444, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.84, kappa: 0.6715, kb_relative_information_score: 30404.4835, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8406, predictive_accuracy: 0.8409, prior_entropy: 0.9835, recall: 0.8409, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7884, kappa: 0.5646, kb_relative_information_score: 25740.6081, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7914, predictive_accuracy: 0.7911, prior_entropy: 0.9835, recall: 0.7911, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9248,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7011, kappa: 0.3998, kb_relative_information_score: 19677.1566, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7637, predictive_accuracy: 0.7263, prior_entropy: 0.9835, recall: 0.7263, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7819, kappa: 0.5512, kb_relative_information_score: 25163.8256, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7853, predictive_accuracy: 0.7849, prior_entropy: 0.9835, recall: 0.7849, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7457, kappa: 0.4792, kb_relative_information_score: 22490.78, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7679, predictive_accuracy: 0.7564, prior_entropy: 0.9835, recall: 0.7564, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9986,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7912, kappa: 0.5702, kb_relative_information_score: 25992.8212, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7941, predictive_accuracy: 0.7938, prior_entropy: 0.9835, recall: 0.7938, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7787, kappa: 0.5445, kb_relative_information_score: 24915.7472, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7833, predictive_accuracy: 0.7823, prior_entropy: 0.9835, recall: 0.7823, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7828, kappa: 0.553, kb_relative_information_score: 25281.6629, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7872, predictive_accuracy: 0.7862, prior_entropy: 0.9835, recall: 0.7862, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9355,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7805, kappa: 0.5482, kb_relative_information_score: 25052.1903, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7844, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7662, kappa: 0.5189, kb_relative_information_score: 23902.76, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7743, predictive_accuracy: 0.7715, prior_entropy: 0.9835, recall: 0.7715, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9672,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7796, kappa: 0.5463, kb_relative_information_score: 24979.8341, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7838, predictive_accuracy: 0.7829, prior_entropy: 0.9835, recall: 0.7829, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9426,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7824, kappa: 0.5521, kb_relative_information_score: 25207.2394, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7858, predictive_accuracy: 0.7854, prior_entropy: 0.9835, recall: 0.7854, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8304, kappa: 0.6515, kb_relative_information_score: 29521.7376, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8312, predictive_accuracy: 0.8314, prior_entropy: 0.9835, recall: 0.8314, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.7557, kappa: 0.4976, kb_relative_information_score: 23032.4181, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.766, predictive_accuracy: 0.7622, prior_entropy: 0.9835, recall: 0.7622, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8072, kappa: 0.6033, kb_relative_information_score: 27435.811, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8094, predictive_accuracy: 0.8092, prior_entropy: 0.9835, recall: 0.8092, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7415, kappa: 0.4714, kb_relative_information_score: 22232.365, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.768, predictive_accuracy: 0.7536, prior_entropy: 0.9835, recall: 0.7536, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8187, kappa: 0.6273, kb_relative_information_score: 28479.808, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8204, predictive_accuracy: 0.8203, prior_entropy: 0.9835, recall: 0.8203, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7507, kappa: 0.4885, kb_relative_information_score: 22821.5514, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.769, predictive_accuracy: 0.7599, prior_entropy: 0.9835, recall: 0.7599, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.8192, kappa: 0.6282, kb_relative_information_score: 28531.491, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8211, predictive_accuracy: 0.8209, prior_entropy: 0.9835, recall: 0.8209, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.8441, kappa: 0.68, kb_relative_information_score: 30772.4666, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.9835, recall: 0.8448, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5317, kappa: 0.14, kb_relative_information_score: 10382.483, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7446, predictive_accuracy: 0.6271, prior_entropy: 0.9835, recall: 0.6271, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7582, kappa: 0.503, kb_relative_information_score: 23344.5835, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7715, predictive_accuracy: 0.7655, prior_entropy: 0.9835, recall: 0.7655, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9797,

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