Task
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 156792 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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156792 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.8396, kappa: 0.3404, kb_relative_information_score: 0.1032, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2616, weighted_recall: 0.854, number_of_instances: 2109, precision: 0.8341, predictive_accuracy: 0.854, prior_entropy: 0.6212, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9043, unweighted_recall: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.8266, kappa: 0.2537, kb_relative_information_score: 0.0456, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8578, number_of_instances: 2109, precision: 0.8319, predictive_accuracy: 0.8578, prior_entropy: 0.6212, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.8988, unweighted_recall: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8472, kappa: 0.3623, kb_relative_information_score: 0.1201, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8649, number_of_instances: 2109, precision: 0.8455, predictive_accuracy: 0.8649, prior_entropy: 0.6212, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8817, unweighted_recall: 0.6469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.838, kappa: 0.3065, kb_relative_information_score: 0.0606, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8649, number_of_instances: 2109, precision: 0.8446, predictive_accuracy: 0.8649, prior_entropy: 0.6212, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.8943, unweighted_recall: 0.6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8422, kappa: 0.3528, kb_relative_information_score: 0.1163, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8559, number_of_instances: 2109, precision: 0.837, predictive_accuracy: 0.8559, prior_entropy: 0.6212, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.9034, unweighted_recall: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8429, kappa: 0.3452, kb_relative_information_score: 0.1026, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8606, number_of_instances: 2109, precision: 0.8398, predictive_accuracy: 0.8606, prior_entropy: 0.6212, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8873, unweighted_recall: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.8468, kappa: 0.3617, kb_relative_information_score: 0.1104, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8639, number_of_instances: 2109, precision: 0.8445, predictive_accuracy: 0.8639, prior_entropy: 0.6212, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8882, unweighted_recall: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8443, kappa: 0.344, kb_relative_information_score: 0.0946, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8649, number_of_instances: 2109, precision: 0.8446, predictive_accuracy: 0.8649, prior_entropy: 0.6212, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.8774, unweighted_recall: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8376, kappa: 0.3301, kb_relative_information_score: 0.0992, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2616, weighted_recall: 0.853, number_of_instances: 2109, precision: 0.8321, predictive_accuracy: 0.853, prior_entropy: 0.6212, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9024, unweighted_recall: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8326, kappa: 0.2822, kb_relative_information_score: 0.0643, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8611, number_of_instances: 2109, precision: 0.8379, predictive_accuracy: 0.8611, prior_entropy: 0.6212, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.8895, unweighted_recall: 0.6045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8452, kappa: 0.3623, kb_relative_information_score: 0.1332, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8596, number_of_instances: 2109, precision: 0.8409, predictive_accuracy: 0.8596, prior_entropy: 0.6212, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8935, unweighted_recall: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8393, kappa: 0.3376, kb_relative_information_score: 0.1364, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8544, number_of_instances: 2109, precision: 0.834, predictive_accuracy: 0.8544, prior_entropy: 0.6212, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8986, unweighted_recall: 0.6419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8249, kappa: 0.2447, kb_relative_information_score: 0.0471, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8573, number_of_instances: 2109, precision: 0.831, predictive_accuracy: 0.8573, prior_entropy: 0.6212, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.8949, unweighted_recall: 0.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8451, kappa: 0.3533, kb_relative_information_score: 0.1248, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2616, weighted_recall: 0.863, number_of_instances: 2109, precision: 0.8429, predictive_accuracy: 0.863, prior_entropy: 0.6212, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8815, unweighted_recall: 0.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8461, kappa: 0.3593, kb_relative_information_score: 0.1382, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.2616, weighted_recall: 0.863, number_of_instances: 2109, precision: 0.8434, predictive_accuracy: 0.863, prior_entropy: 0.6212, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.883, unweighted_recall: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8393, kappa: 0.3376, kb_relative_information_score: 0.1183, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8544, number_of_instances: 2109, precision: 0.834, predictive_accuracy: 0.8544, prior_entropy: 0.6212, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9016, unweighted_recall: 0.6419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8391, kappa: 0.34, kb_relative_information_score: 0.1269, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.2616, weighted_recall: 0.853, number_of_instances: 2109, precision: 0.8335, predictive_accuracy: 0.853, prior_entropy: 0.6212, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.9131, unweighted_recall: 0.6449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.8305, kappa: 0.2711, kb_relative_information_score: 0.0435, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8606, number_of_instances: 2109, precision: 0.8373, predictive_accuracy: 0.8606, prior_entropy: 0.6212, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9006, unweighted_recall: 0.5992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8422, kappa: 0.3528, kb_relative_information_score: 0.1244, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8559, number_of_instances: 2109, precision: 0.837, predictive_accuracy: 0.8559, prior_entropy: 0.6212, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9011, unweighted_recall: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.8211, kappa: 0.2267, kb_relative_information_score: 0.0366, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8986, unweighted_recall: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8387, kappa: 0.3336, kb_relative_information_score: 0.0882, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8544, number_of_instances: 2109, precision: 0.8335, predictive_accuracy: 0.8544, prior_entropy: 0.6212, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9031, unweighted_recall: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.833, kappa: 0.2858, kb_relative_information_score: 0.0741, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8606, number_of_instances: 2109, precision: 0.837, predictive_accuracy: 0.8606, prior_entropy: 0.6212, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8884, unweighted_recall: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8241, kappa: 0.2834, kb_relative_information_score: 0.0832, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8374, number_of_instances: 2109, precision: 0.8165, predictive_accuracy: 0.8374, prior_entropy: 0.6212, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.9559, unweighted_recall: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.8373, kappa: 0.3343, kb_relative_information_score: 0.1017, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8506, number_of_instances: 2109, precision: 0.8313, predictive_accuracy: 0.8506, prior_entropy: 0.6212, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.9173, unweighted_recall: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8342, kappa: 0.2918, kb_relative_information_score: 0.065, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8611, number_of_instances: 2109, precision: 0.8379, predictive_accuracy: 0.8611, prior_entropy: 0.6212, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8932, unweighted_recall: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8359, kappa: 0.3281, kb_relative_information_score: 0.0936, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8497, number_of_instances: 2109, precision: 0.8298, predictive_accuracy: 0.8497, prior_entropy: 0.6212, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.9172, unweighted_recall: 0.6404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8438, kappa: 0.3452, kb_relative_information_score: 0.1045, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2616, weighted_recall: 0.863, number_of_instances: 2109, precision: 0.8423, predictive_accuracy: 0.863, prior_entropy: 0.6212, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8811, unweighted_recall: 0.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.844, kappa: 0.3411, kb_relative_information_score: 0.081, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8653, number_of_instances: 2109, precision: 0.8451, predictive_accuracy: 0.8653, prior_entropy: 0.6212, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8891, unweighted_recall: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8373, kappa: 0.3051, kb_relative_information_score: 0.0647, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8634, number_of_instances: 2109, precision: 0.842, predictive_accuracy: 0.8634, prior_entropy: 0.6212, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.8927, unweighted_recall: 0.6147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8243, kappa: 0.2407, kb_relative_information_score: 0.0576, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8578, number_of_instances: 2109, precision: 0.8321, predictive_accuracy: 0.8578, prior_entropy: 0.6212, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.8893, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8259, kappa: 0.2484, kb_relative_information_score: 0.0604, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.834, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8895, unweighted_recall: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8447, kappa: 0.3453, kb_relative_information_score: 0.1022, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8653, number_of_instances: 2109, precision: 0.8453, predictive_accuracy: 0.8653, prior_entropy: 0.6212, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8789, unweighted_recall: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.845, kappa: 0.3644, kb_relative_information_score: 0.1275, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8582, number_of_instances: 2109, precision: 0.8401, predictive_accuracy: 0.8582, prior_entropy: 0.6212, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.902, unweighted_recall: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.8377, kappa: 0.3183, kb_relative_information_score: 0.0809, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8582, number_of_instances: 2109, precision: 0.8352, predictive_accuracy: 0.8582, prior_entropy: 0.6212, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9007, unweighted_recall: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.836, kappa: 0.3272, kb_relative_information_score: 0.108, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8502, number_of_instances: 2109, precision: 0.8299, predictive_accuracy: 0.8502, prior_entropy: 0.6212, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.9138, unweighted_recall: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8423, kappa: 0.3403, kb_relative_information_score: 0.1099, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8611, number_of_instances: 2109, precision: 0.8399, predictive_accuracy: 0.8611, prior_entropy: 0.6212, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8861, unweighted_recall: 0.6371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.8293, kappa: 0.2662, kb_relative_information_score: 0.0649, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8596, number_of_instances: 2109, precision: 0.8355, predictive_accuracy: 0.8596, prior_entropy: 0.6212, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8905, unweighted_recall: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8279, kappa: 0.2613, kb_relative_information_score: 0.038, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8578, number_of_instances: 2109, precision: 0.8319, predictive_accuracy: 0.8578, prior_entropy: 0.6212, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9031, unweighted_recall: 0.5963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8259, kappa: 0.2484, kb_relative_information_score: 0.0604, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.834, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8895, unweighted_recall: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8468, kappa: 0.3665, kb_relative_information_score: 0.1312, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.2616, weighted_recall: 0.862, number_of_instances: 2109, precision: 0.8432, predictive_accuracy: 0.862, prior_entropy: 0.6212, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8918, unweighted_recall: 0.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8325, kappa: 0.288, kb_relative_information_score: 0.0738, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8578, number_of_instances: 2109, precision: 0.8326, predictive_accuracy: 0.8578, prior_entropy: 0.6212, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.8969, unweighted_recall: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.822, kappa: 0.2338, kb_relative_information_score: 0.0302, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2616, weighted_recall: 0.854, number_of_instances: 2109, precision: 0.8246, predictive_accuracy: 0.854, prior_entropy: 0.6212, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9045, unweighted_recall: 0.5853,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.8446, kappa: 0.3461, kb_relative_information_score: 0.0975, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8649, number_of_instances: 2109, precision: 0.8447, predictive_accuracy: 0.8649, prior_entropy: 0.6212, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.8917, unweighted_recall: 0.6368,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.8468, kappa: 0.356, kb_relative_information_score: 0.1008, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8663, number_of_instances: 2109, precision: 0.8469, predictive_accuracy: 0.8663, prior_entropy: 0.6212, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8816, unweighted_recall: 0.6414,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.845, kappa: 0.3541, kb_relative_information_score: 0.1396, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8625, number_of_instances: 2109, precision: 0.8425, predictive_accuracy: 0.8625, prior_entropy: 0.6212, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.319, root_relative_squared_error: 0.8825, unweighted_recall: 0.6442,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8391, kappa: 0.34, kb_relative_information_score: 0.1055, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2616, weighted_recall: 0.853, number_of_instances: 2109, precision: 0.8335, predictive_accuracy: 0.853, prior_entropy: 0.6212, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.9084, unweighted_recall: 0.6449,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8293, kappa: 0.2662, kb_relative_information_score: 0.0633, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8596, number_of_instances: 2109, precision: 0.8355, predictive_accuracy: 0.8596, prior_entropy: 0.6212, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8898, unweighted_recall: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.831, kappa: 0.2749, kb_relative_information_score: 0.0668, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8601, number_of_instances: 2109, precision: 0.8362, predictive_accuracy: 0.8601, prior_entropy: 0.6212, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.8867, unweighted_recall: 0.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8321, kappa: 0.2786, kb_relative_information_score: 0.0799, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8615, number_of_instances: 2109, precision: 0.839, predictive_accuracy: 0.8615, prior_entropy: 0.6212, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.319, root_relative_squared_error: 0.8824, unweighted_recall: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8469, kappa: 0.3603, kb_relative_information_score: 0.1226, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8649, number_of_instances: 2109, precision: 0.8454, predictive_accuracy: 0.8649, prior_entropy: 0.6212, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.8798, unweighted_recall: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8373, kappa: 0.3092, kb_relative_information_score: 0.0706, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8615, number_of_instances: 2109, precision: 0.8389, predictive_accuracy: 0.8615, prior_entropy: 0.6212, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8908, unweighted_recall: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.845, kappa: 0.3465, kb_relative_information_score: 0.1052, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8658, number_of_instances: 2109, precision: 0.8459, predictive_accuracy: 0.8658, prior_entropy: 0.6212, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.8758, unweighted_recall: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8385, kappa: 0.315, kb_relative_information_score: 0.0687, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.2616, weighted_recall: 0.862, number_of_instances: 2109, precision: 0.8397, predictive_accuracy: 0.862, prior_entropy: 0.6212, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8899, unweighted_recall: 0.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.8342, kappa: 0.3269, kb_relative_information_score: 0.1074, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8459, number_of_instances: 2109, precision: 0.8278, predictive_accuracy: 0.8459, prior_entropy: 0.6212, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9157, unweighted_recall: 0.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.8398, kappa: 0.3292, kb_relative_information_score: 0.0882, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8592, number_of_instances: 2109, precision: 0.8371, predictive_accuracy: 0.8592, prior_entropy: 0.6212, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.8967, unweighted_recall: 0.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8329, kappa: 0.3199, kb_relative_information_score: 0.0986, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8454, number_of_instances: 2109, precision: 0.8264, predictive_accuracy: 0.8454, prior_entropy: 0.6212, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.334, root_relative_squared_error: 0.924, unweighted_recall: 0.6391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8448, kappa: 0.3513, kb_relative_information_score: 0.0964, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2616, weighted_recall: 0.863, number_of_instances: 2109, precision: 0.8427, predictive_accuracy: 0.863, prior_entropy: 0.6212, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.8865, unweighted_recall: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.848, kappa: 0.3576, kb_relative_information_score: 0.0865, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8691, number_of_instances: 2109, precision: 0.8509, predictive_accuracy: 0.8691, prior_entropy: 0.6212, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8846, unweighted_recall: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8181, kappa: 0.2142, kb_relative_information_score: 0.0264, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8525, number_of_instances: 2109, precision: 0.8214, predictive_accuracy: 0.8525, prior_entropy: 0.6212, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.9034, unweighted_recall: 0.5769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8391, kappa: 0.334, kb_relative_information_score: 0.108, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8342, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.8997, unweighted_recall: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8481, kappa: 0.3641, kb_relative_information_score: 0.1163, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8663, number_of_instances: 2109, precision: 0.8472, predictive_accuracy: 0.8663, prior_entropy: 0.6212, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8789, unweighted_recall: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8461, kappa: 0.3593, kb_relative_information_score: 0.1088, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2616, weighted_recall: 0.863, number_of_instances: 2109, precision: 0.8434, predictive_accuracy: 0.863, prior_entropy: 0.6212, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8858, unweighted_recall: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8501, kappa: 0.3826, kb_relative_information_score: 0.1307, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8639, number_of_instances: 2109, precision: 0.8464, predictive_accuracy: 0.8639, prior_entropy: 0.6212, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8896, unweighted_recall: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8239, kappa: 0.2395, kb_relative_information_score: 0.0317, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8573, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8573, prior_entropy: 0.6212, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9046, unweighted_recall: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.8392, kappa: 0.3165, kb_relative_information_score: 0.077, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8634, number_of_instances: 2109, precision: 0.8419, predictive_accuracy: 0.8634, prior_entropy: 0.6212, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.8869, unweighted_recall: 0.6209,

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

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

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

OpenML APIs