Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7524, kappa: 0.4469, kb_relative_information_score: 0.2951, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7519, predictive_accuracy: 0.7578, prior_entropy: 0.9331, recall: 0.7578, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7096, kappa: 0.3583, kb_relative_information_score: 0.3487, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7085, predictive_accuracy: 0.7109, prior_entropy: 0.9331, recall: 0.7109, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.754, kappa: 0.4484, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7574, kappa: 0.4592, kb_relative_information_score: 0.3583, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7565, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7497, kappa: 0.444, kb_relative_information_score: 0.375, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7526, prior_entropy: 0.9331, recall: 0.7526, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7703, kappa: 0.489, kb_relative_information_score: 0.3554, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7693, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7262, kappa: 0.3904, kb_relative_information_score: 0.3827, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7245, predictive_accuracy: 0.7305, prior_entropy: 0.9331, recall: 0.7305, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.758, kappa: 0.4565, kb_relative_information_score: 0.3221, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7614, predictive_accuracy: 0.7669, prior_entropy: 0.9331, recall: 0.7669, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7698, kappa: 0.4872, kb_relative_information_score: 0.3659, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7195, kappa: 0.3792, kb_relative_information_score: 0.2592, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7182, predictive_accuracy: 0.7214, prior_entropy: 0.9331, recall: 0.7214, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7371, kappa: 0.4133, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7358, predictive_accuracy: 0.7422, prior_entropy: 0.9331, recall: 0.7422, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6993, kappa: 0.3386, kb_relative_information_score: 0.3111, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6995, predictive_accuracy: 0.6992, prior_entropy: 0.9331, recall: 0.6992, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7072, kappa: 0.3411, kb_relative_information_score: 0.2611, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7106, predictive_accuracy: 0.7214, prior_entropy: 0.9331, recall: 0.7214, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7698, kappa: 0.4872, kb_relative_information_score: 0.3659, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6993, kappa: 0.3386, kb_relative_information_score: 0.3111, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6995, predictive_accuracy: 0.6992, prior_entropy: 0.9331, recall: 0.6992, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7072, kappa: 0.3411, kb_relative_information_score: 0.2611, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7106, predictive_accuracy: 0.7214, prior_entropy: 0.9331, recall: 0.7214, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7195, kappa: 0.3792, kb_relative_information_score: 0.2592, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7182, predictive_accuracy: 0.7214, prior_entropy: 0.9331, recall: 0.7214, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7371, kappa: 0.4133, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7358, predictive_accuracy: 0.7422, prior_entropy: 0.9331, recall: 0.7422, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7485, kappa: 0.4415, kb_relative_information_score: 0.3592, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7472, predictive_accuracy: 0.7513, prior_entropy: 0.9331, recall: 0.7513, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7096, kappa: 0.3583, kb_relative_information_score: 0.3487, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7085, predictive_accuracy: 0.7109, prior_entropy: 0.9331, recall: 0.7109, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7485, kappa: 0.4415, kb_relative_information_score: 0.3592, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7472, predictive_accuracy: 0.7513, prior_entropy: 0.9331, recall: 0.7513, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7498, kappa: 0.4371, kb_relative_information_score: 0.2424, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7567, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7244, kappa: 0.3811, kb_relative_information_score: 0.3032, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7256, predictive_accuracy: 0.7344, prior_entropy: 0.9331, recall: 0.7344, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.724, kappa: 0.3809, kb_relative_information_score: 0.2752, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7244, predictive_accuracy: 0.7331, prior_entropy: 0.9331, recall: 0.7331, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7494, kappa: 0.4378, kb_relative_information_score: 0.3291, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7578, prior_entropy: 0.9331, recall: 0.7578, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7133, kappa: 0.3621, kb_relative_information_score: 0.1738, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7114, predictive_accuracy: 0.7174, prior_entropy: 0.9331, recall: 0.7174, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7133, kappa: 0.3621, kb_relative_information_score: 0.1738, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7114, predictive_accuracy: 0.7174, prior_entropy: 0.9331, recall: 0.7174, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7589, kappa: 0.4626, kb_relative_information_score: 0.3312, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.758, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 0.3353, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9331, recall: 0.7669, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7484, kappa: 0.4369, kb_relative_information_score: 0.2754, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7487, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 0.3143, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9331, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7638, kappa: 0.4692, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 0.3634, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9331, recall: 0.7591, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.6803, kappa: 0.2949, kb_relative_information_score: 0.2693, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6796, predictive_accuracy: 0.681, prior_entropy: 0.9331, recall: 0.681, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6815, kappa: 0.293, kb_relative_information_score: 0.2783, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6793, predictive_accuracy: 0.6849, prior_entropy: 0.9331, recall: 0.6849, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1777,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.4699, kappa: -0.1695, kb_relative_information_score: -0.2108, mean_absolute_error: 0.5286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4686, predictive_accuracy: 0.4714, prior_entropy: 0.9331, recall: 0.4714, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7271, root_relative_squared_error: 1.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5078, kappa: -0.0232, kb_relative_information_score: 0.1739, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4212, predictive_accuracy: 0.6393, prior_entropy: 0.9331, recall: 0.6393, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6006, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,

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