Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 133465 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: 0.6714, f_measure: 0.5972, kappa: 0.0976, kb_relative_information_score: 0.076, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6432, number_of_instances: 768, precision: 0.6043, predictive_accuracy: 0.6432, prior_entropy: 0.9331, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9785, unweighted_recall: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7623, kappa: 0.4657, kb_relative_information_score: 0.3247, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.7676, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, unweighted_recall: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.643, kappa: 0.1955, kb_relative_information_score: 0.132, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6693, number_of_instances: 768, precision: 0.6467, predictive_accuracy: 0.6693, prior_entropy: 0.9331, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9432, unweighted_recall: 0.5884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.735, kappa: 0.4038, kb_relative_information_score: 0.2443, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7474, number_of_instances: 768, precision: 0.7403, predictive_accuracy: 0.7474, prior_entropy: 0.9331, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.87, unweighted_recall: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7411, kappa: 0.4528, kb_relative_information_score: 0.2208, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7357, number_of_instances: 768, precision: 0.7597, predictive_accuracy: 0.7357, prior_entropy: 0.9331, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8941, unweighted_recall: 0.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7596, kappa: 0.4596, kb_relative_information_score: 0.3184, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7695, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9331, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.833, unweighted_recall: 0.7157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6821, kappa: 0.2836, kb_relative_information_score: 0.1408, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7018, number_of_instances: 768, precision: 0.6876, predictive_accuracy: 0.7018, prior_entropy: 0.9331, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.929, unweighted_recall: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.755, kappa: 0.4514, kb_relative_information_score: 0.3235, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7617, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9331, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8337, unweighted_recall: 0.7157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7647, kappa: 0.4725, kb_relative_information_score: 0.3261, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8311, unweighted_recall: 0.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7565, kappa: 0.4549, kb_relative_information_score: 0.3233, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, weighted_recall: 0.763, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9331, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, unweighted_recall: 0.7176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6415, kappa: 0.1924, kb_relative_information_score: 0.0808, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6693, number_of_instances: 768, precision: 0.6463, predictive_accuracy: 0.6693, prior_entropy: 0.9331, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9764, unweighted_recall: 0.5867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.763, kappa: 0.4676, kb_relative_information_score: 0.3163, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.835, unweighted_recall: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.754, kappa: 0.4484, kb_relative_information_score: 0.3001, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7617, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7617, prior_entropy: 0.9331, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8462, unweighted_recall: 0.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.5793, kappa: 0.0674, kb_relative_information_score: 0.0771, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6419, number_of_instances: 768, precision: 0.5941, predictive_accuracy: 0.6419, prior_entropy: 0.9331, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9729, unweighted_recall: 0.5285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.749, kappa: 0.435, kb_relative_information_score: 0.2991, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7617, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.7617, prior_entropy: 0.9331, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, unweighted_recall: 0.7019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7638, kappa: 0.4692, kb_relative_information_score: 0.3242, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8297, unweighted_recall: 0.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.5249, kappa: 0.0111, kb_relative_information_score: 0.0106, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, precision: 0.5996, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9949, unweighted_recall: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7487, kappa: 0.4357, kb_relative_information_score: 0.2813, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7578, number_of_instances: 768, precision: 0.7514, predictive_accuracy: 0.7578, prior_entropy: 0.9331, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8459, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7557, kappa: 0.4585, kb_relative_information_score: 0.3062, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7578, number_of_instances: 768, precision: 0.7546, predictive_accuracy: 0.7578, prior_entropy: 0.9331, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8462, unweighted_recall: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7619, kappa: 0.4647, kb_relative_information_score: 0.3231, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8301, unweighted_recall: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6678, kappa: 0.254, kb_relative_information_score: 0.1311, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7018, number_of_instances: 768, precision: 0.6908, predictive_accuracy: 0.7018, prior_entropy: 0.9331, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9356, unweighted_recall: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.5194, kappa: -0.0039, kb_relative_information_score: 0.0149, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6445, number_of_instances: 768, precision: 0.5308, predictive_accuracy: 0.6445, prior_entropy: 0.9331, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9895, unweighted_recall: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.765, kappa: 0.4718, kb_relative_information_score: 0.3245, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7747, number_of_instances: 768, precision: 0.7706, predictive_accuracy: 0.7747, prior_entropy: 0.9331, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, unweighted_recall: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 0.3254, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7695, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9331, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8303, unweighted_recall: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7618, kappa: 0.4651, kb_relative_information_score: 0.3165, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7708, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7708, prior_entropy: 0.9331, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8353, unweighted_recall: 0.7193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.668, kappa: 0.2521, kb_relative_information_score: 0.134, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4545, weighted_recall: 0.694, number_of_instances: 768, precision: 0.6779, predictive_accuracy: 0.694, prior_entropy: 0.9331, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9288, unweighted_recall: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7654, kappa: 0.4727, kb_relative_information_score: 0.3188, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7747, number_of_instances: 768, precision: 0.7704, predictive_accuracy: 0.7747, prior_entropy: 0.9331, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, unweighted_recall: 0.7223,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7623, kappa: 0.4657, kb_relative_information_score: 0.325, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.7676, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, unweighted_recall: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7541, kappa: 0.4463, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7669, number_of_instances: 768, precision: 0.7635, predictive_accuracy: 0.7669, prior_entropy: 0.9331, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8414, unweighted_recall: 0.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.762, kappa: 0.4664, kb_relative_information_score: 0.3232, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7695, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9331, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, unweighted_recall: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7654, kappa: 0.4727, kb_relative_information_score: 0.3198, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7747, number_of_instances: 768, precision: 0.7704, predictive_accuracy: 0.7747, prior_entropy: 0.9331, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.833, unweighted_recall: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7654, kappa: 0.4727, kb_relative_information_score: 0.3193, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7747, number_of_instances: 768, precision: 0.7704, predictive_accuracy: 0.7747, prior_entropy: 0.9331, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, unweighted_recall: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7627, kappa: 0.4666, kb_relative_information_score: 0.3165, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8353, unweighted_recall: 0.7194,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.6821, kappa: 0.2841, kb_relative_information_score: 0.1471, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6992, number_of_instances: 768, precision: 0.6848, predictive_accuracy: 0.6992, prior_entropy: 0.9331, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9261, unweighted_recall: 0.6314,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.5158, kappa: 0.0022, kb_relative_information_score: 0.072, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, precision: 0.5986, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9484, unweighted_recall: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7669, kappa: 0.4779, kb_relative_information_score: 0.3336, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, unweighted_recall: 0.7282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3294, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3294, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3324, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.5158, kappa: 0.0022, kb_relative_information_score: 0.072, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, precision: 0.5986, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9484, unweighted_recall: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.5158, kappa: 0.0022, kb_relative_information_score: 0.072, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, precision: 0.5986, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9484, unweighted_recall: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.759, kappa: 0.4594, kb_relative_information_score: 0.3222, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7669, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9331, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8435, unweighted_recall: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3294, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3294, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3294, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3294, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3294, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3324, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 0.3294, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7302,

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