OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 146817 Supervised Classification steel-plates-fault 9051 runs submitted
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9051 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7597, kappa: 0.6895, kb_relative_information_score: 0.7283, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7618, predictive_accuracy: 0.7589, prior_entropy: 2.4107, recall: 0.7589, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7647, kappa: 0.696, kb_relative_information_score: 0.7339, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7667, predictive_accuracy: 0.764, prior_entropy: 2.4107, recall: 0.764, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.672, kappa: 0.5684, kb_relative_information_score: 0.5996, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7355, predictive_accuracy: 0.6837, prior_entropy: 2.4107, recall: 0.6837, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7642, kappa: 0.6936, kb_relative_information_score: 0.7255, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7699, predictive_accuracy: 0.7646, prior_entropy: 2.4107, recall: 0.7646, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7758, kappa: 0.7108, kb_relative_information_score: 0.7423, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7772, predictive_accuracy: 0.7764, prior_entropy: 2.4107, recall: 0.7764, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.6962, kappa: 0.6016, kb_relative_information_score: 0.6317, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7439, predictive_accuracy: 0.7053, prior_entropy: 2.4107, recall: 0.7053, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.754, kappa: 0.6815, kb_relative_information_score: 0.7191, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7571, predictive_accuracy: 0.7532, prior_entropy: 2.4107, recall: 0.7532, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7271, kappa: 0.6523, kb_relative_information_score: 0.6965, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7304, predictive_accuracy: 0.728, prior_entropy: 2.4107, recall: 0.728, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, kappa: 0.2023, kb_relative_information_score: 0.2744, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4389, prior_entropy: 2.4107, recall: 0.4389, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, kappa: 0.0447, kb_relative_information_score: 0.1808, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.372, prior_entropy: 2.4107, recall: 0.372, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.2707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7575, kappa: 0.686, kb_relative_information_score: 0.7234, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7604, predictive_accuracy: 0.7568, prior_entropy: 2.4107, recall: 0.7568, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.762, kappa: 0.6907, kb_relative_information_score: 0.7235, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7669, predictive_accuracy: 0.762, prior_entropy: 2.4107, recall: 0.762, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4617, kappa: 0.3266, kb_relative_information_score: 0.3772, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.4813, predictive_accuracy: 0.4611, prior_entropy: 2.4107, recall: 0.4611, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7168, kappa: 0.6298, kb_relative_information_score: 0.6606, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7483, predictive_accuracy: 0.7233, prior_entropy: 2.4107, recall: 0.7233, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, kappa: 0.204, kb_relative_information_score: 0.2765, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4389, prior_entropy: 2.4107, recall: 0.4389, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7246, kappa: 0.6486, kb_relative_information_score: 0.6725, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7504, predictive_accuracy: 0.7331, prior_entropy: 2.4107, recall: 0.7331, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7359, kappa: 0.6585, kb_relative_information_score: 0.6962, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7384, predictive_accuracy: 0.7357, prior_entropy: 2.4107, recall: 0.7357, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.3738, kappa: 0.1852, kb_relative_information_score: 0.258, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.3924, predictive_accuracy: 0.3962, prior_entropy: 2.4107, recall: 0.3962, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4154, root_relative_squared_error: 1.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.745, kappa: 0.6705, kb_relative_information_score: 0.7095, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7467, predictive_accuracy: 0.7445, prior_entropy: 2.4107, recall: 0.7445, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7678, kappa: 0.7, kb_relative_information_score: 0.7369, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7694, predictive_accuracy: 0.7671, prior_entropy: 2.4107, recall: 0.7671, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7472, kappa: 0.6712, kb_relative_information_score: 0.7026, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7569, predictive_accuracy: 0.7496, prior_entropy: 2.4107, recall: 0.7496, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7589, kappa: 0.6881, kb_relative_information_score: 0.7218, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7607, predictive_accuracy: 0.7594, prior_entropy: 2.4107, recall: 0.7594, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7393, kappa: 0.6679, kb_relative_information_score: 0.7108, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7422, predictive_accuracy: 0.7403, prior_entropy: 2.4107, recall: 0.7403, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.8171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7576, kappa: 0.6866, kb_relative_information_score: 0.7198, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7593, predictive_accuracy: 0.7584, prior_entropy: 2.4107, recall: 0.7584, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7553, kappa: 0.6832, kb_relative_information_score: 0.7216, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7573, predictive_accuracy: 0.7543, prior_entropy: 2.4107, recall: 0.7543, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.265, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7596, kappa: 0.6892, kb_relative_information_score: 0.7194, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7632, predictive_accuracy: 0.7615, prior_entropy: 2.4107, recall: 0.7615, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, kappa: 0.5573, kb_relative_information_score: 0.5822, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6692, prior_entropy: 2.4107, recall: 0.6692, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7466, kappa: 0.6727, kb_relative_information_score: 0.7123, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7482, predictive_accuracy: 0.746, prior_entropy: 2.4107, recall: 0.746, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7302, kappa: 0.6551, kb_relative_information_score: 0.6987, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7314, predictive_accuracy: 0.7311, prior_entropy: 2.4107, recall: 0.7311, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7548, kappa: 0.6824, kb_relative_information_score: 0.712, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7619, predictive_accuracy: 0.7573, prior_entropy: 2.4107, recall: 0.7573, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7387, kappa: 0.6668, kb_relative_information_score: 0.7086, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7415, predictive_accuracy: 0.7398, prior_entropy: 2.4107, recall: 0.7398, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.751, kappa: 0.6771, kb_relative_information_score: 0.707, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7593, predictive_accuracy: 0.7537, prior_entropy: 2.4107, recall: 0.7537, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7196, kappa: 0.6373, kb_relative_information_score: 0.6759, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.724, predictive_accuracy: 0.7202, prior_entropy: 2.4107, recall: 0.7202, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7341, kappa: 0.6603, kb_relative_information_score: 0.7043, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.735, predictive_accuracy: 0.7352, prior_entropy: 2.4107, recall: 0.7352, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, kappa: 0.2086, kb_relative_information_score: 0.2893, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4683, prior_entropy: 2.4107, recall: 0.4683, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7039, kappa: 0.624, kb_relative_information_score: 0.6746, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7081, predictive_accuracy: 0.7053, prior_entropy: 2.4107, recall: 0.7053, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7168, kappa: 0.6348, kb_relative_information_score: 0.6698, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7234, predictive_accuracy: 0.7192, prior_entropy: 2.4107, recall: 0.7192, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7682, kappa: 0.7, kb_relative_information_score: 0.7288, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7739, predictive_accuracy: 0.7702, prior_entropy: 2.4107, recall: 0.7702, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.653, kappa: 0.5606, kb_relative_information_score: 0.6145, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6548, predictive_accuracy: 0.6553, prior_entropy: 2.4107, recall: 0.6553, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7254, kappa: 0.6506, kb_relative_information_score: 0.6932, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7281, predictive_accuracy: 0.7269, prior_entropy: 2.4107, recall: 0.7269, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7555, kappa: 0.684, kb_relative_information_score: 0.7216, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7574, predictive_accuracy: 0.7548, prior_entropy: 2.4107, recall: 0.7548, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, kappa: 0.2893, kb_relative_information_score: 0.3406, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5142, prior_entropy: 2.4107, recall: 0.5142, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.6748, kappa: 0.596, kb_relative_information_score: 0.6188, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6921, predictive_accuracy: 0.695, prior_entropy: 2.4107, recall: 0.695, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, kappa: 0.4478, kb_relative_information_score: 0.4658, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6064, prior_entropy: 2.4107, recall: 0.6064, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, kappa: 0.4823, kb_relative_information_score: 0.4973, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6218, prior_entropy: 2.4107, recall: 0.6218, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.986,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, kappa: 0.5974, kb_relative_information_score: 0.6154, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6981, prior_entropy: 2.4107, recall: 0.6981, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.881,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7212, kappa: 0.6404, kb_relative_information_score: 0.68, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7241, predictive_accuracy: 0.7218, prior_entropy: 2.4107, recall: 0.7218, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.732, kappa: 0.6539, kb_relative_information_score: 0.6912, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7339, predictive_accuracy: 0.7321, prior_entropy: 2.4107, recall: 0.7321, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, kappa: 0.5073, kb_relative_information_score: 0.5243, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6368, prior_entropy: 2.4107, recall: 0.6368, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7039, kappa: 0.624, kb_relative_information_score: 0.6746, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7081, predictive_accuracy: 0.7053, prior_entropy: 2.4107, recall: 0.7053, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7114, kappa: 0.6282, kb_relative_information_score: 0.6676, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7127, predictive_accuracy: 0.711, prior_entropy: 2.4107, recall: 0.711, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.653, kappa: 0.5606, kb_relative_information_score: 0.6145, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6548, predictive_accuracy: 0.6553, prior_entropy: 2.4107, recall: 0.6553, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7555, kappa: 0.684, kb_relative_information_score: 0.7216, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7574, predictive_accuracy: 0.7548, prior_entropy: 2.4107, recall: 0.7548, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, kappa: 0.2893, kb_relative_information_score: 0.3406, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5142, prior_entropy: 2.4107, recall: 0.5142, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.6748, kappa: 0.596, kb_relative_information_score: 0.6188, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6921, predictive_accuracy: 0.695, prior_entropy: 2.4107, recall: 0.695, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.8855,

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