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: 0.6213, kappa: 0.2681, kb_relative_information_score: 0.3257, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5028, prior_entropy: 2.4107, recall: 0.5028, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4103, f_measure: 0.0623, kappa: -0.1789, kb_relative_information_score: -0.0913, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.1189, predictive_accuracy: 0.0629, prior_entropy: 2.4107, recall: 0.0629, relative_absolute_error: 1.2042, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.5522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7495, kappa: 0.6783, kb_relative_information_score: 0.7208, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.751, 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: 0.8235, f_measure: 0.7407, kappa: 0.6641, kb_relative_information_score: 0.7035, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7462, predictive_accuracy: 0.7409, prior_entropy: 2.4107, recall: 0.7409, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.6766, kappa: 0.6004, kb_relative_information_score: 0.6204, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7001, predictive_accuracy: 0.6991, prior_entropy: 2.4107, recall: 0.6991, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7491, kappa: 0.6771, kb_relative_information_score: 0.7189, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7511, predictive_accuracy: 0.7491, prior_entropy: 2.4107, recall: 0.7491, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.761, kappa: 0.6927, kb_relative_information_score: 0.7313, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7631, predictive_accuracy: 0.7609, prior_entropy: 2.4107, recall: 0.7609, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7662, kappa: 0.6977, kb_relative_information_score: 0.7332, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7688, predictive_accuracy: 0.7656, prior_entropy: 2.4107, recall: 0.7656, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.5813, kappa: 0.455, kb_relative_information_score: 0.5055, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.5874, predictive_accuracy: 0.5801, prior_entropy: 2.4107, recall: 0.5801, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7157, kappa: 0.6335, kb_relative_information_score: 0.6742, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7174, predictive_accuracy: 0.7161, prior_entropy: 2.4107, recall: 0.7161, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7233, kappa: 0.6427, kb_relative_information_score: 0.6818, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7246, 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: 0.8104, f_measure: 0.7186, kappa: 0.6365, kb_relative_information_score: 0.6765, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7202, predictive_accuracy: 0.7187, prior_entropy: 2.4107, recall: 0.7187, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.8504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7163, kappa: 0.6342, kb_relative_information_score: 0.6745, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7174, predictive_accuracy: 0.7161, prior_entropy: 2.4107, recall: 0.7161, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, kappa: 0.4877, kb_relative_information_score: 0.5033, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6239, prior_entropy: 2.4107, recall: 0.6239, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7606, kappa: 0.6904, kb_relative_information_score: 0.7288, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7628, predictive_accuracy: 0.7599, prior_entropy: 2.4107, recall: 0.7599, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7617, kappa: 0.6933, kb_relative_information_score: 0.7331, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7629, 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: 0.8399, f_measure: 0.7621, kappa: 0.6929, kb_relative_information_score: 0.7321, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7637, 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: 0.8209, f_measure: 0.7272, kappa: 0.6524, kb_relative_information_score: 0.6974, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7298, 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: 0.8202, f_measure: 0.7264, kappa: 0.6513, kb_relative_information_score: 0.6958, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7281, predictive_accuracy: 0.7275, prior_entropy: 2.4107, recall: 0.7275, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.6803, kappa: 0.5793, kb_relative_information_score: 0.6104, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7401, predictive_accuracy: 0.6909, prior_entropy: 2.4107, recall: 0.6909, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.8915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.6918, kappa: 0.5953, kb_relative_information_score: 0.6257, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.743, predictive_accuracy: 0.7012, prior_entropy: 2.4107, recall: 0.7012, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6556, kappa: 0.5465, kb_relative_information_score: 0.5795, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7331, predictive_accuracy: 0.6698, prior_entropy: 2.4107, recall: 0.6698, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7532, kappa: 0.68, kb_relative_information_score: 0.7118, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.758, 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: 0.7624, f_measure: 0.665, kappa: 0.5594, kb_relative_information_score: 0.59, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.733, predictive_accuracy: 0.678, prior_entropy: 2.4107, recall: 0.678, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7334, kappa: 0.655, kb_relative_information_score: 0.6936, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7352, predictive_accuracy: 0.7326, prior_entropy: 2.4107, recall: 0.7326, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7416, kappa: 0.6659, kb_relative_information_score: 0.7056, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7432, predictive_accuracy: 0.7409, prior_entropy: 2.4107, recall: 0.7409, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.734, kappa: 0.6561, kb_relative_information_score: 0.6943, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.736, predictive_accuracy: 0.7336, prior_entropy: 2.4107, recall: 0.7336, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7348, kappa: 0.6566, kb_relative_information_score: 0.6943, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7369, predictive_accuracy: 0.7342, prior_entropy: 2.4107, recall: 0.7342, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7339, kappa: 0.6554, kb_relative_information_score: 0.6938, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7358, 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: 0.828, 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: 0.8292, 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: 0.81, 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: 0.8082, 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: 0.8252, 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: 0.8365, 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: 0.8319, 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: 0.8287, 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: 0.735, f_measure: 0.6238, kappa: 0.5077, kb_relative_information_score: 0.5409, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7371, predictive_accuracy: 0.6466, prior_entropy: 2.4107, recall: 0.6466, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9532,
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: 0.7848, 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: 0.8005, 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: 0.5932, 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: 0.82, 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,
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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,
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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: 0.8177, f_measure: 0.7303, kappa: 0.6507, kb_relative_information_score: 0.6898, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7324, predictive_accuracy: 0.7295, prior_entropy: 2.4107, recall: 0.7295, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.278, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7195, kappa: 0.6377, kb_relative_information_score: 0.6775, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7224, predictive_accuracy: 0.7197, prior_entropy: 2.4107, recall: 0.7197, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.283, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, kappa: 0.2661, kb_relative_information_score: 0.3243, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5018, prior_entropy: 2.4107, recall: 0.5018, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.1317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7619, kappa: 0.6931, kb_relative_information_score: 0.7275, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7627, 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: 0.8391, f_measure: 0.7595, kappa: 0.69, kb_relative_information_score: 0.7253, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7604, 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: 0.8389, f_measure: 0.7574, kappa: 0.6888, kb_relative_information_score: 0.726, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7577, predictive_accuracy: 0.7579, prior_entropy: 2.4107, recall: 0.7579, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.263, root_relative_squared_error: 0.789,

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