OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14566 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14566 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9604, kappa: 0.9588, kb_relative_information_score: 0.9667, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9606, predictive_accuracy: 0.9604, prior_entropy: 4.7004, recall: 0.9604, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9515, kappa: 0.9496, kb_relative_information_score: 0.955, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9517, predictive_accuracy: 0.9515, prior_entropy: 4.7004, recall: 0.9515, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9604, kappa: 0.9588, kb_relative_information_score: 0.9645, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9605, predictive_accuracy: 0.9604, prior_entropy: 4.7004, recall: 0.9604, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.2499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.964, kappa: 0.9625, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 4.7004, recall: 0.964, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.047, root_relative_squared_error: 0.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9613, kappa: 0.9597, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.2521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9434, kappa: 0.9412, kb_relative_information_score: 0.9331, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9438, predictive_accuracy: 0.9434, prior_entropy: 4.7004, recall: 0.9434, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9568, kappa: 0.955, kb_relative_information_score: 0.9586, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 4.7004, recall: 0.9568, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9578, kappa: 0.956, kb_relative_information_score: 0.9654, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9581, predictive_accuracy: 0.9577, prior_entropy: 4.7004, recall: 0.9577, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.963, kappa: 0.9615, kb_relative_information_score: 0.969, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9632, predictive_accuracy: 0.9629, prior_entropy: 4.7004, recall: 0.9629, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9615, kappa: 0.96, kb_relative_information_score: 0.9663, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9617, predictive_accuracy: 0.9615, prior_entropy: 4.7004, recall: 0.9615, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9589, kappa: 0.9572, kb_relative_information_score: 0.9623, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 4.7004, recall: 0.9588, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8827, kappa: 0.8647, kb_relative_information_score: 0.8758, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9098, predictive_accuracy: 0.8699, prior_entropy: 4.7004, recall: 0.8699, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9496, kappa: 0.9476, kb_relative_information_score: 0.9436, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9498, predictive_accuracy: 0.9496, prior_entropy: 4.7004, recall: 0.9496, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.056, root_relative_squared_error: 0.2913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9599, kappa: 0.9583, kb_relative_information_score: 0.9652, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9601, predictive_accuracy: 0.9599, prior_entropy: 4.7004, recall: 0.9599, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.2567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9542, kappa: 0.9524, kb_relative_information_score: 0.9489, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9544, predictive_accuracy: 0.9542, prior_entropy: 4.7004, recall: 0.9542, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9565, kappa: 0.9548, kb_relative_information_score: 0.9619, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9567, predictive_accuracy: 0.9565, prior_entropy: 4.7004, recall: 0.9565, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.941, kappa: 0.9386, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9414, predictive_accuracy: 0.941, prior_entropy: 4.7004, recall: 0.941, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9451, kappa: 0.9429, kb_relative_information_score: 0.9412, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9452, predictive_accuracy: 0.9451, prior_entropy: 4.7004, recall: 0.9451, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.3034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.964, kappa: 0.9625, kb_relative_information_score: 0.9689, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 4.7004, recall: 0.964, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.957, kappa: 0.9553, kb_relative_information_score: 0.9609, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9572, predictive_accuracy: 0.957, prior_entropy: 4.7004, recall: 0.957, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.2616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9513, kappa: 0.9493, kb_relative_information_score: 0.955, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9515, predictive_accuracy: 0.9513, prior_entropy: 4.7004, recall: 0.9513, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9517, kappa: 0.9497, kb_relative_information_score: 0.9495, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9519, predictive_accuracy: 0.9516, prior_entropy: 4.7004, recall: 0.9516, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.2776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9329, kappa: 0.9304, kb_relative_information_score: 0.9431, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9334, predictive_accuracy: 0.9331, prior_entropy: 4.7004, recall: 0.9331, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9469, kappa: 0.9448, kb_relative_information_score: 0.9532, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9472, predictive_accuracy: 0.9469, prior_entropy: 4.7004, recall: 0.9469, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9576, kappa: 0.9558, kb_relative_information_score: 0.9638, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9577, predictive_accuracy: 0.9575, prior_entropy: 4.7004, recall: 0.9575, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.2679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9638, kappa: 0.9624, kb_relative_information_score: 0.9697, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.964, predictive_accuracy: 0.9638, prior_entropy: 4.7004, recall: 0.9638, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9651, kappa: 0.9637, kb_relative_information_score: 0.9701, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 4.7004, recall: 0.9651, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9648, kappa: 0.9633, kb_relative_information_score: 0.9696, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.965, predictive_accuracy: 0.9647, prior_entropy: 4.7004, recall: 0.9647, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.7817, kappa: 0.776, kb_relative_information_score: 0.3281, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7933, predictive_accuracy: 0.7847, prior_entropy: 4.7004, recall: 0.7847, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9658, kappa: 0.9644, kb_relative_information_score: 0.9713, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9659, predictive_accuracy: 0.9658, prior_entropy: 4.7004, recall: 0.9658, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.2397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9605, kappa: 0.9589, kb_relative_information_score: 0.9657, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 4.7004, recall: 0.9605, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.2516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9207, kappa: 0.9174, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9209, predictive_accuracy: 0.9206, prior_entropy: 4.7004, recall: 0.9206, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9642, kappa: 0.9628, kb_relative_information_score: 0.9706, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 4.7004, recall: 0.9642, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.2417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9618, kappa: 0.9603, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.962, predictive_accuracy: 0.9618, prior_entropy: 4.7004, recall: 0.9618, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9568, kappa: 0.955, kb_relative_information_score: 0.9597, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 4.7004, recall: 0.9568, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.2604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.966, kappa: 0.9647, kb_relative_information_score: 0.971, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9662, predictive_accuracy: 0.966, prior_entropy: 4.7004, recall: 0.966, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.2386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9507, kappa: 0.9488, kb_relative_information_score: 0.9374, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 4.7004, recall: 0.9508, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9546, kappa: 0.9528, kb_relative_information_score: 0.9571, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9547, predictive_accuracy: 0.9546, prior_entropy: 4.7004, recall: 0.9546, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9642, kappa: 0.9628, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 4.7004, recall: 0.9642, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9646, kappa: 0.9632, kb_relative_information_score: 0.9701, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9648, predictive_accuracy: 0.9646, prior_entropy: 4.7004, recall: 0.9646, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 0.9706, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9643, predictive_accuracy: 0.9641, prior_entropy: 4.7004, recall: 0.9641, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9653, kappa: 0.9639, kb_relative_information_score: 0.9702, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9655, predictive_accuracy: 0.9652, prior_entropy: 4.7004, recall: 0.9652, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9471, kappa: 0.945, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9474, predictive_accuracy: 0.9472, prior_entropy: 4.7004, recall: 0.9472, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.2957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9543, kappa: 0.9525, kb_relative_information_score: 0.9611, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9545, predictive_accuracy: 0.9543, prior_entropy: 4.7004, recall: 0.9543, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9574, kappa: 0.9557, kb_relative_information_score: 0.9623, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 4.7004, recall: 0.9574, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9507, kappa: 0.9488, kb_relative_information_score: 0.9568, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 4.7004, recall: 0.9508, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9576, kappa: 0.9558, kb_relative_information_score: 0.9601, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9578, predictive_accuracy: 0.9575, prior_entropy: 4.7004, recall: 0.9575, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.05, root_relative_squared_error: 0.2599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9608, kappa: 0.9592, kb_relative_information_score: 0.9662, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9609, predictive_accuracy: 0.9608, prior_entropy: 4.7004, recall: 0.9608, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9605, kappa: 0.9589, kb_relative_information_score: 0.9662, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9608, predictive_accuracy: 0.9605, prior_entropy: 4.7004, recall: 0.9605, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.964, kappa: 0.9625, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 4.7004, recall: 0.964, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9574, kappa: 0.9557, kb_relative_information_score: 0.9639, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9576, predictive_accuracy: 0.9574, prior_entropy: 4.7004, recall: 0.9574, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9583, kappa: 0.9566, kb_relative_information_score: 0.9639, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 4.7004, recall: 0.9583, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.956, kappa: 0.9542, kb_relative_information_score: 0.961, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 4.7004, recall: 0.956, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.2739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9386, kappa: 0.9361, kb_relative_information_score: 0.9411, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9389, predictive_accuracy: 0.9386, prior_entropy: 4.7004, recall: 0.9386, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9572, kappa: 0.9554, kb_relative_information_score: 0.9631, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9574, predictive_accuracy: 0.9572, prior_entropy: 4.7004, recall: 0.9572, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9657, kappa: 0.9643, kb_relative_information_score: 0.9711, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9659, predictive_accuracy: 0.9656, prior_entropy: 4.7004, recall: 0.9656, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9482, kappa: 0.9461, kb_relative_information_score: 0.9505, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9485, predictive_accuracy: 0.9482, prior_entropy: 4.7004, recall: 0.9482, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.2938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.948, kappa: 0.946, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9483, predictive_accuracy: 0.9481, prior_entropy: 4.7004, recall: 0.9481, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.2953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9478, kappa: 0.9457, kb_relative_information_score: 0.9406, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.948, predictive_accuracy: 0.9478, prior_entropy: 4.7004, recall: 0.9478, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.2969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.962, kappa: 0.9605, kb_relative_information_score: 0.9675, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 4.7004, recall: 0.962, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9135, kappa: 0.9101, kb_relative_information_score: 0.6095, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9139, predictive_accuracy: 0.9136, prior_entropy: 4.7004, recall: 0.9136, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.7225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9644, kappa: 0.9629, kb_relative_information_score: 0.9709, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9646, predictive_accuracy: 0.9643, prior_entropy: 4.7004, recall: 0.9643, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.2412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9568, kappa: 0.955, kb_relative_information_score: 0.9612, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 4.7004, recall: 0.9568, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9154, kappa: 0.9121, kb_relative_information_score: 0.9145, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9181, predictive_accuracy: 0.9155, prior_entropy: 4.7004, recall: 0.9155, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9178, kappa: 0.9146, kb_relative_information_score: 0.9169, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9198, predictive_accuracy: 0.9179, prior_entropy: 4.7004, recall: 0.9179, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9467, kappa: 0.9446, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9474, predictive_accuracy: 0.9468, prior_entropy: 4.7004, recall: 0.9468, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.064, root_relative_squared_error: 0.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9159, kappa: 0.9126, kb_relative_information_score: 0.915, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9182, predictive_accuracy: 0.916, prior_entropy: 4.7004, recall: 0.916, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9451, kappa: 0.9432, kb_relative_information_score: 0.9447, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9465, predictive_accuracy: 0.9454, prior_entropy: 4.7004, recall: 0.9454, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9452, kappa: 0.9432, kb_relative_information_score: 0.9447, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9464, predictive_accuracy: 0.9454, prior_entropy: 4.7004, recall: 0.9454, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9459, kappa: 0.9438, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9467, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9199, kappa: 0.9168, kb_relative_information_score: 0.919, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9221, predictive_accuracy: 0.92, prior_entropy: 4.7004, recall: 0.92, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9455, kappa: 0.9434, kb_relative_information_score: 0.945, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9466, predictive_accuracy: 0.9456, prior_entropy: 4.7004, recall: 0.9456, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9471, kappa: 0.9452, kb_relative_information_score: 0.9467, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9479, predictive_accuracy: 0.9473, prior_entropy: 4.7004, recall: 0.9473, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9166, kappa: 0.9133, kb_relative_information_score: 0.9156, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9194, predictive_accuracy: 0.9166, prior_entropy: 4.7004, recall: 0.9166, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.918, kappa: 0.9146, kb_relative_information_score: 0.9169, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9215, predictive_accuracy: 0.9179, prior_entropy: 4.7004, recall: 0.9179, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9445, kappa: 0.9425, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9454, predictive_accuracy: 0.9447, prior_entropy: 4.7004, recall: 0.9447, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9184, kappa: 0.9153, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9215, predictive_accuracy: 0.9186, prior_entropy: 4.7004, recall: 0.9186, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9186, kappa: 0.9154, kb_relative_information_score: 0.9177, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9213, predictive_accuracy: 0.9187, prior_entropy: 4.7004, recall: 0.9187, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9464, kappa: 0.9444, kb_relative_information_score: 0.9459, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9472, predictive_accuracy: 0.9465, prior_entropy: 4.7004, recall: 0.9465, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9455, kappa: 0.9434, kb_relative_information_score: 0.945, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9464, predictive_accuracy: 0.9456, prior_entropy: 4.7004, recall: 0.9456, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9174, kappa: 0.9142, kb_relative_information_score: 0.9165, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9202, predictive_accuracy: 0.9175, prior_entropy: 4.7004, recall: 0.9175, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.944, kappa: 0.9417, kb_relative_information_score: 0.9433, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9458, predictive_accuracy: 0.944, prior_entropy: 4.7004, recall: 0.944, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9458, kappa: 0.9437, kb_relative_information_score: 0.9452, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.9459, prior_entropy: 4.7004, recall: 0.9459, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.3355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9163, kappa: 0.9132, kb_relative_information_score: 0.9155, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9189, predictive_accuracy: 0.9165, prior_entropy: 4.7004, recall: 0.9165, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.946, kappa: 0.944, kb_relative_information_score: 0.9455, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9466, predictive_accuracy: 0.9461, prior_entropy: 4.7004, recall: 0.9461, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9178, kappa: 0.9146, kb_relative_information_score: 0.9169, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9205, predictive_accuracy: 0.9179, prior_entropy: 4.7004, recall: 0.9179, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9449, kappa: 0.9429, kb_relative_information_score: 0.9444, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.946, predictive_accuracy: 0.9451, prior_entropy: 4.7004, recall: 0.9451, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.065, root_relative_squared_error: 0.3379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9188, kappa: 0.9157, kb_relative_information_score: 0.918, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9208, predictive_accuracy: 0.9189, prior_entropy: 4.7004, recall: 0.9189, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.079, root_relative_squared_error: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9161, kappa: 0.913, kb_relative_information_score: 0.9154, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9186, predictive_accuracy: 0.9164, prior_entropy: 4.7004, recall: 0.9164, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9189, kappa: 0.9156, kb_relative_information_score: 0.9279, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9192, predictive_accuracy: 0.9188, prior_entropy: 4.7004, recall: 0.9188, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9189, kappa: 0.9156, kb_relative_information_score: 0.9279, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9192, predictive_accuracy: 0.9188, prior_entropy: 4.7004, recall: 0.9188, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9621, kappa: 0.9605, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 4.7004, recall: 0.962, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.048, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9621, kappa: 0.9605, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 4.7004, recall: 0.962, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.048, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9583, kappa: 0.9566, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 4.7004, recall: 0.9583, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9583, kappa: 0.9566, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 4.7004, recall: 0.9583, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9571, kappa: 0.9553, kb_relative_information_score: 0.9615, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9572, predictive_accuracy: 0.957, prior_entropy: 4.7004, recall: 0.957, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9571, kappa: 0.9553, kb_relative_information_score: 0.9615, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9572, predictive_accuracy: 0.957, prior_entropy: 4.7004, recall: 0.957, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.937, kappa: 0.9345, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9374, predictive_accuracy: 0.937, prior_entropy: 4.7004, recall: 0.937, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.3346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.937, kappa: 0.9345, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9374, predictive_accuracy: 0.937, prior_entropy: 4.7004, recall: 0.937, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.3346,

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

OpenML APIs