OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 16997 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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16997 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.973, kappa: 0.9719, kb_relative_information_score: 0.9608, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, weighted_recall: 0.9729, number_of_instances: 7797, precision: 0.973, predictive_accuracy: 0.9729, prior_entropy: 4.7004, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.2263, unweighted_recall: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9745, kappa: 0.9735, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, weighted_recall: 0.9745, number_of_instances: 7797, precision: 0.9746, predictive_accuracy: 0.9745, prior_entropy: 4.7004, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0429, root_relative_squared_error: 0.2229, unweighted_recall: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9554, kappa: 0.9536, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.074, weighted_recall: 0.9554, number_of_instances: 7797, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 4.7004, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.3489, unweighted_recall: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9401, kappa: 0.9377, kb_relative_information_score: 0.9407, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, weighted_recall: 0.9401, number_of_instances: 7797, precision: 0.9403, predictive_accuracy: 0.9401, prior_entropy: 4.7004, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.3442, unweighted_recall: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9623, kappa: 0.9608, kb_relative_information_score: 0.969, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, weighted_recall: 0.9623, number_of_instances: 7797, precision: 0.9624, predictive_accuracy: 0.9623, prior_entropy: 4.7004, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.2422, unweighted_recall: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9612, kappa: 0.9596, kb_relative_information_score: 0.9439, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, weighted_recall: 0.9611, number_of_instances: 7797, precision: 0.9614, predictive_accuracy: 0.9611, prior_entropy: 4.7004, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.2799, unweighted_recall: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9401, kappa: 0.9377, kb_relative_information_score: 0.9407, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, weighted_recall: 0.9401, number_of_instances: 7797, precision: 0.9403, predictive_accuracy: 0.9401, prior_entropy: 4.7004, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.3442, unweighted_recall: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9517, kappa: 0.9497, kb_relative_information_score: 0.949, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, weighted_recall: 0.9516, number_of_instances: 7797, precision: 0.9518, predictive_accuracy: 0.9516, prior_entropy: 4.7004, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.3008, unweighted_recall: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9497, kappa: 0.9476, kb_relative_information_score: 0.9481, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, weighted_recall: 0.9496, number_of_instances: 7797, precision: 0.9499, predictive_accuracy: 0.9496, prior_entropy: 4.7004, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.3076, unweighted_recall: 0.9496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9564, kappa: 0.9546, kb_relative_information_score: 0.9583, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, weighted_recall: 0.9564, number_of_instances: 7797, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 4.7004, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.2915, unweighted_recall: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9468, kappa: 0.9448, kb_relative_information_score: 0.6676, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.074, weighted_recall: 0.9469, number_of_instances: 7797, precision: 0.9471, predictive_accuracy: 0.9469, prior_entropy: 4.7004, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.6889, unweighted_recall: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, weighted_recall: 0.9601, number_of_instances: 7797, precision: 0.9602, predictive_accuracy: 0.9601, prior_entropy: 4.7004, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2691, unweighted_recall: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9554, kappa: 0.9536, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.074, weighted_recall: 0.9554, number_of_instances: 7797, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 4.7004, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.3489, unweighted_recall: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9559, kappa: 0.9541, kb_relative_information_score: 0.9586, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.074, weighted_recall: 0.9559, number_of_instances: 7797, precision: 0.956, predictive_accuracy: 0.9559, prior_entropy: 4.7004, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.2918, unweighted_recall: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9374, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2998, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9475, kappa: 0.9453, kb_relative_information_score: 0.9476, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, weighted_recall: 0.9474, number_of_instances: 7797, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 4.7004, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.3178, unweighted_recall: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.956, kappa: 0.9542, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, weighted_recall: 0.956, number_of_instances: 7797, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 4.7004, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.2868, unweighted_recall: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9401, kappa: 0.9377, kb_relative_information_score: 0.9407, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, weighted_recall: 0.9401, number_of_instances: 7797, precision: 0.9403, predictive_accuracy: 0.9401, prior_entropy: 4.7004, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.3442, unweighted_recall: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.958, kappa: 0.9562, kb_relative_information_score: 0.96, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, weighted_recall: 0.9579, number_of_instances: 7797, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 4.7004, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.2719, unweighted_recall: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9566, kappa: 0.9549, kb_relative_information_score: 0.96, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, weighted_recall: 0.9566, number_of_instances: 7797, precision: 0.9567, predictive_accuracy: 0.9566, prior_entropy: 4.7004, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.2803, unweighted_recall: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9401, kappa: 0.9377, kb_relative_information_score: 0.9407, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, weighted_recall: 0.9401, number_of_instances: 7797, precision: 0.9403, predictive_accuracy: 0.9401, prior_entropy: 4.7004, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.3442, unweighted_recall: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9619, kappa: 0.9604, kb_relative_information_score: 0.969, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, weighted_recall: 0.9619, number_of_instances: 7797, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 4.7004, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.2482, unweighted_recall: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9623, kappa: 0.9608, kb_relative_information_score: 0.969, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, weighted_recall: 0.9623, number_of_instances: 7797, precision: 0.9624, predictive_accuracy: 0.9623, prior_entropy: 4.7004, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.2422, unweighted_recall: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9612, kappa: 0.9596, kb_relative_information_score: 0.9439, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, weighted_recall: 0.9611, number_of_instances: 7797, precision: 0.9614, predictive_accuracy: 0.9611, prior_entropy: 4.7004, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.2799, unweighted_recall: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9636, kappa: 0.9621, kb_relative_information_score: 0.965, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, weighted_recall: 0.9636, number_of_instances: 7797, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 4.7004, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2432, unweighted_recall: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9495, kappa: 0.9474, kb_relative_information_score: 0.9481, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, weighted_recall: 0.9495, number_of_instances: 7797, precision: 0.9498, predictive_accuracy: 0.9495, prior_entropy: 4.7004, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.3076, unweighted_recall: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9495, kappa: 0.9474, kb_relative_information_score: 0.9481, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, weighted_recall: 0.9495, number_of_instances: 7797, precision: 0.9498, predictive_accuracy: 0.9495, prior_entropy: 4.7004, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.3076, unweighted_recall: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.956, kappa: 0.9542, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, weighted_recall: 0.956, number_of_instances: 7797, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 4.7004, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.2868, unweighted_recall: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9408, kappa: 0.9384, kb_relative_information_score: 0.9416, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, weighted_recall: 0.9407, number_of_instances: 7797, precision: 0.9409, predictive_accuracy: 0.9407, prior_entropy: 4.7004, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3414, unweighted_recall: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.956, kappa: 0.9542, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, weighted_recall: 0.956, number_of_instances: 7797, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 4.7004, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.2868, unweighted_recall: 0.956,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9566, kappa: 0.9549, kb_relative_information_score: 0.96, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, weighted_recall: 0.9566, number_of_instances: 7797, precision: 0.9567, predictive_accuracy: 0.9566, prior_entropy: 4.7004, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.2803, unweighted_recall: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9399, kappa: 0.9374, kb_relative_information_score: 0.941, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, weighted_recall: 0.9398, number_of_instances: 7797, precision: 0.94, predictive_accuracy: 0.9398, prior_entropy: 4.7004, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.3435, unweighted_recall: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.958, kappa: 0.9562, kb_relative_information_score: 0.96, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, weighted_recall: 0.9579, number_of_instances: 7797, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 4.7004, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.2719, unweighted_recall: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,

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