Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113346 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 0.2071, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7531, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8732, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912, unweighted_recall: 0.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8724, kappa: 0.6923, kb_relative_information_score: 0.6681, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8723, number_of_instances: 5404, precision: 0.8724, predictive_accuracy: 0.8723, prior_entropy: 0.8732, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7847, unweighted_recall: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7678, kappa: 0.4657, kb_relative_information_score: 0.2877, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7605, number_of_instances: 5404, precision: 0.785, predictive_accuracy: 0.7605, prior_entropy: 0.8732, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409, unweighted_recall: 0.7517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8742, kappa: 0.6965, kb_relative_information_score: 0.6734, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8744, number_of_instances: 5404, precision: 0.8741, predictive_accuracy: 0.8744, prior_entropy: 0.8732, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7784, unweighted_recall: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7443, kappa: 0.4348, kb_relative_information_score: -0.0122, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7333, number_of_instances: 5404, precision: 0.7825, predictive_accuracy: 0.7333, prior_entropy: 0.8732, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9519, unweighted_recall: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7443, kappa: 0.4348, kb_relative_information_score: -0.0122, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7333, number_of_instances: 5404, precision: 0.7825, predictive_accuracy: 0.7333, prior_entropy: 0.8732, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9519, unweighted_recall: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7443, kappa: 0.4348, kb_relative_information_score: -0.0122, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7333, number_of_instances: 5404, precision: 0.7825, predictive_accuracy: 0.7333, prior_entropy: 0.8732, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9519, unweighted_recall: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8718, kappa: 0.6911, kb_relative_information_score: 0.6667, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8718, number_of_instances: 5404, precision: 0.8719, predictive_accuracy: 0.8718, prior_entropy: 0.8732, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7864, unweighted_recall: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6867, kappa: 0.2096, kb_relative_information_score: 0.123, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7302, number_of_instances: 5404, precision: 0.7045, predictive_accuracy: 0.7302, prior_entropy: 0.8732, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9644, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7529, kappa: 0.3932, kb_relative_information_score: 0.1938, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7585, number_of_instances: 5404, precision: 0.7501, predictive_accuracy: 0.7585, prior_entropy: 0.8732, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8741, unweighted_recall: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8407, kappa: 0.6119, kb_relative_information_score: 0.4886, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8425, number_of_instances: 5404, precision: 0.8398, predictive_accuracy: 0.8425, prior_entropy: 0.8732, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.7237, unweighted_recall: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8936, kappa: 0.7395, kb_relative_information_score: 0.6048, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8956, number_of_instances: 5404, precision: 0.8942, predictive_accuracy: 0.8956, prior_entropy: 0.8732, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.6227, unweighted_recall: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8952, kappa: 0.744, kb_relative_information_score: 0.6313, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8967, number_of_instances: 5404, precision: 0.8953, predictive_accuracy: 0.8967, prior_entropy: 0.8732, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.6056, unweighted_recall: 0.8619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8726, kappa: 0.6949, kb_relative_information_score: 0.647, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8718, number_of_instances: 5404, precision: 0.8738, predictive_accuracy: 0.8718, prior_entropy: 0.8732, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6832, unweighted_recall: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8618, kappa: 0.6559, kb_relative_information_score: 0.658, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8684, number_of_instances: 5404, precision: 0.8692, predictive_accuracy: 0.8684, prior_entropy: 0.8732, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7966, unweighted_recall: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8784, kappa: 0.7041, kb_relative_information_score: 0.5149, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8795, number_of_instances: 5404, precision: 0.8779, predictive_accuracy: 0.8795, prior_entropy: 0.8732, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6582, unweighted_recall: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8983, kappa: 0.7518, kb_relative_information_score: 0.635, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8997, number_of_instances: 5404, precision: 0.8983, predictive_accuracy: 0.8997, prior_entropy: 0.8732, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6012, unweighted_recall: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8825, kappa: 0.7123, kb_relative_information_score: 0.5993, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8847, number_of_instances: 5404, precision: 0.8828, predictive_accuracy: 0.8847, prior_entropy: 0.8732, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6364, unweighted_recall: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8628, kappa: 0.6583, kb_relative_information_score: 0.6614, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8697, number_of_instances: 5404, precision: 0.8712, predictive_accuracy: 0.8697, prior_entropy: 0.8732, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7926, unweighted_recall: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9054, kappa: 0.7709, kb_relative_information_score: 0.6857, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4147, weighted_recall: 0.9058, number_of_instances: 5404, precision: 0.9051, predictive_accuracy: 0.9058, prior_entropy: 0.8732, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5784, unweighted_recall: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9062, kappa: 0.7719, kb_relative_information_score: 0.64, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4147, weighted_recall: 0.9071, number_of_instances: 5404, precision: 0.906, predictive_accuracy: 0.9071, prior_entropy: 0.8732, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5757, unweighted_recall: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7599, kappa: 0.4127, kb_relative_information_score: 0.2115, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7639, number_of_instances: 5404, precision: 0.7574, predictive_accuracy: 0.7639, prior_entropy: 0.8732, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8637, unweighted_recall: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8407, kappa: 0.6118, kb_relative_information_score: 0.4884, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8425, number_of_instances: 5404, precision: 0.8397, predictive_accuracy: 0.8425, prior_entropy: 0.8732, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.7237, unweighted_recall: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8916, kappa: 0.7344, kb_relative_information_score: 0.6097, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8936, number_of_instances: 5404, precision: 0.8921, predictive_accuracy: 0.8936, prior_entropy: 0.8732, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.6115, unweighted_recall: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9002, kappa: 0.7565, kb_relative_information_score: 0.6297, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4147, weighted_recall: 0.9016, number_of_instances: 5404, precision: 0.9002, predictive_accuracy: 0.9016, prior_entropy: 0.8732, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.6029, unweighted_recall: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8787, kappa: 0.7097, kb_relative_information_score: 0.654, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8779, number_of_instances: 5404, precision: 0.8799, predictive_accuracy: 0.8779, prior_entropy: 0.8732, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6767, unweighted_recall: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.8608, kappa: 0.6534, kb_relative_information_score: 0.6561, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8677, number_of_instances: 5404, precision: 0.8686, predictive_accuracy: 0.8677, prior_entropy: 0.8732, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7988, unweighted_recall: 0.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8768, kappa: 0.7006, kb_relative_information_score: 0.5158, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8779, number_of_instances: 5404, precision: 0.8763, predictive_accuracy: 0.8779, prior_entropy: 0.8732, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6575, unweighted_recall: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8986, kappa: 0.7527, kb_relative_information_score: 0.6302, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8999, number_of_instances: 5404, precision: 0.8985, predictive_accuracy: 0.8999, prior_entropy: 0.8732, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.605, unweighted_recall: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8822, kappa: 0.7125, kb_relative_information_score: 0.599, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8838, number_of_instances: 5404, precision: 0.8819, predictive_accuracy: 0.8838, prior_entropy: 0.8732, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6355, unweighted_recall: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8618, kappa: 0.6559, kb_relative_information_score: 0.6585, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8686, number_of_instances: 5404, precision: 0.8697, predictive_accuracy: 0.8686, prior_entropy: 0.8732, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.796, unweighted_recall: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9031, kappa: 0.7646, kb_relative_information_score: 0.6827, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4147, weighted_recall: 0.904, number_of_instances: 5404, precision: 0.9029, predictive_accuracy: 0.904, prior_entropy: 0.8732, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.578, unweighted_recall: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8694, kappa: 0.6809, kb_relative_information_score: 0.5851, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8714, number_of_instances: 5404, precision: 0.8691, predictive_accuracy: 0.8714, prior_entropy: 0.8732, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6653, unweighted_recall: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9055, kappa: 0.7701, kb_relative_information_score: 0.6419, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4147, weighted_recall: 0.9064, number_of_instances: 5404, precision: 0.9053, predictive_accuracy: 0.9064, prior_entropy: 0.8732, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5754, unweighted_recall: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.873, kappa: 0.6938, kb_relative_information_score: 0.67, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8731, number_of_instances: 5404, precision: 0.873, predictive_accuracy: 0.8731, prior_entropy: 0.8732, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7824, unweighted_recall: 0.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.8456, kappa: 0.6269, kb_relative_information_score: 0.5993, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8459, number_of_instances: 5404, precision: 0.8453, predictive_accuracy: 0.8459, prior_entropy: 0.8732, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8622, unweighted_recall: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.896, kappa: 0.7458, kb_relative_information_score: 0.6327, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8977, number_of_instances: 5404, precision: 0.8962, predictive_accuracy: 0.8977, prior_entropy: 0.8732, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6012, unweighted_recall: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.5901, kappa: 0.0087, kb_relative_information_score: 0.0115, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7073, number_of_instances: 5404, precision: 0.6713, predictive_accuracy: 0.7073, prior_entropy: 0.8732, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9853, unweighted_recall: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7995, kappa: 0.5104, kb_relative_information_score: 0.3842, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8024, number_of_instances: 5404, precision: 0.7979, predictive_accuracy: 0.8024, prior_entropy: 0.8732, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7865, unweighted_recall: 0.7485,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 0.2374, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7496, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8732, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, unweighted_recall: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6654, kappa: 0.1595, kb_relative_information_score: 0.1475, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7243, number_of_instances: 5404, precision: 0.6972, predictive_accuracy: 0.7243, prior_entropy: 0.8732, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8935, unweighted_recall: 0.5631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 0.2373, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7496, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8732, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, unweighted_recall: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 0.2374, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7496, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8732, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, unweighted_recall: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6654, kappa: 0.1595, kb_relative_information_score: 0.1475, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7243, number_of_instances: 5404, precision: 0.6972, predictive_accuracy: 0.7243, prior_entropy: 0.8732, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8935, unweighted_recall: 0.5631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7378, kappa: 0.3501, kb_relative_information_score: 0.2373, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4147, weighted_recall: 0.748, number_of_instances: 5404, precision: 0.7347, predictive_accuracy: 0.748, prior_entropy: 0.8732, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.873, unweighted_recall: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6654, kappa: 0.1595, kb_relative_information_score: 0.1475, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7243, number_of_instances: 5404, precision: 0.6972, predictive_accuracy: 0.7243, prior_entropy: 0.8732, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8935, unweighted_recall: 0.5631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 0.2371, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, unweighted_recall: 0.6667,

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