Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 107806 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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107806 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8435, kappa: 0.6211, kb_relative_information_score: 3010.7145, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.843, predictive_accuracy: 0.8442, prior_entropy: 0.8733, recall: 0.8442, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8472, kappa: 0.6295, kb_relative_information_score: 3001.323, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8465, predictive_accuracy: 0.8481, prior_entropy: 0.8733, recall: 0.8481, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.865, kappa: 0.6734, kb_relative_information_score: 3376.9002, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8646, predictive_accuracy: 0.8655, prior_entropy: 0.8733, recall: 0.8655, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8445, kappa: 0.6231, kb_relative_information_score: 2986.8672, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8439, predictive_accuracy: 0.8453, prior_entropy: 0.8733, recall: 0.8453, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8647, kappa: 0.6718, kb_relative_information_score: 3317.4758, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8642, predictive_accuracy: 0.8657, prior_entropy: 0.8733, recall: 0.8657, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8539, kappa: 0.6439, kb_relative_information_score: 3189.0223, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8532, predictive_accuracy: 0.8557, prior_entropy: 0.8733, recall: 0.8557, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.7371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8443, kappa: 0.6226, kb_relative_information_score: 2909.4905, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8436, predictive_accuracy: 0.8451, prior_entropy: 0.8733, recall: 0.8451, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.332, root_relative_squared_error: 0.7291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8676, kappa: 0.6788, kb_relative_information_score: 3468.9871, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.867, predictive_accuracy: 0.8684, prior_entropy: 0.8733, recall: 0.8684, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8611, kappa: 0.6633, kb_relative_information_score: 3284.3998, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8606, predictive_accuracy: 0.862, prior_entropy: 0.8733, recall: 0.862, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8567, kappa: 0.6528, kb_relative_information_score: 3177.3199, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8562, predictive_accuracy: 0.8573, prior_entropy: 0.8733, recall: 0.8573, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8484, kappa: 0.6308, kb_relative_information_score: 3067.5009, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8476, predictive_accuracy: 0.8501, prior_entropy: 0.8733, recall: 0.8501, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8472, kappa: 0.6298, kb_relative_information_score: 2939.3754, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8466, predictive_accuracy: 0.8479, prior_entropy: 0.8733, recall: 0.8479, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8634, kappa: 0.6695, kb_relative_information_score: 3367.8327, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.8733, recall: 0.8638, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8554, kappa: 0.65, kb_relative_information_score: 3157.4061, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.855, predictive_accuracy: 0.856, prior_entropy: 0.8733, recall: 0.856, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8699, kappa: 0.6853, kb_relative_information_score: 3438.2472, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8695, predictive_accuracy: 0.8703, prior_entropy: 0.8733, recall: 0.8703, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8612, kappa: 0.6639, kb_relative_information_score: 3341.8167, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8607, predictive_accuracy: 0.8618, prior_entropy: 0.8733, recall: 0.8618, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8454, kappa: 0.6251, kb_relative_information_score: 3003.6383, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8447, predictive_accuracy: 0.8462, prior_entropy: 0.8733, recall: 0.8462, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8551, kappa: 0.6491, kb_relative_information_score: 3161.1452, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8546, predictive_accuracy: 0.8558, prior_entropy: 0.8733, recall: 0.8558, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8689, kappa: 0.6817, kb_relative_information_score: 3541.8031, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8684, predictive_accuracy: 0.8699, prior_entropy: 0.8733, recall: 0.8699, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8562, kappa: 0.6498, kb_relative_information_score: 3168.8901, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8554, predictive_accuracy: 0.8577, prior_entropy: 0.8733, recall: 0.8577, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8681, kappa: 0.6796, kb_relative_information_score: 3526.9094, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8675, predictive_accuracy: 0.8692, prior_entropy: 0.8733, recall: 0.8692, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8605, kappa: 0.6612, kb_relative_information_score: 3178.052, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8599, predictive_accuracy: 0.8616, prior_entropy: 0.8733, recall: 0.8616, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8466, kappa: 0.6264, kb_relative_information_score: 3056.3525, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8457, predictive_accuracy: 0.8483, prior_entropy: 0.8733, recall: 0.8483, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8671, kappa: 0.6792, kb_relative_information_score: 3494.4002, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.867, predictive_accuracy: 0.8673, prior_entropy: 0.8733, recall: 0.8673, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8492, kappa: 0.6338, kb_relative_information_score: 3006.6282, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8485, predictive_accuracy: 0.8503, prior_entropy: 0.8733, recall: 0.8503, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8461, kappa: 0.6277, kb_relative_information_score: 2891.2863, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8457, predictive_accuracy: 0.8466, prior_entropy: 0.8733, recall: 0.8466, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.332, root_relative_squared_error: 0.7291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8569, kappa: 0.6518, kb_relative_information_score: 3144.3362, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8562, predictive_accuracy: 0.8583, prior_entropy: 0.8733, recall: 0.8583, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8581, kappa: 0.6552, kb_relative_information_score: 3179.4785, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8574, predictive_accuracy: 0.8594, prior_entropy: 0.8733, recall: 0.8594, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8712, kappa: 0.6891, kb_relative_information_score: 3592.7554, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8711, predictive_accuracy: 0.8714, prior_entropy: 0.8733, recall: 0.8714, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8597, kappa: 0.6579, kb_relative_information_score: 3286.4267, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.859, predictive_accuracy: 0.8614, prior_entropy: 0.8733, recall: 0.8614, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8463, kappa: 0.6273, kb_relative_information_score: 2993.9302, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8456, predictive_accuracy: 0.8472, prior_entropy: 0.8733, recall: 0.8472, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8479, kappa: 0.6317, kb_relative_information_score: 2942.1139, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8474, predictive_accuracy: 0.8486, prior_entropy: 0.8733, recall: 0.8486, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.7206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8441, kappa: 0.6212, kb_relative_information_score: 2999.1564, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8433, predictive_accuracy: 0.8453, prior_entropy: 0.8733, recall: 0.8453, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8662, kappa: 0.6754, kb_relative_information_score: 3492.9626, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8657, predictive_accuracy: 0.8671, prior_entropy: 0.8733, recall: 0.8671, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8476, kappa: 0.6304, kb_relative_information_score: 2978.5635, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8469, predictive_accuracy: 0.8484, prior_entropy: 0.8733, recall: 0.8484, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8638, kappa: 0.6683, kb_relative_information_score: 3432.3886, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8632, predictive_accuracy: 0.8653, prior_entropy: 0.8733, recall: 0.8653, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8691, kappa: 0.6835, kb_relative_information_score: 3441.0646, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8688, predictive_accuracy: 0.8695, prior_entropy: 0.8733, recall: 0.8695, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8642, kappa: 0.6715, kb_relative_information_score: 3396.3711, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8638, predictive_accuracy: 0.8647, prior_entropy: 0.8733, recall: 0.8647, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8446, kappa: 0.6235, kb_relative_information_score: 2909.7434, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.844, predictive_accuracy: 0.8455, prior_entropy: 0.8733, recall: 0.8455, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8448, kappa: 0.6232, kb_relative_information_score: 2999.3102, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8441, predictive_accuracy: 0.846, prior_entropy: 0.8733, recall: 0.846, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8463, kappa: 0.628, kb_relative_information_score: 2900.645, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8458, predictive_accuracy: 0.847, prior_entropy: 0.8733, recall: 0.847, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8478, kappa: 0.6311, kb_relative_information_score: 3000.9249, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8472, predictive_accuracy: 0.8486, prior_entropy: 0.8733, recall: 0.8486, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.856, kappa: 0.6486, kb_relative_information_score: 3124.2344, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8553, predictive_accuracy: 0.8579, prior_entropy: 0.8733, recall: 0.8579, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8517, kappa: 0.6403, kb_relative_information_score: 3147.4239, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.851, predictive_accuracy: 0.8525, prior_entropy: 0.8733, recall: 0.8525, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.333, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8459, kappa: 0.6274, kb_relative_information_score: 2894.4287, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8456, predictive_accuracy: 0.8464, prior_entropy: 0.8733, recall: 0.8464, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.846, kappa: 0.6266, kb_relative_information_score: 2920.8501, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8454, predictive_accuracy: 0.847, prior_entropy: 0.8733, recall: 0.847, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7215,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8685, kappa: 0.6819, kb_relative_information_score: 3526.4386, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8681, predictive_accuracy: 0.869, prior_entropy: 0.8733, recall: 0.869, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7527,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8681, kappa: 0.6798, kb_relative_information_score: 3481.5547, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8675, predictive_accuracy: 0.869, prior_entropy: 0.8733, recall: 0.869, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.7275,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.864, kappa: 0.67, kb_relative_information_score: 3364.1303, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8634, predictive_accuracy: 0.8649, prior_entropy: 0.8733, recall: 0.8649, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8694, kappa: 0.6832, kb_relative_information_score: 3403.2013, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8689, predictive_accuracy: 0.8703, prior_entropy: 0.8733, recall: 0.8703, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8589, kappa: 0.6582, kb_relative_information_score: 3303.4373, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8584, predictive_accuracy: 0.8595, prior_entropy: 0.8733, recall: 0.8595, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8636, kappa: 0.6699, kb_relative_information_score: 3371.4035, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8632, predictive_accuracy: 0.8642, prior_entropy: 0.8733, recall: 0.8642, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8467, kappa: 0.6291, kb_relative_information_score: 2897.0277, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8463, predictive_accuracy: 0.8473, prior_entropy: 0.8733, recall: 0.8473, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.846, kappa: 0.6274, kb_relative_information_score: 2880.9469, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8456, predictive_accuracy: 0.8466, prior_entropy: 0.8733, recall: 0.8466, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7231,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8457, kappa: 0.6262, kb_relative_information_score: 2873.2651, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8451, predictive_accuracy: 0.8464, prior_entropy: 0.8733, recall: 0.8464, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8501, kappa: 0.6347, kb_relative_information_score: 3079.2649, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8493, predictive_accuracy: 0.8518, prior_entropy: 0.8733, recall: 0.8518, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8477, kappa: 0.6303, kb_relative_information_score: 3010.2569, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.847, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7247,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8611, kappa: 0.6627, kb_relative_information_score: 3181.4685, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8605, predictive_accuracy: 0.8621, prior_entropy: 0.8733, recall: 0.8621, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.7266,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8492, kappa: 0.6336, kb_relative_information_score: 3087.6731, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8485, predictive_accuracy: 0.8505, prior_entropy: 0.8733, recall: 0.8505, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8657, kappa: 0.6747, kb_relative_information_score: 3374.0081, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8653, predictive_accuracy: 0.8664, prior_entropy: 0.8733, recall: 0.8664, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.848, kappa: 0.6314, kb_relative_information_score: 2998.7746, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8473, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8486, kappa: 0.6313, kb_relative_information_score: 3079.9603, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8478, predictive_accuracy: 0.8503, prior_entropy: 0.8733, recall: 0.8503, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.846, kappa: 0.6274, kb_relative_information_score: 2893.4741, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8456, predictive_accuracy: 0.8466, prior_entropy: 0.8733, recall: 0.8466, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7282,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8435, kappa: 0.6214, kb_relative_information_score: 2917.8261, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8431, predictive_accuracy: 0.844, prior_entropy: 0.8733, recall: 0.844, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8536, kappa: 0.6454, kb_relative_information_score: 3121.725, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8531, predictive_accuracy: 0.8544, prior_entropy: 0.8733, recall: 0.8544, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.846, kappa: 0.6274, kb_relative_information_score: 2872.8412, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8456, predictive_accuracy: 0.8466, prior_entropy: 0.8733, recall: 0.8466, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8472, kappa: 0.6294, kb_relative_information_score: 2997.6319, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8465, predictive_accuracy: 0.8481, prior_entropy: 0.8733, recall: 0.8481, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8579, kappa: 0.6554, kb_relative_information_score: 3241.3405, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8573, predictive_accuracy: 0.8588, prior_entropy: 0.8733, recall: 0.8588, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.7276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8658, kappa: 0.6743, kb_relative_information_score: 3482.4315, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8652, predictive_accuracy: 0.8668, prior_entropy: 0.8733, recall: 0.8668, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8502, kappa: 0.6351, kb_relative_information_score: 3076.7331, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8494, predictive_accuracy: 0.8518, prior_entropy: 0.8733, recall: 0.8518, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8712, kappa: 0.6864, kb_relative_information_score: 3561.7115, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8706, predictive_accuracy: 0.8725, prior_entropy: 0.8733, recall: 0.8725, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8639, kappa: 0.6698, kb_relative_information_score: 3403.6524, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8634, predictive_accuracy: 0.8649, prior_entropy: 0.8733, recall: 0.8649, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8484, kappa: 0.6324, kb_relative_information_score: 2973.2317, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8478, predictive_accuracy: 0.8494, prior_entropy: 0.8733, recall: 0.8494, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8663, kappa: 0.6741, kb_relative_information_score: 3381.7581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8657, predictive_accuracy: 0.8679, prior_entropy: 0.8733, recall: 0.8679, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8572, kappa: 0.654, kb_relative_information_score: 3194.695, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8567, predictive_accuracy: 0.8579, prior_entropy: 0.8733, recall: 0.8579, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7299,

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