Task
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 58 Supervised Classification waveform-5000 13892 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7398, kappa: 0.6129, kb_relative_information_score: 2831.6049, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7433, predictive_accuracy: 0.7418, prior_entropy: 1.5849, recall: 0.7418, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7597, kappa: 0.6397, kb_relative_information_score: 3244.8869, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7598, predictive_accuracy: 0.7598, prior_entropy: 1.5849, recall: 0.7598, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.7695, kappa: 0.6544, kb_relative_information_score: 3298.1683, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7695, predictive_accuracy: 0.7696, prior_entropy: 1.5849, recall: 0.7696, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.7701, kappa: 0.6553, kb_relative_information_score: 3302.6151, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7701, predictive_accuracy: 0.7702, prior_entropy: 1.5849, recall: 0.7702, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.7632, kappa: 0.6448, kb_relative_information_score: 3209.6202, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7631, predictive_accuracy: 0.7632, prior_entropy: 1.5849, recall: 0.7632, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7579, kappa: 0.6367, kb_relative_information_score: 3318.6908, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.758, predictive_accuracy: 0.7578, prior_entropy: 1.5849, recall: 0.7578, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7597, kappa: 0.6394, kb_relative_information_score: 3303.1569, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7598, predictive_accuracy: 0.7596, prior_entropy: 1.5849, recall: 0.7596, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.7612, kappa: 0.6418, kb_relative_information_score: 3191.1955, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7612, predictive_accuracy: 0.7612, prior_entropy: 1.5849, recall: 0.7612, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7496, kappa: 0.624, kb_relative_information_score: 3266.8379, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7503, predictive_accuracy: 0.7494, prior_entropy: 1.5849, recall: 0.7494, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7666, kappa: 0.6499, kb_relative_information_score: 3300.4482, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7666, predictive_accuracy: 0.7666, prior_entropy: 1.5849, recall: 0.7666, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.7626, kappa: 0.6439, kb_relative_information_score: 3205.8905, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7625, predictive_accuracy: 0.7626, prior_entropy: 1.5849, recall: 0.7626, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7615, kappa: 0.6424, kb_relative_information_score: 3255.0567, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7615, predictive_accuracy: 0.7616, prior_entropy: 1.5849, recall: 0.7616, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.7559, kappa: 0.6337, kb_relative_information_score: 3247.4022, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.756, predictive_accuracy: 0.7558, prior_entropy: 1.5849, recall: 0.7558, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7639, kappa: 0.646, kb_relative_information_score: 3229.3458, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7639, predictive_accuracy: 0.764, prior_entropy: 1.5849, recall: 0.764, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.7633, kappa: 0.6451, kb_relative_information_score: 3216.5506, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7633, predictive_accuracy: 0.7634, prior_entropy: 1.5849, recall: 0.7634, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.7605, kappa: 0.6406, kb_relative_information_score: 3307.8523, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7606, predictive_accuracy: 0.7604, prior_entropy: 1.5849, recall: 0.7604, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.7632, kappa: 0.6448, kb_relative_information_score: 3273.1533, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 1.5849, recall: 0.7632, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.765, kappa: 0.6475, kb_relative_information_score: 3304.055, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.765, predictive_accuracy: 0.765, prior_entropy: 1.5849, recall: 0.765, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7487, kappa: 0.6228, kb_relative_information_score: 3293.9903, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7489, predictive_accuracy: 0.7486, prior_entropy: 1.5849, recall: 0.7486, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.763, kappa: 0.6445, kb_relative_information_score: 3210.6504, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7629, predictive_accuracy: 0.763, prior_entropy: 1.5849, recall: 0.763, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7589, kappa: 0.6381, kb_relative_information_score: 3279.5134, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7592, predictive_accuracy: 0.7588, prior_entropy: 1.5849, recall: 0.7588, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.7652, kappa: 0.6478, kb_relative_information_score: 3297.9332, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7651, predictive_accuracy: 0.7652, prior_entropy: 1.5849, recall: 0.7652, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.7626, kappa: 0.6439, kb_relative_information_score: 3211.3403, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7625, predictive_accuracy: 0.7626, prior_entropy: 1.5849, recall: 0.7626, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7474, kappa: 0.6207, kb_relative_information_score: 3293.9695, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7484, predictive_accuracy: 0.7472, prior_entropy: 1.5849, recall: 0.7472, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.7616, kappa: 0.6424, kb_relative_information_score: 3291.4415, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7617, predictive_accuracy: 0.7616, prior_entropy: 1.5849, recall: 0.7616, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7553, kappa: 0.6327, kb_relative_information_score: 3262.7277, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7555, predictive_accuracy: 0.7552, prior_entropy: 1.5849, recall: 0.7552, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.7532, kappa: 0.6298, kb_relative_information_score: 3239.8335, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7533, predictive_accuracy: 0.7532, prior_entropy: 1.5849, recall: 0.7532, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7488, kappa: 0.6232, kb_relative_information_score: 3291.2314, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7488, predictive_accuracy: 0.7488, prior_entropy: 1.5849, recall: 0.7488, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.7599, kappa: 0.6397, kb_relative_information_score: 3306.538, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7601, predictive_accuracy: 0.7598, prior_entropy: 1.5849, recall: 0.7598, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.7606, kappa: 0.6409, kb_relative_information_score: 3196.6733, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7605, predictive_accuracy: 0.7606, prior_entropy: 1.5849, recall: 0.7606, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.7595, kappa: 0.6391, kb_relative_information_score: 3296.8902, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7596, predictive_accuracy: 0.7594, prior_entropy: 1.5849, recall: 0.7594, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.7625, kappa: 0.6436, kb_relative_information_score: 3317.3606, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7626, predictive_accuracy: 0.7624, prior_entropy: 1.5849, recall: 0.7624, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.7626, kappa: 0.6439, kb_relative_information_score: 3303.1723, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7627, predictive_accuracy: 0.7626, prior_entropy: 1.5849, recall: 0.7626, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7553, kappa: 0.6328, kb_relative_information_score: 3302.9598, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7555, predictive_accuracy: 0.7552, prior_entropy: 1.5849, recall: 0.7552, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7558, kappa: 0.6337, kb_relative_information_score: 3320.8507, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7558, predictive_accuracy: 0.7558, prior_entropy: 1.5849, recall: 0.7558, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.7639, kappa: 0.646, kb_relative_information_score: 3219.5325, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7639, predictive_accuracy: 0.764, prior_entropy: 1.5849, recall: 0.764, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.7227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.7698, kappa: 0.655, kb_relative_information_score: 3270.0372, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 1.5849, recall: 0.77, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.7567, kappa: 0.6348, kb_relative_information_score: 3315.159, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7569, predictive_accuracy: 0.7566, prior_entropy: 1.5849, recall: 0.7566, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7509, kappa: 0.6261, kb_relative_information_score: 3305.6681, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.751, predictive_accuracy: 0.7508, prior_entropy: 1.5849, recall: 0.7508, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.7643, kappa: 0.6466, kb_relative_information_score: 3251.1014, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7643, predictive_accuracy: 0.7644, prior_entropy: 1.5849, recall: 0.7644, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.755, kappa: 0.6325, kb_relative_information_score: 3324.7653, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7551, predictive_accuracy: 0.755, prior_entropy: 1.5849, recall: 0.755, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7442, kappa: 0.6163, kb_relative_information_score: 3237.2925, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7443, predictive_accuracy: 0.7442, prior_entropy: 1.5849, recall: 0.7442, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7634, kappa: 0.6451, kb_relative_information_score: 3257.1381, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7633, predictive_accuracy: 0.7634, prior_entropy: 1.5849, recall: 0.7634, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7584, kappa: 0.6372, kb_relative_information_score: 3335.8137, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7588, predictive_accuracy: 0.7582, prior_entropy: 1.5849, recall: 0.7582, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7567, kappa: 0.6348, kb_relative_information_score: 3328.2377, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.757, predictive_accuracy: 0.7566, prior_entropy: 1.5849, recall: 0.7566, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.7656, kappa: 0.6484, kb_relative_information_score: 3219.9656, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7656, predictive_accuracy: 0.7656, prior_entropy: 1.5849, recall: 0.7656, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7513, kappa: 0.6267, kb_relative_information_score: 3269.3942, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7516, predictive_accuracy: 0.7512, prior_entropy: 1.5849, recall: 0.7512, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.7663, kappa: 0.6496, kb_relative_information_score: 3301.8386, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7663, predictive_accuracy: 0.7664, prior_entropy: 1.5849, recall: 0.7664, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.7628, kappa: 0.6442, kb_relative_information_score: 3256.7789, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7627, predictive_accuracy: 0.7628, prior_entropy: 1.5849, recall: 0.7628, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.7624, kappa: 0.6436, kb_relative_information_score: 3210.9514, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7624, predictive_accuracy: 0.7624, prior_entropy: 1.5849, recall: 0.7624, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7603, kappa: 0.6402, kb_relative_information_score: 3304.2363, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7605, predictive_accuracy: 0.7602, prior_entropy: 1.5849, recall: 0.7602, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7588, kappa: 0.6382, kb_relative_information_score: 3329.3243, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7588, predictive_accuracy: 0.7588, prior_entropy: 1.5849, recall: 0.7588, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7527, kappa: 0.6289, kb_relative_information_score: 3280.7295, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7529, predictive_accuracy: 0.7526, prior_entropy: 1.5849, recall: 0.7526, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.7613, kappa: 0.6418, kb_relative_information_score: 3309.1093, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7614, predictive_accuracy: 0.7612, prior_entropy: 1.5849, recall: 0.7612, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7629, kappa: 0.6441, kb_relative_information_score: 3337.2921, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7632, predictive_accuracy: 0.7628, prior_entropy: 1.5849, recall: 0.7628, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.752, kappa: 0.628, kb_relative_information_score: 3302.5561, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 1.5849, recall: 0.752, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.7628, kappa: 0.6442, kb_relative_information_score: 3209.7972, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7627, predictive_accuracy: 0.7628, prior_entropy: 1.5849, recall: 0.7628, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.7609, kappa: 0.6415, kb_relative_information_score: 3252.2137, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7609, predictive_accuracy: 0.761, prior_entropy: 1.5849, recall: 0.761, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.7703, kappa: 0.6556, kb_relative_information_score: 3283.5202, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7703, predictive_accuracy: 0.7704, prior_entropy: 1.5849, recall: 0.7704, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.7701, kappa: 0.6553, kb_relative_information_score: 3304.0273, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7701, predictive_accuracy: 0.7702, prior_entropy: 1.5849, recall: 0.7702, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7637, kappa: 0.6457, kb_relative_information_score: 3215.7307, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7637, predictive_accuracy: 0.7638, prior_entropy: 1.5849, recall: 0.7638, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.7237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7563, kappa: 0.6342, kb_relative_information_score: 3303.073, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7566, predictive_accuracy: 0.7562, prior_entropy: 1.5849, recall: 0.7562, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7652, kappa: 0.6478, kb_relative_information_score: 3314.0828, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7652, predictive_accuracy: 0.7652, prior_entropy: 1.5849, recall: 0.7652, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7532, kappa: 0.6298, kb_relative_information_score: 3311.6123, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7533, predictive_accuracy: 0.7532, prior_entropy: 1.5849, recall: 0.7532, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.7643, kappa: 0.6466, kb_relative_information_score: 3213.1928, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7643, predictive_accuracy: 0.7644, prior_entropy: 1.5849, recall: 0.7644, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.7681, kappa: 0.6523, kb_relative_information_score: 3276.8507, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7681, predictive_accuracy: 0.7682, prior_entropy: 1.5849, recall: 0.7682, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.7141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7517, kappa: 0.627, kb_relative_information_score: 3284.9144, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7525, predictive_accuracy: 0.7514, prior_entropy: 1.5849, recall: 0.7514, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7583, kappa: 0.6372, kb_relative_information_score: 3316.3279, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7585, predictive_accuracy: 0.7582, prior_entropy: 1.5849, recall: 0.7582, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7521, kappa: 0.6279, kb_relative_information_score: 3310.6329, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7524, predictive_accuracy: 0.752, prior_entropy: 1.5849, recall: 0.752, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.7641, kappa: 0.6463, kb_relative_information_score: 3215.118, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7641, predictive_accuracy: 0.7642, prior_entropy: 1.5849, recall: 0.7642, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7497, kappa: 0.6244, kb_relative_information_score: 3276.8776, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7498, predictive_accuracy: 0.7496, prior_entropy: 1.5849, recall: 0.7496, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7504, kappa: 0.6252, kb_relative_information_score: 3279.457, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7512, predictive_accuracy: 0.7502, prior_entropy: 1.5849, recall: 0.7502, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7583, kappa: 0.6373, kb_relative_information_score: 3306.4457, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7584, predictive_accuracy: 0.7582, prior_entropy: 1.5849, recall: 0.7582, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.7627, kappa: 0.6439, kb_relative_information_score: 3306.5877, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7628, predictive_accuracy: 0.7626, prior_entropy: 1.5849, recall: 0.7626, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7537, kappa: 0.6304, kb_relative_information_score: 3275.595, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7539, predictive_accuracy: 0.7536, prior_entropy: 1.5849, recall: 0.7536, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.379, root_relative_squared_error: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7627, kappa: 0.6442, kb_relative_information_score: 3257.4469, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7627, predictive_accuracy: 0.7628, prior_entropy: 1.5849, recall: 0.7628, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7472, kappa: 0.6204, kb_relative_information_score: 3292.3975, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7481, predictive_accuracy: 0.747, prior_entropy: 1.5849, recall: 0.747, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.7595, kappa: 0.6391, kb_relative_information_score: 3325.4581, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7597, predictive_accuracy: 0.7594, prior_entropy: 1.5849, recall: 0.7594, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7585, kappa: 0.6375, kb_relative_information_score: 3314.3083, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7587, predictive_accuracy: 0.7584, prior_entropy: 1.5849, recall: 0.7584, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7515, kappa: 0.627, kb_relative_information_score: 3259.7398, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7517, predictive_accuracy: 0.7514, prior_entropy: 1.5849, recall: 0.7514, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7617, kappa: 0.6427, kb_relative_information_score: 3236.6285, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7617, predictive_accuracy: 0.7618, prior_entropy: 1.5849, recall: 0.7618, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7494, kappa: 0.6237, kb_relative_information_score: 3250.2404, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7496, predictive_accuracy: 0.7492, prior_entropy: 1.5849, recall: 0.7492, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.7662, kappa: 0.6493, kb_relative_information_score: 3220.8617, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7662, predictive_accuracy: 0.7662, prior_entropy: 1.5849, recall: 0.7662, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.7603, kappa: 0.6406, kb_relative_information_score: 3231.0096, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7603, predictive_accuracy: 0.7604, prior_entropy: 1.5849, recall: 0.7604, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.7549, kappa: 0.6321, kb_relative_information_score: 3258.5857, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7552, predictive_accuracy: 0.7548, prior_entropy: 1.5849, recall: 0.7548, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7591, kappa: 0.6384, kb_relative_information_score: 3317.4464, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7593, predictive_accuracy: 0.759, prior_entropy: 1.5849, recall: 0.759, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7489, kappa: 0.6231, kb_relative_information_score: 3270.102, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7491, predictive_accuracy: 0.7488, prior_entropy: 1.5849, recall: 0.7488, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7525, kappa: 0.6286, kb_relative_information_score: 3236.5116, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7526, predictive_accuracy: 0.7524, prior_entropy: 1.5849, recall: 0.7524, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7559, kappa: 0.6337, kb_relative_information_score: 3315.0755, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.756, predictive_accuracy: 0.7558, prior_entropy: 1.5849, recall: 0.7558, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.7655, kappa: 0.6484, kb_relative_information_score: 3249.2392, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7655, predictive_accuracy: 0.7656, prior_entropy: 1.5849, recall: 0.7656, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7513, kappa: 0.6268, kb_relative_information_score: 3282.307, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7514, predictive_accuracy: 0.7512, prior_entropy: 1.5849, recall: 0.7512, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7621, kappa: 0.6433, kb_relative_information_score: 3233.4835, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 1.5849, recall: 0.7622, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.7603, kappa: 0.6403, kb_relative_information_score: 3290.4273, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7603, predictive_accuracy: 0.7602, prior_entropy: 1.5849, recall: 0.7602, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.7611, kappa: 0.6418, kb_relative_information_score: 3201.8617, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7611, predictive_accuracy: 0.7612, prior_entropy: 1.5849, recall: 0.7612, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7595, kappa: 0.639, kb_relative_information_score: 3277.3673, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7598, predictive_accuracy: 0.7594, prior_entropy: 1.5849, recall: 0.7594, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.764, kappa: 0.646, kb_relative_information_score: 3299.489, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7641, predictive_accuracy: 0.764, prior_entropy: 1.5849, recall: 0.764, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.7579, kappa: 0.6367, kb_relative_information_score: 3315.3684, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.758, predictive_accuracy: 0.7578, prior_entropy: 1.5849, recall: 0.7578, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.7651, kappa: 0.6478, kb_relative_information_score: 3220.2542, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7651, predictive_accuracy: 0.7652, prior_entropy: 1.5849, recall: 0.7652, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.7632, kappa: 0.6448, kb_relative_information_score: 3263.6353, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 1.5849, recall: 0.7632, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7549,

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