Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.4601, kappa: 0.081, kb_relative_information_score: 0.1429, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7052, predictive_accuracy: 0.5758, prior_entropy: 0.9948, recall: 0.5758, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6513, root_relative_squared_error: 1.3072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7557, kappa: 0.5073, kb_relative_information_score: 0.5071, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6527, kappa: 0.3252, kb_relative_information_score: 0.3492, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7123, predictive_accuracy: 0.678, prior_entropy: 0.9948, recall: 0.678, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6859, kappa: 0.3776, kb_relative_information_score: 0.3939, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7184, predictive_accuracy: 0.7001, prior_entropy: 0.9948, recall: 0.7001, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5476, root_relative_squared_error: 1.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6763, kappa: 0.3619, kb_relative_information_score: 0.3805, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.716, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.6525, kappa: 0.3247, kb_relative_information_score: 0.3487, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7118, predictive_accuracy: 0.6777, prior_entropy: 0.9948, recall: 0.6777, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5677, root_relative_squared_error: 1.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5116, kappa: 0.1354, kb_relative_information_score: 0.1876, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6906, predictive_accuracy: 0.598, prior_entropy: 0.9948, recall: 0.598, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.476, kappa: 0.0969, kb_relative_information_score: 0.1558, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.5822, prior_entropy: 0.9948, recall: 0.5822, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 0.4661, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7411, kappa: 0.4781, kb_relative_information_score: 0.4774, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.6334, kappa: 0.2942, kb_relative_information_score: 0.3217, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7037, predictive_accuracy: 0.6644, prior_entropy: 0.9948, recall: 0.6644, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5793, root_relative_squared_error: 1.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.6553, kappa: 0.3302, kb_relative_information_score: 0.3541, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7154, predictive_accuracy: 0.6804, prior_entropy: 0.9948, recall: 0.6804, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5654, root_relative_squared_error: 1.1348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.6718, kappa: 0.3545, kb_relative_information_score: 0.374, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7146, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5566, root_relative_squared_error: 1.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5266, kappa: 0.1528, kb_relative_information_score: 0.2022, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6911, predictive_accuracy: 0.6052, prior_entropy: 0.9948, recall: 0.6052, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6284, root_relative_squared_error: 1.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.7066, kappa: 0.4137, kb_relative_information_score: 0.4257, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7272, predictive_accuracy: 0.7158, prior_entropy: 0.9948, recall: 0.7158, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7031, kappa: 0.4076, kb_relative_information_score: 0.4203, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7257, predictive_accuracy: 0.7131, prior_entropy: 0.9948, recall: 0.7131, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.4375, kappa: 0.0572, kb_relative_information_score: 0.123, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7074, predictive_accuracy: 0.566, prior_entropy: 0.9948, recall: 0.566, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.6921, kappa: 0.3795, kb_relative_information_score: 0.3783, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.692, predictive_accuracy: 0.6923, prior_entropy: 0.9948, recall: 0.6923, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6863, kappa: 0.3679, kb_relative_information_score: 0.3665, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6862, predictive_accuracy: 0.6865, prior_entropy: 0.9948, recall: 0.6865, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7033, kappa: 0.4078, kb_relative_information_score: 0.4203, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7253, predictive_accuracy: 0.7131, prior_entropy: 0.9948, recall: 0.7131, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6995, kappa: 0.4027, kb_relative_information_score: 0.4171, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7281, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.6954, kappa: 0.3938, kb_relative_information_score: 0.4079, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7216, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6814, kappa: 0.358, kb_relative_information_score: 0.3562, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6813, predictive_accuracy: 0.6814, prior_entropy: 0.9948, recall: 0.6814, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.1329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.3893, kappa: 0.0072, kb_relative_information_score: 0.0809, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6719, predictive_accuracy: 0.5452, prior_entropy: 0.9948, recall: 0.5452, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6744, root_relative_squared_error: 1.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.4388, kappa: 0.058, kb_relative_information_score: 0.1235, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.702, predictive_accuracy: 0.5662, prior_entropy: 0.9948, recall: 0.5662, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6586, root_relative_squared_error: 1.3219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.4155, kappa: 0.0336, kb_relative_information_score: 0.103, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6972, predictive_accuracy: 0.5561, prior_entropy: 0.9948, recall: 0.5561, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6662, root_relative_squared_error: 1.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 0.5157, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.76, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6523, kappa: 0.2997, kb_relative_information_score: 0.2975, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6523, predictive_accuracy: 0.6524, prior_entropy: 0.9948, recall: 0.6524, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.1835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7776, kappa: 0.5515, kb_relative_information_score: 0.5512, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7365, kappa: 0.4688, kb_relative_information_score: 0.4683, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7165, kappa: 0.4285, kb_relative_information_score: 0.4273, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7163, predictive_accuracy: 0.7166, prior_entropy: 0.9948, recall: 0.7166, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7428, kappa: 0.4814, kb_relative_information_score: 0.4812, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7428, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7659, kappa: 0.5293, kb_relative_information_score: 0.5265, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7802, kappa: 0.5577, kb_relative_information_score: 0.5556, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7678, kappa: 0.5329, kb_relative_information_score: 0.5302, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.3908, kappa: 0.0101, kb_relative_information_score: 0.0836, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.5465, prior_entropy: 0.9948, recall: 0.5465, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6734, root_relative_squared_error: 1.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.5587, kappa: 0.2016, kb_relative_information_score: 0.2463, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7258, predictive_accuracy: 0.627, prior_entropy: 0.9948, recall: 0.627, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6635, kappa: 0.3479, kb_relative_information_score: 0.3718, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7308, predictive_accuracy: 0.6891, prior_entropy: 0.9948, recall: 0.6891, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7539, kappa: 0.5044, kb_relative_information_score: 0.5103, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.394, kappa: 0.0123, kb_relative_information_score: 0.0852, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6984, predictive_accuracy: 0.5473, prior_entropy: 0.9948, recall: 0.5473, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6728, root_relative_squared_error: 1.3505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.3849, kappa: 0.0038, kb_relative_information_score: 0.0782, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.5439, prior_entropy: 0.9948, recall: 0.5439, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.3556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.4183, kappa: 0.0368, kb_relative_information_score: 0.1057, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.5575, prior_entropy: 0.9948, recall: 0.5575, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6652, root_relative_squared_error: 1.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7592, kappa: 0.5156, kb_relative_information_score: 0.513, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.6718, kappa: 0.3556, kb_relative_information_score: 0.3756, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7174, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6921, kappa: 0.3885, kb_relative_information_score: 0.4036, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7214, predictive_accuracy: 0.7049, prior_entropy: 0.9948, recall: 0.7049, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7068, kappa: 0.4142, kb_relative_information_score: 0.4263, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7276, predictive_accuracy: 0.7161, prior_entropy: 0.9948, recall: 0.7161, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7401, kappa: 0.476, kb_relative_information_score: 0.4753, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.74, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7668, kappa: 0.5311, kb_relative_information_score: 0.5281, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5074, kappa: 0.1356, kb_relative_information_score: 0.1892, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7122, predictive_accuracy: 0.5988, prior_entropy: 0.9948, recall: 0.5988, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6334, root_relative_squared_error: 1.2714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7821, kappa: 0.5609, kb_relative_information_score: 0.5599, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6763, kappa: 0.3679, kb_relative_information_score: 0.3891, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7324, predictive_accuracy: 0.6977, prior_entropy: 0.9948, recall: 0.6977, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.3943, kappa: 0.0118, kb_relative_information_score: 0.0847, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6715, predictive_accuracy: 0.5471, prior_entropy: 0.9948, recall: 0.5471, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.3968, kappa: 0.0134, kb_relative_information_score: 0.0858, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6517, predictive_accuracy: 0.5476, prior_entropy: 0.9948, recall: 0.5476, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6726, root_relative_squared_error: 1.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.4021, kappa: 0.0211, kb_relative_information_score: 0.0928, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7192, predictive_accuracy: 0.5511, prior_entropy: 0.9948, recall: 0.5511, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.67, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6085, kappa: 0.2603, kb_relative_information_score: 0.2937, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.705, predictive_accuracy: 0.6505, prior_entropy: 0.9948, recall: 0.6505, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.1866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6049, kappa: 0.2557, kb_relative_information_score: 0.29, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7057, predictive_accuracy: 0.6486, prior_entropy: 0.9948, recall: 0.6486, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5928, root_relative_squared_error: 1.1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7526, kappa: 0.5007, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 0.4839, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.7086, kappa: 0.4177, kb_relative_information_score: 0.4295, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.729, predictive_accuracy: 0.7177, prior_entropy: 0.9948, recall: 0.7177, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5313, root_relative_squared_error: 1.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7428, kappa: 0.4815, kb_relative_information_score: 0.4807, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7427, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.787, kappa: 0.5708, kb_relative_information_score: 0.5696, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7869, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.59, kappa: 0.2444, kb_relative_information_score: 0.2835, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7322, predictive_accuracy: 0.6454, prior_entropy: 0.9948, recall: 0.6454, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.4116, kappa: 0.0292, kb_relative_information_score: 0.0993, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6901, predictive_accuracy: 0.5543, prior_entropy: 0.9948, recall: 0.5543, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6676, root_relative_squared_error: 1.3401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.7214, kappa: 0.4385, kb_relative_information_score: 0.4376, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7213, predictive_accuracy: 0.7217, prior_entropy: 0.9948, recall: 0.7217, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.0589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7404, kappa: 0.4767, kb_relative_information_score: 0.4758, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7403, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7701, kappa: 0.5361, kb_relative_information_score: 0.5367, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7704, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.5147, kappa: 0.1449, kb_relative_information_score: 0.1973, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7154, predictive_accuracy: 0.6028, prior_entropy: 0.9948, recall: 0.6028, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5077, kappa: 0.1366, kb_relative_information_score: 0.1903, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7152, predictive_accuracy: 0.5993, prior_entropy: 0.9948, recall: 0.5993, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.633, root_relative_squared_error: 1.2706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7807, kappa: 0.5576, kb_relative_information_score: 0.5582, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7408, kappa: 0.4776, kb_relative_information_score: 0.4764, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7556, kappa: 0.5069, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7757, kappa: 0.5474, kb_relative_information_score: 0.5491, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7547, kappa: 0.505, kb_relative_information_score: 0.506, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 0.4661, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7585, kappa: 0.5127, kb_relative_information_score: 0.5135, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7417, kappa: 0.4792, kb_relative_information_score: 0.4839, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7466, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6855, kappa: 0.3766, kb_relative_information_score: 0.3929, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7174, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.5924, kappa: 0.2386, kb_relative_information_score: 0.2754, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7043, predictive_accuracy: 0.6414, prior_entropy: 0.9948, recall: 0.6414, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5988, root_relative_squared_error: 1.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6667, kappa: 0.346, kb_relative_information_score: 0.3665, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7124, predictive_accuracy: 0.6865, prior_entropy: 0.9948, recall: 0.6865, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6958, kappa: 0.3944, kb_relative_information_score: 0.4085, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7217, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.541, root_relative_squared_error: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7595, kappa: 0.5156, kb_relative_information_score: 0.5141, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.766, kappa: 0.5296, kb_relative_information_score: 0.5265, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 0.0766, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7442, kappa: 0.4846, kb_relative_information_score: 0.4834, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.4659, kappa: 0.0854, kb_relative_information_score: 0.1461, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6932, predictive_accuracy: 0.5774, prior_entropy: 0.9948, recall: 0.5774, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.65, root_relative_squared_error: 1.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 0.4839, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.4468, kappa: 0.0658, kb_relative_information_score: 0.13, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6982, predictive_accuracy: 0.5694, prior_entropy: 0.9948, recall: 0.5694, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.4902, kappa: 0.1095, kb_relative_information_score: 0.1655, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6823, predictive_accuracy: 0.587, prior_entropy: 0.9948, recall: 0.587, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6426, root_relative_squared_error: 1.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7558, kappa: 0.5073, kb_relative_information_score: 0.5081, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7539, kappa: 0.5039, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.7411, kappa: 0.4806, kb_relative_information_score: 0.4893, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7558, kappa: 0.5076, kb_relative_information_score: 0.5071, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7388, kappa: 0.4761, kb_relative_information_score: 0.485, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0133,

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