Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14399 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14399 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9419, kappa: 0.9396, kb_relative_information_score: 0.8413, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9424, predictive_accuracy: 0.9419, prior_entropy: 4.7004, recall: 0.9419, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9389, kappa: 0.9365, kb_relative_information_score: 0.8402, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9395, predictive_accuracy: 0.939, prior_entropy: 4.7004, recall: 0.939, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.846, kappa: 0.8398, kb_relative_information_score: 0.8508, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8465, predictive_accuracy: 0.846, prior_entropy: 4.7004, recall: 0.846, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8405, kappa: 0.8341, kb_relative_information_score: 0.8425, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8411, predictive_accuracy: 0.8405, prior_entropy: 4.7004, recall: 0.8405, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9258, kappa: 0.9229, kb_relative_information_score: 0.9328, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9261, predictive_accuracy: 0.9259, prior_entropy: 4.7004, recall: 0.9259, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9613, kappa: 0.9597, kb_relative_information_score: 0.2119, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9619, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8414, kappa: 0.8374, kb_relative_information_score: 0.8453, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8582, predictive_accuracy: 0.8437, prior_entropy: 4.7004, recall: 0.8437, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.5644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9732, kappa: 0.9721, kb_relative_information_score: 0.9729, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9734, predictive_accuracy: 0.9732, prior_entropy: 4.7004, recall: 0.9732, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, kappa: 0.0165, kb_relative_information_score: 0.043, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0544, prior_entropy: 4.7004, recall: 0.0544, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2697, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9706, kappa: 0.9695, kb_relative_information_score: 0.9703, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9708, predictive_accuracy: 0.9706, prior_entropy: 4.7004, recall: 0.9706, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9699, kappa: 0.9687, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 4.7004, recall: 0.9699, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9532, kappa: 0.9513, kb_relative_information_score: 0.9526, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9539, predictive_accuracy: 0.9532, prior_entropy: 4.7004, recall: 0.9532, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.06, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0003, kb_relative_information_score: 0.0272, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0387, prior_entropy: 4.7004, recall: 0.0387, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9423, kappa: 0.9401, kb_relative_information_score: 0.9417, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9433, predictive_accuracy: 0.9424, prior_entropy: 4.7004, recall: 0.9424, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0003, kb_relative_information_score: 0.0272, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0387, prior_entropy: 4.7004, recall: 0.0387, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8594, kappa: 0.8105, kb_relative_information_score: 0.8156, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9351, predictive_accuracy: 0.8178, prior_entropy: 4.7004, recall: 0.8178, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.6157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9699, kappa: 0.9687, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 4.7004, recall: 0.9699, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9709, kappa: 0.9697, kb_relative_information_score: 0.9705, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 4.7004, recall: 0.9709, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, kappa: 0.0165, kb_relative_information_score: 0.043, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0544, prior_entropy: 4.7004, recall: 0.0544, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2697, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.776, kappa: 0.791, kb_relative_information_score: 0.7965, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7898, predictive_accuracy: 0.799, prior_entropy: 4.7004, recall: 0.799, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.6466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7198, kappa: 0.6018, kb_relative_information_score: 0.6125, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.937, predictive_accuracy: 0.6172, prior_entropy: 4.7004, recall: 0.6172, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9532, kappa: 0.9513, kb_relative_information_score: 0.9526, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9539, predictive_accuracy: 0.9532, prior_entropy: 4.7004, recall: 0.9532, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.06, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0003, kb_relative_information_score: 0.0272, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0387, prior_entropy: 4.7004, recall: 0.0387, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9617, kappa: 0.9601, kb_relative_information_score: 0.9612, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9619, predictive_accuracy: 0.9617, prior_entropy: 4.7004, recall: 0.9617, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.2824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9709, kappa: 0.9697, kb_relative_information_score: 0.9705, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 4.7004, recall: 0.9709, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9751, kappa: 0.9741, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9753, predictive_accuracy: 0.9751, prior_entropy: 4.7004, recall: 0.9751, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0003, kb_relative_information_score: 0.0266, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9699, kappa: 0.9687, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 4.7004, recall: 0.9699, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9484, kappa: 0.9464, kb_relative_information_score: 0.9478, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9492, predictive_accuracy: 0.9484, prior_entropy: 4.7004, recall: 0.9484, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.063, root_relative_squared_error: 0.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0003, kb_relative_information_score: 0.0272, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0387, prior_entropy: 4.7004, recall: 0.0387, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.027, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0386, prior_entropy: 4.7004, recall: 0.0386, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, kappa: 0.5616, kb_relative_information_score: 0.5733, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.5784, prior_entropy: 4.7004, recall: 0.5784, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9751, kappa: 0.9741, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9753, predictive_accuracy: 0.9751, prior_entropy: 4.7004, recall: 0.9751, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.027, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0386, prior_entropy: 4.7004, recall: 0.0386, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.776, kappa: 0.791, kb_relative_information_score: 0.7965, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7898, predictive_accuracy: 0.799, prior_entropy: 4.7004, recall: 0.799, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.6466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9732, kappa: 0.9721, kb_relative_information_score: 0.9729, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9734, predictive_accuracy: 0.9732, prior_entropy: 4.7004, recall: 0.9732, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, kappa: 0.016, kb_relative_information_score: 0.0425, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0539, prior_entropy: 4.7004, recall: 0.0539, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2698, root_relative_squared_error: 1.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0003, kb_relative_information_score: 0.0266, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9484, kappa: 0.9464, kb_relative_information_score: 0.9478, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9492, predictive_accuracy: 0.9484, prior_entropy: 4.7004, recall: 0.9484, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.063, root_relative_squared_error: 0.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0003, kb_relative_information_score: 0.0272, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0387, prior_entropy: 4.7004, recall: 0.0387, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.2332, kappa: 0.1757, kb_relative_information_score: 0.1978, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.3455, predictive_accuracy: 0.2074, prior_entropy: 4.7004, recall: 0.2074, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2469, root_relative_squared_error: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kappa: -0.0039, kb_relative_information_score: 0.0231, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0348, prior_entropy: 4.7004, recall: 0.0348, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2725, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, kappa: 0.7851, kb_relative_information_score: 0.7908, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7934, prior_entropy: 4.7004, recall: 0.7934, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9751, kappa: 0.9741, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9753, predictive_accuracy: 0.9751, prior_entropy: 4.7004, recall: 0.9751, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9692, kappa: 0.968, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9694, predictive_accuracy: 0.9692, prior_entropy: 4.7004, recall: 0.9692, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8509, kappa: 0.8451, kb_relative_information_score: 0.8493, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8584, predictive_accuracy: 0.8511, prior_entropy: 4.7004, recall: 0.8511, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.107, root_relative_squared_error: 0.5565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0003, kb_relative_information_score: 0.0272, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0387, prior_entropy: 4.7004, recall: 0.0387, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0025, kb_relative_information_score: 0.0294, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0409, prior_entropy: 4.7004, recall: 0.0409, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2716, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.2332, kappa: 0.1757, kb_relative_information_score: 0.1978, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.3455, predictive_accuracy: 0.2074, prior_entropy: 4.7004, recall: 0.2074, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2469, root_relative_squared_error: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, kappa: 0.0219, kb_relative_information_score: 0.0482, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0595, prior_entropy: 4.7004, recall: 0.0595, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.269, root_relative_squared_error: 1.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.776, kappa: 0.791, kb_relative_information_score: 0.7965, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7898, predictive_accuracy: 0.799, prior_entropy: 4.7004, recall: 0.799, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.6466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, kappa: 0.0165, kb_relative_information_score: 0.043, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0544, prior_entropy: 4.7004, recall: 0.0544, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2697, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, kappa: 0.5616, kb_relative_information_score: 0.5733, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.5784, prior_entropy: 4.7004, recall: 0.5784, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.027, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0386, prior_entropy: 4.7004, recall: 0.0386, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kappa: -0.0044, kb_relative_information_score: 0.0226, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0342, prior_entropy: 4.7004, recall: 0.0342, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2726, root_relative_squared_error: 1.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9502, kappa: 0.9482, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9511, predictive_accuracy: 0.9502, prior_entropy: 4.7004, recall: 0.9502, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7503, kappa: 0.7347, kb_relative_information_score: 0.7418, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7656, predictive_accuracy: 0.7449, prior_entropy: 4.7004, recall: 0.7449, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9484, kappa: 0.9464, kb_relative_information_score: 0.9478, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9492, predictive_accuracy: 0.9484, prior_entropy: 4.7004, recall: 0.9484, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.063, root_relative_squared_error: 0.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7788, kappa: 0.7939, kb_relative_information_score: 0.7994, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7934, predictive_accuracy: 0.8018, prior_entropy: 4.7004, recall: 0.8018, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9423, kappa: 0.9401, kb_relative_information_score: 0.9417, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9433, predictive_accuracy: 0.9424, prior_entropy: 4.7004, recall: 0.9424, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9502, kappa: 0.9482, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9511, predictive_accuracy: 0.9502, prior_entropy: 4.7004, recall: 0.9502, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7503, kappa: 0.7347, kb_relative_information_score: 0.7418, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7656, predictive_accuracy: 0.7449, prior_entropy: 4.7004, recall: 0.7449, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9746, kappa: 0.9736, kb_relative_information_score: 0.9743, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9747, predictive_accuracy: 0.9746, prior_entropy: 4.7004, recall: 0.9746, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7895, kappa: 0.7734, kb_relative_information_score: 0.7795, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8057, predictive_accuracy: 0.7821, prior_entropy: 4.7004, recall: 0.7821, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.6732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9723, kappa: 0.9712, kb_relative_information_score: 0.972, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 4.7004, recall: 0.9723, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8686, kappa: 0.8242, kb_relative_information_score: 0.8289, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9373, predictive_accuracy: 0.831, prior_entropy: 4.7004, recall: 0.831, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.114, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9507, kappa: 0.9488, kb_relative_information_score: 0.9502, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9515, predictive_accuracy: 0.9508, prior_entropy: 4.7004, recall: 0.9508, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.3201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8686, kappa: 0.8242, kb_relative_information_score: 0.8289, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9373, predictive_accuracy: 0.831, prior_entropy: 4.7004, recall: 0.831, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.114, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9723, kappa: 0.9712, kb_relative_information_score: 0.972, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 4.7004, recall: 0.9723, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9723, kappa: 0.9712, kb_relative_information_score: 0.972, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 4.7004, recall: 0.9723, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, kappa: 0.0157, kb_relative_information_score: 0.0422, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0536, prior_entropy: 4.7004, recall: 0.0536, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2698, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, kappa: 0.0415, kb_relative_information_score: 0.0673, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0784, prior_entropy: 4.7004, recall: 0.0784, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, kappa: 0.0415, kb_relative_information_score: 0.0673, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0784, prior_entropy: 4.7004, recall: 0.0784, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, kappa: 0.0157, kb_relative_information_score: 0.0422, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0536, prior_entropy: 4.7004, recall: 0.0536, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2698, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8686, kappa: 0.8242, kb_relative_information_score: 0.8289, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9373, predictive_accuracy: 0.831, prior_entropy: 4.7004, recall: 0.831, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.114, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, kappa: -0.04, kb_relative_information_score: -0.012, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.074, number_of_instances: 7797, prior_entropy: 4.7004, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8686, kappa: 0.8242, kb_relative_information_score: 0.8289, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9373, predictive_accuracy: 0.831, prior_entropy: 4.7004, recall: 0.831, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.114, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, kappa: 0.0157, kb_relative_information_score: 0.0422, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0536, prior_entropy: 4.7004, recall: 0.0536, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2698, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, kappa: 0.0292, kb_relative_information_score: 0.0553, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0666, prior_entropy: 4.7004, recall: 0.0666, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.268, root_relative_squared_error: 1.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9658, kappa: 0.9644, kb_relative_information_score: 0.9653, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.966, predictive_accuracy: 0.9658, prior_entropy: 4.7004, recall: 0.9658, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9591, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.925, kappa: 0.9221, kb_relative_information_score: 0.9242, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9256, predictive_accuracy: 0.9251, prior_entropy: 4.7004, recall: 0.9251, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, kappa: 0.0259, kb_relative_information_score: 0.0521, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0634, prior_entropy: 4.7004, recall: 0.0634, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2684, root_relative_squared_error: 1.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, kappa: 0.0223, kb_relative_information_score: 0.0486, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0599, prior_entropy: 4.7004, recall: 0.0599, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2689, root_relative_squared_error: 1.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8803, kappa: 0.876, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8848, predictive_accuracy: 0.8807, prior_entropy: 4.7004, recall: 0.8807, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.2806, kappa: 0.1762, kb_relative_information_score: 0.1983, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8998, predictive_accuracy: 0.2079, prior_entropy: 4.7004, recall: 0.2079, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2468, root_relative_squared_error: 1.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.925, kappa: 0.9221, kb_relative_information_score: 0.9242, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9256, predictive_accuracy: 0.9251, prior_entropy: 4.7004, recall: 0.9251, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, kappa: 0.0259, kb_relative_information_score: 0.0521, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0634, prior_entropy: 4.7004, recall: 0.0634, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2684, root_relative_squared_error: 1.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9227, kappa: 0.9198, kb_relative_information_score: 0.922, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9245, predictive_accuracy: 0.9229, prior_entropy: 4.7004, recall: 0.9229, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.077, root_relative_squared_error: 0.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.925, kappa: 0.9221, kb_relative_information_score: 0.9242, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9256, predictive_accuracy: 0.9251, prior_entropy: 4.7004, recall: 0.9251, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9591, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9472, kappa: 0.9425, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9541, predictive_accuracy: 0.9447, prior_entropy: 4.7004, recall: 0.9447, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9661, kappa: 0.9648, kb_relative_information_score: 0.9657, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9664, predictive_accuracy: 0.9661, prior_entropy: 4.7004, recall: 0.9661, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.051, root_relative_squared_error: 0.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, kappa: 0.0292, kb_relative_information_score: 0.0553, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0666, prior_entropy: 4.7004, recall: 0.0666, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.268, root_relative_squared_error: 1.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.925, kappa: 0.9221, kb_relative_information_score: 0.9242, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9256, predictive_accuracy: 0.9251, prior_entropy: 4.7004, recall: 0.9251, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.925, kappa: 0.9221, kb_relative_information_score: 0.9242, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9256, predictive_accuracy: 0.9251, prior_entropy: 4.7004, recall: 0.9251, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9595, kappa: 0.9579, kb_relative_information_score: 0.959, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.96, predictive_accuracy: 0.9595, prior_entropy: 4.7004, recall: 0.9595, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.2903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8803, kappa: 0.876, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8848, predictive_accuracy: 0.8807, prior_entropy: 4.7004, recall: 0.8807, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9591, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9723, kappa: 0.9712, kb_relative_information_score: 0.972, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 4.7004, recall: 0.9723, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.24,

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