OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14766 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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14766 Runs

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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9369, kappa: 0.9345, kb_relative_information_score: 0.9363, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9381, predictive_accuracy: 0.937, prior_entropy: 4.7004, recall: 0.937, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9471, kappa: 0.945, kb_relative_information_score: 0.9465, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.948, predictive_accuracy: 0.9472, prior_entropy: 4.7004, recall: 0.9472, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.3516, kappa: 0.2205, kb_relative_information_score: 0.2415, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7283, predictive_accuracy: 0.2505, prior_entropy: 4.7004, recall: 0.2505, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9738, kappa: 0.9728, kb_relative_information_score: 0.9735, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.974, predictive_accuracy: 0.9738, prior_entropy: 4.7004, recall: 0.9738, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0449, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8904, kappa: 0.8865, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8923, predictive_accuracy: 0.8909, prior_entropy: 4.7004, recall: 0.8909, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9722, kappa: 0.9711, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 4.7004, recall: 0.9722, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9701, kappa: 0.9689, kb_relative_information_score: 0.9698, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 4.7004, recall: 0.9701, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.2493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.7822, kappa: 0.797, kb_relative_information_score: 0.8024, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8212, predictive_accuracy: 0.8048, prior_entropy: 4.7004, recall: 0.8048, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9664, kappa: 0.9651, kb_relative_information_score: 0.966, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9667, predictive_accuracy: 0.9664, prior_entropy: 4.7004, recall: 0.9664, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0004, kb_relative_information_score: 0.0273, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0389, prior_entropy: 4.7004, recall: 0.0389, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9603, kappa: 0.9587, kb_relative_information_score: 0.9598, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9608, predictive_accuracy: 0.9602, prior_entropy: 4.7004, recall: 0.9602, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.2876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, kappa: 0.8154, kb_relative_information_score: 0.8203, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.8225, prior_entropy: 4.7004, recall: 0.8225, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9681, kappa: 0.9668, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9684, predictive_accuracy: 0.9681, prior_entropy: 4.7004, recall: 0.9681, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.7822, kappa: 0.797, kb_relative_information_score: 0.8024, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8212, predictive_accuracy: 0.8048, prior_entropy: 4.7004, recall: 0.8048, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kappa: -0.0108, kb_relative_information_score: 0.0164, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0281, prior_entropy: 4.7004, recall: 0.0281, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2734, root_relative_squared_error: 1.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0012, kb_relative_information_score: 0.0281, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0396, prior_entropy: 4.7004, recall: 0.0396, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9644, kappa: 0.9628, kb_relative_information_score: 0.9638, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9653, predictive_accuracy: 0.9642, prior_entropy: 4.7004, recall: 0.9642, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, kappa: 0.7846, kb_relative_information_score: 0.7903, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7929, prior_entropy: 4.7004, recall: 0.7929, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.6564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9382, kappa: 0.9358, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9394, predictive_accuracy: 0.9383, prior_entropy: 4.7004, recall: 0.9383, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.3582,
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: 0.9695, 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: 0.5146, 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: 0.9841, f_measure: 0.9695, kappa: 0.9683, kb_relative_information_score: 0.9691, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 4.7004, recall: 0.9695, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9382, kappa: 0.9358, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9394, predictive_accuracy: 0.9383, prior_entropy: 4.7004, recall: 0.9383, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, kappa: 0.7847, kb_relative_information_score: 0.7904, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.793, prior_entropy: 4.7004, recall: 0.793, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.6562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9615, kappa: 0.9599, kb_relative_information_score: 0.9609, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9619, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9563, kappa: 0.9534, kb_relative_information_score: 0.9547, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9595, predictive_accuracy: 0.9552, prior_entropy: 4.7004, recall: 0.9552, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.3051,
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: 0.9695, 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: 0.5131, kappa: 0.0261, kb_relative_information_score: 0.0523, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0636, prior_entropy: 4.7004, recall: 0.0636, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2684, root_relative_squared_error: 1.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, kappa: 0.785, kb_relative_information_score: 0.7907, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7933, prior_entropy: 4.7004, recall: 0.7933, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9685, kappa: 0.9672, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9686, predictive_accuracy: 0.9684, prior_entropy: 4.7004, recall: 0.9684, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, kappa: 0.7811, kb_relative_information_score: 0.7869, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7895, prior_entropy: 4.7004, recall: 0.7895, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kappa: -0.0108, kb_relative_information_score: 0.0164, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0281, prior_entropy: 4.7004, recall: 0.0281, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2734, root_relative_squared_error: 1.4218,
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: 0.9695, 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,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs