Task
Supervised Classification on adult

Supervised Classification on adult

Task 7592 Supervised Classification adult 12327 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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12327 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, kb_relative_information_score: 0.1217, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, predictive_accuracy: 0.7607, prior_entropy: 0.7938, recall: 0.7607, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, kb_relative_information_score: 0.1217, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, predictive_accuracy: 0.7607, prior_entropy: 0.7938, recall: 0.7607, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8545, kappa: 0.5862, kb_relative_information_score: 0.4281, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8548, predictive_accuracy: 0.8608, prior_entropy: 0.7938, recall: 0.8608, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8552, kappa: 0.5889, kb_relative_information_score: 0.4419, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8551, predictive_accuracy: 0.8611, prior_entropy: 0.7938, recall: 0.8611, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.8191, kappa: 0.4781, kb_relative_information_score: 0.4789, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8213, predictive_accuracy: 0.8317, prior_entropy: 0.7938, recall: 0.8317, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.84, kappa: 0.5419, kb_relative_information_score: 0.5319, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8413, predictive_accuracy: 0.8488, prior_entropy: 0.7938, recall: 0.8488, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.8448, kappa: 0.5577, kb_relative_information_score: 0.5425, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8452, predictive_accuracy: 0.8522, prior_entropy: 0.7938, recall: 0.8522, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.84, kappa: 0.5426, kb_relative_information_score: 0.5308, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8408, predictive_accuracy: 0.8485, prior_entropy: 0.7938, recall: 0.8485, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.7736, kappa: 0.3527, kb_relative_information_score: 0.3365, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7692, predictive_accuracy: 0.7857, prior_entropy: 0.7938, recall: 0.7857, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4629, root_relative_squared_error: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.8482, kappa: 0.5672, kb_relative_information_score: 0.5528, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8489, predictive_accuracy: 0.8556, prior_entropy: 0.7938, recall: 0.8556, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.8275, kappa: 0.5151, kb_relative_information_score: 0.4798, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8253, predictive_accuracy: 0.832, prior_entropy: 0.7938, recall: 0.832, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.841, kappa: 0.5471, kb_relative_information_score: 0.5307, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8409, predictive_accuracy: 0.8484, prior_entropy: 0.7938, recall: 0.8484, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.7531, kappa: 0.2713, kb_relative_information_score: 0.345, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7654, predictive_accuracy: 0.7884, prior_entropy: 0.7938, recall: 0.7884, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.46, root_relative_squared_error: 1.0781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.8411, kappa: 0.5472, kb_relative_information_score: 0.5312, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8411, predictive_accuracy: 0.8486, prior_entropy: 0.7938, recall: 0.8486, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.8277, kappa: 0.5218, kb_relative_information_score: 0.4725, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8262, predictive_accuracy: 0.8296, prior_entropy: 0.7938, recall: 0.8296, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3602, f_measure: 0.5342, kappa: -0.2798, kb_relative_information_score: -0.4415, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.5341, predictive_accuracy: 0.5344, prior_entropy: 0.7938, recall: 0.5344, relative_absolute_error: 1.2789, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.6824, root_relative_squared_error: 1.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.841, kappa: 0.5469, kb_relative_information_score: 0.5307, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8409, predictive_accuracy: 0.8484, prior_entropy: 0.7938, recall: 0.8484, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.85, kappa: 0.5772, kb_relative_information_score: 0.55, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8488, predictive_accuracy: 0.8547, prior_entropy: 0.7938, recall: 0.8547, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.8412, kappa: 0.5474, kb_relative_information_score: 0.5319, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8413, predictive_accuracy: 0.8488, prior_entropy: 0.7938, recall: 0.8488, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.8438, kappa: 0.5548, kb_relative_information_score: 0.5395, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8441, predictive_accuracy: 0.8513, prior_entropy: 0.7938, recall: 0.8513, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.8489, kappa: 0.573, kb_relative_information_score: 0.5482, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8479, predictive_accuracy: 0.8541, prior_entropy: 0.7938, recall: 0.8541, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.382, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.8521, kappa: 0.5803, kb_relative_information_score: 0.5605, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8518, predictive_accuracy: 0.8581, prior_entropy: 0.7938, recall: 0.8581, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.8405, kappa: 0.5418, kb_relative_information_score: 0.5368, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8432, predictive_accuracy: 0.8504, prior_entropy: 0.7938, recall: 0.8504, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.8412, kappa: 0.5466, kb_relative_information_score: 0.533, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8416, predictive_accuracy: 0.8491, prior_entropy: 0.7938, recall: 0.8491, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.8458, kappa: 0.5604, kb_relative_information_score: 0.5458, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8463, predictive_accuracy: 0.8533, prior_entropy: 0.7938, recall: 0.8533, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.383, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.8507, kappa: 0.5753, kb_relative_information_score: 0.5578, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8508, predictive_accuracy: 0.8572, prior_entropy: 0.7938, recall: 0.8572, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.848, kappa: 0.5668, kb_relative_information_score: 0.5517, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8485, predictive_accuracy: 0.8552, prior_entropy: 0.7938, recall: 0.8552, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.841, kappa: 0.5469, kb_relative_information_score: 0.5309, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.841, predictive_accuracy: 0.8485, prior_entropy: 0.7938, recall: 0.8485, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.7691, kappa: 0.3226, kb_relative_information_score: 0.3687, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.776, predictive_accuracy: 0.7961, prior_entropy: 0.7938, recall: 0.7961, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4516, root_relative_squared_error: 1.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7915, kappa: 0.4001, kb_relative_information_score: 0.3965, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7898, predictive_accuracy: 0.8051, prior_entropy: 0.7938, recall: 0.8051, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.8495, kappa: 0.5714, kb_relative_information_score: 0.5556, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8499, predictive_accuracy: 0.8565, prior_entropy: 0.7938, recall: 0.8565, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.8271, kappa: 0.5212, kb_relative_information_score: 0.4693, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8259, predictive_accuracy: 0.8286, prior_entropy: 0.7938, recall: 0.8286, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.8477, kappa: 0.5663, kb_relative_information_score: 0.5501, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.848, predictive_accuracy: 0.8547, prior_entropy: 0.7938, recall: 0.8547, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.841, kappa: 0.5471, kb_relative_information_score: 0.5308, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.841, predictive_accuracy: 0.8485, prior_entropy: 0.7938, recall: 0.8485, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.844, kappa: 0.5585, kb_relative_information_score: 0.5344, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8429, predictive_accuracy: 0.8496, prior_entropy: 0.7938, recall: 0.8496, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.9089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.8512, kappa: 0.5783, kb_relative_information_score: 0.5568, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8506, predictive_accuracy: 0.8568, prior_entropy: 0.7938, recall: 0.8568, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8426, kappa: 0.5583, kb_relative_information_score: 0.5249, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8409, predictive_accuracy: 0.8465, prior_entropy: 0.7938, recall: 0.8465, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8484, kappa: 0.5718, kb_relative_information_score: 0.5464, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8473, predictive_accuracy: 0.8535, prior_entropy: 0.7938, recall: 0.8535, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.8445, kappa: 0.5565, kb_relative_information_score: 0.5421, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8521, prior_entropy: 0.7938, recall: 0.8521, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.8292, kappa: 0.523, kb_relative_information_score: 0.4807, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8272, predictive_accuracy: 0.8323, prior_entropy: 0.7938, recall: 0.8323, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.8424, kappa: 0.5501, kb_relative_information_score: 0.5366, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.843, predictive_accuracy: 0.8503, prior_entropy: 0.7938, recall: 0.8503, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.8436, kappa: 0.5605, kb_relative_information_score: 0.5286, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8419, predictive_accuracy: 0.8477, prior_entropy: 0.7938, recall: 0.8477, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.8411, kappa: 0.547, kb_relative_information_score: 0.5312, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8411, predictive_accuracy: 0.8486, prior_entropy: 0.7938, recall: 0.8486, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.843, kappa: 0.5525, kb_relative_information_score: 0.5368, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8431, predictive_accuracy: 0.8504, prior_entropy: 0.7938, recall: 0.8504, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.836, kappa: 0.5427, kb_relative_information_score: 0.5007, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8343, predictive_accuracy: 0.8387, prior_entropy: 0.7938, recall: 0.8387, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.7633, kappa: 0.3421, kb_relative_information_score: 0.2763, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7608, predictive_accuracy: 0.7662, prior_entropy: 0.7938, recall: 0.7662, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.1332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.841, kappa: 0.5472, kb_relative_information_score: 0.5308, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.841, predictive_accuracy: 0.8485, prior_entropy: 0.7938, recall: 0.8485, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7829, kappa: 0.3999, kb_relative_information_score: 0.3319, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7816, predictive_accuracy: 0.7842, prior_entropy: 0.7938, recall: 0.7842, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.8015, kappa: 0.4381, kb_relative_information_score: 0.4081, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7984, predictive_accuracy: 0.8088, prior_entropy: 0.7938, recall: 0.8088, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4373, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.8344, kappa: 0.5387, kb_relative_information_score: 0.4952, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8327, predictive_accuracy: 0.8369, prior_entropy: 0.7938, recall: 0.8369, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.8503, kappa: 0.5743, kb_relative_information_score: 0.5565, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8503, predictive_accuracy: 0.8567, prior_entropy: 0.7938, recall: 0.8567, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.8448, kappa: 0.5623, kb_relative_information_score: 0.5349, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8435, predictive_accuracy: 0.8498, prior_entropy: 0.7938, recall: 0.8498, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.756, kappa: 0.2768, kb_relative_information_score: 0.3965, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8198, predictive_accuracy: 0.8051, prior_entropy: 0.7938, recall: 0.8051, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.8419, kappa: 0.5495, kb_relative_information_score: 0.534, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8421, predictive_accuracy: 0.8495, prior_entropy: 0.7938, recall: 0.8495, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.7493, kappa: 0.3113, kb_relative_information_score: 0.2241, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7493, predictive_accuracy: 0.7494, prior_entropy: 0.7938, recall: 0.7494, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.1733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.8465, kappa: 0.5683, kb_relative_information_score: 0.538, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8508, prior_entropy: 0.7938, recall: 0.8508, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.9055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.8438, kappa: 0.5547, kb_relative_information_score: 0.5395, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8441, predictive_accuracy: 0.8513, prior_entropy: 0.7938, recall: 0.8513, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.8487, kappa: 0.5684, kb_relative_information_score: 0.5546, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8496, predictive_accuracy: 0.8561, prior_entropy: 0.7938, recall: 0.8561, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.7653, kappa: 0.3204, kb_relative_information_score: 0.3304, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7622, predictive_accuracy: 0.7837, prior_entropy: 0.7938, recall: 0.7837, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.465, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.765, kappa: 0.3544, kb_relative_information_score: 0.2725, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.765, predictive_accuracy: 0.765, prior_entropy: 0.7938, recall: 0.765, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.1362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.8447, kappa: 0.5572, kb_relative_information_score: 0.542, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8521, prior_entropy: 0.7938, recall: 0.8521, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.8277, kappa: 0.522, kb_relative_information_score: 0.4724, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8263, predictive_accuracy: 0.8296, prior_entropy: 0.7938, recall: 0.8296, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.8379, kappa: 0.5344, kb_relative_information_score: 0.5285, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8401, predictive_accuracy: 0.8477, prior_entropy: 0.7938, recall: 0.8477, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.8446, kappa: 0.5569, kb_relative_information_score: 0.542, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8521, prior_entropy: 0.7938, recall: 0.8521, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.841, kappa: 0.5472, kb_relative_information_score: 0.5308, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.841, predictive_accuracy: 0.8485, prior_entropy: 0.7938, recall: 0.8485, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.778, kappa: 0.3445, kb_relative_information_score: 0.4131, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8024, predictive_accuracy: 0.8104, prior_entropy: 0.7938, recall: 0.8104, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7873, kappa: 0.3987, kb_relative_information_score: 0.3646, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7835, predictive_accuracy: 0.7948, prior_entropy: 0.7938, recall: 0.7948, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.453, root_relative_squared_error: 1.0618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.7226, kappa: 0.1801, kb_relative_information_score: 0.3489, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8216, predictive_accuracy: 0.7897, prior_entropy: 0.7938, recall: 0.7897, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.85, kappa: 0.5729, kb_relative_information_score: 0.5567, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8503, predictive_accuracy: 0.8568, prior_entropy: 0.7938, recall: 0.8568, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.684, kappa: 0.0703, kb_relative_information_score: 0.2857, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7654, predictive_accuracy: 0.7693, prior_entropy: 0.7938, recall: 0.7693, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4803, root_relative_squared_error: 1.1258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.7438, kappa: 0.2428, kb_relative_information_score: 0.3283, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7569, predictive_accuracy: 0.7831, prior_entropy: 0.7938, recall: 0.7831, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4658, root_relative_squared_error: 1.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.8418, kappa: 0.556, kb_relative_information_score: 0.5222, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.84, predictive_accuracy: 0.8457, prior_entropy: 0.7938, recall: 0.8457, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.8441, kappa: 0.5558, kb_relative_information_score: 0.5397, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8442, predictive_accuracy: 0.8513, prior_entropy: 0.7938, recall: 0.8513, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.8393, kappa: 0.5397, kb_relative_information_score: 0.5305, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8407, predictive_accuracy: 0.8483, prior_entropy: 0.7938, recall: 0.8483, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.8426, kappa: 0.5568, kb_relative_information_score: 0.527, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.841, predictive_accuracy: 0.8472, prior_entropy: 0.7938, recall: 0.8472, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.8148, kappa: 0.4747, kb_relative_information_score: 0.4495, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8125, predictive_accuracy: 0.8222, prior_entropy: 0.7938, recall: 0.8222, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.8471, kappa: 0.5687, kb_relative_information_score: 0.5417, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8458, predictive_accuracy: 0.852, prior_entropy: 0.7938, recall: 0.852, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.8513, kappa: 0.5779, kb_relative_information_score: 0.5584, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8511, predictive_accuracy: 0.8574, prior_entropy: 0.7938, recall: 0.8574, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8501, kappa: 0.5744, kb_relative_information_score: 0.555, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8498, predictive_accuracy: 0.8563, prior_entropy: 0.7938, recall: 0.8563, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.8447, kappa: 0.5573, kb_relative_information_score: 0.5421, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8521, prior_entropy: 0.7938, recall: 0.8521, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.8506, kappa: 0.5752, kb_relative_information_score: 0.5577, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8507, predictive_accuracy: 0.8572, prior_entropy: 0.7938, recall: 0.8572, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.8499, kappa: 0.5739, kb_relative_information_score: 0.5541, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8496, predictive_accuracy: 0.856, prior_entropy: 0.7938, recall: 0.856, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.8486, kappa: 0.5683, kb_relative_information_score: 0.5536, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8492, predictive_accuracy: 0.8558, prior_entropy: 0.7938, recall: 0.8558, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.8292, kappa: 0.5247, kb_relative_information_score: 0.4784, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8275, predictive_accuracy: 0.8315, prior_entropy: 0.7938, recall: 0.8315, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.8391, kappa: 0.5504, kb_relative_information_score: 0.5114, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8373, predictive_accuracy: 0.8422, prior_entropy: 0.7938, recall: 0.8422, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.848, kappa: 0.5698, kb_relative_information_score: 0.5464, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8471, predictive_accuracy: 0.8535, prior_entropy: 0.7938, recall: 0.8535, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.8487, kappa: 0.5739, kb_relative_information_score: 0.5456, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8474, predictive_accuracy: 0.8532, prior_entropy: 0.7938, recall: 0.8532, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.8247, kappa: 0.5138, kb_relative_information_score: 0.4627, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8233, predictive_accuracy: 0.8265, prior_entropy: 0.7938, recall: 0.8265, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.843, kappa: 0.5522, kb_relative_information_score: 0.5373, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8433, predictive_accuracy: 0.8506, prior_entropy: 0.7938, recall: 0.8506, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.8448, kappa: 0.5576, kb_relative_information_score: 0.5425, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8452, predictive_accuracy: 0.8522, prior_entropy: 0.7938, recall: 0.8522, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.8518, kappa: 0.5798, kb_relative_information_score: 0.5589, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8513, predictive_accuracy: 0.8575, prior_entropy: 0.7938, recall: 0.8575, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.8497, kappa: 0.5749, kb_relative_information_score: 0.5508, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8487, predictive_accuracy: 0.8549, prior_entropy: 0.7938, recall: 0.8549, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.8424, kappa: 0.5497, kb_relative_information_score: 0.5374, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8433, predictive_accuracy: 0.8506, prior_entropy: 0.7938, recall: 0.8506, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.8455, kappa: 0.5592, kb_relative_information_score: 0.5451, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8461, predictive_accuracy: 0.8531, prior_entropy: 0.7938, recall: 0.8531, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.7553, kappa: 0.287, kb_relative_information_score: 0.3137, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.753, predictive_accuracy: 0.7783, prior_entropy: 0.7938, recall: 0.7783, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.1035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.8167, kappa: 0.4874, kb_relative_information_score: 0.4438, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8144, predictive_accuracy: 0.8203, prior_entropy: 0.7938, recall: 0.8203, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.8162, kappa: 0.4923, kb_relative_information_score: 0.4345, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8153, predictive_accuracy: 0.8173, prior_entropy: 0.7938, recall: 0.8173, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.8478, kappa: 0.5661, kb_relative_information_score: 0.5515, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8484, predictive_accuracy: 0.8551, prior_entropy: 0.7938, recall: 0.8551, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.8428, kappa: 0.5515, kb_relative_information_score: 0.5368, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8431, predictive_accuracy: 0.8504, prior_entropy: 0.7938, recall: 0.8504, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.8489, kappa: 0.5695, kb_relative_information_score: 0.5537, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8493, predictive_accuracy: 0.8559, prior_entropy: 0.7938, recall: 0.8559, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.8899,

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