OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9484, kappa: 0.8731, kb_relative_information_score: 0.78, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9702, kappa: 0.927, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.863, recall: 0.9702, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9268, kappa: 0.8207, kb_relative_information_score: 0.7969, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 0.87, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 0.87, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.6792, kappa: 0.2101, kb_relative_information_score: 0.1522, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6777, predictive_accuracy: 0.6809, prior_entropy: 0.863, recall: 0.6809, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9659, kappa: 0.9165, kb_relative_information_score: 0.8711, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.976, kappa: 0.941, kb_relative_information_score: 0.9341, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.976, prior_entropy: 0.863, recall: 0.976, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.976, kappa: 0.941, kb_relative_information_score: 0.9341, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.976, prior_entropy: 0.863, recall: 0.976, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9268, kappa: 0.8207, kb_relative_information_score: 0.7969, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.6792, kappa: 0.2101, kb_relative_information_score: 0.1522, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6777, predictive_accuracy: 0.6809, prior_entropy: 0.863, recall: 0.6809, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 0.878, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 0.878, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9659, kappa: 0.9165, kb_relative_information_score: 0.8711, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9737, kappa: 0.9355, kb_relative_information_score: 0.9093, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.863, recall: 0.9737, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 0.9092, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9737, kappa: 0.9355, kb_relative_information_score: 0.9093, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.863, recall: 0.9737, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9732, kappa: 0.9344, kb_relative_information_score: 0.9057, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9266, kappa: 0.8188, kb_relative_information_score: 0.6242, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9481, kappa: 0.8724, kb_relative_information_score: 0.7777, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9742, kappa: 0.9367, kb_relative_information_score: 0.9221, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.863, recall: 0.9742, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9742, kappa: 0.9367, kb_relative_information_score: 0.9221, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.863, recall: 0.9742, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9557, kappa: 0.8915, kb_relative_information_score: 0.863, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9266, kappa: 0.8188, kb_relative_information_score: 0.6242, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9414, kappa: 0.8556, kb_relative_information_score: 0.7574, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9481, kappa: 0.8724, kb_relative_information_score: 0.7777, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9732, kappa: 0.9344, kb_relative_information_score: 0.9057, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9754, kappa: 0.9396, kb_relative_information_score: 0.9274, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9753, predictive_accuracy: 0.9754, prior_entropy: 0.863, recall: 0.9754, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9754, kappa: 0.9396, kb_relative_information_score: 0.9274, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9753, predictive_accuracy: 0.9754, prior_entropy: 0.863, recall: 0.9754, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8885, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.15, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9736, kappa: 0.9353, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.863, recall: 0.9736, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9752, kappa: 0.9393, kb_relative_information_score: 0.9307, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5887, kappa: -0.0001, kb_relative_information_score: -0.1007, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5857, prior_entropy: 0.863, recall: 0.5857, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9755, kappa: 0.9399, kb_relative_information_score: 0.9289, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8885, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.15, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9752, kappa: 0.9393, kb_relative_information_score: 0.9307, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5887, kappa: -0.0001, kb_relative_information_score: -0.1007, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5857, prior_entropy: 0.863, recall: 0.5857, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9755, kappa: 0.9399, kb_relative_information_score: 0.9289, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9416, kappa: 0.8561, kb_relative_information_score: 0.7429, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9415, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9734, kappa: 0.9347, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.863, recall: 0.9734, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9734, kappa: 0.9347, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.863, recall: 0.9734, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9499, kappa: 0.8767, kb_relative_information_score: 0.7898, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9649, kappa: 0.914, kb_relative_information_score: 0.8675, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9649, kappa: 0.914, kb_relative_information_score: 0.8675, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9755, kappa: 0.9398, kb_relative_information_score: 0.9266, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9754, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.3117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5611, kappa: -0, kb_relative_information_score: -0.2146, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5429, prior_entropy: 0.863, recall: 0.5429, relative_absolute_error: 1.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6064, kappa: -0.0001, kb_relative_information_score: 0.0132, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6286, prior_entropy: 0.863, recall: 0.6286, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9237, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9237, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9755, kappa: 0.9398, kb_relative_information_score: 0.9266, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9754, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.3117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.962, kappa: 0.9069, kb_relative_information_score: 0.8541, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.962, kappa: 0.9069, kb_relative_information_score: 0.8541, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9499, kappa: 0.8767, kb_relative_information_score: 0.7898, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9736, kappa: 0.9353, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.863, recall: 0.9736, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6064, kappa: -0.0001, kb_relative_information_score: 0.0132, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6286, prior_entropy: 0.863, recall: 0.6286, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9746, kappa: 0.9378, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9409, kappa: 0.8543, kb_relative_information_score: 0.7556, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.8942, kb_relative_information_score: 0.7444, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.8942, kb_relative_information_score: 0.7444, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9715, kappa: 0.9301, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9715, kappa: 0.9301, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.9192, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.9192, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8843, kappa: 0.7277, kb_relative_information_score: 0.6717, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8963, predictive_accuracy: 0.8809, prior_entropy: 0.863, recall: 0.8809, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9746, kappa: 0.9378, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5611, kappa: -0, kb_relative_information_score: -0.2146, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5429, prior_entropy: 0.863, recall: 0.5429, relative_absolute_error: 1.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8843, kappa: 0.7277, kb_relative_information_score: 0.6717, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8963, predictive_accuracy: 0.8809, prior_entropy: 0.863, recall: 0.8809, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9409, kappa: 0.8543, kb_relative_information_score: 0.7556, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9697, kappa: 0.9256, kb_relative_information_score: 0.8876, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9714, kappa: 0.9298, kb_relative_information_score: 0.8979, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9237, kappa: 0.8124, kb_relative_information_score: 0.7937, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9671, kappa: 0.9194, kb_relative_information_score: 0.8446, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9515, kappa: 0.8811, kb_relative_information_score: 0.8504, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9382, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9479, kappa: 0.8724, kb_relative_information_score: 0.8263, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 0.8957, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.9134, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.9134, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9544, kappa: 0.8883, kb_relative_information_score: 0.8274, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9715, kappa: 0.9302, kb_relative_information_score: 0.9075, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9716, prior_entropy: 0.863, recall: 0.9716, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9488, kappa: 0.8746, kb_relative_information_score: 0.8504, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9596, kappa: 0.9009, kb_relative_information_score: 0.8442, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 0.8769, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6064, kappa: 0, kb_relative_information_score: 0.0133, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6286, prior_entropy: 0.863, recall: 0.6286, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9695, kappa: 0.9253, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.863, recall: 0.9695, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748,

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

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs