Task
Supervised Classification on AP_Colon_Kidney

Supervised Classification on AP_Colon_Kidney

Task 3971 Supervised Classification AP_Colon_Kidney 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9633, kappa: 0.9264, kb_relative_information_score: 505.269, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9639, predictive_accuracy: 0.9634, prior_entropy: 0.9984, recall: 0.9634, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9414, kappa: 0.8824, kb_relative_information_score: 481.2675, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9415, predictive_accuracy: 0.9414, prior_entropy: 0.9984, recall: 0.9414, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9633, kappa: 0.9264, kb_relative_information_score: 484.3871, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9642, predictive_accuracy: 0.9634, prior_entropy: 0.9984, recall: 0.9634, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9652, kappa: 0.9304, kb_relative_information_score: 504.2277, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.966, predictive_accuracy: 0.9652, prior_entropy: 0.9984, recall: 0.9652, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9799, kappa: 0.9596, kb_relative_information_score: 523.9219, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9984, recall: 0.9799, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 487.7019, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 507.1535, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9615, kappa: 0.9229, kb_relative_information_score: 502.2054, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3926, scimark_benchmark: 1150.4212, usercpu_time_millis: 3270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3601, kb_relative_information_score: -0.0849, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9707, kappa: 0.9412, kb_relative_information_score: 485.1419, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9542, kappa: 0.9082, kb_relative_information_score: 495.8307, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.9984, recall: 0.9542, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 513.8893, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.971, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3601, kb_relative_information_score: -0.0091, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9688, kappa: 0.9375, kb_relative_information_score: 509.3161, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9578, kappa: 0.9155, kb_relative_information_score: 497.9289, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 0.9984, recall: 0.9579, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9725, kappa: 0.945, kb_relative_information_score: 515.8958, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 516.8271, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.3601, kb_relative_information_score: 12.0945, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.541, root_relative_squared_error: 1.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9689, kappa: 0.9376, kb_relative_information_score: 511.7423, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3601, kb_relative_information_score: 10.0392, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 516.5175, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9652, kappa: 0.9302, kb_relative_information_score: 507.3497, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9653, predictive_accuracy: 0.9652, prior_entropy: 0.9984, recall: 0.9652, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9688, kappa: 0.9375, kb_relative_information_score: 500.3366, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9696, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 509.7896, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9633, kappa: 0.9265, kb_relative_information_score: 505.0246, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9636, predictive_accuracy: 0.9634, prior_entropy: 0.9984, recall: 0.9634, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9835, kappa: 0.967, kb_relative_information_score: 526.3872, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.9984, recall: 0.9835, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: -1.8262, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.967, kappa: 0.9338, kb_relative_information_score: 490.8648, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9672, predictive_accuracy: 0.967, prior_entropy: 0.9984, recall: 0.967, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9688, kappa: 0.9375, kb_relative_information_score: 485.1955, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 519.012, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.2961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.256, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 515.5347, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9524, kappa: 0.9044, kb_relative_information_score: 489.6151, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9526, predictive_accuracy: 0.9524, prior_entropy: 0.9984, recall: 0.9524, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9323, kappa: 0.8643, kb_relative_information_score: 470.0742, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9326, predictive_accuracy: 0.9322, prior_entropy: 0.9984, recall: 0.9322, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9762, kappa: 0.9522, kb_relative_information_score: 493.0548, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 491.8622, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9707, kappa: 0.9412, kb_relative_information_score: 489.9775, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 489.3342, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.138, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.967, kappa: 0.9339, kb_relative_information_score: 472.1912, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9984, recall: 0.967, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 487.54, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.2765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 484.9016, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.141, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 481.6502, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 509.4342, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 514.582, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9688, kappa: 0.9375, kb_relative_information_score: 481.8703, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9762, kappa: 0.9522, kb_relative_information_score: 482.6331, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9765, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 509.1217, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 479.4681, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.2879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 475.076, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3601, kb_relative_information_score: -0.0091, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9615, kappa: 0.9229, kb_relative_information_score: 486.3116, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 469.4601, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 465.9253, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9396, kappa: 0.8789, kb_relative_information_score: 479.1992, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9984, recall: 0.9396, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 459.5037, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9725, kappa: 0.945, kb_relative_information_score: 452.3063, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3601, kb_relative_information_score: -0.0017, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9615, kappa: 0.9227, kb_relative_information_score: 482.709, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9625, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9615, kappa: 0.9227, kb_relative_information_score: 482.709, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9625, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9615, kappa: 0.9227, kb_relative_information_score: 482.709, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9625, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 519.9089, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9615, kappa: 0.9227, kb_relative_information_score: 482.709, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9625, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.967, kappa: 0.9338, kb_relative_information_score: 493.0759, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9674, predictive_accuracy: 0.967, prior_entropy: 0.9984, recall: 0.967, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9615, kappa: 0.9227, kb_relative_information_score: 482.709, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9625, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9615, kappa: 0.9227, kb_relative_information_score: 482.709, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9625, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9524, kappa: 0.9044, kb_relative_information_score: 483.381, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9526, predictive_accuracy: 0.9524, prior_entropy: 0.9984, recall: 0.9524, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9743, kappa: 0.9485, kb_relative_information_score: 497.2718, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9747, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.2968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9689, kappa: 0.9376, kb_relative_information_score: 504.859, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 509.7748, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9765, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 510.6318, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9799, kappa: 0.9596, kb_relative_information_score: 519.717, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9984, recall: 0.9799, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9725, kappa: 0.945, kb_relative_information_score: 510.9971, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9322, kappa: 0.8641, kb_relative_information_score: 471.7526, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9322, predictive_accuracy: 0.9322, prior_entropy: 0.9984, recall: 0.9322, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.967, kappa: 0.9339, kb_relative_information_score: 512.256, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9984, recall: 0.967, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9817, kappa: 0.9633, kb_relative_information_score: 526.022, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9819, predictive_accuracy: 0.9817, prior_entropy: 0.9984, recall: 0.9817, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9579, kappa: 0.9155, kb_relative_information_score: 498.6191, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.958, predictive_accuracy: 0.9579, prior_entropy: 0.9984, recall: 0.9579, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9798, kappa: 0.9596, kb_relative_information_score: 523.6012, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9984, recall: 0.9799, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 515.8958, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 518.3846, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 433.366, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9689, kappa: 0.9376, kb_relative_information_score: 469.0575, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9578, kappa: 0.9155, kb_relative_information_score: 499.9728, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 0.9984, recall: 0.9579, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9689, kappa: 0.9376, kb_relative_information_score: 511.8828, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 518.146, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.2956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 469.1624, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9579, kappa: 0.9155, kb_relative_information_score: 485.0626, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.9984, recall: 0.9579, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 516.986, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9652, kappa: 0.9302, kb_relative_information_score: 474.1734, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9653, predictive_accuracy: 0.9652, prior_entropy: 0.9984, recall: 0.9652, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9579, kappa: 0.9158, kb_relative_information_score: 15.8671, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.959, predictive_accuracy: 0.9579, prior_entropy: 0.9984, recall: 0.9579, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.967, kappa: 0.9339, kb_relative_information_score: 494.4669, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9984, recall: 0.967, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 514.964, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.956, kappa: 0.9118, kb_relative_information_score: 488.6469, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9562, predictive_accuracy: 0.956, prior_entropy: 0.9984, recall: 0.956, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9542, kappa: 0.9081, kb_relative_information_score: 477.8317, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9984, recall: 0.9542, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9505, kappa: 0.9007, kb_relative_information_score: 466.8142, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.951, predictive_accuracy: 0.9505, prior_entropy: 0.9984, recall: 0.9505, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9578, kappa: 0.9155, kb_relative_information_score: 499.9037, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 0.9984, recall: 0.9579, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 24.3007, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9542, kappa: 0.9081, kb_relative_information_score: 495.8307, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9545, predictive_accuracy: 0.9542, prior_entropy: 0.9984, recall: 0.9542, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.967, kappa: 0.934, kb_relative_information_score: 11.182, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9675, predictive_accuracy: 0.967, prior_entropy: 0.9984, recall: 0.967, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 24.3007, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817,

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

OpenML APIs