OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -6582.7236, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.2932, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.338, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, kb_relative_information_score: -6.5533, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.7767, kappa: 0.0066, kb_relative_information_score: -1.4031, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8701, predictive_accuracy: 0.8465, prior_entropy: 0.6204, recall: 0.8465, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9755, kappa: 0.9038, kb_relative_information_score: 4722.1778, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 0.6204, recall: 0.9761, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: -11763.2833, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 1.8291, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9773, kappa: 0.9113, kb_relative_information_score: 5286.3205, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 0.6204, recall: 0.9777, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -8680.5646, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.4955, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.391, root_relative_squared_error: 1.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8164, kappa: 0.1888, kb_relative_information_score: -9219.9458, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8832, predictive_accuracy: 0.8645, prior_entropy: 0.6204, recall: 0.8645, relative_absolute_error: 1.5664, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.1481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6550.4277, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.029, root_relative_squared_error: 0.0802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9928, kappa: 0.9724, kb_relative_information_score: 5939.3278, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.6204, recall: 0.9929, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9814, kappa: 0.9276, kb_relative_information_score: 5406.6159, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9816, predictive_accuracy: 0.9817, prior_entropy: 0.6204, recall: 0.9817, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, kb_relative_information_score: -2680.5123, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0659, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, kb_relative_information_score: -2687.8351, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0666, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.894, kappa: 0.5487, kb_relative_information_score: 2858.4274, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9162, predictive_accuracy: 0.9097, prior_entropy: 0.6204, recall: 0.9097, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6499.6855, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 5573.048, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, kb_relative_information_score: -2717.0155, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0684, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9908, kappa: 0.9646, kb_relative_information_score: 5713.6827, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9901, kappa: 0.9618, kb_relative_information_score: 5765.5618, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.2744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6537.2478, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0374, root_relative_squared_error: 0.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9724, kb_relative_information_score: 5901.8414, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.6204, recall: 0.9929, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6504.7463, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, kb_relative_information_score: -2709.5281, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9792, kappa: 0.9189, kb_relative_information_score: 5305.4306, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9794, predictive_accuracy: 0.9795, prior_entropy: 0.6204, recall: 0.9795, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.133, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6468.5338, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0342, root_relative_squared_error: 0.0947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9712, kappa: 0.8868, kb_relative_information_score: 5107.8654, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9718, predictive_accuracy: 0.972, prior_entropy: 0.6204, recall: 0.972, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9922, kappa: 0.97, kb_relative_information_score: 5808.5407, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.6204, recall: 0.9923, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.2584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6498.5201, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0332, root_relative_squared_error: 0.0919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2613.0527, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6499.2126, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0336, root_relative_squared_error: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9867, kappa: 0.9486, kb_relative_information_score: 5587.9555, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9867, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: -9582.7508, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 1.5832, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9947, kb_relative_information_score: -9469.6045, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 1.5764, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6460.2764, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0367, root_relative_squared_error: 0.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6486.8006, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9892, kappa: 0.9582, kb_relative_information_score: 5624.3297, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6412.8396, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9898, kappa: 0.9605, kb_relative_information_score: 5716.307, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.6204, recall: 0.9898, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9855, kappa: 0.9438, kb_relative_information_score: 5465.2014, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 0.6204, recall: 0.9858, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9861, kappa: 0.946, kb_relative_information_score: 5728.6164, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 0.6204, recall: 0.9862, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6436.6893, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.1056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6491.9519, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6510.9211, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.8886, kappa: 0.5231, kb_relative_information_score: 2405.8859, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9158, predictive_accuracy: 0.9065, prior_entropy: 0.6204, recall: 0.9065, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: -3962.9103, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 1.0724, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9847, kb_relative_information_score: -11049.4349, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.6204, recall: 0.9961, relative_absolute_error: 1.7465, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9636, kb_relative_information_score: 5878.1143, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.6204, recall: 0.9906, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.981, kappa: 0.9261, kb_relative_information_score: 5281.9761, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9813, predictive_accuracy: 0.9814, prior_entropy: 0.6204, recall: 0.9814, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, kb_relative_information_score: -2705.4458, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0676, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: -9099.896, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 1.5364, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6423.1865, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, kb_relative_information_score: -2696.0584, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0669, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9922, kappa: 0.97, kb_relative_information_score: 5951.3345, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.6204, recall: 0.9923, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2378,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9872, kappa: 0.9503, kb_relative_information_score: 5519.2212, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9872, predictive_accuracy: 0.9873, prior_entropy: 0.6204, recall: 0.9873, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.3188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: -5303.6961, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 1.1925, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2638.8874, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: -10084.2465, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 1.6488, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4331, root_relative_squared_error: 1.1994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9483, kappa: 0.7941, kb_relative_information_score: 4403.486, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9494, predictive_accuracy: 0.9504, prior_entropy: 0.6204, recall: 0.9504, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: -4327.4677, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 1.1069, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6343.9661, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9674, kappa: 0.8708, kb_relative_information_score: 4502.3049, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.6204, recall: 0.9685, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6503.5145, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.989, kappa: 0.9574, kb_relative_information_score: 5850.5324, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.8618, kappa: 0.3994, kb_relative_information_score: 1924.3452, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9022, predictive_accuracy: 0.8894, prior_entropy: 0.6204, recall: 0.8894, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.306, root_relative_squared_error: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6420.5146, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9892, kappa: 0.9581, kb_relative_information_score: 5596.6669, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.3023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6484.9121, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9706, kb_relative_information_score: 6016.5686, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: -4386.1427, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 1.1132, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9579, kb_relative_information_score: 5529.0767, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6389.0597, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8925, kappa: 0.5413, kb_relative_information_score: 2823.6963, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9168, predictive_accuracy: 0.9089, prior_entropy: 0.6204, recall: 0.9089, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.7764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, kb_relative_information_score: -2707.1437, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0675, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -8268.5934, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.4526, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3796, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.984, kappa: 0.938, kb_relative_information_score: 5473.1791, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.6204, recall: 0.9842, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6515.1579, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -9815.4089, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.6094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4201, root_relative_squared_error: 1.1636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9783, kb_relative_information_score: 6038.0916, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.6204, recall: 0.9944, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, kb_relative_information_score: -2707.9927, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0678, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6499.8948, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.033, root_relative_squared_error: 0.0915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9887, kappa: 0.9563, kb_relative_information_score: 5837.0232, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 6516.1906, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.1204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6387.921, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9935, kappa: 0.9748, kb_relative_information_score: 6036.5164, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.6204, recall: 0.9935, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.2253,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6461.8759, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, kb_relative_information_score: -2708.7517, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0676, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.989, kappa: 0.9572, kb_relative_information_score: 5669.7081, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.989, kappa: 0.9574, kb_relative_information_score: 5803.0079, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9878, kb_relative_information_score: 6211.1287, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, kb_relative_information_score: -2705.1331, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0674, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9834, kappa: 0.9355, kb_relative_information_score: 5340.9152, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 0.6204, recall: 0.9836, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, kb_relative_information_score: -2702.9151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6463.0257, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.1075,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs