OpenML
Supervised Classification on tr45.wc

Supervised Classification on tr45.wc

Task 3518 Supervised Classification tr45.wc 283 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8383, kappa: 0.8158, kb_relative_information_score: 553.5327, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8412, predictive_accuracy: 0.842, prior_entropy: 3.0415, recall: 0.842, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, kappa: 0.2588, kb_relative_information_score: 158.6676, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.7858, kappa: 0.7376, kb_relative_information_score: 462.6427, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8065, predictive_accuracy: 0.7739, prior_entropy: 3.0415, recall: 0.7739, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8506, kappa: 0.834, kb_relative_information_score: 572.4633, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8512, predictive_accuracy: 0.858, prior_entropy: 3.0415, recall: 0.858, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8729, kappa: 0.8547, kb_relative_information_score: 523.1964, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8785, predictive_accuracy: 0.8754, prior_entropy: 3.0415, recall: 0.8754, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8333, kappa: 0.8172, kb_relative_information_score: 479.2323, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8392, predictive_accuracy: 0.8449, prior_entropy: 3.0415, recall: 0.8449, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8886, kappa: 0.8715, kb_relative_information_score: 594.8118, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8895, predictive_accuracy: 0.8899, prior_entropy: 3.0415, recall: 0.8899, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.0873, kb_relative_information_score: 0.6963, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2932, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0013, kappa: 0, kb_relative_information_score: -19.1748, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0007, predictive_accuracy: 0.0261, prior_entropy: 3.0415, recall: 0.0261, relative_absolute_error: 1.1321, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.874, kappa: 0.8548, kb_relative_information_score: 582.1008, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8776, predictive_accuracy: 0.8754, prior_entropy: 3.0415, recall: 0.8754, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9371, kappa: 0.9274, kb_relative_information_score: 598.2944, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 3.0415, recall: 0.9377, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9228, kappa: 0.9121, kb_relative_information_score: 625.6094, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9247, predictive_accuracy: 0.9246, prior_entropy: 3.0415, recall: 0.9246, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.0528, kappa: -0.0005, kb_relative_information_score: 27.208, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0441, predictive_accuracy: 0.1145, prior_entropy: 3.0415, recall: 0.1145, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2984, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.0669, kappa: 0.0054, kb_relative_information_score: 13.3212, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2694, predictive_accuracy: 0.1899, prior_entropy: 3.0415, recall: 0.1899, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.2911, kappa: 0.2383, kb_relative_information_score: 180.3063, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4997, predictive_accuracy: 0.3478, prior_entropy: 3.0415, recall: 0.3478, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8596, kappa: 0.8445, kb_relative_information_score: 568.2296, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8597, predictive_accuracy: 0.8667, prior_entropy: 3.0415, recall: 0.8667, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.0656, kappa: -0.0014, kb_relative_information_score: 27.1152, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0429, predictive_accuracy: 0.1754, prior_entropy: 3.0415, recall: 0.1754, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2968, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9227, kappa: 0.9184, kb_relative_information_score: 512.9069, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9359, predictive_accuracy: 0.9304, prior_entropy: 3.0415, recall: 0.9304, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9236, kappa: 0.9121, kb_relative_information_score: 626.4168, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9241, predictive_accuracy: 0.9246, prior_entropy: 3.0415, recall: 0.9246, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9021, kappa: 0.8887, kb_relative_information_score: 600.888, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.902, predictive_accuracy: 0.9043, prior_entropy: 3.0415, recall: 0.9043, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.4597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7143, kappa: 0.6724, kb_relative_information_score: 452.0563, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7989, predictive_accuracy: 0.7304, prior_entropy: 3.0415, recall: 0.7304, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 160.2159, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.2907, kappa: 0.2554, kb_relative_information_score: 168.1612, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2621, predictive_accuracy: 0.4, prior_entropy: 3.0415, recall: 0.4, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9576, kappa: 0.9527, kb_relative_information_score: 650.2291, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9583, predictive_accuracy: 0.9594, prior_entropy: 3.0415, recall: 0.9594, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9082, kappa: 0.8938, kb_relative_information_score: 605.5304, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.909, predictive_accuracy: 0.9087, prior_entropy: 3.0415, recall: 0.9087, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8699, kappa: 0.8488, kb_relative_information_score: 571.62, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8771, predictive_accuracy: 0.871, prior_entropy: 3.0415, recall: 0.871, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9035, kappa: 0.8886, kb_relative_information_score: 587.7811, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9101, predictive_accuracy: 0.9043, prior_entropy: 3.0415, recall: 0.9043, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9459, kappa: 0.9375, kb_relative_information_score: 644.1779, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 3.0415, recall: 0.9464, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9637, kappa: 0.9578, kb_relative_information_score: 659.1677, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9641, predictive_accuracy: 0.9638, prior_entropy: 3.0415, recall: 0.9638, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.2844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8843, kappa: 0.8665, kb_relative_information_score: 584.9499, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8871, predictive_accuracy: 0.8855, prior_entropy: 3.0415, recall: 0.8855, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.93, kappa: 0.9188, kb_relative_information_score: 630.2541, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.931, predictive_accuracy: 0.9304, prior_entropy: 3.0415, recall: 0.9304, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9297, kappa: 0.9189, kb_relative_information_score: 631.0969, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9301, predictive_accuracy: 0.9304, prior_entropy: 3.0415, recall: 0.9304, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.823, kappa: 0.7919, kb_relative_information_score: 531.5805, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8299, predictive_accuracy: 0.8217, prior_entropy: 3.0415, recall: 0.8217, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9245, kappa: 0.9123, kb_relative_information_score: 619.9436, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9266, predictive_accuracy: 0.9246, prior_entropy: 3.0415, recall: 0.9246, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9078, kappa: 0.9031, kb_relative_information_score: 496.7832, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9048, predictive_accuracy: 0.9174, prior_entropy: 3.0415, recall: 0.9174, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8939, kappa: 0.8876, kb_relative_information_score: 482.7386, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.893, predictive_accuracy: 0.9043, prior_entropy: 3.0415, recall: 0.9043, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8834, kappa: 0.8757, kb_relative_information_score: 468.8492, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8835, predictive_accuracy: 0.8942, prior_entropy: 3.0415, recall: 0.8942, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8763, kappa: 0.8669, kb_relative_information_score: 446.462, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8808, predictive_accuracy: 0.887, prior_entropy: 3.0415, recall: 0.887, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.6042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8112, kappa: 0.7936, kb_relative_information_score: 382.7309, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8343, predictive_accuracy: 0.8261, prior_entropy: 3.0415, recall: 0.8261, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8732, kappa: 0.8636, kb_relative_information_score: 436.6849, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8756, predictive_accuracy: 0.8841, prior_entropy: 3.0415, recall: 0.8841, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9593, kappa: 0.9527, kb_relative_information_score: 656.0501, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9599, predictive_accuracy: 0.9594, prior_entropy: 3.0415, recall: 0.9594, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.904, kappa: 0.8998, kb_relative_information_score: 529.158, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.898, predictive_accuracy: 0.9145, prior_entropy: 3.0415, recall: 0.9145, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.8547, kappa: 0.8425, kb_relative_information_score: 420.3504, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8642, predictive_accuracy: 0.8667, prior_entropy: 3.0415, recall: 0.8667, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.7086, kappa: 0.6774, kb_relative_information_score: 381.8629, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7239, predictive_accuracy: 0.7275, prior_entropy: 3.0415, recall: 0.7275, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9621, kappa: 0.9561, kb_relative_information_score: 654.8347, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9628, predictive_accuracy: 0.9623, prior_entropy: 3.0415, recall: 0.9623, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.074, root_relative_squared_error: 0.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8506, kappa: 0.8374, kb_relative_information_score: 402.1397, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8606, predictive_accuracy: 0.8623, prior_entropy: 3.0415, recall: 0.8623, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.0873, kb_relative_information_score: 0.6963, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2932, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8321, kappa: 0.8184, kb_relative_information_score: 384.0759, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8478, predictive_accuracy: 0.8464, prior_entropy: 3.0415, recall: 0.8464, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8999, kappa: 0.8849, kb_relative_information_score: 564.582, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.903, predictive_accuracy: 0.9014, prior_entropy: 3.0415, recall: 0.9014, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8313, kappa: 0.8164, kb_relative_information_score: 370.9139, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8467, predictive_accuracy: 0.8449, prior_entropy: 3.0415, recall: 0.8449, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8174, kappa: 0.802, kb_relative_information_score: 358.8047, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.845, predictive_accuracy: 0.8333, prior_entropy: 3.0415, recall: 0.8333, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.808, kappa: 0.7899, kb_relative_information_score: 350.8844, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8356, predictive_accuracy: 0.8232, prior_entropy: 3.0415, recall: 0.8232, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.4685, kappa: 0.3832, kb_relative_information_score: 282.1074, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4672, predictive_accuracy: 0.471, prior_entropy: 3.0415, recall: 0.471, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.7911, kappa: 0.7705, kb_relative_information_score: 337.4689, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8222, predictive_accuracy: 0.8072, prior_entropy: 3.0415, recall: 0.8072, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.218, root_relative_squared_error: 0.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2088, kappa: 0.1538, kb_relative_information_score: 107.8217, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.1629, predictive_accuracy: 0.3275, prior_entropy: 3.0415, recall: 0.3275, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2088, kappa: 0.1538, kb_relative_information_score: 107.8217, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.1629, predictive_accuracy: 0.3275, prior_entropy: 3.0415, recall: 0.3275, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.4796, kappa: 0.4508, kb_relative_information_score: 291.5193, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4486, predictive_accuracy: 0.5362, prior_entropy: 3.0415, recall: 0.5362, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.5659, kappa: 0.5451, kb_relative_information_score: 365.8351, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.5554, predictive_accuracy: 0.6101, prior_entropy: 3.0415, recall: 0.6101, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.219, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.6909, kappa: 0.6641, kb_relative_information_score: 445.522, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.6861, predictive_accuracy: 0.7116, prior_entropy: 3.0415, recall: 0.7116, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 187.6875, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.1235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7719, kappa: 0.7489, kb_relative_information_score: 488.5539, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7738, predictive_accuracy: 0.7841, prior_entropy: 3.0415, recall: 0.7841, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8454, kappa: 0.8187, kb_relative_information_score: 542.5383, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8575, predictive_accuracy: 0.8435, prior_entropy: 3.0415, recall: 0.8435, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.152, root_relative_squared_error: 0.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9547, kappa: 0.9493, kb_relative_information_score: 640.1973, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9559, predictive_accuracy: 0.9565, prior_entropy: 3.0415, recall: 0.9565, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8291, kappa: 0.8081, kb_relative_information_score: 538.6517, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8281, predictive_accuracy: 0.8348, prior_entropy: 3.0415, recall: 0.8348, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.879, kappa: 0.8601, kb_relative_information_score: 575.1327, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8822, predictive_accuracy: 0.8797, prior_entropy: 3.0415, recall: 0.8797, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8764, kappa: 0.8582, kb_relative_information_score: 577.3322, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8783, predictive_accuracy: 0.8783, prior_entropy: 3.0415, recall: 0.8783, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.619, kappa: 0.5877, kb_relative_information_score: 108.5315, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.6964, predictive_accuracy: 0.6551, prior_entropy: 3.0415, recall: 0.6551, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9086, kappa: 0.8937, kb_relative_information_score: 602.7622, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9111, predictive_accuracy: 0.9087, prior_entropy: 3.0415, recall: 0.9087, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.4205, kappa: 0.3395, kb_relative_information_score: 251.5011, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.5252, predictive_accuracy: 0.4507, prior_entropy: 3.0415, recall: 0.4507, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.5195, kappa: 0.4423, kb_relative_information_score: 316.7195, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.5188, predictive_accuracy: 0.5217, prior_entropy: 3.0415, recall: 0.5217, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3093, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.2664, kappa: 0.2475, kb_relative_information_score: 184.6503, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.22, predictive_accuracy: 0.3971, prior_entropy: 3.0415, recall: 0.3971, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6626, kappa: 0.6117, kb_relative_information_score: 364.4813, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7434, predictive_accuracy: 0.6609, prior_entropy: 3.0415, recall: 0.6609, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.909, kappa: 0.8938, kb_relative_information_score: 605.8054, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9105, predictive_accuracy: 0.9087, prior_entropy: 3.0415, recall: 0.9087, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9061, kappa: 0.8906, kb_relative_information_score: 607.4623, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9088, predictive_accuracy: 0.9058, prior_entropy: 3.0415, recall: 0.9058, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.4002, kappa: 0.3115, kb_relative_information_score: 244.3521, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4765, predictive_accuracy: 0.4203, prior_entropy: 3.0415, recall: 0.4203, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.1522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.6654, kappa: 0.5949, kb_relative_information_score: 422.6102, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7685, predictive_accuracy: 0.642, prior_entropy: 3.0415, recall: 0.642, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8595, kappa: 0.8367, kb_relative_information_score: 564.7286, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8594, prior_entropy: 3.0415, recall: 0.8594, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8394, kappa: 0.8249, kb_relative_information_score: 361.4941, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8604, predictive_accuracy: 0.8522, prior_entropy: 3.0415, recall: 0.8522, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7791, kappa: 0.758, kb_relative_information_score: 327.0896, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8185, predictive_accuracy: 0.7971, prior_entropy: 3.0415, recall: 0.7971, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0581, kb_relative_information_score: 25.3001, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0344, predictive_accuracy: 0.1855, prior_entropy: 3.0415, recall: 0.1855, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9088, kappa: 0.889, kb_relative_information_score: 611.6599, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9159, predictive_accuracy: 0.9043, prior_entropy: 3.0415, recall: 0.9043, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.5789, kappa: 0.5046, kb_relative_information_score: 113.466, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7643, predictive_accuracy: 0.5986, prior_entropy: 3.0415, recall: 0.5986, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7379, kappa: 0.7007, kb_relative_information_score: 505.5678, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7776, predictive_accuracy: 0.7406, prior_entropy: 3.0415, recall: 0.7406, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.6756, kappa: 0.6412, kb_relative_information_score: 363.97, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7137, predictive_accuracy: 0.6986, prior_entropy: 3.0415, recall: 0.6986, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8549, kappa: 0.8363, kb_relative_information_score: 557.9975, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8574, predictive_accuracy: 0.8594, prior_entropy: 3.0415, recall: 0.8594, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.7889, kappa: 0.7534, kb_relative_information_score: 522.9444, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.823, predictive_accuracy: 0.7928, prior_entropy: 3.0415, recall: 0.7928, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.5075, kappa: 0.44, kb_relative_information_score: 358.9079, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7131, predictive_accuracy: 0.5043, prior_entropy: 3.0415, recall: 0.5043, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.342, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.4783, kappa: 0.3705, kb_relative_information_score: 26.033, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.772, predictive_accuracy: 0.4986, prior_entropy: 3.0415, recall: 0.4986, relative_absolute_error: 1.0451, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2997, root_relative_squared_error: 1.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9211, kappa: 0.9106, kb_relative_information_score: 614.8974, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9286, predictive_accuracy: 0.9232, prior_entropy: 3.0415, recall: 0.9232, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8588, kappa: 0.8319, kb_relative_information_score: 548.5038, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8707, predictive_accuracy: 0.8551, prior_entropy: 3.0415, recall: 0.8551, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8826, kappa: 0.8634, kb_relative_information_score: 576.5209, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8877, predictive_accuracy: 0.8826, prior_entropy: 3.0415, recall: 0.8826, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.1383, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7705, kappa: 0.7387, kb_relative_information_score: 354.4336, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7896, predictive_accuracy: 0.7783, prior_entropy: 3.0415, recall: 0.7783, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9143, kappa: 0.8998, kb_relative_information_score: 616.2036, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9198, predictive_accuracy: 0.9145, prior_entropy: 3.0415, recall: 0.9145, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8438, kappa: 0.8198, kb_relative_information_score: 561.8868, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8523, predictive_accuracy: 0.8449, prior_entropy: 3.0415, recall: 0.8449, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.0639, kappa: 0.0034, kb_relative_information_score: 66.4909, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2664, predictive_accuracy: 0.1884, prior_entropy: 3.0415, recall: 0.1884, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.4029, root_relative_squared_error: 1.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.5409, kappa: 0.4437, kb_relative_information_score: 26.0307, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7656, predictive_accuracy: 0.5522, prior_entropy: 3.0415, recall: 0.5522, relative_absolute_error: 1.0451, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2997, root_relative_squared_error: 1.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7143, kappa: 0.6724, kb_relative_information_score: 452.0563, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7989, predictive_accuracy: 0.7304, prior_entropy: 3.0415, recall: 0.7304, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.7919,

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

OpenML APIs