Task
Supervised Classification on oh0.wc

Supervised Classification on oh0.wc

Task 3527 Supervised Classification oh0.wc 295 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.854, kappa: 0.8331, kb_relative_information_score: 735.2238, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8587, predictive_accuracy: 0.8544, prior_entropy: 3.1536, recall: 0.8544, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8424, kappa: 0.8172, kb_relative_information_score: 724.2074, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8566, predictive_accuracy: 0.8415, prior_entropy: 3.1536, recall: 0.8415, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.817, kappa: 0.7874, kb_relative_information_score: 797.9259, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8243, predictive_accuracy: 0.8146, prior_entropy: 3.1536, recall: 0.8146, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 0.7746, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.0349, kappa: 0.0356, kb_relative_information_score: 55.0228, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0415, predictive_accuracy: 0.0867, prior_entropy: 3.1536, recall: 0.0867, relative_absolute_error: 1.044, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.4452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8289, kappa: 0.7952, kb_relative_information_score: 800.7564, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8565, predictive_accuracy: 0.8225, prior_entropy: 3.1536, recall: 0.8225, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8157, kappa: 0.7801, kb_relative_information_score: 731.6525, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8429, predictive_accuracy: 0.8096, prior_entropy: 3.1536, recall: 0.8096, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8072, kappa: 0.7685, kb_relative_information_score: 785.9936, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8521, predictive_accuracy: 0.7996, prior_entropy: 3.1536, recall: 0.7996, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.6281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, f_measure: 0.0767, kappa: -0.0005, kb_relative_information_score: 37.8062, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0506, predictive_accuracy: 0.1665, prior_entropy: 3.1536, recall: 0.1665, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2987, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.1022, kappa: 0.0149, kb_relative_information_score: 24.9567, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0789, predictive_accuracy: 0.1954, prior_entropy: 3.1536, recall: 0.1954, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7861, kappa: 0.7505, kb_relative_information_score: 754.5661, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7986, predictive_accuracy: 0.7827, prior_entropy: 3.1536, recall: 0.7827, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.0767, kappa: -0.0005, kb_relative_information_score: 30.7353, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0506, predictive_accuracy: 0.1665, prior_entropy: 3.1536, recall: 0.1665, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2977, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8145, kappa: 0.7836, kb_relative_information_score: 791.3173, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8227, predictive_accuracy: 0.8116, prior_entropy: 3.1536, recall: 0.8116, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 201.5794, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8837, kappa: 0.8648, kb_relative_information_score: 871.1746, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.891, predictive_accuracy: 0.8824, prior_entropy: 3.1536, recall: 0.8824, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 202.9704, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8429, kappa: 0.8091, kb_relative_information_score: 792.946, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8738, predictive_accuracy: 0.8345, prior_entropy: 3.1536, recall: 0.8345, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8181, kappa: 0.781, kb_relative_information_score: 748.1046, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8589, predictive_accuracy: 0.8106, prior_entropy: 3.1536, recall: 0.8106, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8264, kappa: 0.7942, kb_relative_information_score: 750.0221, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8558, predictive_accuracy: 0.8215, prior_entropy: 3.1536, recall: 0.8215, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8536, kappa: 0.827, kb_relative_information_score: 843.7083, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8682, predictive_accuracy: 0.8495, prior_entropy: 3.1536, recall: 0.8495, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8319, kappa: 0.8026, kb_relative_information_score: 791.2575, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.847, predictive_accuracy: 0.8285, prior_entropy: 3.1536, recall: 0.8285, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8364, kappa: 0.8093, kb_relative_information_score: 813.4698, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8513, predictive_accuracy: 0.8345, prior_entropy: 3.1536, recall: 0.8345, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8498, kappa: 0.8171, kb_relative_information_score: 834.0485, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8773, predictive_accuracy: 0.8415, prior_entropy: 3.1536, recall: 0.8415, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8711, kappa: 0.85, kb_relative_information_score: 855.4433, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8785, predictive_accuracy: 0.8694, prior_entropy: 3.1536, recall: 0.8694, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.864, kappa: 0.8366, kb_relative_information_score: 762.3779, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8906, predictive_accuracy: 0.8584, prior_entropy: 3.1536, recall: 0.8584, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.8607, kappa: 0.8331, kb_relative_information_score: 750.9997, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8865, predictive_accuracy: 0.8554, prior_entropy: 3.1536, recall: 0.8554, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8764, kappa: 0.854, kb_relative_information_score: 731.883, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8957, predictive_accuracy: 0.8734, prior_entropy: 3.1536, recall: 0.8734, relative_absolute_error: 0.4304, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8838, kappa: 0.8632, kb_relative_information_score: 716.2428, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.9004, predictive_accuracy: 0.8814, prior_entropy: 3.1536, recall: 0.8814, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8828, kappa: 0.8631, kb_relative_information_score: 683.9415, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8993, predictive_accuracy: 0.8814, prior_entropy: 3.1536, recall: 0.8814, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.781, kappa: 0.7566, kb_relative_information_score: 535.7796, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8136, predictive_accuracy: 0.7906, prior_entropy: 3.1536, recall: 0.7906, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8792, kappa: 0.8608, kb_relative_information_score: 663.1796, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8932, predictive_accuracy: 0.8794, prior_entropy: 3.1536, recall: 0.8794, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.6082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8711, kappa: 0.85, kb_relative_information_score: 855.4433, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8785, predictive_accuracy: 0.8694, prior_entropy: 3.1536, recall: 0.8694, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8502, kappa: 0.8241, kb_relative_information_score: 697.2655, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8698, predictive_accuracy: 0.8475, prior_entropy: 3.1536, recall: 0.8475, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8594, kappa: 0.8351, kb_relative_information_score: 804.9403, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.868, predictive_accuracy: 0.8564, prior_entropy: 3.1536, recall: 0.8564, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.873, kappa: 0.8538, kb_relative_information_score: 628.8092, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.889, predictive_accuracy: 0.8734, prior_entropy: 3.1536, recall: 0.8734, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.7285, kappa: 0.6998, kb_relative_information_score: 563.7028, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7536, predictive_accuracy: 0.7408, prior_entropy: 3.1536, recall: 0.7408, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.215, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8578, kappa: 0.8328, kb_relative_information_score: 800.675, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8678, predictive_accuracy: 0.8544, prior_entropy: 3.1536, recall: 0.8544, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8547, kappa: 0.8363, kb_relative_information_score: 603.1886, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8756, predictive_accuracy: 0.8584, prior_entropy: 3.1536, recall: 0.8584, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 0.7746, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8631, kappa: 0.8466, kb_relative_information_score: 569.4436, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8828, predictive_accuracy: 0.8674, prior_entropy: 3.1536, recall: 0.8674, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7454, kappa: 0.7096, kb_relative_information_score: 599.9938, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7529, predictive_accuracy: 0.7478, prior_entropy: 3.1536, recall: 0.7478, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8292, kappa: 0.8102, kb_relative_information_score: 538.8532, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8603, predictive_accuracy: 0.8365, prior_entropy: 3.1536, recall: 0.8365, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8137, kappa: 0.7937, kb_relative_information_score: 505.9675, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8487, predictive_accuracy: 0.8225, prior_entropy: 3.1536, recall: 0.8225, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.7448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.7967, kappa: 0.7747, kb_relative_information_score: 486.6452, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.84, predictive_accuracy: 0.8066, prior_entropy: 3.1536, recall: 0.8066, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.4518, kappa: 0.3752, kb_relative_information_score: 415.9263, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4517, predictive_accuracy: 0.4536, prior_entropy: 3.1536, recall: 0.4536, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3235, root_relative_squared_error: 1.0941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.7855, kappa: 0.7677, kb_relative_information_score: 466.3573, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8332, predictive_accuracy: 0.8006, prior_entropy: 3.1536, recall: 0.8006, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.1299, kappa: 0.064, kb_relative_information_score: 67.2093, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0892, predictive_accuracy: 0.2393, prior_entropy: 3.1536, recall: 0.2393, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.1299, kappa: 0.064, kb_relative_information_score: 67.2093, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0892, predictive_accuracy: 0.2393, prior_entropy: 3.1536, recall: 0.2393, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.3398, kappa: 0.2982, kb_relative_information_score: 292.1581, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.3186, predictive_accuracy: 0.4028, prior_entropy: 3.1536, recall: 0.4028, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.345, kappa: 0.3312, kb_relative_information_score: 341.812, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.3121, predictive_accuracy: 0.4337, prior_entropy: 3.1536, recall: 0.4337, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.5268, kappa: 0.4528, kb_relative_information_score: 460.3044, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7252, predictive_accuracy: 0.5434, prior_entropy: 3.1536, recall: 0.5434, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3022, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.5314, kappa: 0.497, kb_relative_information_score: 471.3248, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.567, predictive_accuracy: 0.5703, prior_entropy: 3.1536, recall: 0.5703, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.7852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 241.8952, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3603, root_relative_squared_error: 1.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8805, kappa: 0.86, kb_relative_information_score: 851.0141, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8933, predictive_accuracy: 0.8784, prior_entropy: 3.1536, recall: 0.8784, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.5727, kappa: 0.5263, kb_relative_information_score: 523.0874, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.5874, predictive_accuracy: 0.5922, prior_entropy: 3.1536, recall: 0.5922, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.6523, kappa: 0.6091, kb_relative_information_score: 598.0299, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6848, predictive_accuracy: 0.664, prior_entropy: 3.1536, recall: 0.664, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.7427, kappa: 0.6923, kb_relative_information_score: 665.7036, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7926, predictive_accuracy: 0.7348, prior_entropy: 3.1536, recall: 0.7348, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7593, kappa: 0.7163, kb_relative_information_score: 698.1367, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7922, predictive_accuracy: 0.7547, prior_entropy: 3.1536, recall: 0.7547, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8133, kappa: 0.7776, kb_relative_information_score: 742.6805, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8528, predictive_accuracy: 0.8076, prior_entropy: 3.1536, recall: 0.8076, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.6894, kappa: 0.6191, kb_relative_information_score: 196.6594, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8161, predictive_accuracy: 0.676, prior_entropy: 3.1536, recall: 0.676, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8266, kappa: 0.7954, kb_relative_information_score: 767.5435, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8521, predictive_accuracy: 0.8225, prior_entropy: 3.1536, recall: 0.8225, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.1749, kappa: 0.0847, kb_relative_information_score: 160.4445, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4005, predictive_accuracy: 0.1884, prior_entropy: 3.1536, recall: 0.1884, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3286, root_relative_squared_error: 1.1113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.4477, kappa: 0.3708, kb_relative_information_score: 394.4315, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4476, predictive_accuracy: 0.4497, prior_entropy: 3.1536, recall: 0.4497, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3318, root_relative_squared_error: 1.1219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 241.8952, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3603, root_relative_squared_error: 1.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.7696, kappa: 0.7371, kb_relative_information_score: 756.9445, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.78, predictive_accuracy: 0.7687, prior_entropy: 3.1536, recall: 0.7687, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8319, kappa: 0.8, kb_relative_information_score: 778.4775, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8527, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8345, kappa: 0.8039, kb_relative_information_score: 794.7323, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8515, predictive_accuracy: 0.8295, prior_entropy: 3.1536, recall: 0.8295, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.173, kappa: 0.0875, kb_relative_information_score: 128.0223, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4206, predictive_accuracy: 0.1904, prior_entropy: 3.1536, recall: 0.1904, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4002, root_relative_squared_error: 1.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.818, kappa: 0.7835, kb_relative_information_score: 760.3112, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8453, predictive_accuracy: 0.8126, prior_entropy: 3.1536, recall: 0.8126, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.7609, kappa: 0.7429, kb_relative_information_score: 453.1477, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8155, predictive_accuracy: 0.7797, prior_entropy: 3.1536, recall: 0.7797, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.8363, kappa: 0.8172, kb_relative_information_score: 514.8817, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8666, predictive_accuracy: 0.8425, prior_entropy: 3.1536, recall: 0.8425, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.2801, kappa: 0.1762, kb_relative_information_score: 245.1603, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6349, predictive_accuracy: 0.3161, prior_entropy: 3.1536, recall: 0.3161, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7712, kappa: 0.7483, kb_relative_information_score: 776.7745, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7884, predictive_accuracy: 0.7777, prior_entropy: 3.1536, recall: 0.7777, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.4404, kappa: 0.4251, kb_relative_information_score: 132.3017, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6179, predictive_accuracy: 0.5254, prior_entropy: 3.1536, recall: 0.5254, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8156, kappa: 0.7914, kb_relative_information_score: 807.7859, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8172, predictive_accuracy: 0.8175, prior_entropy: 3.1536, recall: 0.8175, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7023, kappa: 0.6619, kb_relative_information_score: 524.0534, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7297, predictive_accuracy: 0.7079, prior_entropy: 3.1536, recall: 0.7079, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.7745, kappa: 0.7305, kb_relative_information_score: 708.1546, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.817, predictive_accuracy: 0.7667, prior_entropy: 3.1536, recall: 0.7667, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.7644, kappa: 0.7167, kb_relative_information_score: 723.9224, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8342, predictive_accuracy: 0.7577, prior_entropy: 3.1536, recall: 0.7577, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.6211, kappa: 0.5799, kb_relative_information_score: 637.5571, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.808, predictive_accuracy: 0.6181, prior_entropy: 3.1536, recall: 0.6181, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9442, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.7062, kappa: 0.6869, kb_relative_information_score: 57.8603, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.806, predictive_accuracy: 0.7338, prior_entropy: 3.1536, recall: 0.7338, relative_absolute_error: 1.0284, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8472, kappa: 0.816, kb_relative_information_score: 810.1147, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8733, predictive_accuracy: 0.8405, prior_entropy: 3.1536, recall: 0.8405, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7549, kappa: 0.6944, kb_relative_information_score: 619.8148, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8543, predictive_accuracy: 0.7378, prior_entropy: 3.1536, recall: 0.7378, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.836, kappa: 0.8032, kb_relative_information_score: 773.378, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8646, predictive_accuracy: 0.8295, prior_entropy: 3.1536, recall: 0.8295, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.783, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7711, kappa: 0.7239, kb_relative_information_score: 521.402, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8264, predictive_accuracy: 0.7607, prior_entropy: 3.1536, recall: 0.7607, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.6902, kappa: 0.6301, kb_relative_information_score: 643.0282, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.732, predictive_accuracy: 0.681, prior_entropy: 3.1536, recall: 0.681, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0061, kb_relative_information_score: 13.8485, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0032, predictive_accuracy: 0.0568, prior_entropy: 3.1536, recall: 0.0568, relative_absolute_error: 1.0782, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4343, root_relative_squared_error: 1.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.7224, kappa: 0.6984, kb_relative_information_score: 57.8795, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8071, predictive_accuracy: 0.7428, prior_entropy: 3.1536, recall: 0.7428, relative_absolute_error: 1.0284, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.5268, kappa: 0.4528, kb_relative_information_score: 460.3044, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7252, predictive_accuracy: 0.5434, prior_entropy: 3.1536, recall: 0.5434, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3022, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.3958, kappa: 0.3508, kb_relative_information_score: 110.4696, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.5757, predictive_accuracy: 0.4656, prior_entropy: 3.1536, recall: 0.4656, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.6622, kappa: 0.6198, kb_relative_information_score: 624.8751, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6699, predictive_accuracy: 0.671, prior_entropy: 3.1536, recall: 0.671, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8893, kappa: 0.8735, kb_relative_information_score: 889.546, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8918, predictive_accuracy: 0.8893, prior_entropy: 3.1536, recall: 0.8893, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8031, kappa: 0.7714, kb_relative_information_score: 780.375, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8095, predictive_accuracy: 0.8006, prior_entropy: 3.1536, recall: 0.8006, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 0.7746, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7981, kappa: 0.7704, kb_relative_information_score: 777.422, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8023, predictive_accuracy: 0.7986, prior_entropy: 3.1536, recall: 0.7986, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7981, kappa: 0.7704, kb_relative_information_score: 777.422, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8023, predictive_accuracy: 0.7986, prior_entropy: 3.1536, recall: 0.7986, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098,

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