OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4583 runs submitted
0 likes downloaded by 23 people , 48 total downloads 0 issues
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4583 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 127.0381, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.6861, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.4599, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.0748, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.0335, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.5404, kappa: 0.4, kb_relative_information_score: 60.4456, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5282, predictive_accuracy: 0.6, prior_entropy: 1.585, recall: 0.6, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 127.8579, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0889, kb_relative_information_score: -0.1294, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1369, kb_relative_information_score: 2.2246, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.6958, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9282, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9141, kappa: 0.87, kb_relative_information_score: 126.2543, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9171, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0769, kb_relative_information_score: -0.2353, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8733, kappa: 0.81, kb_relative_information_score: 112.8387, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8734, predictive_accuracy: 0.8733, prior_entropy: 1.585, recall: 0.8733, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.6028, kappa: 0.45, kb_relative_information_score: 30.1746, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6684, predictive_accuracy: 0.6333, prior_entropy: 1.585, recall: 0.6333, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.4558, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1416, kb_relative_information_score: 0.7129, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9403, kappa: 0.91, kb_relative_information_score: 114.1153, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9431, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 127.3819, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.8989, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 130.5426, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9402, kappa: 0.91, kb_relative_information_score: 106.1137, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9435, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.6104, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1159, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.8905, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.4417, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 125.1871, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9475, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4129, f_measure: 0.1837, kappa: -0.15, kb_relative_information_score: 0.1515, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1515, predictive_accuracy: 0.2333, prior_entropy: 1.585, recall: 0.2333, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9066, kappa: 0.86, kb_relative_information_score: 119.7792, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9071, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9204, kappa: 0.88, kb_relative_information_score: 125.7003, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9222, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.2587, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.2639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 134.0172, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9204, kappa: 0.88, kb_relative_information_score: 128.3359, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9211, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 128.5605, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.82, kappa: 0.73, kb_relative_information_score: 99.9183, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 1.585, recall: 0.82, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 128.6722, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8399, kappa: 0.76, kb_relative_information_score: 109.9689, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1.585, recall: 0.84, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 111.7223, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9552, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.0628, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9204, kappa: 0.88, kb_relative_information_score: 125.4852, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9222, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.3478, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, kappa: 0.5, kb_relative_information_score: 2.5238, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 122.3357, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9134, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9403, kappa: 0.91, kb_relative_information_score: 128.3115, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9414, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0998, kb_relative_information_score: 1.3534, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1137, kappa: -0.29, kb_relative_information_score: -0.3757, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.14, prior_entropy: 1.585, recall: 0.14, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.8031, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.0417, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.449, kappa: 0.21, kb_relative_information_score: 72.0303, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4319, predictive_accuracy: 0.4733, prior_entropy: 1.585, recall: 0.4733, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 128.2783, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9199, kappa: 0.88, kb_relative_information_score: 105.6818, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9322, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.248, root_relative_squared_error: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8727, kappa: 0.81, kb_relative_information_score: 89.0815, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8775, predictive_accuracy: 0.8733, prior_entropy: 1.585, recall: 0.8733, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9273, kappa: 0.89, kb_relative_information_score: 121.45, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9302, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9071, kappa: 0.86, kb_relative_information_score: 96.6044, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9218, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8667, kappa: 0.8, kb_relative_information_score: 93.862, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4049, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8782, kappa: 0.82, kb_relative_information_score: 88.9337, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.893, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0973, kb_relative_information_score: 1.0964, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.7557, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 123.1827, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9134, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.6384, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 106.079, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 120.702, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9269, kappa: 0.89, kb_relative_information_score: 128.5793, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8665, kappa: 0.8, kb_relative_information_score: 109.8989, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.868, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.0238, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0822, kb_relative_information_score: 0.7904, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.7004, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1585, kb_relative_information_score: 7.1113, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.8162, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.7029, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.9043, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.1555, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9402, kappa: 0.91, kb_relative_information_score: 128.743, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9407, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 0.7944, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0612, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.0353, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3869, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.2947, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, kb_relative_information_score: 2.5578, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0612, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9, kappa: 0.85, kb_relative_information_score: 120.3652, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.4322, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.1448, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, kappa: 0.48, kb_relative_information_score: 31.1819, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6533, prior_entropy: 1.585, recall: 0.6533, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3141, f_measure: 0.3571, kappa: 0.05, kb_relative_information_score: -0.6978, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3487, predictive_accuracy: 0.3667, prior_entropy: 1.585, recall: 0.3667, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 129.0355, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.934, kappa: 0.9, kb_relative_information_score: 123.6334, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 126.5244, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, kappa: 0.5, kb_relative_information_score: 59.1087, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.6221, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9403, kappa: 0.91, kb_relative_information_score: 128.5434, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9431, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 110.0533, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9488, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5121,

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

OpenML bootcamp

From your own software

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

OpenML APIs