OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4443 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.2979, mean_absolute_error: 0.0514, 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: 0.1157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1069, kb_relative_information_score: -0.0121, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, 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: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.5307, mean_absolute_error: 0.0649, 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: 0.146, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.4194, mean_absolute_error: 0.0565, 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: 0.1271, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 122.5734, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, kappa: 0.5, kb_relative_information_score: 1.9302, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1405, kb_relative_information_score: 2.5885, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8995, 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: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.3811, 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: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8796, kappa: 0.82, kb_relative_information_score: 117.8025, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8831, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, kappa: 0.11, kb_relative_information_score: 0.2281, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.4067, prior_entropy: 1.585, recall: 0.4067, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 125.1138, mean_absolute_error: 0.0949, 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: 0.2136, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 128.0884, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9355, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 124.8335, mean_absolute_error: 0.095, 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: 0.2138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.5736, mean_absolute_error: 0.0822, 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: 0.1851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.5978, kappa: 0.53, kb_relative_information_score: 13.7979, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8385, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1459, kb_relative_information_score: 1.0236, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0003, 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: 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: 0.5921, f_measure: 0.172, kappa: -0.03, kb_relative_information_score: 0.5622, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4406, predictive_accuracy: 0.3133, prior_entropy: 1.585, recall: 0.3133, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 109.4978, mean_absolute_error: 0.1548, 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: 0.3483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.7756, mean_absolute_error: 0.0677, 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: 0.1524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 126.6978, mean_absolute_error: 0.0886, 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: 0.1994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8999, kappa: 0.85, kb_relative_information_score: 120.2236, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8333, kappa: 0.76, kb_relative_information_score: 87.4217, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8745, predictive_accuracy: 0.84, prior_entropy: 1.585, recall: 0.84, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.5885, kappa: 0.41, kb_relative_information_score: 55.3584, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5938, predictive_accuracy: 0.6067, prior_entropy: 1.585, recall: 0.6067, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.5557, mean_absolute_error: 0.0558, 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: 0.1256, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2822,
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: 0.0972, kb_relative_information_score: 0.7652, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.5454, mean_absolute_error: 0.0503, 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: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8733, kappa: 0.81, kb_relative_information_score: 87.5007, mean_absolute_error: 0.224, 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: 0.5039, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 127.3033, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9355, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1921, 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: 0.5, 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: 0.8892, f_measure: 0.7438, kappa: 0.62, kb_relative_information_score: 85.4817, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7428, predictive_accuracy: 0.7467, prior_entropy: 1.585, recall: 0.7467, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 121.2056, mean_absolute_error: 0.1083, 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: 0.2436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8666, kappa: 0.8, kb_relative_information_score: 116.2652, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1213, kb_relative_information_score: 0.8078, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.3481, kappa: 0.16, kb_relative_information_score: 2.5434, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.791, predictive_accuracy: 0.44, prior_entropy: 1.585, recall: 0.44, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.2757, mean_absolute_error: 0.058, 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: 0.1305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.131, root_relative_squared_error: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.5601, mean_absolute_error: 0.0563, 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: 0.1267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8558, kappa: 0.79, kb_relative_information_score: 88.1947, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8853, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.0001, 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: 0.1174, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0801, kb_relative_information_score: 0.6137, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8194, kappa: 0.74, kb_relative_information_score: 81.6452, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8587, predictive_accuracy: 0.8267, prior_entropy: 1.585, recall: 0.8267, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.5807, kappa: 0.52, kb_relative_information_score: 15.0055, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8275, predictive_accuracy: 0.68, prior_entropy: 1.585, recall: 0.68, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.7576, mean_absolute_error: 0.0523, 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: 0.1176, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.124, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8992, kappa: 0.85, kb_relative_information_score: 84.442, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.6821, 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: 0.997, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 129.8433, mean_absolute_error: 0.0791, 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: 0.178, 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: 0.9967, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.1307, mean_absolute_error: 0.0619, 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: 0.1393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.2946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.5621, mean_absolute_error: 0.0833, 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: 0.1873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 127.5892, mean_absolute_error: 0.0865, 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: 0.1947, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.3022, mean_absolute_error: 0.0569, 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: 0.1281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.132, root_relative_squared_error: 0.2799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.9629, mean_absolute_error: 0.086, 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: 0.1935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935,
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: 0.1191, kb_relative_information_score: 0.7262, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 125.7971, mean_absolute_error: 0.0911, 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: 0.205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.7185, mean_absolute_error: 0.0562, 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: 0.1264, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.5297, kappa: 0.33, kb_relative_information_score: 47.1114, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5683, predictive_accuracy: 0.5533, prior_entropy: 1.585, recall: 0.5533, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.3319, mean_absolute_error: 0.062, 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: 0.1396, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.8503, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 119.2311, mean_absolute_error: 0.116, 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: 0.2609, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4219, kb_relative_information_score: 0.8256, 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, 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: 0.8995, 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: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6775, kappa: 0.53, kb_relative_information_score: 53.2853, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6889, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4382, f_measure: 0.2413, kappa: -0.1, kb_relative_information_score: 0.343, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.2284, predictive_accuracy: 0.2667, prior_entropy: 1.585, recall: 0.2667, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
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: 0.8862, f_measure: 0.7567, kappa: 0.64, kb_relative_information_score: 83.7376, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7571, predictive_accuracy: 0.76, prior_entropy: 1.585, recall: 0.76, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1051, kappa: -0.03, kb_relative_information_score: -0.4217, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3133, prior_entropy: 1.585, recall: 0.3133, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 133.8397, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.564, mean_absolute_error: 0.0968, 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: 0.2178, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.5104, mean_absolute_error: 0.0538, 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: 0.1211, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.3584, mean_absolute_error: 0.0799, 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: 0.1798, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9668, kappa: 0.95, kb_relative_information_score: 136.2108, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 125.8249, mean_absolute_error: 0.0959, 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: 0.2158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0999, kb_relative_information_score: 1.5583, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.88, kappa: 0.82, kb_relative_information_score: 114.9696, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8803, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.1689, mean_absolute_error: 0.0544, 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: 0.1225, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.266,
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: 0.2339, kappa: -0.5, kb_relative_information_score: -0.2861, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.2246, mean_absolute_error: 0.0626, 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: 0.1408, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.2872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9207, kappa: 0.88, kb_relative_information_score: 124.3801, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9247, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4094,
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: 0.9954, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.1118, mean_absolute_error: 0.0697, 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: 0.1569, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.4851, kappa: 0.24, kb_relative_information_score: 31.3854, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.522, predictive_accuracy: 0.4933, prior_entropy: 1.585, recall: 0.4933, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9403, kappa: 0.91, kb_relative_information_score: 125.8073, mean_absolute_error: 0.0926, 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: 0.2084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9067, kappa: 0.86, kb_relative_information_score: 120.3994, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.2648, mean_absolute_error: 0.0835, 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: 0.1879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1743, kb_relative_information_score: 1.8972, 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: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.7054, mean_absolute_error: 0.053, 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: 0.1194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.2073, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2654,
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: 0.9981, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.9456, mean_absolute_error: 0.0519, 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: 0.1168, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8867, kappa: 0.83, kb_relative_information_score: 118.6021, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8868, predictive_accuracy: 0.8867, prior_entropy: 1.585, recall: 0.8867, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9274, kappa: 0.89, kb_relative_information_score: 121.5886, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9326, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2295, 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: 0.8848, f_measure: 0.7443, kappa: 0.62, kb_relative_information_score: 85.1394, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7456, predictive_accuracy: 0.7467, prior_entropy: 1.585, recall: 0.7467, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.6123, kappa: 0.5, kb_relative_information_score: 4.7455, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8333, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.8733, kappa: 0.81, kb_relative_information_score: 88.066, mean_absolute_error: 0.2225, 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: 0.5006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.619, kappa: 0.52, kb_relative_information_score: 67.7005, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7037, predictive_accuracy: 0.68, prior_entropy: 1.585, recall: 0.68, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, kappa: 0.49, kb_relative_information_score: 27.3757, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.66, prior_entropy: 1.585, recall: 0.66, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8913,

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