OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4584 runs submitted
0 likes downloaded by 24 people , 49 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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4584 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 127.8914, mean_absolute_error: 0.0828, 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: 0.1862, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 129.2295, mean_absolute_error: 0.0823, 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: 0.1852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7533, kappa: 0.63, kb_relative_information_score: 87.0154, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7534, predictive_accuracy: 0.7533, prior_entropy: 1.585, recall: 0.7533, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7024,
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: 0.1263, kb_relative_information_score: 0.4581, 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: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6518, mean_absolute_error: 0.0536, 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: 0.1205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.8356, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5251, mean_absolute_error: 0.0636, 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: 0.1432, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1563, kb_relative_information_score: 0.8966, 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: 0.4721, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0473, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.7899, mean_absolute_error: 0.0665, 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: 0.1497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, kappa: 0.5, kb_relative_information_score: 13.8764, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.9596, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.9889, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.5454, mean_absolute_error: 0.0564, 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: 0.1268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9947, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 128.0151, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3609,
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: 0.5, 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: 0.9883, 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: 0.9929, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.1442, mean_absolute_error: 0.0769, 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: 0.1731, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.6909, kappa: 0.55, kb_relative_information_score: 57.7694, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6889, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.6885, mean_absolute_error: 0.0561, 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: 0.1263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.6175, kappa: 0.55, kb_relative_information_score: 44.753, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8251, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1667, kappa: -0.5, kb_relative_information_score: -0.9757, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.5291, mean_absolute_error: 0.0688, 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: 0.1548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.0676, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4108,
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: 0.9893, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 123.2257, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9329, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.1262, mean_absolute_error: 0.0763, 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: 0.1718, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.4305, mean_absolute_error: 0.0609, 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: 0.1371, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3882,
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: 0.5, 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: 0.9883, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 124.1728, mean_absolute_error: 0.0987, 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: 0.2221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.0623, mean_absolute_error: 0.0347, 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: 0.078, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6175, kappa: 0.55, kb_relative_information_score: 13.8822, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8251, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.2775, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.0416, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.8958, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.4692, mean_absolute_error: 0.0577, 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: 0.1298, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2767,
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: 0.9972, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.1438, mean_absolute_error: 0.0592, 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: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.6824, kappa: 0.55, kb_relative_information_score: 73.4458, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.5809, mean_absolute_error: 0.0755, 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: 0.1698, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 127.291, mean_absolute_error: 0.0842, 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: 0.1895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 86.9781, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.1957, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.3692, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.5338, kappa: 0.32, kb_relative_information_score: 40.4249, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5348, predictive_accuracy: 0.5467, prior_entropy: 1.585, recall: 0.5467, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.42, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.2327, mean_absolute_error: 0.0616, 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: 0.1387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.5064, mean_absolute_error: 0.0502, 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: 0.1129, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.1811, mean_absolute_error: 0.075, 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: 0.1687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.3135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9973, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 135.9458, mean_absolute_error: 0.0548, 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: 0.1234, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2761,
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: 0.9877, 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: 0.9788, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.9985, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 134.33, mean_absolute_error: 0.0637, 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: 0.1432, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.9367, mean_absolute_error: 0.0615, 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: 0.1383, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.3863, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2164, 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: 0.4732, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.79, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.5916, mean_absolute_error: 0.0535, 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: 0.1203, 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: 0.978, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 130.8931, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1125, mean_absolute_error: 0.0649, 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: 0.1461, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 65.4995, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.268, mean_absolute_error: 0.0516, 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: 0.1161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, kappa: 0.5, kb_relative_information_score: 86.907, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0945, mean_absolute_error: 0.065, 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: 0.1463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.0832, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.9431, mean_absolute_error: 0.0527, 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: 0.1186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.616, kappa: 0.42, kb_relative_information_score: 51.3111, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6266, predictive_accuracy: 0.6133, prior_entropy: 1.585, recall: 0.6133, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 132.4564, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.3596, mean_absolute_error: 0.0551, 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: 0.1239, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 126.9662, mean_absolute_error: 0.0887, 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: 0.1996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.6215, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.5165, mean_absolute_error: 0.0622, 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: 0.1399, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.8787, mean_absolute_error: 0.0627, 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: 0.1411, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3987,
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: 0.9945, f_measure: 0.9188, kappa: 0.88, kb_relative_information_score: 126.9563, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9197, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9414, f_measure: 0.8265, kappa: 0.74, kb_relative_information_score: 100.0278, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8267, predictive_accuracy: 0.8267, prior_entropy: 1.585, recall: 0.8267, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 126.6247, mean_absolute_error: 0.0896, 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: 0.2016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.8393, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 125.096, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.7551, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8997, kappa: 0.85, kb_relative_information_score: 119.9462, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9024, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1695, kb_relative_information_score: 0.4061, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 133.3652, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.7817, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.189, root_relative_squared_error: 0.401,
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: 0.9757, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 130.9327, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4115,
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: 0.9959, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.0155, mean_absolute_error: 0.0781, 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: 0.1756, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9602, kappa: 0.94, kb_relative_information_score: 135.1405, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9608, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2904,
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: 0.9982, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.5896, mean_absolute_error: 0.0535, 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: 0.1204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, kb_relative_information_score: 1.0888, 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: 0.9975, 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: 0.9745, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.4138, mean_absolute_error: 0.0641, 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: 0.1441, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3996,

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