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: 0.9757, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.6222, mean_absolute_error: 0.0665, 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: 0.1496, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.606, mean_absolute_error: 0.0674, 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: 0.1515, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 132.064, mean_absolute_error: 0.0645, 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: 0.145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.05, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.6852, mean_absolute_error: 0.0632, 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: 0.1422, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.08, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 133.1522, mean_absolute_error: 0.0612, 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: 0.1378, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.6458, mean_absolute_error: 0.0692, 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: 0.1556, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.4077, mean_absolute_error: 0.0634, 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: 0.1427, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 129.9547, mean_absolute_error: 0.0731, 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: 0.1644, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.4581, mean_absolute_error: 0.0638, 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: 0.1435, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3946, mean_absolute_error: 0.0639, 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: 0.1438, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.3628, mean_absolute_error: 0.0644, 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: 0.1449, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, 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, scimark_benchmark: 1519.6032, usercpu_time_millis: 1.855, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 0.219,
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: 0.9748, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.677, mean_absolute_error: 0.0659, 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: 0.1484, 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: 0.9774, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1974, mean_absolute_error: 0.0677, 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: 0.1524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.3064, mean_absolute_error: 0.0639, 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: 0.1437, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.7212, mean_absolute_error: 0.0596, 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: 0.1341, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.498, 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: 0.2, root_relative_squared_error: 0.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.136, mean_absolute_error: 0.0609, 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: 0.137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.7904, mean_absolute_error: 0.0655, 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: 0.1475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0374, mean_absolute_error: 0.0664, 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: 0.1494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.758, mean_absolute_error: 0.0664, 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: 0.1493, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4378, kb_relative_information_score: 0.9202, 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: 1.0001, 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: 0.9748, f_measure: 0.8647, kappa: 0.8, kb_relative_information_score: 104.2213, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8688, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8798, kappa: 0.82, kb_relative_information_score: 101.221, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8814, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9602, kappa: 0.94, kb_relative_information_score: 134.8562, mean_absolute_error: 0.0595, 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: 0.1339, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0999, kb_relative_information_score: 1.2327, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 127.4837, mean_absolute_error: 0.0853, 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: 0.192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8866, kappa: 0.83, kb_relative_information_score: 120.2401, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8875, predictive_accuracy: 0.8867, prior_entropy: 1.585, recall: 0.8867, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2062, kappa: -0.5, kb_relative_information_score: -0.5057, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8459, kappa: 0.78, kb_relative_information_score: 85.6008, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8981, predictive_accuracy: 0.8533, prior_entropy: 1.585, recall: 0.8533, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 112.7927, mean_absolute_error: 0.1421, 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: 0.3197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8654, kappa: 0.8, kb_relative_information_score: 95.8971, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8829, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2775, kappa: -0.5, kb_relative_information_score: -0.3125, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0023, 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: 0.9875, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.3502, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9282, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 132.4701, mean_absolute_error: 0.0713, 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: 0.1603, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1661, kb_relative_information_score: 1.0158, 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: 1.0014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
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: 0.5, 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: 0.9966, f_measure: 0.9601, kappa: 0.94, kb_relative_information_score: 133.6314, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.7277, kappa: 0.6, kb_relative_information_score: 77.6404, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7266, predictive_accuracy: 0.7333, prior_entropy: 1.585, recall: 0.7333, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.1491, mean_absolute_error: 0.0901, 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: 0.2028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, kb_relative_information_score: 3.2436, 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: 0.9998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 124.1916, mean_absolute_error: 0.0982, 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: 0.2209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 120.3711, mean_absolute_error: 0.1113, 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: 0.2505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.4138, mean_absolute_error: 0.054, 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: 0.1215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2626,
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: 0.5, 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: 0.9787, f_measure: 0.8796, kappa: 0.82, kb_relative_information_score: 117.8626, mean_absolute_error: 0.1204, 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: 0.2709, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.6981, kappa: 0.55, kb_relative_information_score: 62.0638, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6973, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 103.129, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9548, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.6399, mean_absolute_error: 0.0818, 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: 0.184, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 127.7145, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9488, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 130.0468, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3499,
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: 0.5, 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: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.9207, mean_absolute_error: 0.0624, 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: 0.1403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.5666, kappa: 0.51, kb_relative_information_score: 57.1398, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8257, predictive_accuracy: 0.6733, prior_entropy: 1.585, recall: 0.6733, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0941, kb_relative_information_score: -0.1377, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 118.3167, mean_absolute_error: 0.1236, 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: 0.2781, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 132.5451, mean_absolute_error: 0.0695, 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: 0.1564, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 122.8013, mean_absolute_error: 0.1078, 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: 0.2426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0909, kb_relative_information_score: 0.3375, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8465, kappa: 0.77, kb_relative_information_score: 112.109, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 1.585, recall: 0.8467, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8665, kappa: 0.8, kb_relative_information_score: 56.8607, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.868, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.6658, mean_absolute_error: 0.0821, 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: 0.1847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4647, kappa: 0.24, kb_relative_information_score: 1.1241, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4655, predictive_accuracy: 0.4933, prior_entropy: 1.585, recall: 0.4933, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9, kappa: 0.85, kb_relative_information_score: 120.8283, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.3316, mean_absolute_error: 0.0566, 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: 0.1274, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8999, kappa: 0.85, kb_relative_information_score: 118.9626, mean_absolute_error: 0.1158, 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: 0.2605, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 135.4055, mean_absolute_error: 0.0584, 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: 0.1313, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.2709,
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: 0.8903, kb_relative_information_score: 2.6762, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.025, 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: 0.4721, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9532, kappa: 0.93, kb_relative_information_score: 104.8875, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9562, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.1487, mean_absolute_error: 0.0865, 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: 0.1946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3858,
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: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.2631, mean_absolute_error: 0.0517, 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: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7379, kappa: 0.61, kb_relative_information_score: 79.1925, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 1.585, recall: 0.74, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7126,
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: 0.9965, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.6861, mean_absolute_error: 0.0555, 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: 0.1249, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.134, root_relative_squared_error: 0.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.1906, mean_absolute_error: 0.0576, 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: 0.1295, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2858,
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: 0.9796, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 125.2098, mean_absolute_error: 0.0942, 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: 0.2119, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1287, kb_relative_information_score: 1.823, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.8469, mean_absolute_error: 0.0527, 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: 0.1186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 135.0386, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.954, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 135.8089, mean_absolute_error: 0.0567, 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: 0.1277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.7435, mean_absolute_error: 0.0597, 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: 0.1343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4049, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.3677, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9282, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0935, kappa: -0.12, kb_relative_information_score: -0.6806, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.2533, prior_entropy: 1.585, recall: 0.2533, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.86, kappa: 0.79, kb_relative_information_score: 99.9107, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.8727, mean_absolute_error: 0.0563, 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: 0.1267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.373, mean_absolute_error: 0.057, 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: 0.1283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.277,

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