OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4583 runs submitted
0 likes downloaded by 23 people , 48 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
Issue #Downvotes for this reason By


Metric:

4583 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.3957, mean_absolute_error: 0.0679, 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: 0.1527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.3458, mean_absolute_error: 0.0651, 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: 0.1464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.6866, mean_absolute_error: 0.071, 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: 0.1598, 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: 0.9773, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.422, mean_absolute_error: 0.0645, 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: 0.1451, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.2304, mean_absolute_error: 0.0644, 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: 0.1449, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.6083, mean_absolute_error: 0.0645, 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: 0.1451, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.1013, 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: 0.1459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.8941, mean_absolute_error: 0.0674, 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: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.62, mean_absolute_error: 0.0711, 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: 0.1599, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4147,
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: 0.9786, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.678, mean_absolute_error: 0.0672, 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: 0.1511, 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: 0.9794, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.6817, mean_absolute_error: 0.0653, 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: 0.1469, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 128.8349, mean_absolute_error: 0.0759, 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: 0.1707, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.7049, mean_absolute_error: 0.067, 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: 0.1507, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.402,
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: 0.9726, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.3751, mean_absolute_error: 0.0681, 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: 0.1531, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.266, mean_absolute_error: 0.0716, 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: 0.1611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.1725, mean_absolute_error: 0.0605, 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: 0.1361, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.5779, 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: 0.1944, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.9792, mean_absolute_error: 0.0652, 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: 0.1468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.1946, mean_absolute_error: 0.0678, 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: 0.1526, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1531, mean_absolute_error: 0.0691, 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: 0.1555, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.6283, mean_absolute_error: 0.0673, 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: 0.1514, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 130.4847, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 131.7672, mean_absolute_error: 0.0651, 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: 0.1466, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.9066, mean_absolute_error: 0.0661, 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: 0.1488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 133.1601, mean_absolute_error: 0.0605, 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: 0.1361, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 134.4726, mean_absolute_error: 0.0566, 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: 0.1274, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.6157, mean_absolute_error: 0.0634, 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: 0.1426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4007,
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: 0.9785, 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: 0.9741, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.433, 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: 0.1426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4001,
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: 0.9749, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.002, mean_absolute_error: 0.0626, 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: 0.1409, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.888, mean_absolute_error: 0.0666, 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: 0.1499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.956, mean_absolute_error: 0.0661, 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: 0.1488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.4296, mean_absolute_error: 0.068, 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: 0.1529, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.7181, mean_absolute_error: 0.0594, 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: 0.1336, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3937,
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: 0.9764, 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: 0.9759, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6047, mean_absolute_error: 0.0627, 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: 0.1411, 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: 0.9781, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.7948, mean_absolute_error: 0.0662, 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: 0.149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.6136, mean_absolute_error: 0.0625, 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: 0.1407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.6127, mean_absolute_error: 0.0713, 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: 0.1605, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.2021, 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: 0.1929, root_relative_squared_error: 0.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 130.8919, mean_absolute_error: 0.0693, 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: 0.156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4111,
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: 0.9726, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0742, mean_absolute_error: 0.0609, 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: 0.137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 133.6833, mean_absolute_error: 0.059, 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: 0.1327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0649, mean_absolute_error: 0.0613, 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: 0.1379, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 131.5094, mean_absolute_error: 0.0662, 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: 0.149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.6682, mean_absolute_error: 0.063, 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: 0.1416, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4056,
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: 0.9781, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.9743, mean_absolute_error: 0.0616, 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: 0.1386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.158, mean_absolute_error: 0.0615, 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: 0.1385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 134.1192, mean_absolute_error: 0.0583, 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: 0.1311, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3845,
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: 0.9733, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.1489, mean_absolute_error: 0.0643, 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: 0.1446, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 131.6072, mean_absolute_error: 0.0667, 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: 0.15, 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: 0.9748, 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: 0.9776, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.7154, mean_absolute_error: 0.0625, 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: 0.1405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.9936, mean_absolute_error: 0.0616, 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: 0.1385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3999,
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: 0.9733, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 131.293, mean_absolute_error: 0.0675, 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: 0.1519, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4136,
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: 0.9747, 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: 0.9794, 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: 0.9743, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 129.9432, mean_absolute_error: 0.0722, 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: 0.1624, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 129.7775, mean_absolute_error: 0.0726, 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: 0.1633, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.8156, mean_absolute_error: 0.0622, 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: 0.1401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.7695, mean_absolute_error: 0.0669, 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: 0.1505, 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: 0.9747, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.4857, mean_absolute_error: 0.0639, 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: 0.1437, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.05, mean_absolute_error: 0.0712, 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: 0.1603, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1178, mean_absolute_error: 0.0649, 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: 0.1459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4005,
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: 0.9771, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 130.6308, mean_absolute_error: 0.071, 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: 0.1597, 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: 0.9818, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.7136, mean_absolute_error: 0.0668, 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: 0.1503, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6534, mean_absolute_error: 0.0632, 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: 0.1423, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.8247, mean_absolute_error: 0.059, 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: 0.1327, 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: 0.9737, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.5047, mean_absolute_error: 0.0694, 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: 0.1561, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.3701, mean_absolute_error: 0.0604, 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: 0.1359, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.1488, mean_absolute_error: 0.068, 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: 0.153, 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: 0.9758, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.8159, mean_absolute_error: 0.0663, 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: 0.1492, 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: 0.9764, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.4859, mean_absolute_error: 0.063, 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: 0.1418, 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: 0.9739, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.4002, mean_absolute_error: 0.0606, 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: 0.1363, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.4757, mean_absolute_error: 0.0637, 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: 0.1434, 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: 0.9774, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6508, mean_absolute_error: 0.063, 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: 0.1418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.7146, mean_absolute_error: 0.0632, 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: 0.1422, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.2548, mean_absolute_error: 0.0714, 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: 0.1606, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4105,
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: 0.9765, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.888, mean_absolute_error: 0.0625, 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: 0.1407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3943,
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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs