OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4580 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1663, kappa: -0.5, kb_relative_information_score: -0.7294, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, kappa: 0.22, kb_relative_information_score: 2.6247, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.48, prior_entropy: 1.585, recall: 0.48, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.9057, mean_absolute_error: 0.0602, 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: 0.1355, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 137.0326, mean_absolute_error: 0.0513, 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: 0.1155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6833, mean_absolute_error: 0.0533, 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: 0.1199, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9602, kappa: 0.94, kb_relative_information_score: 134.9204, mean_absolute_error: 0.0591, 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: 0.1329, 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: 0.3047, kappa: -0.5, kb_relative_information_score: -0.3519, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9465, kappa: 0.92, kb_relative_information_score: 129.5202, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9472, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.4091, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 127.1725, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.7807, f_measure: 0.619, kappa: 0.43, kb_relative_information_score: 6.0354, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6506, predictive_accuracy: 0.62, prior_entropy: 1.585, recall: 0.62, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.1811, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.3135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6506, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.9646, mean_absolute_error: 0.056, 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: 0.126, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 86.9781, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, kappa: 0.5, kb_relative_information_score: 13.8764, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.5502, mean_absolute_error: 0.0581, 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: 0.1307, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.9799, mean_absolute_error: 0.0527, 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: 0.1186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.5635, kappa: 0.51, kb_relative_information_score: 23.5829, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8174, predictive_accuracy: 0.6733, prior_entropy: 1.585, recall: 0.6733, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9089,
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: 0.9915, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 126.0979, mean_absolute_error: 0.0921, 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: 0.2071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.1035, mean_absolute_error: 0.0594, 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: 0.1337, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.514, kappa: 0.28, kb_relative_information_score: 3.2359, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6439, predictive_accuracy: 0.52, prior_entropy: 1.585, recall: 0.52, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3781, 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: 0.9872, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 101.0477, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9134, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 127.2468, mean_absolute_error: 0.0875, 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: 0.1968, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, kb_relative_information_score: 1.5788, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 137.5564, mean_absolute_error: 0.0499, 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: 0.1122, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7889, kappa: 0.71, kb_relative_information_score: 10.1667, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8776, predictive_accuracy: 0.8067, prior_entropy: 1.585, recall: 0.8067, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.7278, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7046, kappa: 0.56, kb_relative_information_score: 74.3785, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7047, predictive_accuracy: 0.7067, prior_entropy: 1.585, recall: 0.7067, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6175, kappa: 0.55, kb_relative_information_score: 13.8822, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8251, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 127.8177, mean_absolute_error: 0.0886, 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: 0.1994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -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: 0.831, kappa: 0.5, kb_relative_information_score: 21.6595, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.7498, mean_absolute_error: 0.0495, 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: 0.1113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 123.7242, mean_absolute_error: 0.1024, 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: 0.2304, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.947, mean_absolute_error: 0.0677, 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: 0.1523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 126.6291, mean_absolute_error: 0.0899, 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: 0.2023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.5872, mean_absolute_error: 0.0543, 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: 0.1221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 124.4838, mean_absolute_error: 0.0982, 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: 0.221, 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: 0.8091, f_measure: 0.6652, kappa: 0.54, kb_relative_information_score: 57.7833, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6861, predictive_accuracy: 0.6933, prior_entropy: 1.585, recall: 0.6933, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.1165, mean_absolute_error: 0.0557, 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: 0.1254, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.495, mean_absolute_error: 0.0661, 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: 0.1487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.5334, mean_absolute_error: 0.0623, 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: 0.1401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 106.8135, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9287, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3781, 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: 0.7741, kappa: 0.35, kb_relative_information_score: 28.4875, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.5667, prior_entropy: 1.585, recall: 0.5667, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.1065, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 132.7747, mean_absolute_error: 0.0692, 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: 0.1558, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 130.9155, mean_absolute_error: 0.0719, 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: 0.1617, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 135.082, mean_absolute_error: 0.0599, 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: 0.1348, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1278, kb_relative_information_score: 0.1158, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 130.0502, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7533, kappa: 0.63, kb_relative_information_score: 87.0154, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7534, predictive_accuracy: 0.7533, prior_entropy: 1.585, recall: 0.7533, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.1834, mean_absolute_error: 0.052, 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: 0.117, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 128.924, mean_absolute_error: 0.0795, 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: 0.179, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7618, kappa: 0.66, kb_relative_information_score: 84.443, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7989, predictive_accuracy: 0.7733, prior_entropy: 1.585, recall: 0.7733, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.8468, mean_absolute_error: 0.0531, 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: 0.1195, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 128.8972, mean_absolute_error: 0.0801, 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: 0.1801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 126.9663, mean_absolute_error: 0.0882, 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: 0.1986, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.401, mean_absolute_error: 0.0738, 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: 0.1661, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 126.2628, mean_absolute_error: 0.0924, 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: 0.2079, 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: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.9614, mean_absolute_error: 0.0519, 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: 0.1167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8548, kappa: 0.79, kb_relative_information_score: 85.8974, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8926, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.6443, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1223, 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: 0.9972, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.1438, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.1212, mean_absolute_error: 0.0549, 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: 0.1236, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8127, kappa: 0.72, kb_relative_information_score: 9.8544, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8155, predictive_accuracy: 0.8133, prior_entropy: 1.585, recall: 0.8133, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1554, kb_relative_information_score: 1.6375, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 128.1548, mean_absolute_error: 0.0815, 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: 0.1833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.6234, kappa: 0.53, kb_relative_information_score: 28.8579, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7277, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 127.7458, mean_absolute_error: 0.087, 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: 0.1957, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 127.5469, mean_absolute_error: 0.0857, 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: 0.1929, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.9152, mean_absolute_error: 0.0563, 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: 0.1266, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.5906, kappa: 0.42, kb_relative_information_score: 49.4082, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5851, predictive_accuracy: 0.6133, prior_entropy: 1.585, recall: 0.6133, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.6512, mean_absolute_error: 0.0606, 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: 0.1363, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6518, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 130.0128, mean_absolute_error: 0.0785, 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: 0.1767, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.6926, mean_absolute_error: 0.0611, 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: 0.1376, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.3191, mean_absolute_error: 0.0539, 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: 0.1214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.2729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.5899, kappa: 0.53, kb_relative_information_score: 48.1408, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8175, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 88.0499, mean_absolute_error: 0.2224, 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: 0.5004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6718,
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: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.5267, mean_absolute_error: 0.0537, 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: 0.1209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.3546, mean_absolute_error: 0.0618, 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: 0.139, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6883, mean_absolute_error: 0.053, 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: 0.1192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.0008, mean_absolute_error: 0.0526, 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: 0.1183, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.2527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 127.4361, mean_absolute_error: 0.0887, 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: 0.1995, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.5349, kappa: 0.45, kb_relative_information_score: 55.2397, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4775, predictive_accuracy: 0.6333, prior_entropy: 1.585, recall: 0.6333, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3943, 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: 0.8533, f_measure: 0.616, kappa: 0.42, kb_relative_information_score: 51.3111, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6266, predictive_accuracy: 0.6133, prior_entropy: 1.585, recall: 0.6133, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.9785, mean_absolute_error: 0.0571, 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: 0.1285, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 128.6324, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 128.9911, mean_absolute_error: 0.0809, 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: 0.1819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 129.2549, mean_absolute_error: 0.0783, 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: 0.1763, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1671, kb_relative_information_score: 0.7909, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,

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