Task
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.7004, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1585, kb_relative_information_score: 7.1113, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.8162, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.7029, mean_absolute_error: 0.0779, 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: 0.1752, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.9043, mean_absolute_error: 0.0776, 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: 0.1746, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.1555, mean_absolute_error: 0.0547, 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: 0.123, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9402, kappa: 0.91, kb_relative_information_score: 128.743, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9407, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 0.7944, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0612, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9986, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.0353, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.2947, mean_absolute_error: 0.0579, 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: 0.1303, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, kb_relative_information_score: 2.5578, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0612, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9, kappa: 0.85, kb_relative_information_score: 120.3652, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4482,
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: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.4322, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.1448, mean_absolute_error: 0.0546, 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: 0.1228, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, kappa: 0.48, kb_relative_information_score: 31.1819, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6533, prior_entropy: 1.585, recall: 0.6533, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3141, f_measure: 0.3571, kappa: 0.05, kb_relative_information_score: -0.6978, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3487, predictive_accuracy: 0.3667, prior_entropy: 1.585, recall: 0.3667, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 129.0355, mean_absolute_error: 0.0815, 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: 0.1833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.934, kappa: 0.9, kb_relative_information_score: 123.6334, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 126.5244, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, kappa: 0.5, kb_relative_information_score: 59.1087, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.6221, mean_absolute_error: 0.072, 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: 0.1619, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9403, kappa: 0.91, kb_relative_information_score: 128.5434, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9431, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 110.0533, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9488, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.3125, mean_absolute_error: 0.0569, 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: 0.1281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2833,
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: 0.9712, f_measure: 0.8662, kappa: 0.8, kb_relative_information_score: 94.9258, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8696, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6217,
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: 0.9666, kappa: 0.95, kb_relative_information_score: 135.9028, mean_absolute_error: 0.0556, 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: 0.125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.2719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8056, kappa: 0.72, kb_relative_information_score: 85.2928, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8413, predictive_accuracy: 0.8133, prior_entropy: 1.585, recall: 0.8133, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.4874, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9282, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.0737, mean_absolute_error: 0.0772, 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: 0.1737, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.164, root_relative_squared_error: 0.348,
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: 0.9989, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.3765, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1222, 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: 0.9967, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 129.7638, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9547, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2164, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 108.9722, mean_absolute_error: 0.152, 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: 0.3419, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.52, kappa: 0.32, kb_relative_information_score: 40.0021, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.559, predictive_accuracy: 0.5467, prior_entropy: 1.585, recall: 0.5467, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9066, kappa: 0.86, kb_relative_information_score: 121.4798, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9071, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9403, kappa: 0.91, kb_relative_information_score: 127.8358, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9431, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.4349, mean_absolute_error: 0.0546, 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: 0.1229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.717, kappa: 0.57, kb_relative_information_score: 71.3413, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7223, predictive_accuracy: 0.7133, prior_entropy: 1.585, recall: 0.7133, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 135.8528, mean_absolute_error: 0.056, 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: 0.126, 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: 0.1553, kb_relative_information_score: 0.929, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3843, kb_relative_information_score: 1.3896, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.5556, kappa: 0.44, kb_relative_information_score: 80.3155, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5556, predictive_accuracy: 0.6267, prior_entropy: 1.585, recall: 0.6267, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.5226, kappa: 0.34, kb_relative_information_score: 58.1162, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5113, predictive_accuracy: 0.56, prior_entropy: 1.585, recall: 0.56, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1363, kb_relative_information_score: 1.3461, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.2785, 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: 0.1329, root_relative_squared_error: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, kappa: 0.33, kb_relative_information_score: 8.0163, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.5533, prior_entropy: 1.585, recall: 0.5533, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.8493, mean_absolute_error: 0.0529, 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: 0.119, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 125.2889, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2095, 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: 0.5, kb_relative_information_score: 1.3887, 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: 0.4928, f_measure: 0.2326, kappa: 0.01, kb_relative_information_score: 0.7824, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1971, predictive_accuracy: 0.34, prior_entropy: 1.585, recall: 0.34, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.6137, kappa: 0.55, kb_relative_information_score: 43.8228, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8151, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 130.7296, mean_absolute_error: 0.0717, 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: 0.1613, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.7739, mean_absolute_error: 0.0565, 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: 0.1271, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.2689,
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: 0.9964, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.0738, mean_absolute_error: 0.0665, 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: 0.1495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.9431, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6158, kappa: 0.42, kb_relative_information_score: 29.513, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6315, predictive_accuracy: 0.6133, prior_entropy: 1.585, recall: 0.6133, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 116.7148, mean_absolute_error: 0.1285, 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: 0.2892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 130.6928, mean_absolute_error: 0.0748, 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: 0.1683, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.7784, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9204, kappa: 0.88, kb_relative_information_score: 7.2483, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.926, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.7517, mean_absolute_error: 0.0639, 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: 0.1438, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, kb_relative_information_score: -0.0151, 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: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, kappa: 0.13, kb_relative_information_score: 0.1463, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.42, prior_entropy: 1.585, recall: 0.42, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.4983, mean_absolute_error: 0.0526, 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: 0.1184, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.2742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.088, kappa: -0.5, kb_relative_information_score: -1.1961, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3887, 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: 0.9619, f_measure: 0.8467, kappa: 0.77, kb_relative_information_score: 111.1655, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8467, predictive_accuracy: 0.8467, prior_entropy: 1.585, recall: 0.8467, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9, kappa: 0.85, kb_relative_information_score: 121.1132, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.5128, mean_absolute_error: 0.0546, 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: 0.1229, 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: 0.9885, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 122.8783, mean_absolute_error: 0.1042, 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: 0.2345, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, kappa: 0.5, kb_relative_information_score: 35.4011, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.5978, kappa: 0.53, kb_relative_information_score: 10.642, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8385, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.86, kappa: 0.79, kb_relative_information_score: 114.8727, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.7521, 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: 0.4727, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1075, kappa: -0.49, kb_relative_information_score: -0.9331, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.0067, prior_entropy: 1.585, recall: 0.0067, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 130.0702, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1663, 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: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.268, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 125.609, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9491, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9204, kappa: 0.88, kb_relative_information_score: 125.173, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9222, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9952, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.8417, mean_absolute_error: 0.0633, 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: 0.1425, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3064,
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: 1.4049, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9207, kappa: 0.88, kb_relative_information_score: 125.3556, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9247, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.1843, mean_absolute_error: 0.0575, 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: 0.1294, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.86, kappa: 0.79, kb_relative_information_score: 117.4558, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 124.8738, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.9783, mean_absolute_error: 0.0664, 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: 0.1494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8997, kappa: 0.85, kb_relative_information_score: 119.9462, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9024, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4507,

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