OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4555 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4555 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.5972, kappa: 0.42, kb_relative_information_score: 62.1696, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6032, predictive_accuracy: 0.6133, prior_entropy: 1.585, recall: 0.6133, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 107.9402, mean_absolute_error: 0.1579, 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: 0.3552, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 126.8156, mean_absolute_error: 0.0883, 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: 0.1826, root_relative_squared_error: 0.3873,
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: 0.2359, kappa: -0.49, kb_relative_information_score: 0.6992, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.0067, prior_entropy: 1.585, recall: 0.0067, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0036,
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: 0.9941, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.6848, mean_absolute_error: 0.0626, 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: 0.1408, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 132.7239, mean_absolute_error: 0.0685, 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: 0.1541, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.289, mean_absolute_error: 0.0517, 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: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2596, kappa: -0.5, kb_relative_information_score: -0.3216, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0024, 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: 0.9877, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 125.2881, mean_absolute_error: 0.0991, 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: 0.2229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 126.676, mean_absolute_error: 0.0881, 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: 0.1983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 124.6859, mean_absolute_error: 0.0965, 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: 0.2172, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0871, kb_relative_information_score: 1.4169, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.0125, 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: 0.1171, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8956, kappa: 0.84, kb_relative_information_score: 2.5987, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9096, predictive_accuracy: 0.8933, prior_entropy: 1.585, recall: 0.8933, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 1.3943, 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: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.7769, mean_absolute_error: 0.056, 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: 0.126, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8792, kappa: 0.82, kb_relative_information_score: 112.8731, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8856, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1319, f_measure: 0.1667, kb_relative_information_score: 1.9516, mean_absolute_error: 0.445, 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: 1.0014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.1463, mean_absolute_error: 0.0661, 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: 0.1487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9397, kappa: 0.91, kb_relative_information_score: 107.0788, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9455, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.3222, mean_absolute_error: 0.0542, 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: 0.1219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 1.0885, 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: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9402, kappa: 0.91, kb_relative_information_score: 129.3179, mean_absolute_error: 0.078, 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: 0.1754, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 134.6937, mean_absolute_error: 0.0593, 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: 0.1335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2836,
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: 0.8088, 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: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.0483, mean_absolute_error: 0.0524, 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: 0.1179, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.2273, mean_absolute_error: 0.0711, 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: 0.16, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 123.2825, mean_absolute_error: 0.1024, 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: 0.2305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.5728, mean_absolute_error: 0.0557, 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: 0.1254, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4047, kb_relative_information_score: 1.4151, 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: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1394, kb_relative_information_score: 2.0694, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.1667, kb_relative_information_score: 1.0688, mean_absolute_error: 0.4442, 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: 0.9994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.2579, mean_absolute_error: 0.0513, 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: 0.1154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8933, kappa: 0.84, kb_relative_information_score: 110.7726, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8937, predictive_accuracy: 0.8933, prior_entropy: 1.585, recall: 0.8933, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.2925, mean_absolute_error: 0.0642, 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: 0.1444, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.2979, mean_absolute_error: 0.0514, 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: 0.1157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1069, f_measure: 0.1667, kb_relative_information_score: -0.0121, mean_absolute_error: 0.4467, 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: 1.0051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, 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: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.5307, mean_absolute_error: 0.0649, 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: 0.146, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.4194, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 122.5734, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.5422, kappa: 0.5, kb_relative_information_score: 1.9302, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4656, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1405, kb_relative_information_score: 2.5885, 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: 0.474, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8995, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.3811, 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: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8796, kappa: 0.82, kb_relative_information_score: 117.8025, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8831, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, kappa: 0.11, kb_relative_information_score: 0.2281, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.4067, prior_entropy: 1.585, recall: 0.4067, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 125.1138, mean_absolute_error: 0.0949, 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: 0.2136, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 128.0884, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9355, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 124.8335, mean_absolute_error: 0.095, 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: 0.2138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.5736, mean_absolute_error: 0.0822, 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: 0.1851, 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: 0.8357, f_measure: 0.5978, kappa: 0.53, kb_relative_information_score: 13.7979, mean_absolute_error: 0.4205, 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: 0.9462, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1459, f_measure: 0.1667, kb_relative_information_score: 1.0236, mean_absolute_error: 0.4446, 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: 1.0003, 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: 0.5, f_measure: 0.1667, kb_relative_information_score: 1.0612, 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: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.172, kappa: -0.03, kb_relative_information_score: 0.5622, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4406, predictive_accuracy: 0.3133, prior_entropy: 1.585, recall: 0.3133, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 109.4978, mean_absolute_error: 0.1548, 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: 0.3483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.7756, mean_absolute_error: 0.0677, 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: 0.1524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 126.6978, mean_absolute_error: 0.0886, 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: 0.1994, 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: 0.9811, f_measure: 0.8999, kappa: 0.85, kb_relative_information_score: 120.2236, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8333, kappa: 0.76, kb_relative_information_score: 87.4217, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8745, predictive_accuracy: 0.84, prior_entropy: 1.585, recall: 0.84, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.5885, kappa: 0.41, kb_relative_information_score: 55.3584, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5938, predictive_accuracy: 0.6067, prior_entropy: 1.585, recall: 0.6067, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.5557, mean_absolute_error: 0.0558, 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: 0.1256, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2822,
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: 0.0972, kb_relative_information_score: 0.7652, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.5454, mean_absolute_error: 0.0503, 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: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8733, kappa: 0.81, kb_relative_information_score: 87.5007, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8734, predictive_accuracy: 0.8733, prior_entropy: 1.585, recall: 0.8733, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 127.3033, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9355, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3812,
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: 0.8892, f_measure: 0.7438, kappa: 0.62, kb_relative_information_score: 85.4817, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7428, predictive_accuracy: 0.7467, prior_entropy: 1.585, recall: 0.7467, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 121.2056, mean_absolute_error: 0.1083, 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: 0.2436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8666, kappa: 0.8, kb_relative_information_score: 116.2652, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1213, kb_relative_information_score: 0.8078, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.3481, kappa: 0.16, kb_relative_information_score: 2.5434, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.791, predictive_accuracy: 0.44, prior_entropy: 1.585, recall: 0.44, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.2757, mean_absolute_error: 0.058, 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: 0.1305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.131, root_relative_squared_error: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.5601, mean_absolute_error: 0.0563, 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: 0.1267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8558, kappa: 0.79, kb_relative_information_score: 88.1947, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8853, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.0001, 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: 0.1174, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0801, kb_relative_information_score: 0.6137, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8194, kappa: 0.74, kb_relative_information_score: 81.6452, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8587, predictive_accuracy: 0.8267, prior_entropy: 1.585, recall: 0.8267, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.5807, kappa: 0.52, kb_relative_information_score: 15.0055, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8275, predictive_accuracy: 0.68, prior_entropy: 1.585, recall: 0.68, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.7576, mean_absolute_error: 0.0523, 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: 0.1176, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.124, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8992, kappa: 0.85, kb_relative_information_score: 84.442, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 1.6821, 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: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 129.8433, mean_absolute_error: 0.0791, 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: 0.178, 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: 0.9967, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.1307, mean_absolute_error: 0.0619, 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: 0.1393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.2946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.5621, mean_absolute_error: 0.0833, 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: 0.1873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 127.5892, mean_absolute_error: 0.0865, 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: 0.1947, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.3022, mean_absolute_error: 0.0569, 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: 0.1281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.132, root_relative_squared_error: 0.2799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.9629, mean_absolute_error: 0.086, 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: 0.1935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935,
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: 0.1191, kb_relative_information_score: 0.7262, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 125.7971, mean_absolute_error: 0.0911, 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: 0.205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.7185, mean_absolute_error: 0.0562, 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: 0.1264, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.5297, kappa: 0.33, kb_relative_information_score: 47.1114, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5683, predictive_accuracy: 0.5533, prior_entropy: 1.585, recall: 0.5533, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.3319, mean_absolute_error: 0.062, 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: 0.1396, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2901,

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