OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
0 likes downloaded by 21 people , 45 total downloads 0 issues
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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: 0.7133, kb_relative_information_score: 0.6596, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.5271, mean_absolute_error: 0.0544, 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: 0.1223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 127.3259, mean_absolute_error: 0.0896, 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: 0.2016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1542, kappa: -0.5, kb_relative_information_score: -0.7965, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 126.9264, mean_absolute_error: 0.0899, 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: 0.2022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.788, mean_absolute_error: 0.0569, 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: 0.1281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2828,
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: 0.6086, 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: 0.9985, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 136.7995, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.12, root_relative_squared_error: 0.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.422, mean_absolute_error: 0.0545, 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: 0.1227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 128.9463, mean_absolute_error: 0.0816, 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: 0.1836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.7657, mean_absolute_error: 0.0538, 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: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 123.4345, mean_absolute_error: 0.1046, 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: 0.2353, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3909,
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: 0.828, f_measure: 0.6644, kappa: 0.5, kb_relative_information_score: 64.8209, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6634, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8535, kappa: 0.79, kb_relative_information_score: 85.5992, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9014, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.4498, mean_absolute_error: 0.0548, 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: 0.1233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.123, root_relative_squared_error: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.4661, 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: 0.1278, root_relative_squared_error: 0.2711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 127.4632, mean_absolute_error: 0.0856, 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: 0.1845, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9261, kappa: 0.89, kb_relative_information_score: 67.0793, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9354, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.622, mean_absolute_error: 0.0723, 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: 0.1627, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.4238, kappa: 0.15, kb_relative_information_score: 70.0686, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4161, predictive_accuracy: 0.4333, prior_entropy: 1.585, recall: 0.4333, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.9264, 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: 0.1191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, kb_relative_information_score: 2.3732, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9977, 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: 0.7842, kappa: 0.21, kb_relative_information_score: 30.5644, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.4733, prior_entropy: 1.585, recall: 0.4733, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.1034, mean_absolute_error: 0.0564, 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: 0.1268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.7893, mean_absolute_error: 0.0538, 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: 0.1209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2547,
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: 1.3781, 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: 0.1668, kb_relative_information_score: 0.5409, 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: 0.4731, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 104.3176, mean_absolute_error: 0.1746, 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: 0.3928, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6073, 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: 0.1208, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.5777, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.5329, mean_absolute_error: 0.0537, 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: 0.1208, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.125, root_relative_squared_error: 0.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1705, kb_relative_information_score: 0.3751, 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: 1.0025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 130.2343, mean_absolute_error: 0.0767, 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: 0.1727, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3472,
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: 0.9906, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 125.8827, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3893,
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: 0.9837, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 126.0059, mean_absolute_error: 0.09, 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: 0.2025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 128.9181, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9607, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.5676, kappa: 0.36, kb_relative_information_score: 52.4752, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.563, predictive_accuracy: 0.5733, prior_entropy: 1.585, recall: 0.5733, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.9913, mean_absolute_error: 0.0591, 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: 0.1329, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.1816, mean_absolute_error: 0.0587, 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: 0.1321, 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: 0.656, f_measure: 0.3873, kappa: 0.2, kb_relative_information_score: 11.0801, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4091, predictive_accuracy: 0.4667, prior_entropy: 1.585, recall: 0.4667, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1659, kb_relative_information_score: 0.969, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 129.8041, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9475, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1758, 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: 0.5, 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: 0.9955, f_measure: 0.9664, kappa: 0.95, kb_relative_information_score: 129.787, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3306,
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: 0.9976, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.8866, mean_absolute_error: 0.06, 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: 0.1349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7298, kappa: 0.62, kb_relative_information_score: 72.6036, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7455, predictive_accuracy: 0.7467, prior_entropy: 1.585, recall: 0.7467, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, kappa: 0.5, kb_relative_information_score: 3.8122, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.6156, kappa: 0.43, kb_relative_information_score: 58.8092, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6123, predictive_accuracy: 0.62, prior_entropy: 1.585, recall: 0.62, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.6996, mean_absolute_error: 0.0535, 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: 0.1204, 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: 0.9979, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.1156, mean_absolute_error: 0.0516, 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: 0.116, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.5919, kappa: 0.4, kb_relative_information_score: 48.2517, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5989, predictive_accuracy: 0.6, prior_entropy: 1.585, recall: 0.6, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.4604, kappa: 0.2, kb_relative_information_score: 59.1617, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.456, predictive_accuracy: 0.4667, prior_entropy: 1.585, recall: 0.4667, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6165, mean_absolute_error: 0.0544, 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: 0.1225, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 129.6028, mean_absolute_error: 0.0787, 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: 0.1771, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.9525, mean_absolute_error: 0.0821, 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: 0.1847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.8312, mean_absolute_error: 0.0534, 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: 0.1201, 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: 0.9973, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 132.9252, mean_absolute_error: 0.0697, 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: 0.1569, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 126.6347, mean_absolute_error: 0.0899, 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: 0.2022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3757,
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: 0.2966, kappa: -0.5, kb_relative_information_score: -0.3098, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.6554, kappa: 0.57, kb_relative_information_score: 86.6705, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8091, predictive_accuracy: 0.7133, prior_entropy: 1.585, recall: 0.7133, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 133.9567, mean_absolute_error: 0.0635, 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: 0.1428, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.3009,
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: 0.8336, f_measure: 0.5101, kappa: 0.38, kb_relative_information_score: 10.6939, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5, predictive_accuracy: 0.5867, prior_entropy: 1.585, recall: 0.5867, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.7551, mean_absolute_error: 0.0539, 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: 0.1212, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2535,
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: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.4724, mean_absolute_error: 0.0621, 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: 0.1398, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.9168, mean_absolute_error: 0.0531, 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: 0.1194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.5978, kappa: 0.53, kb_relative_information_score: 17.8454, mean_absolute_error: 0.4129, 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: 0.9289, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.7567, kappa: 0.63, kb_relative_information_score: 61.665, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.769, predictive_accuracy: 0.7533, prior_entropy: 1.585, recall: 0.7533, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1691, kb_relative_information_score: 2.0364, 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: 0.5, 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: 0.9888, f_measure: 0.933, kappa: 0.9, kb_relative_information_score: 122.8917, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.933, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 131.2153, mean_absolute_error: 0.0767, 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: 0.1726, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.6709, mean_absolute_error: 0.0608, 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: 0.1369, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 126.1652, mean_absolute_error: 0.0926, 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: 0.2084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774,
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: 0.8323, f_measure: 0.6985, kappa: 0.55, kb_relative_information_score: 82.0458, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.6191, kappa: 0.43, kb_relative_information_score: 58.7999, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6188, predictive_accuracy: 0.62, prior_entropy: 1.585, recall: 0.62, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.681, kappa: 0.6, kb_relative_information_score: 56.7828, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8474, predictive_accuracy: 0.7333, prior_entropy: 1.585, recall: 0.7333, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, kappa: 0.5, kb_relative_information_score: 6.5372, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 133.8063, mean_absolute_error: 0.0659, 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: 0.1483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2789,
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: 0.9972, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.626, mean_absolute_error: 0.053, 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: 0.1193, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.6563, mean_absolute_error: 0.053, 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: 0.1192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 126.2746, mean_absolute_error: 0.0916, 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: 0.2062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.3821, mean_absolute_error: 0.0836, 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: 0.1881, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 129.3991, mean_absolute_error: 0.0772, 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: 0.1736, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 117.6192, mean_absolute_error: 0.1268, 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: 0.2853, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, kb_relative_information_score: 0.7197, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9994, 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: 0.9948, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.5291, mean_absolute_error: 0.0688, 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: 0.1548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.4007, mean_absolute_error: 0.0544, 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: 0.1224, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.125, root_relative_squared_error: 0.2651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 134.2292, mean_absolute_error: 0.0606, 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: 0.1364, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.3062,

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