Task
Supervised Classification on iris

Supervised Classification on iris

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

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9793, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.8131, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1273, mean_absolute_error: 0.0658, 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: 0.148, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.186, root_relative_squared_error: 0.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0976, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.393,
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: 0.9928, 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: 0.9911, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 125.1338, mean_absolute_error: 0.0971, 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: 0.2185, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.1172, mean_absolute_error: 0.0597, 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: 0.1343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, 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: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.5104, mean_absolute_error: 0.0538, 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: 0.1211, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, kappa: 0.14, kb_relative_information_score: 0.3146, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.4267, prior_entropy: 1.585, recall: 0.4267, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 132.4701, mean_absolute_error: 0.0713, 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: 0.1603, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.1725, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.9971, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1532, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.3004, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.399,
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: 0.9777, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.5544, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.5429, mean_absolute_error: 0.064, 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: 0.144, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 127.4361, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, 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: 0.9905, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 124.3781, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9329, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3931,
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: 0.9963, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 133.9807, mean_absolute_error: 0.0633, 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: 0.1425, 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: 0.9773, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0435, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 130.5349, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0293, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1394, 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: 0.5137, kb_relative_information_score: 1.3943, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.6943, mean_absolute_error: 0.0528, 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: 0.1189, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2603,
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: 0.976, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.8748, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 129.9432, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 125.1659, mean_absolute_error: 0.0962, 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: 0.2166, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.4688, kappa: 0.3, kb_relative_information_score: 48.1429, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4306, predictive_accuracy: 0.5333, prior_entropy: 1.585, recall: 0.5333, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8842,
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: 0.9781, f_measure: 0.8866, kappa: 0.83, kb_relative_information_score: 120.2401, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8875, predictive_accuracy: 0.8867, prior_entropy: 1.585, recall: 0.8867, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.5344, mean_absolute_error: 0.0546, 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: 0.1229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.2017, mean_absolute_error: 0.0589, 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: 0.1325, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.5869, mean_absolute_error: 0.0564, 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: 0.1268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.7132, mean_absolute_error: 0.0828, 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: 0.1864, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3933,
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: 0.8337, kappa: 0.49, kb_relative_information_score: 27.3757, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.66, prior_entropy: 1.585, recall: 0.66, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.9431, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.1488, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9802, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.05, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.7029, mean_absolute_error: 0.0608, 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: 0.1368, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3868, mean_absolute_error: 0.0641, 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: 0.1443, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6534, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.0406, mean_absolute_error: 0.0647, 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: 0.1455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.3757, mean_absolute_error: 0.0369, 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: 0.083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.7744, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8319, kappa: 0.76, kb_relative_information_score: 86.1789, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8816, predictive_accuracy: 0.84, prior_entropy: 1.585, recall: 0.84, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 132.0507, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4065,
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: 0.9792, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.211, mean_absolute_error: 0.0645, 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: 0.145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3957,
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: 0.9985, 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: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.7435, mean_absolute_error: 0.0597, 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: 0.1343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.3814, 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: 0.1232, 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: 0.9972, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.6764, mean_absolute_error: 0.0643, 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: 0.1448, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.6403, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4055,
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: 0.9729, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.2911, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 127.5818, mean_absolute_error: 0.0867, 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: 0.195, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3705,
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: 0.9765, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 133.2465, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.8891, mean_absolute_error: 0.0427, 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: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.9701, mean_absolute_error: 0.0529, 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: 0.1191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.2528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.2481, mean_absolute_error: 0.0652, 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: 0.1466, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.5237, kappa: 0.35, kb_relative_information_score: 45.7629, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5305, predictive_accuracy: 0.5667, prior_entropy: 1.585, recall: 0.5667, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8741,
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: 0.9898, f_measure: 0.9261, kappa: 0.89, kb_relative_information_score: 120.1514, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9271, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.7695, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9758, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.0116, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.2935, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.6821, 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: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.0113, mean_absolute_error: 0.0553, 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: 0.1243, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2685,
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: 0.9807, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.6127, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.94, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9, kappa: 0.85, kb_relative_information_score: 121.2139, mean_absolute_error: 0.1072, 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: 0.2413, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.7054, 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: 0.1194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.9075, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.5432, mean_absolute_error: 0.0547, 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: 0.1231, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 133.6101, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.3191, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.2729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9602, kappa: 0.94, kb_relative_information_score: 134.8562, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9608, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.9792, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.5556, mean_absolute_error: 0.0632, 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: 0.1423, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1344, kb_relative_information_score: 1.9909, 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: 1.0002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.1648, mean_absolute_error: 0.0521, 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: 0.1172, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.0628, mean_absolute_error: 0.0515, 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: 0.1158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, 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: 0.9974, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.6824, mean_absolute_error: 0.0567, 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: 0.1275, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2769,
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: 0.9886, 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: 0.8795, kb_relative_information_score: 3.3674, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 121.8716, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9329, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4125,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs