OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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20597 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9392, kappa: 0.9114, kb_relative_information_score: 705.5421, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9398, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9428, kappa: 0.9167, kb_relative_information_score: 697.4387, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9435, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 66.5013, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 714.8078, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 1.9449, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 817.3371, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9678, kappa: 0.9531, kb_relative_information_score: 713.6308, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9583, kappa: 0.9394, kb_relative_information_score: 743.6207, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9589, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.3245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 728.0772, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9729, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.129, root_relative_squared_error: 0.3112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 821.0536, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9678, kappa: 0.9532, kb_relative_information_score: 717.5527, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.3323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9619, kappa: 0.9446, kb_relative_information_score: 740.0307, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9618, kappa: 0.9445, kb_relative_information_score: 715.005, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9607, kappa: 0.9428, kb_relative_information_score: 739.133, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9613, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 720.4215, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9564, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 814.4804, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9643, kappa: 0.9481, kb_relative_information_score: 754.0193, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9651, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 663.5263, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9129, kappa: 0.8737, kb_relative_information_score: 713.5531, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9138, predictive_accuracy: 0.9132, prior_entropy: 1.7898, recall: 0.9132, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kappa: -0.0017, kb_relative_information_score: 0.9338, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 724.3122, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.9617, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 596.5124, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.5558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 36.2258, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 1.0548, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4189, root_relative_squared_error: 1.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 725.1533, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.952, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 814.9541, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9199, kappa: 0.8839, kb_relative_information_score: 714.4254, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.921, predictive_accuracy: 0.9203, prior_entropy: 1.7898, recall: 0.9203, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.2306, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 734.6395, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 701.472, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.0534, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9643, kappa: 0.948, kb_relative_information_score: 727.0207, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9646, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 685.7957, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9729, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9832, kappa: 0.9757, kb_relative_information_score: 695.837, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 748.3223, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8431, kappa: 0.7717, kb_relative_information_score: 367.6478, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8458, predictive_accuracy: 0.843, prior_entropy: 1.7898, recall: 0.843, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9347, kappa: 0.9049, kb_relative_information_score: 762.056, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9348, predictive_accuracy: 0.9346, prior_entropy: 1.7898, recall: 0.9346, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9558, kappa: 0.9358, kb_relative_information_score: 685.9513, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9566, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 696.6401, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 753.5208, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9743, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9786, kappa: 0.9689, kb_relative_information_score: 750.0057, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9789, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9702, kappa: 0.9566, kb_relative_information_score: 672.5248, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9299, kappa: 0.898, kb_relative_information_score: 758.1894, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9301, predictive_accuracy: 0.9298, prior_entropy: 1.7898, recall: 0.9298, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9125, kappa: 0.8734, kb_relative_information_score: 711.1463, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9134, predictive_accuracy: 0.9132, prior_entropy: 1.7898, recall: 0.9132, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9416, kappa: 0.9151, kb_relative_information_score: 718.8151, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 716.1952, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.953, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9392, kappa: 0.9114, kb_relative_information_score: 706.8999, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.94, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9369, kappa: 0.9081, kb_relative_information_score: 719.086, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9372, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 672.8691, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 65.6207, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, kappa: 0.0888, kb_relative_information_score: 48.8659, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4281, prior_entropy: 1.7898, recall: 0.4281, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.406, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 706.6881, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: -0.0011, kb_relative_information_score: 3.5948, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3662, prior_entropy: 1.7898, recall: 0.3662, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.937, kappa: 0.9084, kb_relative_information_score: 742.7066, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9373, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9666, kappa: 0.9515, kb_relative_information_score: 744.5818, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, kappa: 0.5003, kb_relative_information_score: 189.5302, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6813, prior_entropy: 1.7898, recall: 0.6813, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 821.4804, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9872, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9619, kappa: 0.9445, kb_relative_information_score: 742.7679, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.3169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.975, kappa: 0.9637, kb_relative_information_score: 810.7203, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9509, kappa: 0.9288, kb_relative_information_score: 720.0776, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9521, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9583, kappa: 0.9394, kb_relative_information_score: 770.2436, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9592, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9311, kappa: 0.8997, kb_relative_information_score: 759.3813, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9311, predictive_accuracy: 0.931, prior_entropy: 1.7898, recall: 0.931, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 820.1201, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.1093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.436, kappa: 0.1953, kb_relative_information_score: 218.9793, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.4684, predictive_accuracy: 0.4602, prior_entropy: 1.7898, recall: 0.4602, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9606, kappa: 0.9428, kb_relative_information_score: 737.1881, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9614, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9512, kappa: 0.929, kb_relative_information_score: 751.0227, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.952, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9439, kappa: 0.9185, kb_relative_information_score: 727.4203, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9451, kappa: 0.9203, kb_relative_information_score: 734.0584, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9455, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 817.6554, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 728.3171, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 753.5024, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9667, kappa: 0.9515, kb_relative_information_score: 747.1996, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.95, kappa: 0.9271, kb_relative_information_score: 739.5797, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9505, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9702, kappa: 0.9566, kb_relative_information_score: 696.195, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9705, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9584, kappa: 0.9393, kb_relative_information_score: 740.8731, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9587, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 689.0368, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.944, kappa: 0.9186, kb_relative_information_score: 777.3361, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.944, kappa: 0.9185, kb_relative_information_score: 708.8715, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9447, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 763.6513, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9731, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.2706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 729.4984, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9519, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 34.0095, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 1.0577, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.42, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.1736, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kappa: 0.0011, kb_relative_information_score: 3.3064, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3627, prior_entropy: 1.7898, recall: 0.3627, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 711.1093, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9778, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.2291, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9535, kappa: 0.9323, kb_relative_information_score: 715.8623, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9541, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 721.3555, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, kappa: 0.328, kb_relative_information_score: 145.5674, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.5458, prior_entropy: 1.7898, recall: 0.5458, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.401, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9584, kappa: 0.9394, kb_relative_information_score: 768.0295, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9586, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 286.9342, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9582, kappa: 0.9394, kb_relative_information_score: 770.7285, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9593, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9678, kappa: 0.9532, kb_relative_information_score: 710.9286, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.1132, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, kb_relative_information_score: 2.169, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9655, kappa: 0.9501, kb_relative_information_score: 762.2763, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9664, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 711.581, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 814.9224, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9606, kappa: 0.9427, kb_relative_information_score: 727.615, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9613, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kappa: 0.0017, kb_relative_information_score: 4.078, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3555, prior_entropy: 1.7898, recall: 0.3555, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0003,

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

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From your own software

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

OpenML APIs