Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 128849 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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128849 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.5173, kappa: -0.0165, kb_relative_information_score: -7.6364, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4301, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7752, kappa: 0.5009, kb_relative_information_score: 278.6603, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7751, predictive_accuracy: 0.7754, prior_entropy: 0.9279, recall: 0.7754, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7103, kappa: 0.3464, kb_relative_information_score: 170.2765, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7082, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8234, kappa: 0.6116, kb_relative_information_score: 342.4429, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8258, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8809, kappa: 0.7372, kb_relative_information_score: 428.0726, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.882, predictive_accuracy: 0.8802, prior_entropy: 0.9279, recall: 0.8802, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7103, kappa: 0.3464, kb_relative_information_score: 171.0863, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7082, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.7937, kappa: 0.5421, kb_relative_information_score: 301.5109, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7937, predictive_accuracy: 0.7937, prior_entropy: 0.9279, recall: 0.7937, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8809, kappa: 0.7372, kb_relative_information_score: 427.8501, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.882, predictive_accuracy: 0.8802, prior_entropy: 0.9279, recall: 0.8802, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7957, kappa: 0.5473, kb_relative_information_score: 294.7236, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7961, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7083, kappa: 0.3417, kb_relative_information_score: 160.2138, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7063, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 473.6966, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7316, kappa: 0.3954, kb_relative_information_score: 208.9568, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.73, predictive_accuracy: 0.7371, prior_entropy: 0.9279, recall: 0.7371, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 288.9999, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.6931, kappa: 0.3059, kb_relative_information_score: 146.704, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.7022, prior_entropy: 0.9279, recall: 0.7022, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9405, kappa: 0.8689, kb_relative_information_score: 513.1103, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8315, kappa: 0.6293, kb_relative_information_score: 346.0787, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8337, predictive_accuracy: 0.8303, prior_entropy: 0.9279, recall: 0.8303, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9134, kappa: 0.8075, kb_relative_information_score: 482.2117, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9133, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9033, kappa: 0.7848, kb_relative_information_score: 464.03, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9031, predictive_accuracy: 0.9035, prior_entropy: 0.9279, recall: 0.9035, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9389, kappa: 0.8657, kb_relative_information_score: 510.5779, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9406, predictive_accuracy: 0.9384, prior_entropy: 0.9279, recall: 0.9384, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.7986, kappa: 0.5526, kb_relative_information_score: 297.7004, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.7987, prior_entropy: 0.9279, recall: 0.7987, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8469, kappa: 0.6602, kb_relative_information_score: 384.1395, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8469, predictive_accuracy: 0.8469, prior_entropy: 0.9279, recall: 0.8469, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7335, kappa: 0.4, kb_relative_information_score: 229.8637, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7319, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6727, kappa: 0.2587, kb_relative_information_score: 105.1227, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6699, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9352, kappa: 0.8565, kb_relative_information_score: 508.4272, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9354, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7941, kappa: 0.5442, kb_relative_information_score: 294.5041, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7947, predictive_accuracy: 0.7937, prior_entropy: 0.9279, recall: 0.7937, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6721, kappa: 0.2569, kb_relative_information_score: 107.4247, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6694, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.852, kappa: 0.6717, kb_relative_information_score: 389.3724, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8521, predictive_accuracy: 0.8519, prior_entropy: 0.9279, recall: 0.8519, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8251, kappa: 0.6157, kb_relative_information_score: 342.7179, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8278, predictive_accuracy: 0.8236, prior_entropy: 0.9279, recall: 0.8236, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6747, kappa: 0.2635, kb_relative_information_score: 106.1715, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6719, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6761, kappa: 0.2665, kb_relative_information_score: 108.6606, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6735, predictive_accuracy: 0.6872, prior_entropy: 0.9279, recall: 0.6872, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8672, kappa: 0.7059, kb_relative_information_score: 410.1565, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8676, predictive_accuracy: 0.8669, prior_entropy: 0.9279, recall: 0.8669, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7527, kappa: 0.4462, kb_relative_information_score: 237.4936, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7513, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7335, kappa: 0.4, kb_relative_information_score: 229.8637, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7319, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7986, kappa: 0.5526, kb_relative_information_score: 304.519, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.7987, prior_entropy: 0.9279, recall: 0.7987, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6931, kappa: 0.3059, kb_relative_information_score: 146.6253, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.7022, prior_entropy: 0.9279, recall: 0.7022, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8637, kappa: 0.6979, kb_relative_information_score: 406.2865, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8639, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8331, kappa: 0.6326, kb_relative_information_score: 352.1313, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8351, predictive_accuracy: 0.8319, prior_entropy: 0.9279, recall: 0.8319, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.7908, kappa: 0.5368, kb_relative_information_score: 292.3045, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7914, predictive_accuracy: 0.7903, prior_entropy: 0.9279, recall: 0.7903, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 191.8449, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9571, kappa: 0.9059, kb_relative_information_score: 536.6973, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9594, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6761, kappa: 0.2665, kb_relative_information_score: 108.6606, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6735, predictive_accuracy: 0.6872, prior_entropy: 0.9279, recall: 0.6872, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.717, kappa: 0.3633, kb_relative_information_score: 192.7253, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7149, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7603, kappa: 0.4618, kb_relative_information_score: 250.0914, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.759, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6747, kappa: 0.2635, kb_relative_information_score: 106.1715, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6719, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9352, kappa: 0.8565, kb_relative_information_score: 508.6669, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9354, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8502, kappa: 0.6676, kb_relative_information_score: 382.6154, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8502, predictive_accuracy: 0.8502, prior_entropy: 0.9279, recall: 0.8502, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.879, kappa: 0.7326, kb_relative_information_score: 423.3135, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8797, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6965, kappa: 0.3137, kb_relative_information_score: 148.448, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6944, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7531, kappa: 0.4475, kb_relative_information_score: 251.169, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7517, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8001, kappa: 0.5558, kb_relative_information_score: 306.6171, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7999, predictive_accuracy: 0.8003, prior_entropy: 0.9279, recall: 0.8003, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9269, kappa: 0.8379, kb_relative_information_score: 492.4617, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.927, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7798, kappa: 0.5102, kb_relative_information_score: 273.6307, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7794, predictive_accuracy: 0.7804, prior_entropy: 0.9279, recall: 0.7804, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7505, kappa: 0.4404, kb_relative_information_score: 242.1038, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.749, predictive_accuracy: 0.7537, prior_entropy: 0.9279, recall: 0.7537, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9554, kappa: 0.9018, kb_relative_information_score: 540.0925, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9567, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7111, kappa: 0.3512, kb_relative_information_score: 173.6612, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7089, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9124, kappa: 0.8072, kb_relative_information_score: 478.3824, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9139, predictive_accuracy: 0.9118, prior_entropy: 0.9279, recall: 0.9118, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7768, kappa: 0.504, kb_relative_information_score: 271.4803, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9279, recall: 0.777, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6865, kappa: 0.2899, kb_relative_information_score: 120.1905, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7347, kappa: 0.4043, kb_relative_information_score: 228.4057, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.733, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7263, kappa: 0.3832, kb_relative_information_score: 206.4878, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7246, predictive_accuracy: 0.7321, prior_entropy: 0.9279, recall: 0.7321, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7648, kappa: 0.4713, kb_relative_information_score: 253.693, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7637, predictive_accuracy: 0.7687, prior_entropy: 0.9279, recall: 0.7687, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9051, kappa: 0.7893, kb_relative_information_score: 466.9052, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6865, kappa: 0.2899, kb_relative_information_score: 120.2693, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.685, kappa: 0.2869, kb_relative_information_score: 122.9427, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6828, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.932, kappa: 0.8495, kb_relative_information_score: 503.256, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9323, predictive_accuracy: 0.9318, prior_entropy: 0.9279, recall: 0.9318, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9134, kappa: 0.8075, kb_relative_information_score: 482.2117, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9133, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7603, kappa: 0.4618, kb_relative_information_score: 249.9532, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.759, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9538, kappa: 0.8985, kb_relative_information_score: 532.3576, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9556, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7924, kappa: 0.54, kb_relative_information_score: 291.1629, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7928, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8756, kappa: 0.7246, kb_relative_information_score: 423.9758, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.876, predictive_accuracy: 0.8752, prior_entropy: 0.9279, recall: 0.8752, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7305, kappa: 0.3938, kb_relative_information_score: 226.1352, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7288, predictive_accuracy: 0.7354, prior_entropy: 0.9279, recall: 0.7354, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8381, kappa: 0.6439, kb_relative_information_score: 352.3998, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8403, predictive_accuracy: 0.8369, prior_entropy: 0.9279, recall: 0.8369, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8485, kappa: 0.6635, kb_relative_information_score: 391.6181, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8484, predictive_accuracy: 0.8486, prior_entropy: 0.9279, recall: 0.8486, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9454, kappa: 0.8797, kb_relative_information_score: 522.0599, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9464, predictive_accuracy: 0.9451, prior_entropy: 0.9279, recall: 0.9451, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8333, kappa: 0.6334, kb_relative_information_score: 357.433, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8357, predictive_accuracy: 0.8319, prior_entropy: 0.9279, recall: 0.8319, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8001, kappa: 0.5558, kb_relative_information_score: 304.3953, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7999, predictive_accuracy: 0.8003, prior_entropy: 0.9279, recall: 0.8003, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 188.5525, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8381, kappa: 0.6439, kb_relative_information_score: 354.3396, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8403, predictive_accuracy: 0.8369, prior_entropy: 0.9279, recall: 0.8369, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7648, kappa: 0.4713, kb_relative_information_score: 254.1223, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7637, predictive_accuracy: 0.7687, prior_entropy: 0.9279, recall: 0.7687, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7073, kappa: 0.3403, kb_relative_information_score: 167.8202, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7051, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7347, kappa: 0.4043, kb_relative_information_score: 229.9777, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.733, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.7926, kappa: 0.541, kb_relative_information_score: 293.5365, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7933, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7603, kappa: 0.4618, kb_relative_information_score: 250.5207, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.759, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.6945, kappa: 0.3089, kb_relative_information_score: 148.1557, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6924, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7335, kappa: 0.4, kb_relative_information_score: 229.4826, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7319, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8234, kappa: 0.6116, kb_relative_information_score: 342.963, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8258, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.6845, kappa: 0.2852, kb_relative_information_score: 119.0629, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6824, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7768, kappa: 0.504, kb_relative_information_score: 271.4803, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9279, recall: 0.777, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 190.1246, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9554, kappa: 0.902, kb_relative_information_score: 533.7723, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9571, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.717, kappa: 0.3633, kb_relative_information_score: 191.1532, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7149, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7068, kappa: 0.3404, kb_relative_information_score: 162.3942, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7045, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.845, kappa: 0.6553, kb_relative_information_score: 386.5025, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8448, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7218, kappa: 0.374, kb_relative_information_score: 192.6466, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7199, predictive_accuracy: 0.7271, prior_entropy: 0.9279, recall: 0.7271, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8047, kappa: 0.5654, kb_relative_information_score: 307.6171, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8043, predictive_accuracy: 0.8053, prior_entropy: 0.9279, recall: 0.8053, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7557, kappa: 0.4524, kb_relative_information_score: 240.0691, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7543, predictive_accuracy: 0.7587, prior_entropy: 0.9279, recall: 0.7587, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7083, kappa: 0.3435, kb_relative_information_score: 170.5449, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.706, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8234, kappa: 0.6116, kb_relative_information_score: 341.8124, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8258, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7263, kappa: 0.3832, kb_relative_information_score: 207.3073, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7246, predictive_accuracy: 0.7321, prior_entropy: 0.9279, recall: 0.7321, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.845, kappa: 0.6553, kb_relative_information_score: 386.1936, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8448, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6273,

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