OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9841, kappa: 0.9383, kb_relative_information_score: 5599.7005, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.6204, recall: 0.9844, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6541.149, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9894, kappa: 0.9592, kb_relative_information_score: 5760.4711, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9893, kappa: 0.9586, kb_relative_information_score: 5679.6333, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.6204, recall: 0.9894, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9826, kappa: 0.9325, kb_relative_information_score: 5103.3335, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9828, predictive_accuracy: 0.9829, prior_entropy: 0.6204, recall: 0.9829, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9807, kappa: 0.9248, kb_relative_information_score: 4992.9754, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.981, predictive_accuracy: 0.9811, prior_entropy: 0.6204, recall: 0.9811, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9882, kappa: 0.9545, kb_relative_information_score: 5669.7681, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.6204, recall: 0.9883, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.8897, kappa: 0.5282, kb_relative_information_score: 2645.8243, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9164, predictive_accuracy: 0.9072, prior_entropy: 0.6204, recall: 0.9072, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6493.9796, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, kb_relative_information_score: -2719.2956, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0684, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6189.2509, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 6378.7465, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, kb_relative_information_score: -2736.0325, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0695, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9957, kappa: 0.9836, kb_relative_information_score: 6204.6694, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9294, kappa: 0.7077, kb_relative_information_score: -8584.1166, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9396, predictive_accuracy: 0.9362, prior_entropy: 0.6204, recall: 0.9362, relative_absolute_error: 1.499, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3948, root_relative_squared_error: 1.0934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.912, kappa: 0.6329, kb_relative_information_score: -6061.1252, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9231, predictive_accuracy: 0.9216, prior_entropy: 0.6204, recall: 0.9216, relative_absolute_error: 1.3033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6498.8259, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.033, root_relative_squared_error: 0.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9495, kappa: 0.7967, kb_relative_information_score: -6933.3745, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9524, predictive_accuracy: 0.9523, prior_entropy: 0.6204, recall: 0.9523, relative_absolute_error: 1.3615, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3631, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9896, kappa: 0.9599, kb_relative_information_score: 5871.6715, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.6204, recall: 0.9897, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.2656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9921, kappa: 0.9695, kb_relative_information_score: 5959.5574, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.6204, recall: 0.9921, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -7771.9806, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.404, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3675, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9552, kappa: 0.8227, kb_relative_information_score: 4569.0448, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.956, predictive_accuracy: 0.9568, prior_entropy: 0.6204, recall: 0.9568, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9262, kappa: 0.6937, kb_relative_information_score: -8361.6175, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9372, predictive_accuracy: 0.9336, prior_entropy: 0.6204, recall: 0.9336, relative_absolute_error: 1.4799, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.0814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6532.6595, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9534, kappa: 0.8153, kb_relative_information_score: 4528.7733, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9543, predictive_accuracy: 0.9551, prior_entropy: 0.6204, recall: 0.9551, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9973, kappa: 0.9895, kb_relative_information_score: 6466.5899, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8454, kappa: 0.3233, kb_relative_information_score: -11174.1959, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8948, predictive_accuracy: 0.8798, prior_entropy: 0.6204, recall: 0.8798, relative_absolute_error: 1.7627, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.2754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8432, kappa: 0.3133, kb_relative_information_score: -10699.6054, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8938, predictive_accuracy: 0.8786, prior_entropy: 0.6204, recall: 0.8786, relative_absolute_error: 1.7119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4481, root_relative_squared_error: 1.2411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9908, kappa: 0.9647, kb_relative_information_score: 5790.7298, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6181.0135, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2656.414, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, kb_relative_information_score: -2707.5717, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9868, kappa: 0.9489, kb_relative_information_score: 5671.7095, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.6204, recall: 0.987, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: -3957.0077, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 1.0719, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9871, kappa: 0.9503, kb_relative_information_score: 5574.5033, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9872, predictive_accuracy: 0.9873, prior_entropy: 0.6204, recall: 0.9873, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6463.0863, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.1088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, kb_relative_information_score: -2695.8193, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0668, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.975, kappa: 0.9023, kb_relative_information_score: 4662.8109, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9755, predictive_accuracy: 0.9756, prior_entropy: 0.6204, recall: 0.9756, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9957, kappa: 0.9836, kb_relative_information_score: 6042.3065, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9957, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.2107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9878, kappa: 0.9526, kb_relative_information_score: 5522.7575, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9878, predictive_accuracy: 0.9879, prior_entropy: 0.6204, recall: 0.9879, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -10062.8701, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.6349, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -8559.6349, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.477, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6196.5948, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9964, kappa: 0.986, kb_relative_information_score: -4301.6962, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 1.1041, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.29, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6305.2673, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -10638.4286, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.6992, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4434, root_relative_squared_error: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9904, kappa: 0.9628, kb_relative_information_score: 5962.6473, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6488.7105, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.0935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9874, kappa: 0.9513, kb_relative_information_score: 5974.4307, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9873, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8827, kappa: 0.499, kb_relative_information_score: -8627.9964, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 0.6204, recall: 0.9009, relative_absolute_error: 1.51, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.7881, kappa: 0.0585, kb_relative_information_score: 176.3722, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8735, predictive_accuracy: 0.8513, prior_entropy: 0.6204, recall: 0.8513, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9755, kappa: 0.9043, kb_relative_information_score: 5268.189, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9759, predictive_accuracy: 0.9761, prior_entropy: 0.6204, recall: 0.9761, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6534.7566, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 6464.4339, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6229.285, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.1758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6498.2038, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0342, root_relative_squared_error: 0.0948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6313.9547, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, kb_relative_information_score: -2700.0403, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0672, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, kb_relative_information_score: -2708.8445, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0678, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6233.641, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9884, kappa: 0.955, kb_relative_information_score: 5836.1304, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.6204, recall: 0.9885, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9716, kappa: 0.8884, kb_relative_information_score: 5120.8246, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.6204, recall: 0.9724, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.147, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, kb_relative_information_score: -2677.2995, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9964, kappa: 0.986, kb_relative_information_score: 5973.9973, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9907, kappa: 0.9641, kb_relative_information_score: 5793.2527, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9907, predictive_accuracy: 0.9908, prior_entropy: 0.6204, recall: 0.9908, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.8904, kappa: 0.5313, kb_relative_information_score: 2641.0487, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9168, predictive_accuracy: 0.9077, prior_entropy: 0.6204, recall: 0.9077, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -8878.1934, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.512, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3949, root_relative_squared_error: 1.0937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9905, kappa: 0.9635, kb_relative_information_score: 5784.4316, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.6204, recall: 0.9906, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, kb_relative_information_score: -2714.6504, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0681, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2621.6636, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9879, kappa: 0.9531, kb_relative_information_score: 5404.1568, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6398.4659, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8974, kappa: 0.5674, kb_relative_information_score: 2815.3982, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9123, predictive_accuracy: 0.9107, prior_entropy: 0.6204, recall: 0.9107, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9826, kappa: 0.9326, kb_relative_information_score: 5112.5555, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9828, predictive_accuracy: 0.9829, prior_entropy: 0.6204, recall: 0.9829, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2466.758, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9909, kappa: 0.9651, kb_relative_information_score: 5102.1022, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9927, kappa: 0.9718, kb_relative_information_score: 5978.2121, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6204, recall: 0.9927, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.084, root_relative_squared_error: 0.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: -4824.8552, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 1.1537, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6490.2785, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8939, kappa: 0.5482, kb_relative_information_score: 2556.0957, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9164, predictive_accuracy: 0.9097, prior_entropy: 0.6204, recall: 0.9097, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.8897, kappa: 0.5282, kb_relative_information_score: 2634.1624, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9164, predictive_accuracy: 0.9072, prior_entropy: 0.6204, recall: 0.9072, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9837, kappa: 0.9367, kb_relative_information_score: 5147.7759, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.6204, recall: 0.9839, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6538.6784, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0352, root_relative_squared_error: 0.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -4924.0831, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.1468, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9912, kappa: 0.9658, kb_relative_information_score: 5912.4015, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.6204, recall: 0.9912, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 6476.1788, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 6231.917, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.064, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 5959.0569, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6337.7276, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9859, kappa: 0.9453, kb_relative_information_score: 5654.3749, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.986, predictive_accuracy: 0.9861, prior_entropy: 0.6204, recall: 0.9861, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9895, kappa: 0.9593, kb_relative_information_score: 5712.826, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.8868, kappa: 0.5148, kb_relative_information_score: 2593.4852, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9148, predictive_accuracy: 0.9053, prior_entropy: 0.6204, recall: 0.9053, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, kb_relative_information_score: -2713.1422, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0681, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: -6087.9887, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 1.2635, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, kb_relative_information_score: -9.3879, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9632, kappa: 0.8556, kb_relative_information_score: 4889.0347, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2628.6854, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.8897, kappa: 0.5282, kb_relative_information_score: 2428.273, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9164, predictive_accuracy: 0.9072, prior_entropy: 0.6204, recall: 0.9072, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.286, root_relative_squared_error: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9931, kappa: 0.9735, kb_relative_information_score: 5909.899, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.6204, recall: 0.9932, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.2412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9859, kb_relative_information_score: -8433.9295, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 1.4758, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3868, root_relative_squared_error: 1.0711,

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