OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, kappa: 0.7005, kb_relative_information_score: -895.2644, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8669, prior_entropy: 1.2099, recall: 0.8669, relative_absolute_error: 1.5879, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.42, root_relative_squared_error: 1.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9832, kappa: 0.9633, kb_relative_information_score: -813.8842, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 1.5504, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.2128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9294, kappa: 0.8463, kb_relative_information_score: 1456.5372, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9715, kappa: 0.9381, kb_relative_information_score: 1557.4334, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9729, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.3257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8267, kappa: 0.619, kb_relative_information_score: 977.4709, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8274, predictive_accuracy: 0.8293, prior_entropy: 1.2099, recall: 0.8293, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9181, kappa: 0.8255, kb_relative_information_score: 1347.083, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9324, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9861, kappa: 0.9696, kb_relative_information_score: -746.3177, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 1.2099, recall: 0.9861, relative_absolute_error: 1.5175, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9496, kappa: 0.89, kb_relative_information_score: 1568.4292, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9739, kappa: 0.9431, kb_relative_information_score: -735.7714, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9739, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 1.5119, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3998, root_relative_squared_error: 1.1826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, kappa: 0.3946, kb_relative_information_score: -928.2468, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7755, prior_entropy: 1.2099, recall: 0.7755, relative_absolute_error: 1.6092, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4255, root_relative_squared_error: 1.2585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9403, kappa: 0.8684, kb_relative_information_score: 1494.392, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9138, kappa: 0.8114, kb_relative_information_score: 1385.3994, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9165, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8339, kappa: 0.6354, kb_relative_information_score: -910.6584, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8444, predictive_accuracy: 0.8507, prior_entropy: 1.2099, recall: 0.8507, relative_absolute_error: 1.5991, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4229, root_relative_squared_error: 1.2507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, kb_relative_information_score: -895.1734, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.5846, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7798, kappa: 0.5077, kb_relative_information_score: 826.7965, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7749, predictive_accuracy: 0.794, prior_entropy: 1.2099, recall: 0.794, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.321, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9815, kappa: 0.9598, kb_relative_information_score: 1634.2361, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9823, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7687, kappa: 0.5234, kb_relative_information_score: 630.8249, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8349, predictive_accuracy: 0.739, prior_entropy: 1.2099, recall: 0.739, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9128, kappa: 0.8094, kb_relative_information_score: 1388.2074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9496, kappa: 0.89, kb_relative_information_score: 1536.3911, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9504, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6944, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9828, kappa: 0.9623, kb_relative_information_score: -837.4864, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9831, predictive_accuracy: 0.9826, prior_entropy: 1.2099, recall: 0.9826, relative_absolute_error: 1.5657, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8695, kappa: 0.7319, kb_relative_information_score: 943.7265, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9019, predictive_accuracy: 0.8611, prior_entropy: 1.2099, recall: 0.8611, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: 1641.2501, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.0427, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9316, kappa: 0.8511, kb_relative_information_score: 1450.353, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9336, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1380.0431, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9559, kappa: 0.9039, kb_relative_information_score: 1567.268, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9567, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1500.5534, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9429, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8453, kappa: 0.6616, kb_relative_information_score: 1040.013, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8441, predictive_accuracy: 0.8478, prior_entropy: 1.2099, recall: 0.8478, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9364, kappa: 0.8602, kb_relative_information_score: 1480.8795, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: -744.6933, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 1.5164, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.401, root_relative_squared_error: 1.1861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, kb_relative_information_score: -884.7502, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.5781, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, kappa: 0.7029, kb_relative_information_score: -895.1871, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8675, prior_entropy: 1.2099, recall: 0.8675, relative_absolute_error: 1.5879, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.42, root_relative_squared_error: 1.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9014, kappa: 0.7902, kb_relative_information_score: 1257.5231, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9096, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9047, kappa: 0.7961, kb_relative_information_score: 1291.9953, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.914, predictive_accuracy: 0.901, prior_entropy: 1.2099, recall: 0.901, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.9634, kb_relative_information_score: -775.376, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9834, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 1.5324, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, kb_relative_information_score: 226.4532, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9785, kappa: 0.9531, kb_relative_information_score: -790.9115, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9784, predictive_accuracy: 0.9786, prior_entropy: 1.2099, recall: 0.9786, relative_absolute_error: 1.5399, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.2045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9774, kappa: 0.9506, kb_relative_information_score: -721.1254, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 1.2099, recall: 0.9774, relative_absolute_error: 1.5049, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.398, root_relative_squared_error: 1.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9787, kappa: 0.9536, kb_relative_information_score: 1617.6689, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9794, predictive_accuracy: 0.9786, prior_entropy: 1.2099, recall: 0.9786, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9844, kappa: 0.9659, kb_relative_information_score: -738.8855, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9845, predictive_accuracy: 0.9844, prior_entropy: 1.2099, recall: 0.9844, relative_absolute_error: 1.5138, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4003, root_relative_squared_error: 1.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9329, kappa: 0.8538, kb_relative_information_score: 1387.8577, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9331, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9077, kappa: 0.8177, kb_relative_information_score: -867.5842, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9262, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 1.5712, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4156, root_relative_squared_error: 1.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9128, kappa: 0.8094, kb_relative_information_score: 1388.2074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8764, kappa: 0.7444, kb_relative_information_score: 855.4093, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9047, predictive_accuracy: 0.8686, prior_entropy: 1.2099, recall: 0.8686, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9715, kappa: 0.9381, kb_relative_information_score: 1567.125, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9728, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9607, kappa: 0.9159, kb_relative_information_score: -822.7073, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9614, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 1.5482, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4095, root_relative_squared_error: 1.2112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.919, kappa: 0.8262, kb_relative_information_score: 1350.2536, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9296, predictive_accuracy: 0.9155, prior_entropy: 1.2099, recall: 0.9155, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9512, kappa: 0.8948, kb_relative_information_score: 1520.0773, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9511, predictive_accuracy: 0.952, prior_entropy: 1.2099, recall: 0.952, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.939, kappa: 0.8669, kb_relative_information_score: 1489.8955, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9396, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9826, kappa: 0.9621, kb_relative_information_score: -813.6774, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9827, predictive_accuracy: 0.9826, prior_entropy: 1.2099, recall: 0.9826, relative_absolute_error: 1.5503, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.41, root_relative_squared_error: 1.2127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9316, kappa: 0.8511, kb_relative_information_score: 1450.353, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9336, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7889, kappa: 0.5553, kb_relative_information_score: 470.8475, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8075, predictive_accuracy: 0.7795, prior_entropy: 1.2099, recall: 0.7795, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9878, kappa: 0.9735, kb_relative_information_score: -827.3264, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2099, recall: 0.9878, relative_absolute_error: 1.5593, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4124, root_relative_squared_error: 1.2197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.6819, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9395, kappa: 0.8679, kb_relative_information_score: 1492.8331, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9399, predictive_accuracy: 0.9392, prior_entropy: 1.2099, recall: 0.9392, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.922, kappa: 0.8333, kb_relative_information_score: 1340.6007, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9331, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: -725.944, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 1.5071, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9324, kappa: 0.8529, kb_relative_information_score: 1384.2693, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9327, predictive_accuracy: 0.9323, prior_entropy: 1.2099, recall: 0.9323, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.4751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9314, kappa: 0.8525, kb_relative_information_score: 1427.0621, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9412, predictive_accuracy: 0.9282, prior_entropy: 1.2099, recall: 0.9282, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1582.5752, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9609, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.117, root_relative_squared_error: 0.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9335, kappa: 0.8551, kb_relative_information_score: 1382.5195, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9336, predictive_accuracy: 0.9334, prior_entropy: 1.2099, recall: 0.9334, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9666, kappa: 0.9286, kb_relative_information_score: -789.2877, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9684, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 1.5299, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4047, root_relative_squared_error: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9323, kappa: 0.8536, kb_relative_information_score: 1403.9368, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9361, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9715, kappa: 0.9379, kb_relative_information_score: 1604.2557, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9715, predictive_accuracy: 0.9716, prior_entropy: 1.2099, recall: 0.9716, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9612, kappa: 0.9155, kb_relative_information_score: 1597.2052, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9614, predictive_accuracy: 0.9612, prior_entropy: 1.2099, recall: 0.9612, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.8397, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, kappa: 0.738, kb_relative_information_score: -850.1813, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8819, prior_entropy: 1.2099, recall: 0.8819, relative_absolute_error: 1.5564, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.2179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8922, kappa: 0.7727, kb_relative_information_score: 1041.6011, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9074, predictive_accuracy: 0.8872, prior_entropy: 1.2099, recall: 0.8872, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, kappa: 0.6248, kb_relative_information_score: -880.9494, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8414, prior_entropy: 1.2099, recall: 0.8414, relative_absolute_error: 1.5763, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.417, root_relative_squared_error: 1.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9781, kappa: 0.9525, kb_relative_information_score: -865.1558, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9789, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 1.5805, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.418, root_relative_squared_error: 1.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9727, kappa: 0.941, kb_relative_information_score: 1598.1715, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9218, kappa: 0.8296, kb_relative_information_score: 1400.6953, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9243, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9125, kappa: 0.8089, kb_relative_information_score: 1384.7076, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8599, kappa: 0.7299, kb_relative_information_score: -903.4142, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8844, predictive_accuracy: 0.8791, prior_entropy: 1.2099, recall: 0.8791, relative_absolute_error: 1.594, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.2468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9698, kappa: 0.9341, kb_relative_information_score: 1578.9504, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 1.2099, recall: 0.9699, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9585, kappa: 0.9096, kb_relative_information_score: 1578.5937, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9589, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.116, root_relative_squared_error: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9495, kappa: 0.8899, kb_relative_information_score: 1559.9613, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9767, kappa: 0.9495, kb_relative_information_score: -806.2235, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9772, predictive_accuracy: 0.9769, prior_entropy: 1.2099, recall: 0.9769, relative_absolute_error: 1.5453, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1423.2866, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9257, predictive_accuracy: 0.923, prior_entropy: 1.2099, recall: 0.923, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9269, kappa: 0.8435, kb_relative_information_score: 1378.3348, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9362, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, kappa: 0.0986, kb_relative_information_score: -936.5084, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7083, prior_entropy: 1.2099, recall: 0.7083, relative_absolute_error: 1.6152, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.2632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9748, kappa: 0.9452, kb_relative_information_score: 1600.8939, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9748, predictive_accuracy: 0.9751, prior_entropy: 1.2099, recall: 0.9751, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9462, kappa: 0.884, kb_relative_information_score: 1454.4295, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9533, predictive_accuracy: 0.9444, prior_entropy: 1.2099, recall: 0.9444, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9439, kappa: 0.8773, kb_relative_information_score: 1510.9759, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9447, predictive_accuracy: 0.9433, prior_entropy: 1.2099, recall: 0.9433, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9666, kappa: 0.9279, kb_relative_information_score: 1567.518, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9667, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8843, kappa: 0.7467, kb_relative_information_score: -917.4217, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8893, predictive_accuracy: 0.8895, prior_entropy: 1.2099, recall: 0.8895, relative_absolute_error: 1.6049, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9664, kappa: 0.9279, kb_relative_information_score: -825.4016, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9678, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 1.5506, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.7915, kappa: 0.5521, kb_relative_information_score: 591.0251, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8011, predictive_accuracy: 0.7853, prior_entropy: 1.2099, recall: 0.7853, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9802, kappa: 0.9571, kb_relative_information_score: -797.9177, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9806, predictive_accuracy: 0.9803, prior_entropy: 1.2099, recall: 0.9803, relative_absolute_error: 1.5382, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.2033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9189, kappa: 0.8262, kb_relative_information_score: 1325.9649, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9328, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.0427, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9585, kappa: 0.9096, kb_relative_information_score: 1579.1258, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9589, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9408, kappa: 0.8711, kb_relative_information_score: 1497.6822, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9416, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4271,

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