Task
Supervised Classification on auto_price

Supervised Classification on auto_price

Task 3611 Supervised Classification auto_price 522 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 136.7208, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 135.8963, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.931, kappa: 0.8465, kb_relative_information_score: 125.9526, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9312, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9313, kappa: 0.8478, kb_relative_information_score: 133.1158, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9324, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 135.6679, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 139.7764, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 142.8813, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 135.3248, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 135.2823, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 135.863, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.4431, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 134.3483, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9299, kappa: 0.8422, kb_relative_information_score: 128.7725, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9312, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9874, kappa: 0.972, kb_relative_information_score: 151.1022, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9264, recall: 0.9874, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.2675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9624, kappa: 0.9166, kb_relative_information_score: 144.9539, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.507, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9554, kappa: 0.8996, kb_relative_information_score: 144.2716, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.957, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9376, kappa: 0.8623, kb_relative_information_score: 133.8683, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9394, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9167, kappa: 0.8118, kb_relative_information_score: 113.4158, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9194, predictive_accuracy: 0.9182, prior_entropy: 0.9264, recall: 0.9182, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9427, kappa: 0.8709, kb_relative_information_score: 137.5292, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9441, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 138.3377, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9557, kappa: 0.9005, kb_relative_information_score: 133.2248, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -0.3177, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8911, kappa: 0.7539, kb_relative_information_score: 122.137, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8931, predictive_accuracy: 0.8931, prior_entropy: 0.9264, recall: 0.8931, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9111, kappa: 0.8001, kb_relative_information_score: 123.2741, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9115, predictive_accuracy: 0.912, prior_entropy: 0.9264, recall: 0.912, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9295, kappa: 0.8408, kb_relative_information_score: 131.0847, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9325, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9435, kappa: 0.8744, kb_relative_information_score: 136.9185, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 143.0561, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 136.8324, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9368, kappa: 0.8585, kb_relative_information_score: 135.4395, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 135.585, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 141.7907, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 145.0508, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9489, kappa: 0.8847, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9513, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 136.3503, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.568, f_measure: 0.5802, kappa: 0.0956, kb_relative_information_score: 9.4504, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.787, predictive_accuracy: 0.6855, prior_entropy: 0.9264, recall: 0.6855, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 141.9675, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5253, kb_relative_information_score: 33.1976, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2306, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5253, kb_relative_information_score: 33.1976, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2306, scimark_benchmark: 1336.0122, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 1647.1132, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 137.7479, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4417, scimark_benchmark: 1908.2191, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 141.2839, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4232, scimark_benchmark: 1908.2191, usercpu_time_millis: 703.125, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9371, kappa: 0.8598, kb_relative_information_score: 135.4395, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9371, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5295, scimark_benchmark: 1827.4462, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, scimark_benchmark: 1827.4462, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 141.356, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4059, scimark_benchmark: 1444.1545, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 142.203, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3342, scimark_benchmark: 1871.4229, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 136.3503, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4738, scimark_benchmark: 1307.5944, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 139.0589, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4228, scimark_benchmark: 1180.7943, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9365, kappa: 0.8572, kb_relative_information_score: 135.3185, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9372, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5274, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.9303, kappa: 0.8437, kb_relative_information_score: 131.6667, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9306, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5517, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.5929, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3013, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 134.0725, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.501, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 129.1561, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4928, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 141.6423, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3171, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.4431, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4627, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 136.3503, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4738, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 138.9429, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4216, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9365, kappa: 0.8572, kb_relative_information_score: 135.3172, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9372, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5274, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.9303, kappa: 0.8437, kb_relative_information_score: 131.6667, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9306, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5517, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.5929, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3013, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.5984, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4421, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 129.1561, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4928, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 141.5511, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3154, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.4431, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4627, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9365, kappa: 0.8572, kb_relative_information_score: 135.3191, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9372, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5274, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.5929, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3013, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 139.2665, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4106, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9748, kappa: 0.9439, kb_relative_information_score: 149.5954, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3224, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.7142, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4421, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9188, kappa: 0.8202, kb_relative_information_score: 127.8128, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.92, predictive_accuracy: 0.9182, prior_entropy: 0.9264, recall: 0.9182, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.25, root_relative_squared_error: 0.528, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 138.6224, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4773, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9554, kappa: 0.8996, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.957, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, scimark_benchmark: 1341.5424, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9365, kappa: 0.8572, kb_relative_information_score: 135.3191, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9372, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5274, scimark_benchmark: 1102.3379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 135.863, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4703, scimark_benchmark: 1099.7978, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9167, kappa: 0.8118, kb_relative_information_score: 127.7894, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9194, predictive_accuracy: 0.9182, prior_entropy: 0.9264, recall: 0.9182, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4531, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9361, kappa: 0.8559, kb_relative_information_score: 139.0501, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9383, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4322, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9286, kappa: 0.8377, kb_relative_information_score: 131.7741, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9374, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4637, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8972, kappa: 0.7673, kb_relative_information_score: 98.0081, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9003, predictive_accuracy: 0.8994, prior_entropy: 0.9264, recall: 0.8994, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.6085, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9361, kappa: 0.8559, kb_relative_information_score: 131.3332, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9383, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4526, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8978, kappa: 0.7694, kb_relative_information_score: 116.2625, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8992, predictive_accuracy: 0.8994, prior_entropy: 0.9264, recall: 0.8994, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5402, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.593, kappa: 0.1188, kb_relative_information_score: 44.816, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7899, predictive_accuracy: 0.6918, prior_entropy: 0.9264, recall: 0.6918, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5551, root_relative_squared_error: 1.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.8654, kappa: 0.6919, kb_relative_information_score: 112.2027, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8943, predictive_accuracy: 0.8742, prior_entropy: 0.9264, recall: 0.8742, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5253, kb_relative_information_score: 33.1976, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736, scimark_benchmark: 1779.392,

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