Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 19084 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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19084 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.526, kappa: 0.265, kb_relative_information_score: 375.29, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5251, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.537, kappa: 0.2818, kb_relative_information_score: 371.1386, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5358, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.5283, kappa: 0.2697, kb_relative_information_score: 401.2075, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5265, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.5408, kappa: 0.2878, kb_relative_information_score: 370.5204, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5394, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.541, kappa: 0.2884, kb_relative_information_score: 372.0014, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5391, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.5396, kappa: 0.2871, kb_relative_information_score: 406.8245, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5379, predictive_accuracy: 0.5424, prior_entropy: 1.5392, recall: 0.5424, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.5408, kappa: 0.2878, kb_relative_information_score: 370.5204, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5394, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5257, kappa: 0.264, kb_relative_information_score: 387.082, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5243, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.5221, kappa: 0.2605, kb_relative_information_score: 385.3451, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.52, predictive_accuracy: 0.5261, prior_entropy: 1.5392, recall: 0.5261, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.453, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5261, kappa: 0.2643, kb_relative_information_score: 383.8961, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5249, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.5292, kappa: 0.2711, kb_relative_information_score: 369.6729, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5269, predictive_accuracy: 0.5336, prior_entropy: 1.5392, recall: 0.5336, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.5354, kappa: 0.2792, kb_relative_information_score: 370.806, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5342, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.5253, kappa: 0.2639, kb_relative_information_score: 373.4041, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5237, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.5368, kappa: 0.2832, kb_relative_information_score: 406.6259, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5354, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.5333, kappa: 0.2778, kb_relative_information_score: 403.3424, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5313, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5224, kappa: 0.2605, kb_relative_information_score: 367.7893, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5202, predictive_accuracy: 0.5261, prior_entropy: 1.5392, recall: 0.5261, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.5262, kappa: 0.2664, kb_relative_information_score: 398.1673, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5243, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.465, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.5347, kappa: 0.2789, kb_relative_information_score: 392.1009, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5325, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5275, kappa: 0.267, kb_relative_information_score: 386.6161, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.526, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.5042, kappa: 0.2335, kb_relative_information_score: 393.4893, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5024, predictive_accuracy: 0.5071, prior_entropy: 1.5392, recall: 0.5071, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.4904, kappa: 0.2133, kb_relative_information_score: 402.8094, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4884, predictive_accuracy: 0.4956, prior_entropy: 1.5392, recall: 0.4956, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.5216, kappa: 0.26, kb_relative_information_score: 385.7923, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5195, predictive_accuracy: 0.5255, prior_entropy: 1.5392, recall: 0.5255, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.5256, kappa: 0.2647, kb_relative_information_score: 373.8945, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5241, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.5355, kappa: 0.2805, kb_relative_information_score: 396.1091, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5337, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.4882, kappa: 0.2082, kb_relative_information_score: 389.705, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4861, predictive_accuracy: 0.4956, prior_entropy: 1.5392, recall: 0.4956, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.541, kappa: 0.2884, kb_relative_information_score: 372.0014, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5391, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.5274, kappa: 0.2684, kb_relative_information_score: 399.5014, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5255, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.5042, kappa: 0.2343, kb_relative_information_score: 410.5067, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5027, predictive_accuracy: 0.5098, prior_entropy: 1.5392, recall: 0.5098, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.5278, kappa: 0.2691, kb_relative_information_score: 367.8815, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5255, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.5253, kappa: 0.2639, kb_relative_information_score: 373.7118, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5237, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.5207, kappa: 0.257, kb_relative_information_score: 380.4599, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.519, predictive_accuracy: 0.5234, prior_entropy: 1.5392, recall: 0.5234, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.5052, kappa: 0.2336, kb_relative_information_score: 398.2945, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5034, predictive_accuracy: 0.5119, prior_entropy: 1.5392, recall: 0.5119, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.5253, kappa: 0.2648, kb_relative_information_score: 369.5192, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5232, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.4978, kappa: 0.2246, kb_relative_information_score: 419.4262, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4961, predictive_accuracy: 0.5024, prior_entropy: 1.5392, recall: 0.5024, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.1439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.526, kappa: 0.265, kb_relative_information_score: 376.2776, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5251, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.5241, kappa: 0.2624, kb_relative_information_score: 372.896, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5224, predictive_accuracy: 0.5268, prior_entropy: 1.5392, recall: 0.5268, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5354, kappa: 0.28, kb_relative_information_score: 393.0003, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5332, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.5285, kappa: 0.2689, kb_relative_information_score: 375.5722, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5271, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.5368, kappa: 0.2816, kb_relative_information_score: 367.5266, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5359, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.5206, kappa: 0.2574, kb_relative_information_score: 387.8376, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5182, predictive_accuracy: 0.5248, prior_entropy: 1.5392, recall: 0.5248, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.5387, kappa: 0.2857, kb_relative_information_score: 404.2393, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5371, predictive_accuracy: 0.5418, prior_entropy: 1.5392, recall: 0.5418, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.4954, kappa: 0.2189, kb_relative_information_score: 385.2128, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4934, predictive_accuracy: 0.5003, prior_entropy: 1.5392, recall: 0.5003, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.5214, kappa: 0.2593, kb_relative_information_score: 386.6986, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5192, predictive_accuracy: 0.5255, prior_entropy: 1.5392, recall: 0.5255, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.5254, kappa: 0.2645, kb_relative_information_score: 392.2192, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5237, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.5292, kappa: 0.2711, kb_relative_information_score: 369.4707, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5269, predictive_accuracy: 0.5336, prior_entropy: 1.5392, recall: 0.5336, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5257, kappa: 0.264, kb_relative_information_score: 387.1625, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5243, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.5278, kappa: 0.2691, kb_relative_information_score: 368.3138, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5255, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.5354, kappa: 0.2792, kb_relative_information_score: 370.0401, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5342, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.5332, kappa: 0.2771, kb_relative_information_score: 395.9223, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5315, predictive_accuracy: 0.5356, prior_entropy: 1.5392, recall: 0.5356, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5354, kappa: 0.2795, kb_relative_information_score: 366.0986, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5346, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.534, kappa: 0.2779, kb_relative_information_score: 392.1329, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5319, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.5354, kappa: 0.2801, kb_relative_information_score: 393.4008, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5332, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.5263, kappa: 0.2657, kb_relative_information_score: 373.9129, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5248, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.5064, kappa: 0.2353, kb_relative_information_score: 401.0755, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5046, predictive_accuracy: 0.5132, prior_entropy: 1.5392, recall: 0.5132, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.5188, kappa: 0.2527, kb_relative_information_score: 398.5283, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5176, predictive_accuracy: 0.5214, prior_entropy: 1.5392, recall: 0.5214, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.506, kappa: 0.2335, kb_relative_information_score: 391.9931, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5038, predictive_accuracy: 0.5105, prior_entropy: 1.5392, recall: 0.5105, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.5213, kappa: 0.2585, kb_relative_information_score: 389.1717, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.519, predictive_accuracy: 0.5255, prior_entropy: 1.5392, recall: 0.5255, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.5368, kappa: 0.2816, kb_relative_information_score: 367.5266, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5359, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.5098, kappa: 0.2413, kb_relative_information_score: 394.0467, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5081, predictive_accuracy: 0.5132, prior_entropy: 1.5392, recall: 0.5132, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.5354, kappa: 0.2795, kb_relative_information_score: 365.9677, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5346, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5254, kappa: 0.2642, kb_relative_information_score: 391.4428, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5236, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.5248, kappa: 0.2634, kb_relative_information_score: 374.2594, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.5249, kappa: 0.2633, kb_relative_information_score: 401.5717, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5233, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4669, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.5251, kappa: 0.2648, kb_relative_information_score: 368.1177, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.523, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5247, kappa: 0.2633, kb_relative_information_score: 391.1231, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5229, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.5264, kappa: 0.2659, kb_relative_information_score: 374.1053, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5249, predictive_accuracy: 0.5289, prior_entropy: 1.5392, recall: 0.5289, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5355, kappa: 0.2799, kb_relative_information_score: 372.9202, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5338, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.5358, kappa: 0.2805, kb_relative_information_score: 377.0247, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5338, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.5283, kappa: 0.2681, kb_relative_information_score: 386.8969, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5268, predictive_accuracy: 0.5316, prior_entropy: 1.5392, recall: 0.5316, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.5278, kappa: 0.2672, kb_relative_information_score: 388.5624, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5263, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.5111, kappa: 0.2449, kb_relative_information_score: 382.4869, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.509, predictive_accuracy: 0.516, prior_entropy: 1.5392, recall: 0.516, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.5381, kappa: 0.2848, kb_relative_information_score: 403.7825, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5365, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.5311, kappa: 0.2739, kb_relative_information_score: 393.8082, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5294, predictive_accuracy: 0.5336, prior_entropy: 1.5392, recall: 0.5336, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.5321, kappa: 0.2753, kb_relative_information_score: 389.6477, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5301, predictive_accuracy: 0.5356, prior_entropy: 1.5392, recall: 0.5356, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5122, kappa: 0.2462, kb_relative_information_score: 383.7565, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5102, predictive_accuracy: 0.5166, prior_entropy: 1.5392, recall: 0.5166, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.5354, kappa: 0.2795, kb_relative_information_score: 365.8338, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5346, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.541, kappa: 0.2884, kb_relative_information_score: 372.0014, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5391, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.5206, kappa: 0.2574, kb_relative_information_score: 387.8812, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5182, predictive_accuracy: 0.5248, prior_entropy: 1.5392, recall: 0.5248, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.5358, kappa: 0.2805, kb_relative_information_score: 376.7119, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5338, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.4952, kappa: 0.2193, kb_relative_information_score: 385.4735, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4933, predictive_accuracy: 0.4997, prior_entropy: 1.5392, recall: 0.4997, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.0492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.5283, kappa: 0.2696, kb_relative_information_score: 399.4016, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5264, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.5224, kappa: 0.2605, kb_relative_information_score: 367.5817, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5202, predictive_accuracy: 0.5261, prior_entropy: 1.5392, recall: 0.5261, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.522, kappa: 0.2603, kb_relative_information_score: 386.747, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5198, predictive_accuracy: 0.5261, prior_entropy: 1.5392, recall: 0.5261, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.516, kappa: 0.2533, kb_relative_information_score: 385.9656, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5139, predictive_accuracy: 0.5214, prior_entropy: 1.5392, recall: 0.5214, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.525, kappa: 0.264, kb_relative_information_score: 373.3014, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5236, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.5344, kappa: 0.2788, kb_relative_information_score: 395.5249, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5326, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.5051, kappa: 0.2338, kb_relative_information_score: 391.6771, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5028, predictive_accuracy: 0.5085, prior_entropy: 1.5392, recall: 0.5085, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.5208, kappa: 0.2571, kb_relative_information_score: 380.3584, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5191, predictive_accuracy: 0.5234, prior_entropy: 1.5392, recall: 0.5234, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.5285, kappa: 0.2701, kb_relative_information_score: 369.3294, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5262, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5355, kappa: 0.2799, kb_relative_information_score: 373.2329, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5338, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.513, kappa: 0.2486, kb_relative_information_score: 385.4456, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5109, predictive_accuracy: 0.5187, prior_entropy: 1.5392, recall: 0.5187, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.5301, kappa: 0.2714, kb_relative_information_score: 375.3317, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5287, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.5071, kappa: 0.2362, kb_relative_information_score: 387.9525, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5049, predictive_accuracy: 0.5112, prior_entropy: 1.5392, recall: 0.5112, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4868, kappa: 0.2059, kb_relative_information_score: 394.6102, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4844, predictive_accuracy: 0.4915, prior_entropy: 1.5392, recall: 0.4915, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.491, root_relative_squared_error: 1.0578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.5397, kappa: 0.2876, kb_relative_information_score: 407.9055, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5383, predictive_accuracy: 0.5418, prior_entropy: 1.5392, recall: 0.5418, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.5354, kappa: 0.2795, kb_relative_information_score: 365.8338, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5346, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.5348, kappa: 0.2794, kb_relative_information_score: 395.2596, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5329, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.4978, kappa: 0.2235, kb_relative_information_score: 388.4916, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4958, predictive_accuracy: 0.5031, prior_entropy: 1.5392, recall: 0.5031, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4862, root_relative_squared_error: 1.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.5301, kappa: 0.2714, kb_relative_information_score: 375.9048, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5287, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.5421, kappa: 0.291, kb_relative_information_score: 406.8186, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5407, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9784,

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