OpenML
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 24607 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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24607 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 630.0322, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3338, scimark_benchmark: 949.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9589, kappa: 0.9102, kb_relative_information_score: 631.7756, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4285, scimark_benchmark: 934.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9686, kappa: 0.9309, kb_relative_information_score: 647.928, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.969, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733, scimark_benchmark: 947.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9516, kappa: 0.8936, kb_relative_information_score: 605.1372, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9525, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4331, scimark_benchmark: 947.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 890.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9439, kappa: 0.8752, kb_relative_information_score: 608.7008, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497, scimark_benchmark: 938.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9701, kappa: 0.9341, kb_relative_information_score: 650.2354, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9706, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3647, scimark_benchmark: 944.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 609.8241, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3551, scimark_benchmark: 945.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9441, kappa: 0.8759, kb_relative_information_score: 600.2457, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.403, scimark_benchmark: 902.1244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9672, kappa: 0.9277, kb_relative_information_score: 645.6205, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816, scimark_benchmark: 878.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8771, kappa: 0.7435, kb_relative_information_score: 495.6343, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9078, predictive_accuracy: 0.8741, prior_entropy: 0.9297, recall: 0.8741, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7465, scimark_benchmark: 949.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9627, kappa: 0.9172, kb_relative_information_score: 638.698, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058, scimark_benchmark: 924.2893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9714, kappa: 0.9369, kb_relative_information_score: 635.8249, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9716, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.164, root_relative_squared_error: 0.345, scimark_benchmark: 917.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9627, kappa: 0.9173, kb_relative_information_score: 620.9059, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3506, scimark_benchmark: 945.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 641.0055, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979, scimark_benchmark: 943.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 627.3706, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9659, kappa: 0.9249, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9667, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899, scimark_benchmark: 946.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9357, kappa: 0.8577, kb_relative_information_score: 557.6105, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9357, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4907, scimark_benchmark: 937.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.97, kappa: 0.9336, kb_relative_information_score: 635.7271, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.326, scimark_benchmark: 920.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 627.2841, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3335, scimark_benchmark: 923.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 924.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9585, kappa: 0.9081, kb_relative_information_score: 618.2658, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5187, kb_relative_information_score: 142.5898, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.2354, scimark_benchmark: 948.1814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9369, kappa: 0.8601, kb_relative_information_score: 590.7786, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9369, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5001, scimark_benchmark: 947.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9499, kappa: 0.8891, kb_relative_information_score: 594.3379, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4421, scimark_benchmark: 945.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9555, kappa: 0.9014, kb_relative_information_score: 627.1606, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9555, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4431, scimark_benchmark: 945.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 626.5977, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4064, scimark_benchmark: 940.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 596.1506, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3641, scimark_benchmark: 947.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 592.5191, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3737, scimark_benchmark: 946.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 596.5467, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3642, scimark_benchmark: 947.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899, scimark_benchmark: 945.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 946.0563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9251, kappa: 0.8368, kb_relative_information_score: 510.3539, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9293, predictive_accuracy: 0.9242, prior_entropy: 0.9297, recall: 0.9242, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5434, scimark_benchmark: 890.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9456, kappa: 0.8794, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9147, kappa: 0.8096, kb_relative_information_score: 562.5512, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9154, predictive_accuracy: 0.9156, prior_entropy: 0.9297, recall: 0.9156, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6113, scimark_benchmark: 922.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9515, kappa: 0.893, kb_relative_information_score: 604.4381, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9518, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4507, scimark_benchmark: 949.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9525, kappa: 0.8942, kb_relative_information_score: 622.5457, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9529, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4571, scimark_benchmark: 945.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8841, kappa: 0.757, kb_relative_information_score: 507.1717, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9117, predictive_accuracy: 0.8813, prior_entropy: 0.9297, recall: 0.8813, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.725, scimark_benchmark: 946.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.94, kappa: 0.8675, kb_relative_information_score: 555.4419, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9402, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4887, scimark_benchmark: 917.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9612, kappa: 0.9137, kb_relative_information_score: 636.3906, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4135, scimark_benchmark: 948.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9388, kappa: 0.8653, kb_relative_information_score: 575.6067, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.492, scimark_benchmark: 947.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9686, kappa: 0.9309, kb_relative_information_score: 647.928, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.969, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733, scimark_benchmark: 948.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 625.2564, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4098, scimark_benchmark: 947.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 574.1488, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4235, scimark_benchmark: 943.2719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9369, kappa: 0.8601, kb_relative_information_score: 590.7786, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9369, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5001, scimark_benchmark: 920.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9631, kappa: 0.9191, kb_relative_information_score: 638.698, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9648, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058, scimark_benchmark: 946.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -0.1304, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 1958.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 626.2672, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3482, scimark_benchmark: 2009.7967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 595.6603, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3747, scimark_benchmark: 2014.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9327, kappa: 0.8507, kb_relative_information_score: 587.6449, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5467, scimark_benchmark: 2004.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9701, kappa: 0.9342, kb_relative_information_score: 649.9413, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9708, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.354, scimark_benchmark: 1978.2045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9513, kappa: 0.8919, kb_relative_information_score: 605.6027, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4177, scimark_benchmark: 2004.0877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899, scimark_benchmark: 2013.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9515, kappa: 0.893, kb_relative_information_score: 590.2138, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9518, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4414, scimark_benchmark: 1977.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9147, kappa: 0.8096, kb_relative_information_score: 562.5512, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9154, predictive_accuracy: 0.9156, prior_entropy: 0.9297, recall: 0.9156, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6113, scimark_benchmark: 1975.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.706, kappa: 0.3477, kb_relative_information_score: 0.323, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7053, predictive_accuracy: 0.7067, prior_entropy: 0.9293, recall: 0.7067, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.1394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 637.9744, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3843, scimark_benchmark: 947.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 636.1561, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4076, scimark_benchmark: 930.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 640.1159, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3905, scimark_benchmark: 467.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 626.0122, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3779, scimark_benchmark: 946.4219,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9327, kappa: 0.8507, kb_relative_information_score: 587.6449, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5467, scimark_benchmark: 927.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 637.7984, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3971, scimark_benchmark: 931.4588,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9486, kappa: 0.8865, kb_relative_information_score: 591.8876, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9488, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4543, scimark_benchmark: 591.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 630.5381, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4127, scimark_benchmark: 942.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 632.2789, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4186, scimark_benchmark: 943.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9658, kappa: 0.9245, kb_relative_information_score: 608.5105, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3578, scimark_benchmark: 942.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 633.3564, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3905, scimark_benchmark: 919.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 615.338, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.396, scimark_benchmark: 948.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 946.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9672, kappa: 0.9277, kb_relative_information_score: 645.6205, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816, scimark_benchmark: 946.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 631.1572, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.403, scimark_benchmark: 930.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9628, kappa: 0.9175, kb_relative_information_score: 628.3624, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3861, scimark_benchmark: 919.9802,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9443, kappa: 0.8771, kb_relative_information_score: 599.9492, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9446, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4574, scimark_benchmark: 945.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.7937, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.388, scimark_benchmark: 941.0815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 626.0122, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3779, scimark_benchmark: 941.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9341, kappa: 0.8541, kb_relative_information_score: 592.4878, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9341, predictive_accuracy: 0.9342, prior_entropy: 0.9297, recall: 0.9342, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5342, scimark_benchmark: 927.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9529, kappa: 0.896, kb_relative_information_score: 623.2473, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9531, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4418, scimark_benchmark: 887.9346,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 615.338, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 626.5977, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4064, scimark_benchmark: 574.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9557, kappa: 0.9019, kb_relative_information_score: 623.6732, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3955, scimark_benchmark: 894.6818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9615, kappa: 0.9151, kb_relative_information_score: 636.2681, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9618, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9645, kappa: 0.922, kb_relative_information_score: 610.3111, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3705, scimark_benchmark: 944.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9513, kappa: 0.8919, kb_relative_information_score: 615.6634, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4346, scimark_benchmark: 597.6899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9601, kappa: 0.912, kb_relative_information_score: 545.7126, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9605, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4121, scimark_benchmark: 943.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9601, kappa: 0.9119, kb_relative_information_score: 632.5596, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9603, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3961, scimark_benchmark: 894.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9513, kappa: 0.8921, kb_relative_information_score: 608.2088, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9513, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3994, scimark_benchmark: 597.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 644.5308, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3802, scimark_benchmark: 943.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9571, kappa: 0.9052, kb_relative_information_score: 631.0917, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.409, scimark_benchmark: 917.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 630.7425, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4162, scimark_benchmark: 908.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9701, kappa: 0.934, kb_relative_information_score: 615.9719, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3439, scimark_benchmark: 919.1939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 639.8134, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3977, scimark_benchmark: 908.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.97, kappa: 0.9337, kb_relative_information_score: 612.3799, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3497, scimark_benchmark: 939.8228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9381, kappa: 0.8665, kb_relative_information_score: 597.1634, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9468, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5279, scimark_benchmark: 916.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.947, kappa: 0.8827, kb_relative_information_score: 597.9515, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4556, scimark_benchmark: 942.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -0.1304, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 1913.8221,

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