OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, kb_relative_information_score: 19.6239, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2474, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.654, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.7263, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.3671, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2401, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5479, kappa: 0.1145, kb_relative_information_score: 9.6016, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5817, predictive_accuracy: 0.586, prior_entropy: 0.991, recall: 0.586, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6559, kappa: 0.31, kb_relative_information_score: 38.9995, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.68, predictive_accuracy: 0.672, prior_entropy: 0.991, recall: 0.672, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.5762, kappa: 0.1394, kb_relative_information_score: 64.4791, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5754, predictive_accuracy: 0.578, prior_entropy: 0.991, recall: 0.578, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.1505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 331.456, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8964, predictive_accuracy: 0.892, prior_entropy: 0.991, recall: 0.892, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.5698, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 453.7976, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.2191, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 467.9983, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 453.2262, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9541, kappa: 0.9071, kb_relative_information_score: 409.5374, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9545, predictive_accuracy: 0.954, prior_entropy: 0.991, recall: 0.954, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.4796, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 447.3088, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 456.3802, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.7695, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.2306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 457.894, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.2966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9541, kappa: 0.9071, kb_relative_information_score: 385.2393, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9545, predictive_accuracy: 0.954, prior_entropy: 0.991, recall: 0.954, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.002, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 451.3836, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9461, kappa: 0.8912, kb_relative_information_score: 408.9014, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9471, predictive_accuracy: 0.946, prior_entropy: 0.991, recall: 0.946, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 462.2201, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2947, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 453.0256, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.3069, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.7406, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2315, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.944, kappa: 0.8865, kb_relative_information_score: 399.9708, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.79, kappa: 0.6014, kb_relative_information_score: 312.4394, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8593, predictive_accuracy: 0.794, prior_entropy: 0.991, recall: 0.794, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.942, kappa: 0.8825, kb_relative_information_score: 396.2717, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.991, recall: 0.942, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.7099, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.3066, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8504, kappa: 0.6988, kb_relative_information_score: 326.1497, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8533, predictive_accuracy: 0.85, prior_entropy: 0.991, recall: 0.85, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, kb_relative_information_score: 24.1449, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.1984, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.7654, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 457.291, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -0.0329, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2891, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.648, kappa: 0.2848, kb_relative_information_score: 109.0483, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6493, predictive_accuracy: 0.652, prior_entropy: 0.991, recall: 0.652, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2546, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.6091, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.6286, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 458.4413, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.2844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2265, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 452.0656, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.1915, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.3924, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.0076, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9581, kappa: 0.9154, kb_relative_information_score: 417.19, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9591, predictive_accuracy: 0.958, prior_entropy: 0.991, recall: 0.958, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.976, kappa: 0.9513, kb_relative_information_score: 395.2423, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.6548, kappa: 0.3033, kb_relative_information_score: 131.73, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6564, predictive_accuracy: 0.654, prior_entropy: 0.991, recall: 0.654, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 453.9802, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 465.6354, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.5223, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 471.8894, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3814, f_measure: 0.4275, kappa: -0.1631, kb_relative_information_score: -63.0521, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.425, predictive_accuracy: 0.432, prior_entropy: 0.991, recall: 0.432, relative_absolute_error: 1.1154, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6233, root_relative_squared_error: 1.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.5655, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2322, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.4116, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.9753, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.8056, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.234, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.4287, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 451.51, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9699, kappa: 0.939, kb_relative_information_score: 293.6673, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 451.958, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 443.475, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2277, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9481, kappa: 0.8952, kb_relative_information_score: 418.8055, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9493, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 455.709, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 467.6811, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 470.7834, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.5618, kappa: 0.164, kb_relative_information_score: 36.7033, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6376, predictive_accuracy: 0.614, prior_entropy: 0.991, recall: 0.614, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.958, kappa: 0.915, kb_relative_information_score: 403.8789, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9581, predictive_accuracy: 0.958, prior_entropy: 0.991, recall: 0.958, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9417, kappa: 0.8816, kb_relative_information_score: 262.8435, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9437, predictive_accuracy: 0.942, prior_entropy: 0.991, recall: 0.942, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.976, kappa: 0.9515, kb_relative_information_score: 395.7362, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9763, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.4684, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2095, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.4607, kappa: 0.0635, kb_relative_information_score: 30.9587, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6726, predictive_accuracy: 0.58, prior_entropy: 0.991, recall: 0.58, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.968, kappa: 0.9351, kb_relative_information_score: 433.3432, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9741, kappa: 0.9476, kb_relative_information_score: 442.3217, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9751, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.7943, kappa: 0.6088, kb_relative_information_score: 315.2477, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8612, predictive_accuracy: 0.798, prior_entropy: 0.991, recall: 0.798, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2907, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.4092, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.944, kappa: 0.8866, kb_relative_information_score: 395.0868, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2531, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2185,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs