Task
Supervised Classification on eating

Supervised Classification on eating

Task 7307 Supervised Classification eating 260 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.4081, kappa: 0.3252, kb_relative_information_score: 354.5362, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4021, predictive_accuracy: 0.4222, prior_entropy: 2.8053, recall: 0.4222, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.1589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.4026, kappa: 0.3203, kb_relative_information_score: 349.5419, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3946, predictive_accuracy: 0.418, prior_entropy: 2.8053, recall: 0.418, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.1642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.2329, kappa: 0.106, kb_relative_information_score: 162.9885, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2328, predictive_accuracy: 0.2349, prior_entropy: 2.8053, recall: 0.2349, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4675, root_relative_squared_error: 1.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.4081, kappa: 0.3252, kb_relative_information_score: 354.5362, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4021, predictive_accuracy: 0.4222, prior_entropy: 2.8053, recall: 0.4222, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.1589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.2329, kappa: 0.106, kb_relative_information_score: 162.9885, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2328, predictive_accuracy: 0.2349, prior_entropy: 2.8053, recall: 0.2349, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4675, root_relative_squared_error: 1.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.4026, kappa: 0.3203, kb_relative_information_score: 349.5419, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3946, predictive_accuracy: 0.418, prior_entropy: 2.8053, recall: 0.418, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.1642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.3917, kappa: 0.3026, kb_relative_information_score: 298.1684, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3907, predictive_accuracy: 0.4032, prior_entropy: 2.8053, recall: 0.4032, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.2552, kappa: 0.2422, kb_relative_information_score: 147.4061, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4184, predictive_accuracy: 0.3545, prior_entropy: 2.8053, recall: 0.3545, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.4298, kappa: 0.3502, kb_relative_information_score: 328.7738, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.427, predictive_accuracy: 0.4434, prior_entropy: 2.8053, recall: 0.4434, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.3703, kappa: 0.256, kb_relative_information_score: 283.7577, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3886, predictive_accuracy: 0.363, prior_entropy: 2.8053, recall: 0.363, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3877, root_relative_squared_error: 1.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.445, kappa: 0.3574, kb_relative_information_score: 325.4509, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4437, predictive_accuracy: 0.4497, prior_entropy: 2.8053, recall: 0.4497, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.4231, kappa: 0.3364, kb_relative_information_score: 332.8352, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4166, predictive_accuracy: 0.4317, prior_entropy: 2.8053, recall: 0.4317, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.4817, kappa: 0.4356, kb_relative_information_score: 235.2862, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4821, predictive_accuracy: 0.5185, prior_entropy: 2.8053, recall: 0.5185, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.4341, kappa: 0.3611, kb_relative_information_score: 387.8961, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4285, predictive_accuracy: 0.4529, prior_entropy: 2.8053, recall: 0.4529, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.4163, kappa: 0.3325, kb_relative_information_score: 379.8893, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4117, predictive_accuracy: 0.4286, prior_entropy: 2.8053, recall: 0.4286, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.365, kappa: 0.2636, kb_relative_information_score: 306.6931, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3617, predictive_accuracy: 0.3693, prior_entropy: 2.8053, recall: 0.3693, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.2441, kappa: 0.1261, kb_relative_information_score: 180.249, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2413, predictive_accuracy: 0.2519, prior_entropy: 2.8053, recall: 0.2519, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4623, root_relative_squared_error: 1.3216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.3084, kappa: 0.1891, kb_relative_information_score: 235.3196, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3144, predictive_accuracy: 0.3048, prior_entropy: 2.8053, recall: 0.3048, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4457, root_relative_squared_error: 1.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.316, kappa: 0.1898, kb_relative_information_score: 265.9498, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3301, predictive_accuracy: 0.3058, prior_entropy: 2.8053, recall: 0.3058, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3786, root_relative_squared_error: 1.0823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.6057, kappa: 0.5456, kb_relative_information_score: 552.3708, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6033, predictive_accuracy: 0.6106, prior_entropy: 2.8053, recall: 0.6106, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.291, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.5133, kappa: 0.4591, kb_relative_information_score: 258.4122, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5212, predictive_accuracy: 0.5376, prior_entropy: 2.8053, recall: 0.5376, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.3935, kappa: 0.2949, kb_relative_information_score: 281.7601, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3954, predictive_accuracy: 0.3968, prior_entropy: 2.8053, recall: 0.3968, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.3468, kappa: 0.2389, kb_relative_information_score: 280.2286, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3457, predictive_accuracy: 0.3481, prior_entropy: 2.8053, recall: 0.3481, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.0382, kb_relative_information_score: 0.2822, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3498, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.5625, kappa: 0.4927, kb_relative_information_score: 255.525, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5747, predictive_accuracy: 0.5661, prior_entropy: 2.8053, recall: 0.5661, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.433, kappa: 0.3442, kb_relative_information_score: 362.7034, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4296, predictive_accuracy: 0.4381, prior_entropy: 2.8053, recall: 0.4381, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.3522, kappa: 0.2419, kb_relative_information_score: 199.261, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3619, predictive_accuracy: 0.3513, prior_entropy: 2.8053, recall: 0.3513, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.1499, kappa: 0.1081, kb_relative_information_score: 122.3069, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1547, predictive_accuracy: 0.2402, prior_entropy: 2.8053, recall: 0.2402, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.3108, kappa: 0.185, kb_relative_information_score: 230.6865, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3246, predictive_accuracy: 0.3016, prior_entropy: 2.8053, recall: 0.3016, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4467, root_relative_squared_error: 1.2769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.3753, kappa: 0.2771, kb_relative_information_score: 295.1332, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.373, predictive_accuracy: 0.381, prior_entropy: 2.8053, recall: 0.381, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.2864, kappa: 0.1652, kb_relative_information_score: 213.7404, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2893, predictive_accuracy: 0.2847, prior_entropy: 2.8053, recall: 0.2847, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.4625, kappa: 0.3791, kb_relative_information_score: 402.8305, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4683, predictive_accuracy: 0.4677, prior_entropy: 2.8053, recall: 0.4677, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3866, root_relative_squared_error: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.3592, kappa: 0.2539, kb_relative_information_score: 265.7083, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3589, predictive_accuracy: 0.3608, prior_entropy: 2.8053, recall: 0.3608, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3572, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.3867, kappa: 0.318, kb_relative_information_score: 9.6588, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4464, predictive_accuracy: 0.4169, prior_entropy: 2.8053, recall: 0.4169, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0382, kb_relative_information_score: 73.8824, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.0382, kb_relative_information_score: 0.2822, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3498, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.4081, kappa: 0.3252, kb_relative_information_score: 354.5362, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4021, predictive_accuracy: 0.4222, prior_entropy: 2.8053, recall: 0.4222, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.1589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.3954, kappa: 0.2873, kb_relative_information_score: 320.4398, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4036, predictive_accuracy: 0.3894, prior_entropy: 2.8053, recall: 0.3894, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.1939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0382, kb_relative_information_score: 73.8824, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.3792, kappa: 0.2778, kb_relative_information_score: 320.5488, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3787, predictive_accuracy: 0.381, prior_entropy: 2.8053, recall: 0.381, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3691, root_relative_squared_error: 1.0551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0382, kb_relative_information_score: 7.9162, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3499, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.3108, kappa: 0.185, kb_relative_information_score: 230.0535, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3246, predictive_accuracy: 0.3016, prior_entropy: 2.8053, recall: 0.3016, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.2717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.3794, kappa: 0.2809, kb_relative_information_score: 321.3972, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.376, predictive_accuracy: 0.3841, prior_entropy: 2.8053, recall: 0.3841, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.39, root_relative_squared_error: 1.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.4209, kappa: 0.3514, kb_relative_information_score: 193.6734, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4135, predictive_accuracy: 0.4455, prior_entropy: 2.8053, recall: 0.4455, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.485, kappa: 0.3979, kb_relative_information_score: 334.115, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4917, predictive_accuracy: 0.4847, prior_entropy: 2.8053, recall: 0.4847, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.3895, kappa: 0.329, kb_relative_information_score: 10.2605, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4872, predictive_accuracy: 0.4265, prior_entropy: 2.8053, recall: 0.4265, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.5464, kappa: 0.4528, kb_relative_information_score: 453.0539, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6277, predictive_accuracy: 0.5323, prior_entropy: 2.8053, recall: 0.5323, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.4137, kappa: 0.3288, kb_relative_information_score: 384.1378, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4101, predictive_accuracy: 0.4254, prior_entropy: 2.8053, recall: 0.4254, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.1484, kappa: 0.1217, kb_relative_information_score: 126.9175, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2687, predictive_accuracy: 0.2519, prior_entropy: 2.8053, recall: 0.2519, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.3737, kappa: 0.2775, kb_relative_information_score: 296.7207, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3722, predictive_accuracy: 0.382, prior_entropy: 2.8053, recall: 0.382, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.3678, kappa: 0.2682, kb_relative_information_score: 269.0971, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3669, predictive_accuracy: 0.3735, prior_entropy: 2.8053, recall: 0.3735, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.6229, kappa: 0.5601, kb_relative_information_score: 270.0095, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6246, predictive_accuracy: 0.6233, prior_entropy: 2.8053, recall: 0.6233, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.4086, kappa: 0.3139, kb_relative_information_score: 327.1762, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4077, predictive_accuracy: 0.4127, prior_entropy: 2.8053, recall: 0.4127, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.6479, kappa: 0.5825, kb_relative_information_score: 589.6881, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6549, predictive_accuracy: 0.6423, prior_entropy: 2.8053, recall: 0.6423, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.3953, kappa: 0.2997, kb_relative_information_score: 334.5129, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3923, predictive_accuracy: 0.4, prior_entropy: 2.8053, recall: 0.4, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.3935, kappa: 0.2995, kb_relative_information_score: 322.4908, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3913, predictive_accuracy: 0.4, prior_entropy: 2.8053, recall: 0.4, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.3754, kappa: 0.289, kb_relative_information_score: 298.4548, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3666, predictive_accuracy: 0.3915, prior_entropy: 2.8053, recall: 0.3915, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.2824, kappa: 0.1796, kb_relative_information_score: 219.1786, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2812, predictive_accuracy: 0.2984, prior_entropy: 2.8053, recall: 0.2984, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.372, kappa: 0.2858, kb_relative_information_score: 303.9699, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3661, predictive_accuracy: 0.3884, prior_entropy: 2.8053, recall: 0.3884, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.3738, kappa: 0.2711, kb_relative_information_score: 309.729, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3733, predictive_accuracy: 0.3757, prior_entropy: 2.8053, recall: 0.3757, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.1445, scimark_benchmark: 940.3347, usercpu_time_millis: 9190, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 9030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.3738, kappa: 0.2711, kb_relative_information_score: 309.729, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3733, predictive_accuracy: 0.3757, prior_entropy: 2.8053, recall: 0.3757, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.1445, scimark_benchmark: 1322.3407, usercpu_time_millis: 6680, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 6470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.4298, kappa: 0.3502, kb_relative_information_score: 328.7738, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.427, predictive_accuracy: 0.4434, prior_entropy: 2.8053, recall: 0.4434, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.8952, scimark_benchmark: 934.3687, usercpu_time_millis: 227520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 227500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.3738, kappa: 0.2711, kb_relative_information_score: 309.729, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3733, predictive_accuracy: 0.3757, prior_entropy: 2.8053, recall: 0.3757, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.1445, scimark_benchmark: 915.9028, usercpu_time_millis: 10090, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 9890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.431, kappa: 0.3438, kb_relative_information_score: 302.4236, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4262, predictive_accuracy: 0.4381, prior_entropy: 2.8053, recall: 0.4381, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.8922, scimark_benchmark: 929.0296, usercpu_time_millis: 3004590, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 3004430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.5013, kappa: 0.4196, kb_relative_information_score: 393.1635, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5009, predictive_accuracy: 0.5026, prior_entropy: 2.8053, recall: 0.5026, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.8552, scimark_benchmark: 922.8232, usercpu_time_millis: 361880, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 361780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0382, kb_relative_information_score: 73.8824, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.4102, scimark_benchmark: 938.3115, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.5173, kappa: 0.4451, kb_relative_information_score: 359.6834, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5131, predictive_accuracy: 0.5249, prior_entropy: 2.8053, recall: 0.5249, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.8444, scimark_benchmark: 941.8684, usercpu_time_millis: 3414600, usercpu_time_millis_testing: 1248080, usercpu_time_millis_training: 2166520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 936.1714, usercpu_time_millis: 2020, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.0382, kb_relative_information_score: 0.2822, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3498, root_relative_squared_error: 1, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.4661, kappa: 0.3836, kb_relative_information_score: 347.3585, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4619, predictive_accuracy: 0.472, prior_entropy: 2.8053, recall: 0.472, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.8765, scimark_benchmark: 939.7241, usercpu_time_millis: 1822840, usercpu_time_millis_testing: 691420, usercpu_time_millis_training: 1131420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.4298, kappa: 0.3502, kb_relative_information_score: 328.7738, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.427, predictive_accuracy: 0.4434, prior_entropy: 2.8053, recall: 0.4434, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.8952, scimark_benchmark: 936.2574, usercpu_time_millis: 218560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 218550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 929.0296, usercpu_time_millis: 2000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 936.1714, usercpu_time_millis: 1880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.5191, kappa: 0.4342, kb_relative_information_score: 438.0489, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5325, predictive_accuracy: 0.5153, prior_entropy: 2.8053, recall: 0.5153, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.8656, scimark_benchmark: 1129.1565, usercpu_time_millis: 2366500, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 2364370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.4056, kappa: 0.3007, kb_relative_information_score: 283.4334, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.428, predictive_accuracy: 0.4021, prior_entropy: 2.8053, recall: 0.4021, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.319, root_relative_squared_error: 0.912, scimark_benchmark: 1366.4954, usercpu_time_millis: 66350, usercpu_time_millis_testing: 66350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.6739, kappa: 0.6157, kb_relative_information_score: 279.3887, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6779, predictive_accuracy: 0.6709, prior_entropy: 2.8053, recall: 0.6709, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.8977, scimark_benchmark: 483.302, usercpu_time_millis: 13020, usercpu_time_millis_testing: 3580, usercpu_time_millis_training: 9440,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 756.2056, usercpu_time_millis: 2200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.5153, kappa: 0.4282, kb_relative_information_score: 442.3745, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5259, predictive_accuracy: 0.5101, prior_entropy: 2.8053, recall: 0.5101, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0651, scimark_benchmark: 408.5826, usercpu_time_millis: 3424490, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 3423400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.5054, kappa: 0.4389, kb_relative_information_score: 469.1612, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5199, predictive_accuracy: 0.5185, prior_entropy: 2.8053, recall: 0.5185, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0083, scimark_benchmark: 941.2148, usercpu_time_millis: 2732480, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 2732100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.3765, kappa: 0.266, kb_relative_information_score: 290.2109, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.401, predictive_accuracy: 0.3725, prior_entropy: 2.8053, recall: 0.3725, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.956, scimark_benchmark: 1099.1067, usercpu_time_millis: 76410, usercpu_time_millis_testing: 76410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.5717, kappa: 0.508, kb_relative_information_score: 374.958, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5699, predictive_accuracy: 0.5788, prior_entropy: 2.8053, recall: 0.5788, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.8214, scimark_benchmark: 1126.9754, usercpu_time_millis: 2337190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2337080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.3108, kappa: 0.185, kb_relative_information_score: 230.0535, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3246, predictive_accuracy: 0.3016, prior_entropy: 2.8053, recall: 0.3016, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.2717, scimark_benchmark: 1056.5553, usercpu_time_millis: 45360, usercpu_time_millis_testing: 45360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.3753, kappa: 0.2771, kb_relative_information_score: 295.1332, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.373, predictive_accuracy: 0.381, prior_entropy: 2.8053, recall: 0.381, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.9727, scimark_benchmark: 1135.0707, usercpu_time_millis: 6070, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.3626, kappa: 0.2482, kb_relative_information_score: 284.1972, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3748, predictive_accuracy: 0.3556, prior_entropy: 2.8053, recall: 0.3556, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3861, root_relative_squared_error: 1.1035, scimark_benchmark: 1211.0881, usercpu_time_millis: 89220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 89200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.4081, kappa: 0.3252, kb_relative_information_score: 354.5362, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4021, predictive_accuracy: 0.4222, prior_entropy: 2.8053, recall: 0.4222, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.1589, scimark_benchmark: 1133.2235, usercpu_time_millis: 15400, usercpu_time_millis_testing: 14410, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.4979, kappa: 0.4273, kb_relative_information_score: 268.74, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4953, predictive_accuracy: 0.5101, prior_entropy: 2.8053, recall: 0.5101, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8793, scimark_benchmark: 1140.971, usercpu_time_millis: 7030, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 6760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.4026, kappa: 0.3203, kb_relative_information_score: 349.5419, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3946, predictive_accuracy: 0.418, prior_entropy: 2.8053, recall: 0.418, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.1642, scimark_benchmark: 1300.8276, usercpu_time_millis: 31810, usercpu_time_millis_testing: 12000, usercpu_time_millis_training: 19810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.3604, kappa: 0.255, kb_relative_information_score: 297.0309, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3592, predictive_accuracy: 0.3619, prior_entropy: 2.8053, recall: 0.3619, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4145, root_relative_squared_error: 1.1847, scimark_benchmark: 979.8499, usercpu_time_millis: 40290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.4558, kappa: 0.367, kb_relative_information_score: 44.7916, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4614, predictive_accuracy: 0.4582, prior_entropy: 2.8053, recall: 0.4582, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.9843, usercpu_time_millis: 183175.528, usercpu_time_millis_testing: 92364.882, usercpu_time_millis_training: 90810.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.132, kappa: 0.0041, kb_relative_information_score: 41.9995, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1272, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3521, root_relative_squared_error: 1.0065, usercpu_time_millis: 17.83, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 15.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.3343, kappa: 0.2141, kb_relative_information_score: 295.3763, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3441, predictive_accuracy: 0.327, prior_entropy: 2.8053, recall: 0.327, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.9692, usercpu_time_millis: 145.805, usercpu_time_millis_testing: 144.273, usercpu_time_millis_training: 1.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.4943, kappa: 0.4236, kb_relative_information_score: 238.2396, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4924, predictive_accuracy: 0.5069, prior_entropy: 2.8053, recall: 0.5069, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.8934, usercpu_time_millis: 208.245, usercpu_time_millis_testing: 5.7, usercpu_time_millis_training: 202.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.5698, kappa: 0.5228, kb_relative_information_score: 481.4931, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5654, predictive_accuracy: 0.5915, prior_entropy: 2.8053, recall: 0.5915, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.7721, usercpu_time_millis: 1451.906, usercpu_time_millis_testing: 41.855, usercpu_time_millis_training: 1410.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.3953, kappa: 0.2911, kb_relative_information_score: 285.1623, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4022, predictive_accuracy: 0.3926, prior_entropy: 2.8053, recall: 0.3926, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9533, usercpu_time_millis: 127.144, usercpu_time_millis_testing: 27.133, usercpu_time_millis_training: 100.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.627, kappa: 0.5652, kb_relative_information_score: 506.2369, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6273, predictive_accuracy: 0.6275, prior_entropy: 2.8053, recall: 0.6275, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.7606, usercpu_time_millis: 208.201, usercpu_time_millis_testing: 1.998, usercpu_time_millis_training: 206.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.405, kappa: 0.3227, kb_relative_information_score: 351.3648, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3985, predictive_accuracy: 0.4201, prior_entropy: 2.8053, recall: 0.4201, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.162, usercpu_time_millis: 403.124, usercpu_time_millis_testing: 256.541, usercpu_time_millis_training: 146.583,

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