Task
Supervised Classification on robot-failures-lp5

Supervised Classification on robot-failures-lp5

Task 9938 Supervised Classification robot-failures-lp5 98 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.6547, kappa: 0.5611, kb_relative_information_score: 95.5999, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6579, predictive_accuracy: 0.6585, prior_entropy: 2.2525, recall: 0.6585, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, kappa: 0.2086, kb_relative_information_score: 39.9214, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.3119, number_of_instances: 164, predictive_accuracy: 0.3902, prior_entropy: 2.2525, recall: 0.3902, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.6303, kappa: 0.5721, kb_relative_information_score: 81.1504, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6364, predictive_accuracy: 0.6707, prior_entropy: 2.2525, recall: 0.6707, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.299, root_relative_squared_error: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.4358, kappa: 0.2844, kb_relative_information_score: 56.0919, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.4752, predictive_accuracy: 0.4512, prior_entropy: 2.2525, recall: 0.4512, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.6203, kappa: 0.5157, kb_relative_information_score: 89.4354, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6223, predictive_accuracy: 0.622, prior_entropy: 2.2525, recall: 0.622, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.4489, kappa: 0.3077, kb_relative_information_score: 56.2767, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.4459, predictive_accuracy: 0.4695, prior_entropy: 2.2525, recall: 0.4695, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4112, root_relative_squared_error: 1.0417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.5699, kappa: 0.514, kb_relative_information_score: 53.664, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6238, predictive_accuracy: 0.6098, prior_entropy: 2.2525, recall: 0.6098, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.6882, kappa: 0.6056, kb_relative_information_score: 87.2996, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.69, predictive_accuracy: 0.6951, prior_entropy: 2.2525, recall: 0.6951, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.6327, kappa: 0.5534, kb_relative_information_score: 98.4478, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6478, predictive_accuracy: 0.6463, prior_entropy: 2.2525, recall: 0.6463, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.8076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.6318, kappa: 0.5362, kb_relative_information_score: 86.6601, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6282, predictive_accuracy: 0.6402, prior_entropy: 2.2525, recall: 0.6402, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.5699, kappa: 0.514, kb_relative_information_score: 93.8114, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6238, predictive_accuracy: 0.6098, prior_entropy: 2.2525, recall: 0.6098, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.5996, kappa: 0.4921, kb_relative_information_score: 79.0421, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6364, predictive_accuracy: 0.6098, prior_entropy: 2.2525, recall: 0.6098, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6257, kappa: 0.5295, kb_relative_information_score: 95.0884, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.623, predictive_accuracy: 0.6341, prior_entropy: 2.2525, recall: 0.6341, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.5379, kappa: 0.488, kb_relative_information_score: 42.5267, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6286, predictive_accuracy: 0.5915, prior_entropy: 2.2525, recall: 0.5915, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.6384, kappa: 0.5371, kb_relative_information_score: 97.1225, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6594, predictive_accuracy: 0.6402, prior_entropy: 2.2525, recall: 0.6402, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.5453, kappa: 0.4348, kb_relative_information_score: 78.9706, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6095, predictive_accuracy: 0.5671, prior_entropy: 2.2525, recall: 0.5671, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4068, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.4796, kappa: 0.3635, kb_relative_information_score: 77.5433, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.5646, predictive_accuracy: 0.5122, prior_entropy: 2.2525, recall: 0.5122, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.6526, kappa: 0.5705, kb_relative_information_score: 100.3077, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6718, predictive_accuracy: 0.6646, prior_entropy: 2.2525, recall: 0.6646, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.3452, kappa: 0.1827, kb_relative_information_score: 27.8367, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.357, predictive_accuracy: 0.3963, prior_entropy: 2.2525, recall: 0.3963, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.5644, kappa: 0.5098, kb_relative_information_score: 92.0021, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.649, predictive_accuracy: 0.6098, prior_entropy: 2.2525, recall: 0.6098, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.6419, kappa: 0.5575, kb_relative_information_score: 92.2952, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6387, predictive_accuracy: 0.6585, prior_entropy: 2.2525, recall: 0.6585, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.294, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.6137, kappa: 0.5541, kb_relative_information_score: 80.321, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.5782, predictive_accuracy: 0.6585, prior_entropy: 2.2525, recall: 0.6585, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.7616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4592, f_measure: 0.1277, kb_relative_information_score: 0.3493, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.0821, predictive_accuracy: 0.2866, prior_entropy: 2.2525, recall: 0.2866, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.395, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.6839, kappa: 0.6109, kb_relative_information_score: 97.9192, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6945, predictive_accuracy: 0.7012, prior_entropy: 2.2525, recall: 0.7012, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.5371, kappa: 0.4244, kb_relative_information_score: 82.2141, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.5898, predictive_accuracy: 0.561, prior_entropy: 2.2525, recall: 0.561, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.5669, kappa: 0.4622, kb_relative_information_score: 88.5628, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.601, predictive_accuracy: 0.5854, prior_entropy: 2.2525, recall: 0.5854, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.5663, kappa: 0.452, kb_relative_information_score: 82.4398, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.564, predictive_accuracy: 0.5732, prior_entropy: 2.2525, recall: 0.5732, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5808, kappa: 0.5168, kb_relative_information_score: 92.7516, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6447, predictive_accuracy: 0.6159, prior_entropy: 2.2525, recall: 0.6159, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.2715, kappa: 0.1513, kb_relative_information_score: 31.7018, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.3332, predictive_accuracy: 0.378, prior_entropy: 2.2525, recall: 0.378, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.2505, kappa: 0.1181, kb_relative_information_score: 30.081, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.2576, predictive_accuracy: 0.3537, prior_entropy: 2.2525, recall: 0.3537, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.2456, kappa: 0.1474, kb_relative_information_score: 28.5138, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.2197, predictive_accuracy: 0.378, prior_entropy: 2.2525, recall: 0.378, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.6304, kappa: 0.5409, kb_relative_information_score: 91.8767, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6397, predictive_accuracy: 0.6463, prior_entropy: 2.2525, recall: 0.6463, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.6903, kappa: 0.606, kb_relative_information_score: 106.3744, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.7039, predictive_accuracy: 0.689, prior_entropy: 2.2525, recall: 0.689, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.6716, kappa: 0.6164, kb_relative_information_score: 89.305, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6721, predictive_accuracy: 0.7073, prior_entropy: 2.2525, recall: 0.7073, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.2691, kappa: 0.14, kb_relative_information_score: 28.5245, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.3089, predictive_accuracy: 0.372, prior_entropy: 2.2525, recall: 0.372, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.5663, kappa: 0.452, kb_relative_information_score: 82.4398, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.564, predictive_accuracy: 0.5732, prior_entropy: 2.2525, recall: 0.5732, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.5717, kappa: 0.491, kb_relative_information_score: 91.5331, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.614, predictive_accuracy: 0.5976, prior_entropy: 2.2525, recall: 0.5976, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4378, f_measure: 0.1218, kappa: -0.025, kb_relative_information_score: 0.4725, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.0788, predictive_accuracy: 0.2683, prior_entropy: 2.2525, recall: 0.2683, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.7112, kappa: 0.6317, kb_relative_information_score: 94.1211, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.715, predictive_accuracy: 0.7134, prior_entropy: 2.2525, recall: 0.7134, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.7129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6632, kappa: 0.5673, kb_relative_information_score: 98.2969, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6638, predictive_accuracy: 0.6646, prior_entropy: 2.2525, recall: 0.6646, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7, kappa: 0.6495, kb_relative_information_score: 108.8861, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6951, predictive_accuracy: 0.7317, prior_entropy: 2.2525, recall: 0.7317, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.3754, kappa: 0.2739, kb_relative_information_score: 54.8609, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.3237, predictive_accuracy: 0.4512, prior_entropy: 2.2525, recall: 0.4512, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.3265, kappa: 0.2283, kb_relative_information_score: 48.6533, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.2881, predictive_accuracy: 0.4146, prior_entropy: 2.2525, recall: 0.4146, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.693, kappa: 0.634, kb_relative_information_score: 106.82, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6929, predictive_accuracy: 0.7195, prior_entropy: 2.2525, recall: 0.7195, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.335, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7193, kappa: 0.6584, kb_relative_information_score: 110.4126, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.7216, predictive_accuracy: 0.7378, prior_entropy: 2.2525, recall: 0.7378, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.6749, kappa: 0.6038, kb_relative_information_score: 101.7489, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6679, predictive_accuracy: 0.6951, prior_entropy: 2.2525, recall: 0.6951, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.3797, kappa: 0.1943, kb_relative_information_score: 43.4481, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.3936, predictive_accuracy: 0.372, prior_entropy: 2.2525, recall: 0.372, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.2696, usercpu_time_millis: 430.456, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 430.402,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.6036, kappa: 0.499, kb_relative_information_score: 88.0624, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.603, predictive_accuracy: 0.6098, prior_entropy: 2.2525, recall: 0.6098, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0008, usercpu_time_millis: 0.554, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.4357, kappa: 0.3055, kb_relative_information_score: 61.1152, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.4733, predictive_accuracy: 0.4756, prior_entropy: 2.2525, recall: 0.4756, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.458, root_relative_squared_error: 1.1601, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.6832, kappa: 0.6328, kb_relative_information_score: 106.2047, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6754, predictive_accuracy: 0.7195, prior_entropy: 2.2525, recall: 0.7195, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.335, root_relative_squared_error: 0.8485, usercpu_time_millis: 16.447, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 14.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.6977, kappa: 0.6491, kb_relative_information_score: 108.6201, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6866, predictive_accuracy: 0.7317, prior_entropy: 2.2525, recall: 0.7317, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.8298, usercpu_time_millis: 5.532, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 5.197,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.4229, kappa: 0.3509, kb_relative_information_score: 65.6325, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.4061, predictive_accuracy: 0.5061, prior_entropy: 2.2525, recall: 0.5061, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4445, root_relative_squared_error: 1.1259, usercpu_time_millis: 0.217, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.4962, kappa: 0.4061, kb_relative_information_score: 72.9258, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.5282, predictive_accuracy: 0.5366, prior_entropy: 2.2525, recall: 0.5366, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0906, usercpu_time_millis: 23.834, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 21.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.5294, kappa: 0.4299, kb_relative_information_score: 76.6059, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.5465, predictive_accuracy: 0.561, prior_entropy: 2.2525, recall: 0.561, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0615, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.3593, kappa: 0.1916, kb_relative_information_score: 40.8837, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.3698, predictive_accuracy: 0.372, prior_entropy: 2.2525, recall: 0.372, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.2696, usercpu_time_millis: 4.183, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 3.939,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.4482, kappa: 0.2907, kb_relative_information_score: 56.9894, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.4529, predictive_accuracy: 0.4512, prior_entropy: 2.2525, recall: 0.4512, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1868, usercpu_time_millis: 2.101, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.4449, kappa: 0.3026, kb_relative_information_score: 58.8213, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.4978, predictive_accuracy: 0.4634, prior_entropy: 2.2525, recall: 0.4634, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4633, root_relative_squared_error: 1.1735, usercpu_time_millis: 5.009, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 4.988,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6168, kappa: 0.5122, kb_relative_information_score: 89.747, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6448, predictive_accuracy: 0.622, prior_entropy: 2.2525, recall: 0.622, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.985, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 1.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.5299, kappa: 0.4639, kb_relative_information_score: 80.6074, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.5641, predictive_accuracy: 0.5915, prior_entropy: 2.2525, recall: 0.5915, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.024, usercpu_time_millis: 10.881, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 9.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.5977, kappa: 0.5052, kb_relative_information_score: 80.5605, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6013, predictive_accuracy: 0.6159, prior_entropy: 2.2525, recall: 0.6159, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8142, scimark_benchmark: 1226.6794, usercpu_time_millis: 6780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.6043, kappa: 0.4987, kb_relative_information_score: 78.9543, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6097, predictive_accuracy: 0.6159, prior_entropy: 2.2525, recall: 0.6159, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.8907, scimark_benchmark: 474.4673, usercpu_time_millis: 19660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 19640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6279, kappa: 0.5393, kb_relative_information_score: 94.5572, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.7094, predictive_accuracy: 0.628, prior_entropy: 2.2525, recall: 0.628, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.9064, scimark_benchmark: 1252.3037, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6168, kappa: 0.5122, kb_relative_information_score: 88.2784, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6448, predictive_accuracy: 0.622, prior_entropy: 2.2525, recall: 0.622, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9675, scimark_benchmark: 1227.2131, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.6066, kappa: 0.5113, kb_relative_information_score: 75.178, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6031, predictive_accuracy: 0.622, prior_entropy: 2.2525, recall: 0.622, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.8531, scimark_benchmark: 1199.7683, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7254, kappa: 0.6478, kb_relative_information_score: 110.0695, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.7306, predictive_accuracy: 0.7256, prior_entropy: 2.2525, recall: 0.7256, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.7697, scimark_benchmark: 1236.4124, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6168, kappa: 0.5122, kb_relative_information_score: 88.2784, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6448, predictive_accuracy: 0.622, prior_entropy: 2.2525, recall: 0.622, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9675, scimark_benchmark: 473.1656, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.4687, kappa: 0.3327, kb_relative_information_score: 61.789, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.4837, predictive_accuracy: 0.4817, prior_entropy: 2.2525, recall: 0.4817, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.4533, root_relative_squared_error: 1.1482, scimark_benchmark: 1254.1389, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.5663, kappa: 0.452, kb_relative_information_score: 82.4398, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.564, predictive_accuracy: 0.5732, prior_entropy: 2.2525, recall: 0.5732, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.0076, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.5699, kappa: 0.514, kb_relative_information_score: 93.8114, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6238, predictive_accuracy: 0.6098, prior_entropy: 2.2525, recall: 0.6098, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.9785, scimark_benchmark: 473.1656, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.2942, kappa: 0.1528, kb_relative_information_score: 46.7072, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.2562, predictive_accuracy: 0.3598, prior_entropy: 2.2525, recall: 0.3598, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9396, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.5379, kappa: 0.488, kb_relative_information_score: 89.4445, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6286, predictive_accuracy: 0.5915, prior_entropy: 2.2525, recall: 0.5915, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.0015, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.5379, kappa: 0.488, kb_relative_information_score: 89.4445, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6286, predictive_accuracy: 0.5915, prior_entropy: 2.2525, recall: 0.5915, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.0015, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.7218, kappa: 0.641, kb_relative_information_score: 109.7509, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.7257, predictive_accuracy: 0.7195, prior_entropy: 2.2525, recall: 0.7195, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.787, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4592, f_measure: 0.1277, kb_relative_information_score: 0.3493, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.0821, predictive_accuracy: 0.2866, prior_entropy: 2.2525, recall: 0.2866, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.395, root_relative_squared_error: 1.0005, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.5663, kappa: 0.452, kb_relative_information_score: 82.4398, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.564, predictive_accuracy: 0.5732, prior_entropy: 2.2525, recall: 0.5732, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.0076,

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