OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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59008 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9749, kappa: 0.7451, kb_relative_information_score: 2726.3843, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9745, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.9198, kb_relative_information_score: -2382.6759, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.9198, kb_relative_information_score: -1944.6996, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.9198, kb_relative_information_score: -17607.524, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.6423, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2375, root_relative_squared_error: 1.0513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.9198, kb_relative_information_score: -2226.0716, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9194, kappa: 0.0034, kb_relative_information_score: -668.0234, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9005, predictive_accuracy: 0.9444, prior_entropy: 0.3037, recall: 0.9444, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.9198, kb_relative_information_score: -40005.7044, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 3.8492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.397, root_relative_squared_error: 1.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9204, kappa: 0.0173, kb_relative_information_score: -834.1498, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.909, predictive_accuracy: 0.9448, prior_entropy: 0.3037, recall: 0.9448, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.9198, kb_relative_information_score: -11374.456, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.3518, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.229, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9198, kb_relative_information_score: -37432.0887, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 3.4575, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3611, root_relative_squared_error: 1.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9294, kappa: 0.1453, kb_relative_information_score: -189.5723, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9357, predictive_accuracy: 0.9485, prior_entropy: 0.3037, recall: 0.9485, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.9198, kb_relative_information_score: -2136.8862, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9571, kappa: 0.5356, kb_relative_information_score: 1059.6161, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9569, predictive_accuracy: 0.9618, prior_entropy: 0.3037, recall: 0.9618, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.7035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.9198, kb_relative_information_score: -5038.8242, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.1277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.9198, kb_relative_information_score: -1745.6185, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9835, kappa: 0.8323, kb_relative_information_score: 3333.1778, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.9198, kb_relative_information_score: -1840.0414, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.9198, kb_relative_information_score: -2079.4393, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.9198, kb_relative_information_score: -2150.7362, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.217, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9402, kappa: 0.295, kb_relative_information_score: 61.7456, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9478, predictive_accuracy: 0.9539, prior_entropy: 0.3037, recall: 0.9539, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9244, kappa: 0.0764, kb_relative_information_score: -520.7145, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9253, predictive_accuracy: 0.9463, prior_entropy: 0.3037, recall: 0.9463, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9643, kappa: 0.6276, kb_relative_information_score: 1370.5746, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9637, predictive_accuracy: 0.9667, prior_entropy: 0.3037, recall: 0.9667, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.156, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.9198, kb_relative_information_score: -1716.4573, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9195, kappa: -0.0012, kb_relative_information_score: -1483.3999, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9454, prior_entropy: 0.3037, recall: 0.9454, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9653, kappa: 0.6412, kb_relative_information_score: 1528.0902, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9646, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.9198, kb_relative_information_score: -1687.303, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.9198, kb_relative_information_score: -2126.5506, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.9198, kb_relative_information_score: -2130.1779, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.9198, kb_relative_information_score: -2246.8833, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.978,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9209, kappa: 0.0242, kb_relative_information_score: -797.3373, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9123, predictive_accuracy: 0.945, prior_entropy: 0.3037, recall: 0.945, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.8656,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9794, kappa: 0.7849, kb_relative_information_score: 2577.2755, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.5241, scimark_benchmark: 1870.742, usercpu_time_millis: 3.069, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 2.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9843, kappa: 0.8439, kb_relative_information_score: 3024.0931, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4785, scimark_benchmark: 1873.4078, usercpu_time_millis: 9.119, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 8.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9808, kappa: 0.8038, kb_relative_information_score: 2736.7766, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.504, scimark_benchmark: 1755.0172, usercpu_time_millis: 16.944, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 15.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9748, kappa: 0.731, kb_relative_information_score: 2320.3406, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.5598, scimark_benchmark: 1752.5067, usercpu_time_millis: 15.558, usercpu_time_millis_testing: 1.345, usercpu_time_millis_training: 14.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9842, kappa: 0.8421, kb_relative_information_score: 3061.9309, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4816, scimark_benchmark: 1871.5019, usercpu_time_millis: 16.967, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 16.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9836, kappa: 0.8342, kb_relative_information_score: 2934.5704, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4856, scimark_benchmark: 1878.7854, usercpu_time_millis: 9.496, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 9.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9774, kappa: 0.7645, kb_relative_information_score: 2479.4809, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9779, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.535, scimark_benchmark: 1873.4805, usercpu_time_millis: 11.909, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 11.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9808, kappa: 0.8038, kb_relative_information_score: 2634.4351, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.5167, scimark_benchmark: 1875.903, usercpu_time_millis: 6.392, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 6.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9681, kappa: 0.6502, kb_relative_information_score: 1907.7032, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9715, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6126, scimark_benchmark: 1755.0788, usercpu_time_millis: 20.301, usercpu_time_millis_testing: 1.833, usercpu_time_millis_training: 18.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9804, kappa: 0.7989, kb_relative_information_score: 2722.5759, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.5116, scimark_benchmark: 1868.6447, usercpu_time_millis: 18.78, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 17.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9673, kappa: 0.6416, kb_relative_information_score: 1835.4997, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6275, scimark_benchmark: 1870.2139, usercpu_time_millis: 13.476, usercpu_time_millis_testing: 1.539, usercpu_time_millis_training: 11.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9784, kappa: 0.7728, kb_relative_information_score: 2460.8892, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9793, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.5405, scimark_benchmark: 1873.4078, usercpu_time_millis: 9.557, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 8.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9726, kappa: 0.7073, kb_relative_information_score: 2072.6288, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.5809, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.609, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 2.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9704, kappa: 0.6798, kb_relative_information_score: 2139.7438, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.973, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.132, root_relative_squared_error: 0.5843, scimark_benchmark: 1868.7112, usercpu_time_millis: 18.124, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 16.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9783, kappa: 0.7718, kb_relative_information_score: 2457.2898, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.5412, scimark_benchmark: 1752.1591, usercpu_time_millis: 22.334, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 20.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9837, kappa: 0.8373, kb_relative_information_score: 2974.046, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4819, scimark_benchmark: 1874.4489, usercpu_time_millis: 7.029, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 6.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9776, kappa: 0.7664, kb_relative_information_score: 2464.0454, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9782, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.536, scimark_benchmark: 1869.5708, usercpu_time_millis: 13.629, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 12.609,

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