Task
Supervised Classification on meta_ensembles.arff

Supervised Classification on meta_ensembles.arff

Task 2274 Supervised Classification meta_ensembles.arff 365 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6135, kappa: 0.3029, kb_relative_information_score: 0.2798, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.2904, weighted_recall: 0.6486, number_of_instances: 74, precision: 0.6063, predictive_accuracy: 0.6486, prior_entropy: 1.5452, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.9252, unweighted_recall: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6067, kappa: 0.2909, kb_relative_information_score: 0.2988, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2904, weighted_recall: 0.6216, number_of_instances: 74, precision: 0.6022, predictive_accuracy: 0.6216, prior_entropy: 1.5452, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3931, root_relative_squared_error: 1.0394, unweighted_recall: 0.4448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6137, kappa: 0.2912, kb_relative_information_score: 0.2585, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.2904, weighted_recall: 0.6622, number_of_instances: 74, precision: 0.6205, predictive_accuracy: 0.6622, prior_entropy: 1.5452, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9225, unweighted_recall: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.45, kappa: 0.022, kb_relative_information_score: 0.0619, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.2904, weighted_recall: 0.5946, number_of_instances: 74, predictive_accuracy: 0.5946, prior_entropy: 1.5452, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0682, unweighted_recall: 0.2567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.5391, kappa: 0.2178, kb_relative_information_score: 0.218, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.2904, weighted_recall: 0.527, number_of_instances: 74, precision: 0.5558, predictive_accuracy: 0.527, prior_entropy: 1.5452, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.2859, unweighted_recall: 0.4306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.5865, kappa: 0.2567, kb_relative_information_score: -0.1276, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.2904, weighted_recall: 0.6081, number_of_instances: 74, precision: 0.575, predictive_accuracy: 0.6081, prior_entropy: 1.5452, relative_absolute_error: 1.2673, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4251, root_relative_squared_error: 1.1242, unweighted_recall: 0.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6134, kappa: 0.3125, kb_relative_information_score: 0.3167, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2904, weighted_recall: 0.6351, number_of_instances: 74, precision: 0.6061, predictive_accuracy: 0.6351, prior_entropy: 1.5452, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9638, unweighted_recall: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.5674, kappa: 0.2521, kb_relative_information_score: 0.263, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.2904, weighted_recall: 0.5676, number_of_instances: 74, precision: 0.5681, predictive_accuracy: 0.5676, prior_entropy: 1.5452, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.465, root_relative_squared_error: 1.2296, unweighted_recall: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4465, f_measure: 0.5091, kappa: 0.0799, kb_relative_information_score: 0.6523, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6336, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.377, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.6377, kappa: 0.3124, kb_relative_information_score: 17.7444, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.679, predictive_accuracy: 0.6757, prior_entropy: 1.5899, recall: 0.6757, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.6385, kappa: 0.3526, kb_relative_information_score: 15.2448, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6422, predictive_accuracy: 0.6486, prior_entropy: 1.5899, recall: 0.6486, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.5394, kappa: 0.1581, kb_relative_information_score: 11.3137, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5114, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.0519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.5091, kappa: 0.0799, kb_relative_information_score: 3.6414, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6336, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3822, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.5494, kappa: 0.2057, kb_relative_information_score: 7.0078, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5406, predictive_accuracy: 0.5811, prior_entropy: 1.5899, recall: 0.5811, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.5831, kappa: 0.2638, kb_relative_information_score: 21.6887, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.59, predictive_accuracy: 0.5811, prior_entropy: 1.5899, recall: 0.5811, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.1534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.5551, kappa: 0.2357, kb_relative_information_score: 13.6045, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5763, predictive_accuracy: 0.5405, prior_entropy: 1.5899, recall: 0.5405, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4124, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.5532, kappa: 0.2299, kb_relative_information_score: 21.6502, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5548, predictive_accuracy: 0.5541, prior_entropy: 1.5899, recall: 0.5541, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.6338, kappa: 0.374, kb_relative_information_score: 26.8226, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6517, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.4537, kappa: 0.0624, kb_relative_information_score: 10.0285, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.4627, predictive_accuracy: 0.4459, prior_entropy: 1.5899, recall: 0.4459, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.6338, kappa: 0.374, kb_relative_information_score: 26.8226, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6517, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.551, kappa: 0.2334, kb_relative_information_score: 17.6613, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5677, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6496, kappa: 0.3831, kb_relative_information_score: 6.2139, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.645, predictive_accuracy: 0.6757, prior_entropy: 1.5899, recall: 0.6757, relative_absolute_error: 1.0351, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.6616, kappa: 0.3916, kb_relative_information_score: 20.2505, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.659, predictive_accuracy: 0.6757, prior_entropy: 1.5899, recall: 0.6757, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4919, kappa: 0.0517, kb_relative_information_score: 7.9652, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.4513, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3959, f_measure: 0.4599, kb_relative_information_score: -0.3125, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.3698, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3795, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.5292, kappa: 0.2057, kb_relative_information_score: 16.7295, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5552, predictive_accuracy: 0.5811, prior_entropy: 1.5899, recall: 0.5811, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.6469, kappa: 0.3784, kb_relative_information_score: 22.778, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.666, predictive_accuracy: 0.6757, prior_entropy: 1.5899, recall: 0.6757, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.6469, kappa: 0.3784, kb_relative_information_score: 22.778, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.666, predictive_accuracy: 0.6757, prior_entropy: 1.5899, recall: 0.6757, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.5896, kappa: 0.2712, kb_relative_information_score: 18.8354, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.59, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.1143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.5497, kappa: 0.2453, kb_relative_information_score: 18.5843, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5908, predictive_accuracy: 0.527, prior_entropy: 1.5899, recall: 0.527, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 2.3858, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3889, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.5732, kappa: 0.2574, kb_relative_information_score: 20.6115, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5758, predictive_accuracy: 0.5811, prior_entropy: 1.5899, recall: 0.5811, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4353, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.6425, kappa: 0.3807, kb_relative_information_score: 26.6356, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6543, predictive_accuracy: 0.6351, prior_entropy: 1.5899, recall: 0.6351, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4007, root_relative_squared_error: 1.0597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.5532, kappa: 0.1764, kb_relative_information_score: 1.3746, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5448, predictive_accuracy: 0.6486, prior_entropy: 1.5899, recall: 0.6486, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.386, root_relative_squared_error: 1.0208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.6488, kappa: 0.4229, kb_relative_information_score: 28.804, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6847, predictive_accuracy: 0.6351, prior_entropy: 1.5899, recall: 0.6351, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.1074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.5896, kappa: 0.2712, kb_relative_information_score: 18.8354, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.59, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.1143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6359, kappa: 0.3381, kb_relative_information_score: 19.2452, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6335, predictive_accuracy: 0.6622, prior_entropy: 1.5899, recall: 0.6622, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.5647, kappa: 0.2484, kb_relative_information_score: 19.7229, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5807, predictive_accuracy: 0.5541, prior_entropy: 1.5899, recall: 0.5541, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4063, root_relative_squared_error: 1.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.5532, kappa: 0.1764, kb_relative_information_score: 1.3746, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5448, predictive_accuracy: 0.6486, prior_entropy: 1.5899, recall: 0.6486, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.386, root_relative_squared_error: 1.0208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.4442, kappa: -0.0391, kb_relative_information_score: 1.1321, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.3649, predictive_accuracy: 0.5676, prior_entropy: 1.5899, recall: 0.5676, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.0344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.5866, kappa: 0.2385, kb_relative_information_score: 17.7141, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5871, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.5578, kappa: 0.2318, kb_relative_information_score: 17.6244, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5631, predictive_accuracy: 0.5541, prior_entropy: 1.5899, recall: 0.5541, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.5177, kappa: 0.1246, kb_relative_information_score: 8.1669, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.468, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.0778, scimark_benchmark: 906.0979,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 15.8196, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 934.695,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.5641, kappa: 0.1738, kb_relative_information_score: 16.6987, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5843, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.9357, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.5876, kappa: 0.2514, kb_relative_information_score: 18.614, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5847, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.0589, scimark_benchmark: 946.9304, usercpu_time_millis: 1050, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6359, kappa: 0.3381, kb_relative_information_score: 19.2452, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.6335, predictive_accuracy: 0.6622, prior_entropy: 1.5899, recall: 0.6622, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.9364, scimark_benchmark: 928.8135, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.5177, kappa: 0.1246, kb_relative_information_score: 8.1669, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.468, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.0778, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 15.8196, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2155, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4112, root_relative_squared_error: 1.0874, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.5641, kappa: 0.1738, kb_relative_information_score: 16.6987, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.5843, predictive_accuracy: 0.6216, prior_entropy: 1.5899, recall: 0.6216, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.9357, scimark_benchmark: 1327.5842, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 1335.974, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.5177, kappa: 0.1246, kb_relative_information_score: 8.1669, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.468, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.0778, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5432, kappa: 0.1753, kb_relative_information_score: 12.2051, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.508, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0856, scimark_benchmark: 1362.9924,

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