Task
Supervised Classification on GesturePhaseSegmentationProcessed

Supervised Classification on GesturePhaseSegmentationProcessed

Task 14969 Supervised Classification GesturePhaseSegmentationProcessed 19791 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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19791 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.5174, kappa: 0.3944, kb_relative_information_score: 0.3312, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5527, number_of_instances: 9873, precision: 0.5508, predictive_accuracy: 0.5527, prior_entropy: 2.1934, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.8802, unweighted_recall: 0.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, kappa: 0.251, kb_relative_information_score: 0.2145, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4611, number_of_instances: 9873, predictive_accuracy: 0.4611, prior_entropy: 2.1934, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9355, unweighted_recall: 0.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.3491, kappa: 0.2374, kb_relative_information_score: 0.1191, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4545, number_of_instances: 9873, precision: 0.4488, predictive_accuracy: 0.4545, prior_entropy: 2.1934, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.9537, unweighted_recall: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.4445, kappa: 0.3262, kb_relative_information_score: 0.2156, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5118, number_of_instances: 9873, precision: 0.5093, predictive_accuracy: 0.5118, prior_entropy: 2.1934, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9181, unweighted_recall: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.536, kappa: 0.4087, kb_relative_information_score: 0.3212, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5683, number_of_instances: 9873, precision: 0.606, predictive_accuracy: 0.5683, prior_entropy: 2.1934, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.8691, unweighted_recall: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.3002, kappa: 0.1601, kb_relative_information_score: 0.0516, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4029, number_of_instances: 9873, precision: 0.3325, predictive_accuracy: 0.4029, prior_entropy: 2.1934, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.9866, unweighted_recall: 0.2808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4931, kappa: 0.3653, kb_relative_information_score: 0.2941, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5307, number_of_instances: 9873, precision: 0.5168, predictive_accuracy: 0.5307, prior_entropy: 2.1934, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.8917, unweighted_recall: 0.4345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.4233, kappa: 0.2783, kb_relative_information_score: 0.2302, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4798, number_of_instances: 9873, precision: 0.5251, predictive_accuracy: 0.4798, prior_entropy: 2.1934, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9265, unweighted_recall: 0.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.4066, kappa: 0.2764, kb_relative_information_score: 0.2283, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.3065, weighted_recall: 0.478, number_of_instances: 9873, precision: 0.5025, predictive_accuracy: 0.478, prior_entropy: 2.1934, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.926, unweighted_recall: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.3002, kappa: 0.1601, kb_relative_information_score: 0.0516, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4029, number_of_instances: 9873, precision: 0.3325, predictive_accuracy: 0.4029, prior_entropy: 2.1934, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.9866, unweighted_recall: 0.2808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.4754, kappa: 0.3443, kb_relative_information_score: 0.2827, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5169, number_of_instances: 9873, precision: 0.5051, predictive_accuracy: 0.5169, prior_entropy: 2.1934, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8995, unweighted_recall: 0.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.4896, kappa: 0.3608, kb_relative_information_score: 0.2959, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.3065, weighted_recall: 0.527, number_of_instances: 9873, precision: 0.5141, predictive_accuracy: 0.527, prior_entropy: 2.1934, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8931, unweighted_recall: 0.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.4014, kappa: 0.2634, kb_relative_information_score: 0.2029, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4641, number_of_instances: 9873, precision: 0.4587, predictive_accuracy: 0.4641, prior_entropy: 2.1934, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9345, unweighted_recall: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.5434, kappa: 0.4219, kb_relative_information_score: 0.325, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5744, number_of_instances: 9873, precision: 0.5721, predictive_accuracy: 0.5744, prior_entropy: 2.1934, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.8702, unweighted_recall: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.4794, kappa: 0.3483, kb_relative_information_score: 0.2846, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5193, number_of_instances: 9873, precision: 0.5068, predictive_accuracy: 0.5193, prior_entropy: 2.1934, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.8987, unweighted_recall: 0.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.5434, kappa: 0.4219, kb_relative_information_score: 0.325, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5744, number_of_instances: 9873, precision: 0.5721, predictive_accuracy: 0.5744, prior_entropy: 2.1934, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.8702, unweighted_recall: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.5187, kappa: 0.3839, kb_relative_information_score: 0.3145, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5524, number_of_instances: 9873, precision: 0.6188, predictive_accuracy: 0.5524, prior_entropy: 2.1934, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.8725, unweighted_recall: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.5269, kappa: 0.4057, kb_relative_information_score: 0.2924, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5633, number_of_instances: 9873, precision: 0.5534, predictive_accuracy: 0.5633, prior_entropy: 2.1934, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.8855, unweighted_recall: 0.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.4639, kappa: 0.3297, kb_relative_information_score: 0.2816, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5078, number_of_instances: 9873, precision: 0.523, predictive_accuracy: 0.5078, prior_entropy: 2.1934, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9067, unweighted_recall: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.4071, kappa: 0.2768, kb_relative_information_score: 0.2292, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4782, number_of_instances: 9873, precision: 0.4967, predictive_accuracy: 0.4782, prior_entropy: 2.1934, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9256, unweighted_recall: 0.3505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4162, kappa: 0.2765, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4649, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9287, unweighted_recall: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.412, kappa: 0.2702, kb_relative_information_score: 0.2397, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4694, number_of_instances: 9873, precision: 0.4457, predictive_accuracy: 0.4694, prior_entropy: 2.1934, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9319, unweighted_recall: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.4138, kappa: 0.2747, kb_relative_information_score: 0.2167, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4734, number_of_instances: 9873, precision: 0.4729, predictive_accuracy: 0.4734, prior_entropy: 2.1934, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9292, unweighted_recall: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.4158, kappa: 0.2765, kb_relative_information_score: 0.2196, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4743, number_of_instances: 9873, precision: 0.4641, predictive_accuracy: 0.4743, prior_entropy: 2.1934, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9287, unweighted_recall: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4162, kappa: 0.2765, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4649, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9287, unweighted_recall: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4162, kappa: 0.2765, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4649, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9287, unweighted_recall: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.4156, kappa: 0.2759, kb_relative_information_score: 0.2198, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4739, number_of_instances: 9873, precision: 0.4639, predictive_accuracy: 0.4739, prior_entropy: 2.1934, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9287, unweighted_recall: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.416, kappa: 0.2763, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4741, number_of_instances: 9873, precision: 0.4646, predictive_accuracy: 0.4741, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9287, unweighted_recall: 0.3581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4162, kappa: 0.2765, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4649, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9287, unweighted_recall: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.4248, kappa: 0.2815, kb_relative_information_score: 0.2473, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4757, number_of_instances: 9873, precision: 0.4636, predictive_accuracy: 0.4757, prior_entropy: 2.1934, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9245, unweighted_recall: 0.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.4245, kappa: 0.2813, kb_relative_information_score: 0.247, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4756, number_of_instances: 9873, precision: 0.4637, predictive_accuracy: 0.4756, prior_entropy: 2.1934, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9245, unweighted_recall: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.4126, kappa: 0.2734, kb_relative_information_score: 0.2287, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4723, number_of_instances: 9873, precision: 0.5239, predictive_accuracy: 0.4723, prior_entropy: 2.1934, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9271, unweighted_recall: 0.3554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, kappa: 0.2316, kb_relative_information_score: 0.1555, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4483, number_of_instances: 9873, predictive_accuracy: 0.4483, prior_entropy: 2.1934, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9449, unweighted_recall: 0.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4162, kappa: 0.2765, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4649, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9287, unweighted_recall: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.412, kappa: 0.2702, kb_relative_information_score: 0.2397, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4694, number_of_instances: 9873, precision: 0.4457, predictive_accuracy: 0.4694, prior_entropy: 2.1934, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9319, unweighted_recall: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4162, kappa: 0.2765, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4655, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9287, unweighted_recall: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4162, kappa: 0.2765, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4649, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9287, unweighted_recall: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, kappa: 0.2625, kb_relative_information_score: 0.188, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4658, number_of_instances: 9873, predictive_accuracy: 0.4658, prior_entropy: 2.1934, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9358, unweighted_recall: 0.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.4141, kappa: 0.2756, kb_relative_information_score: 0.2172, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4752, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9291, unweighted_recall: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.4138, kappa: 0.2747, kb_relative_information_score: 0.2167, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4734, number_of_instances: 9873, precision: 0.4729, predictive_accuracy: 0.4734, prior_entropy: 2.1934, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9292, unweighted_recall: 0.3566,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4162, kappa: 0.2765, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4742, number_of_instances: 9873, precision: 0.4649, predictive_accuracy: 0.4742, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9287, unweighted_recall: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.4156, kappa: 0.2759, kb_relative_information_score: 0.2198, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4739, number_of_instances: 9873, precision: 0.4639, predictive_accuracy: 0.4739, prior_entropy: 2.1934, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9287, unweighted_recall: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, kappa: 0.2659, kb_relative_information_score: 0.2021, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4689, number_of_instances: 9873, predictive_accuracy: 0.4689, prior_entropy: 2.1934, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9323, unweighted_recall: 0.3475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.4154, kappa: 0.2758, kb_relative_information_score: 0.2195, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4738, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.4738, prior_entropy: 2.1934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288, unweighted_recall: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, kappa: 0.2316, kb_relative_information_score: 0.1555, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4483, number_of_instances: 9873, predictive_accuracy: 0.4483, prior_entropy: 2.1934, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9449, unweighted_recall: 0.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.416, kappa: 0.2763, kb_relative_information_score: 0.2201, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4741, number_of_instances: 9873, precision: 0.4646, predictive_accuracy: 0.4741, prior_entropy: 2.1934, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9287, unweighted_recall: 0.3581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, kappa: 0.2316, kb_relative_information_score: 0.1555, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4483, number_of_instances: 9873, predictive_accuracy: 0.4483, prior_entropy: 2.1934, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9449, unweighted_recall: 0.3211,

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

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From your own software

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

OpenML APIs