OpenML
Supervised Classification on dna

Supervised Classification on dna

Task 167140 Supervised Classification dna 4967 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9572, kappa: 0.9305, kb_relative_information_score: 2979.8488, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9577, predictive_accuracy: 0.957, prior_entropy: 1.48, recall: 0.957, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9209, kappa: 0.8716, kb_relative_information_score: 2680.6176, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9216, predictive_accuracy: 0.9206, prior_entropy: 1.48, recall: 0.9206, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9122, kappa: 0.8555, kb_relative_information_score: 2736.599, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9191, predictive_accuracy: 0.9137, prior_entropy: 1.48, recall: 0.9137, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.944, kappa: 0.9089, kb_relative_information_score: 2907.6587, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 1.48, recall: 0.9441, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9506, kappa: 0.9198, kb_relative_information_score: 2946.8708, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9511, predictive_accuracy: 0.9504, prior_entropy: 1.48, recall: 0.9504, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9216, kappa: 0.8727, kb_relative_information_score: 2613.0315, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9225, predictive_accuracy: 0.9212, prior_entropy: 1.48, recall: 0.9212, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9406, kappa: 0.9036, kb_relative_information_score: 2716.8322, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9412, predictive_accuracy: 0.9404, prior_entropy: 1.48, recall: 0.9404, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9459, kappa: 0.9122, kb_relative_information_score: 2922.9255, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9465, predictive_accuracy: 0.9457, prior_entropy: 1.48, recall: 0.9457, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.5808, kappa: 0.3035, kb_relative_information_score: 1291.6606, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7867, predictive_accuracy: 0.6412, prior_entropy: 1.48, recall: 0.6412, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9329, kappa: 0.8911, kb_relative_information_score: 2674.1626, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9338, predictive_accuracy: 0.9325, prior_entropy: 1.48, recall: 0.9325, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9443, kappa: 0.9094, kb_relative_information_score: 2541.9477, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9448, predictive_accuracy: 0.9441, prior_entropy: 1.48, recall: 0.9441, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9565, kappa: 0.9294, kb_relative_information_score: 2975.9236, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.957, predictive_accuracy: 0.9564, prior_entropy: 1.48, recall: 0.9564, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.6394, kappa: 0.3939, kb_relative_information_score: 1502.153, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.8016, predictive_accuracy: 0.6811, prior_entropy: 1.48, recall: 0.6811, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4611, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9624, kappa: 0.939, kb_relative_information_score: 3004.0672, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9627, predictive_accuracy: 0.9623, prior_entropy: 1.48, recall: 0.9623, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9559, kappa: 0.9284, kb_relative_information_score: 2972.616, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9563, predictive_accuracy: 0.9557, prior_entropy: 1.48, recall: 0.9557, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9384, kappa: 0.8999, kb_relative_information_score: 2884.0676, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9387, predictive_accuracy: 0.9382, prior_entropy: 1.48, recall: 0.9382, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9449, kappa: 0.9105, kb_relative_information_score: 2718.5723, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9454, predictive_accuracy: 0.9448, prior_entropy: 1.48, recall: 0.9448, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9452, kappa: 0.9109, kb_relative_information_score: 2525.0534, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9455, predictive_accuracy: 0.9451, prior_entropy: 1.48, recall: 0.9451, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9543, kappa: 0.9258, kb_relative_information_score: 2964.027, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9546, predictive_accuracy: 0.9542, prior_entropy: 1.48, recall: 0.9542, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9624, kappa: 0.939, kb_relative_information_score: 3004.0672, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9627, predictive_accuracy: 0.9623, prior_entropy: 1.48, recall: 0.9623, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9255, kappa: 0.8792, kb_relative_information_score: 2667.9867, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9271, predictive_accuracy: 0.925, prior_entropy: 1.48, recall: 0.925, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9292, kappa: 0.885, kb_relative_information_score: 2442.744, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9298, predictive_accuracy: 0.9291, prior_entropy: 1.48, recall: 0.9291, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9521, kappa: 0.9222, kb_relative_information_score: 2952.1235, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9523, predictive_accuracy: 0.952, prior_entropy: 1.48, recall: 0.952, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.925, kappa: 0.8785, kb_relative_information_score: 2650.9728, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9263, predictive_accuracy: 0.9247, prior_entropy: 1.48, recall: 0.9247, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.3842, kappa: 0.0356, kb_relative_information_score: 717.9449, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7541, predictive_accuracy: 0.5326, prior_entropy: 1.48, recall: 0.5326, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9286, kappa: 0.884, kb_relative_information_score: 2518.0676, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9296, predictive_accuracy: 0.9281, prior_entropy: 1.48, recall: 0.9281, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9537, kappa: 0.9249, kb_relative_information_score: 2962.2254, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9542, predictive_accuracy: 0.9535, prior_entropy: 1.48, recall: 0.9535, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.3597, kappa: 0.0058, kb_relative_information_score: 658.2805, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.751, predictive_accuracy: 0.5213, prior_entropy: 1.48, recall: 0.5213, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.2478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9335, kappa: 0.892, kb_relative_information_score: 2605.4388, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9343, predictive_accuracy: 0.9331, prior_entropy: 1.48, recall: 0.9331, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0042, kb_relative_information_score: 654.9677, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5207, prior_entropy: 1.48, recall: 0.5207, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5653, root_relative_squared_error: 1.2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9587, kappa: 0.933, kb_relative_information_score: 2987.5252, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9592, predictive_accuracy: 0.9586, prior_entropy: 1.48, recall: 0.9586, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9125, kappa: 0.8579, kb_relative_information_score: 2581.7781, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9132, predictive_accuracy: 0.9121, prior_entropy: 1.48, recall: 0.9121, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.5555, kappa: 0.266, kb_relative_information_score: 1207.1486, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.781, predictive_accuracy: 0.6252, prior_entropy: 1.48, recall: 0.6252, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.1041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7437, kappa: 0.5678, kb_relative_information_score: 1932.3759, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.8329, predictive_accuracy: 0.7624, prior_entropy: 1.48, recall: 0.7624, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9501, kappa: 0.9187, kb_relative_information_score: 2037.5558, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 1.48, recall: 0.9501, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.5329, kappa: 0.2332, kb_relative_information_score: 1134.2244, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7762, predictive_accuracy: 0.6114, prior_entropy: 1.48, recall: 0.6114, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.509, root_relative_squared_error: 1.1242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9222, kappa: 0.8736, kb_relative_information_score: 2759.3693, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9224, predictive_accuracy: 0.9222, prior_entropy: 1.48, recall: 0.9222, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9449, kappa: 0.9104, kb_relative_information_score: 2741.3712, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9455, predictive_accuracy: 0.9448, prior_entropy: 1.48, recall: 0.9448, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9349, kappa: 0.8942, kb_relative_information_score: 2866.7478, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9352, predictive_accuracy: 0.9347, prior_entropy: 1.48, recall: 0.9347, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5428, kappa: 0.2474, kb_relative_information_score: 1165.7078, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7783, predictive_accuracy: 0.6174, prior_entropy: 1.48, recall: 0.6174, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.505, root_relative_squared_error: 1.1156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9497, kappa: 0.9182, kb_relative_information_score: 2941.5946, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9501, predictive_accuracy: 0.9495, prior_entropy: 1.48, recall: 0.9495, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4054,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9326, kappa: 0.8905, kb_relative_information_score: 2855.1462, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9328, predictive_accuracy: 0.9325, prior_entropy: 1.48, recall: 0.9325, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9506, kappa: 0.9198, kb_relative_information_score: 2946.2653, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9511, predictive_accuracy: 0.9504, prior_entropy: 1.48, recall: 0.9504, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4016,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5818, kappa: 0.3049, kb_relative_information_score: 1294.9733, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7869, predictive_accuracy: 0.6419, prior_entropy: 1.48, recall: 0.6419, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9264, kappa: 0.8803, kb_relative_information_score: 2774.6762, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9266, predictive_accuracy: 0.9262, prior_entropy: 1.48, recall: 0.9262, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9428, kappa: 0.9071, kb_relative_information_score: 2741.1138, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 1.48, recall: 0.9426, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.386,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9403, kappa: 0.9029, kb_relative_information_score: 2739.6942, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 1.48, recall: 0.9401, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9497, kappa: 0.9183, kb_relative_information_score: 2942.2053, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9502, predictive_accuracy: 0.9495, prior_entropy: 1.48, recall: 0.9495, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9065, kappa: 0.8479, kb_relative_information_score: 2537.1486, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9069, predictive_accuracy: 0.9062, prior_entropy: 1.48, recall: 0.9062, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9584, kappa: 0.9324, kb_relative_information_score: 2984.958, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9587, predictive_accuracy: 0.9583, prior_entropy: 1.48, recall: 0.9583, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9558, kappa: 0.928, kb_relative_information_score: 2961.7981, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 1.48, recall: 0.9561, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9354, kappa: 0.8952, kb_relative_information_score: 2702.225, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 1.48, recall: 0.935, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6069, kappa: 0.3431, kb_relative_information_score: 1382.8067, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.793, predictive_accuracy: 0.6585, prior_entropy: 1.48, recall: 0.6585, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.96, kappa: 0.935, kb_relative_information_score: 2993.547, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9605, predictive_accuracy: 0.9598, prior_entropy: 1.48, recall: 0.9598, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9639, kappa: 0.9413, kb_relative_information_score: 3007.7879, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.964, predictive_accuracy: 0.9639, prior_entropy: 1.48, recall: 0.9639, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9252, kappa: 0.8785, kb_relative_information_score: 2499.0199, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9258, predictive_accuracy: 0.925, prior_entropy: 1.48, recall: 0.925, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4345,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.6171, kappa: 0.3588, kb_relative_information_score: 1419.2679, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7956, predictive_accuracy: 0.6654, prior_entropy: 1.48, recall: 0.6654, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9502, kappa: 0.919, kb_relative_information_score: 2640.9895, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9506, predictive_accuracy: 0.9501, prior_entropy: 1.48, recall: 0.9501, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9217, kappa: 0.8728, kb_relative_information_score: 2530.6172, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 1.48, recall: 0.9215, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.196, root_relative_squared_error: 0.433,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9568, kappa: 0.9299, kb_relative_information_score: 2976.9745, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9572, predictive_accuracy: 0.9567, prior_entropy: 1.48, recall: 0.9567, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9356, kappa: 0.8956, kb_relative_information_score: 2705.3021, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9364, predictive_accuracy: 0.9353, prior_entropy: 1.48, recall: 0.9353, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.4452, kappa: 0.114, kb_relative_information_score: 649.004, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7628, predictive_accuracy: 0.5631, prior_entropy: 1.48, recall: 0.5631, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9578, kappa: 0.9314, kb_relative_information_score: 2981.9471, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9581, predictive_accuracy: 0.9576, prior_entropy: 1.48, recall: 0.9576, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9578, kappa: 0.9314, kb_relative_information_score: 2981.6435, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9581, predictive_accuracy: 0.9576, prior_entropy: 1.48, recall: 0.9576, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 646.6771, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, predictive_accuracy: 0.5191, prior_entropy: 1.48, recall: 0.5191, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9287, kappa: 0.8842, kb_relative_information_score: 2725.6461, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9292, predictive_accuracy: 0.9284, prior_entropy: 1.48, recall: 0.9284, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5313, kappa: 0.2309, kb_relative_information_score: 1129.2518, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7759, predictive_accuracy: 0.6105, prior_entropy: 1.48, recall: 0.6105, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1256,

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