Task
Supervised Classification on dna

Supervised Classification on dna

Task 146197 Supervised Classification dna 2096 runs submitted
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2096 Runs

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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: 0.984, f_measure: 0.9127, kappa: 0.8584, kb_relative_information_score: 2550.3932, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9152, predictive_accuracy: 0.9118, prior_entropy: 1.48, recall: 0.9118, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4554,
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: 0.6323, f_measure: 0.5885, kappa: 0.3151, kb_relative_information_score: 1318.1748, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7885, predictive_accuracy: 0.6463, prior_entropy: 1.48, recall: 0.6463, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9524, kappa: 0.9226, kb_relative_information_score: 2952.562, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9525, predictive_accuracy: 0.9523, prior_entropy: 1.48, recall: 0.9523, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9211, kappa: 0.8719, kb_relative_information_score: 2609.183, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9217, predictive_accuracy: 0.9209, prior_entropy: 1.48, recall: 0.9209, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9229, kappa: 0.8746, kb_relative_information_score: 2730.1132, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.923, predictive_accuracy: 0.9228, prior_entropy: 1.48, recall: 0.9228, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4464,
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: 0.9866, f_measure: 0.9211, kappa: 0.872, kb_relative_information_score: 2630.7014, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9219, predictive_accuracy: 0.9209, prior_entropy: 1.48, recall: 0.9209, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9571, kappa: 0.9305, kb_relative_information_score: 2979.5365, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9576, 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: 0.5951, 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: 0.6209, f_measure: 0.5715, kappa: 0.2896, kb_relative_information_score: 1260.1685, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7845, predictive_accuracy: 0.6353, prior_entropy: 1.48, recall: 0.6353, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4931, root_relative_squared_error: 1.0892,
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: 0.6264, f_measure: 0.5798, kappa: 0.302, kb_relative_information_score: 1288.3461, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7865, predictive_accuracy: 0.6406, prior_entropy: 1.48, recall: 0.6406, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5575, kappa: 0.269, kb_relative_information_score: 1213.7776, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7815, predictive_accuracy: 0.6265, prior_entropy: 1.48, recall: 0.6265, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.499, root_relative_squared_error: 1.1022,
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: 0.9794, f_measure: 0.9235, kappa: 0.8759, kb_relative_information_score: 2685.5645, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9244, predictive_accuracy: 0.9231, prior_entropy: 1.48, recall: 0.9231, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9243, kappa: 0.8764, kb_relative_information_score: 2803.8418, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9257, predictive_accuracy: 0.925, prior_entropy: 1.48, recall: 0.925, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.5957, kappa: 0.3259, kb_relative_information_score: 1343.0327, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7902, predictive_accuracy: 0.651, prior_entropy: 1.48, recall: 0.651, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.5386, kappa: 0.2415, kb_relative_information_score: 1152.4516, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7774, predictive_accuracy: 0.6149, prior_entropy: 1.48, recall: 0.6149, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.1192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9266, kappa: 0.88, kb_relative_information_score: 1690.1791, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9286, predictive_accuracy: 0.9275, prior_entropy: 1.48, recall: 0.9275, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9452, kappa: 0.911, kb_relative_information_score: 2512.1964, mean_absolute_error: 0.1144, 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: 0.279, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.5453, kappa: 0.2512, kb_relative_information_score: 1173.9967, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7788, predictive_accuracy: 0.619, prior_entropy: 1.48, recall: 0.619, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.504, root_relative_squared_error: 1.1133,
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: 0.9531, f_measure: 0.9422, kappa: 0.9059, kb_relative_information_score: 2898.6296, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9423, predictive_accuracy: 0.9422, prior_entropy: 1.48, recall: 0.9422, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.5381, kappa: 0.2407, kb_relative_information_score: 1150.7952, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7773, predictive_accuracy: 0.6146, prior_entropy: 1.48, recall: 0.6146, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.1197,
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: 0.9865, f_measure: 0.9227, kappa: 0.8745, kb_relative_information_score: 2642.801, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9234, predictive_accuracy: 0.9225, prior_entropy: 1.48, recall: 0.9225, relative_absolute_error: 0.2091, 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: 0.9699, f_measure: 0.9594, kappa: 0.934, kb_relative_information_score: 2989.9289, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.48, recall: 0.9592, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9328, kappa: 0.8909, kb_relative_information_score: 2716.7071, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9334, predictive_accuracy: 0.9325, prior_entropy: 1.48, recall: 0.9325, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9238, kappa: 0.8764, kb_relative_information_score: 2677.1632, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9248, predictive_accuracy: 0.9234, prior_entropy: 1.48, recall: 0.9234, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9332, kappa: 0.8916, kb_relative_information_score: 2681.0816, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9342, predictive_accuracy: 0.9328, prior_entropy: 1.48, recall: 0.9328, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9526, kappa: 0.9227, kb_relative_information_score: 2945.2326, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9533, predictive_accuracy: 0.9529, prior_entropy: 1.48, recall: 0.9529, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9637, kappa: 0.9409, kb_relative_information_score: 3009.1729, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 1.48, recall: 0.9636, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9565, kappa: 0.9295, kb_relative_information_score: 2976.8327, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9571, 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: 0.5, 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: 0.9834, f_measure: 0.9227, kappa: 0.8744, kb_relative_information_score: 2722.9803, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9231, predictive_accuracy: 0.9225, prior_entropy: 1.48, recall: 0.9225, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.915, kappa: 0.862, kb_relative_information_score: 2592.4504, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9158, predictive_accuracy: 0.9146, prior_entropy: 1.48, recall: 0.9146, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4342,
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: 0.5961, 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: 0.5, 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: 0.9185, f_measure: 0.9102, kappa: 0.8528, kb_relative_information_score: 2730.1658, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9142, predictive_accuracy: 0.9115, prior_entropy: 1.48, recall: 0.9115, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5366,
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: 0.9611, 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,
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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,
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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: 0.9668, f_measure: 0.9562, kappa: 0.9288, kb_relative_information_score: 2973.0562, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9565, 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: 0.9648, f_measure: 0.9588, kappa: 0.9328, kb_relative_information_score: 2978.2323, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 1.48, recall: 0.9589, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3657,
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: 0.9906, f_measure: 0.9427, kappa: 0.9068, kb_relative_information_score: 2702.9752, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9433, predictive_accuracy: 0.9426, prior_entropy: 1.48, recall: 0.9426, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.556, kappa: 0.2668, kb_relative_information_score: 1208.805, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7812, predictive_accuracy: 0.6255, prior_entropy: 1.48, recall: 0.6255, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1036,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.6046, kappa: 0.3395, kb_relative_information_score: 1374.5213, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7924, predictive_accuracy: 0.6569, prior_entropy: 1.48, recall: 0.6569, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0564,
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: 0.5, 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: 0.9673, f_measure: 0.9568, kappa: 0.9298, kb_relative_information_score: 2976.3707, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9571, 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: 0.9845, f_measure: 0.9282, kappa: 0.8836, kb_relative_information_score: 2647.4482, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9293, predictive_accuracy: 0.9278, prior_entropy: 1.48, recall: 0.9278, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9377, kappa: 0.8986, kb_relative_information_score: 2875.4281, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9379, predictive_accuracy: 0.9379, prior_entropy: 1.48, recall: 0.9379, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9335, kappa: 0.8921, kb_relative_information_score: 2677.1513, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9345, predictive_accuracy: 0.9331, prior_entropy: 1.48, recall: 0.9331, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.5417, kappa: 0.2459, kb_relative_information_score: 1162.3951, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7781, predictive_accuracy: 0.6168, prior_entropy: 1.48, recall: 0.6168, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.1165,
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: 0.9828, f_measure: 0.9258, kappa: 0.8794, kb_relative_information_score: 2705.0562, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9261, predictive_accuracy: 0.9256, prior_entropy: 1.48, recall: 0.9256, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9624, kappa: 0.939, kb_relative_information_score: 3004.3708, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9606, kappa: 0.936, kb_relative_information_score: 2996.5561, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9611, predictive_accuracy: 0.9605, prior_entropy: 1.48, recall: 0.9605, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9256, kappa: 0.8794, kb_relative_information_score: 2683.9269, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9266, predictive_accuracy: 0.9253, prior_entropy: 1.48, recall: 0.9253, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4379,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9524, kappa: 0.9226, kb_relative_information_score: 2952.562, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9525, predictive_accuracy: 0.9523, prior_entropy: 1.48, recall: 0.9523, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9637, kappa: 0.941, kb_relative_information_score: 3009.1729, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 1.48, recall: 0.9636, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3441,
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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,
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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: 0.6863, f_measure: 0.6628, kappa: 0.4314, kb_relative_information_score: 1591.9673, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.8077, predictive_accuracy: 0.6981, prior_entropy: 1.48, recall: 0.6981, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.991,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.5725, kappa: 0.2911, kb_relative_information_score: 1263.4847, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7848, predictive_accuracy: 0.6359, prior_entropy: 1.48, recall: 0.6359, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0882,
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: 0.6104, 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: 0.9631, f_measure: 0.9524, kappa: 0.9226, kb_relative_information_score: 2952.562, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9525, predictive_accuracy: 0.9523, prior_entropy: 1.48, recall: 0.9523, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9526, kappa: 0.9227, kb_relative_information_score: 2945.2326, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.48, recall: 0.9529, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6101, f_measure: 0.555, kappa: 0.2653, kb_relative_information_score: 1205.4905, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.7809, predictive_accuracy: 0.6249, prior_entropy: 1.48, recall: 0.6249, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8465, kappa: 0.7465, kb_relative_information_score: 2414.386, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.8748, predictive_accuracy: 0.8531, prior_entropy: 1.48, recall: 0.8531, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6912,
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: 0.9858, f_measure: 0.9252, kappa: 0.8787, kb_relative_information_score: 2668.9095, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.927, predictive_accuracy: 0.9247, prior_entropy: 1.48, recall: 0.9247, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4269,

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