OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7309, kappa: 0.4582, kb_relative_information_score: 1696.8987, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7311, predictive_accuracy: 0.7307, prior_entropy: 0.9948, recall: 0.7307, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7417, kappa: 0.4804, kb_relative_information_score: 1721.5186, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7422, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7395, kappa: 0.4757, kb_relative_information_score: 1617.0128, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7398, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7382, kappa: 0.4732, kb_relative_information_score: 1556.3597, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7525, kappa: 0.5014, kb_relative_information_score: 1565.6204, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7361, kappa: 0.4683, kb_relative_information_score: 1758.9166, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7361, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7531, kappa: 0.5026, kb_relative_information_score: 1566.618, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7221, kappa: 0.4404, kb_relative_information_score: 1593.9308, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7222, predictive_accuracy: 0.7219, prior_entropy: 0.9948, recall: 0.7219, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.73, kappa: 0.4562, kb_relative_information_score: 1572.5526, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.73, predictive_accuracy: 0.7299, prior_entropy: 0.9948, recall: 0.7299, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7352, kappa: 0.4664, kb_relative_information_score: 1756.4252, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7351, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7379, kappa: 0.4726, kb_relative_information_score: 1674.6943, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.74, kappa: 0.4767, kb_relative_information_score: 1616.6326, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7403, predictive_accuracy: 0.7398, prior_entropy: 0.9948, recall: 0.7398, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7274, kappa: 0.4513, kb_relative_information_score: 1576.9076, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7277, predictive_accuracy: 0.7273, prior_entropy: 0.9948, recall: 0.7273, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7289, kappa: 0.4545, kb_relative_information_score: 1574.7639, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7293, predictive_accuracy: 0.7286, prior_entropy: 0.9948, recall: 0.7286, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.742, kappa: 0.4805, kb_relative_information_score: 1533.349, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7421, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7313, kappa: 0.4594, kb_relative_information_score: 1690.1497, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7318, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7309, kappa: 0.4578, kb_relative_information_score: 1650.5766, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7309, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7316, kappa: 0.4596, kb_relative_information_score: 1589.546, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7318, predictive_accuracy: 0.7315, prior_entropy: 0.9948, recall: 0.7315, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7256, kappa: 0.4472, kb_relative_information_score: 1600.7466, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7256, predictive_accuracy: 0.7257, prior_entropy: 0.9948, recall: 0.7257, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7259, kappa: 0.4477, kb_relative_information_score: 1607.0345, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7258, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7284, kappa: 0.4532, kb_relative_information_score: 1580.8108, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7286, predictive_accuracy: 0.7283, prior_entropy: 0.9948, recall: 0.7283, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7467, kappa: 0.4898, kb_relative_information_score: 1558.2419, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7467, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7392, kappa: 0.4753, kb_relative_information_score: 1579.685, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7396, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7403, kappa: 0.4778, kb_relative_information_score: 1616.1083, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7364, kappa: 0.469, kb_relative_information_score: 1559.1023, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7464, kappa: 0.4889, kb_relative_information_score: 1752.7052, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7463, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7507, kappa: 0.4979, kb_relative_information_score: 1557.2629, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7323, kappa: 0.4614, kb_relative_information_score: 1679.0784, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7328, predictive_accuracy: 0.7321, prior_entropy: 0.9948, recall: 0.7321, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.737, kappa: 0.4706, kb_relative_information_score: 1702.6681, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7445, kappa: 0.4859, kb_relative_information_score: 1571.7868, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7339, kappa: 0.4646, kb_relative_information_score: 1589.1077, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7343, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7397, kappa: 0.476, kb_relative_information_score: 1686.7624, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7399, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7322, kappa: 0.4604, kb_relative_information_score: 1724.9153, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7322, predictive_accuracy: 0.7323, prior_entropy: 0.9948, recall: 0.7323, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7446, kappa: 0.4861, kb_relative_information_score: 1737.072, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.745, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7337, kappa: 0.4641, kb_relative_information_score: 1603.8473, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7341, predictive_accuracy: 0.7334, prior_entropy: 0.9948, recall: 0.7334, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7433, kappa: 0.4831, kb_relative_information_score: 1538.8246, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7434, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.727, kappa: 0.4499, kb_relative_information_score: 1617.0411, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7269, predictive_accuracy: 0.727, prior_entropy: 0.9948, recall: 0.727, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7304, kappa: 0.4576, kb_relative_information_score: 1604.2029, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7309, predictive_accuracy: 0.7302, prior_entropy: 0.9948, recall: 0.7302, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7408, kappa: 0.4786, kb_relative_information_score: 1623.9018, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7413, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7473, kappa: 0.4909, kb_relative_information_score: 1555.5714, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7472, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7523, kappa: 0.5012, kb_relative_information_score: 1566.4128, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7529, kappa: 0.5022, kb_relative_information_score: 1556.6674, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7529, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.429, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7311, kappa: 0.4588, kb_relative_information_score: 1685.3858, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7314, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7339, kappa: 0.4644, kb_relative_information_score: 1591.2754, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7342, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9046,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7412, kappa: 0.4786, kb_relative_information_score: 1684.3472, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7412, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7271, kappa: 0.4507, kb_relative_information_score: 1580.1778, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7273, predictive_accuracy: 0.727, prior_entropy: 0.9948, recall: 0.727, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7335, kappa: 0.4635, kb_relative_information_score: 1694.1471, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7337, predictive_accuracy: 0.7334, prior_entropy: 0.9948, recall: 0.7334, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7366, kappa: 0.4692, kb_relative_information_score: 1727.7261, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7403, kappa: 0.4776, kb_relative_information_score: 1592.0149, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7408, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.741, kappa: 0.4784, kb_relative_information_score: 1536.3045, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7411, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7337, kappa: 0.4636, kb_relative_information_score: 1707.9074, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7337, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7306, kappa: 0.4575, kb_relative_information_score: 1645.8897, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7307, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7334, kappa: 0.4639, kb_relative_information_score: 1647.7282, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7341, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7369, kappa: 0.4702, kb_relative_information_score: 1756.5071, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.737, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7433, kappa: 0.4838, kb_relative_information_score: 1736.2651, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.744, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7378, kappa: 0.4721, kb_relative_information_score: 1726.9753, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9478,

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