Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 18465 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7258, kappa: 0.4474, kb_relative_information_score: 1673.6567, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7257, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.738, kappa: 0.4725, kb_relative_information_score: 1565.1347, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7371, kappa: 0.4712, kb_relative_information_score: 1580.4058, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7409, kappa: 0.4787, kb_relative_information_score: 1591.2451, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7414, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7436, kappa: 0.4838, kb_relative_information_score: 1542.2728, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7438, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7455, kappa: 0.4876, kb_relative_information_score: 1582.8954, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7456, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7403, kappa: 0.4773, kb_relative_information_score: 1605.8688, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7406, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.7336, kappa: 0.4633, kb_relative_information_score: 1706.2177, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7336, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7399, kappa: 0.477, kb_relative_information_score: 1717.4661, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7368, kappa: 0.4697, kb_relative_information_score: 1696.4805, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7367, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7313, kappa: 0.4594, kb_relative_information_score: 1662.3776, mean_absolute_error: 0.278, 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: 0.5599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7419, kappa: 0.4807, kb_relative_information_score: 1689.6758, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7424, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7315, kappa: 0.4588, kb_relative_information_score: 1679.4074, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7314, predictive_accuracy: 0.7318, prior_entropy: 0.9948, recall: 0.7318, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7328, kappa: 0.4624, kb_relative_information_score: 1659.8302, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7332, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7314, kappa: 0.4593, kb_relative_information_score: 1592.3987, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7316, predictive_accuracy: 0.7313, prior_entropy: 0.9948, recall: 0.7313, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7415, kappa: 0.4794, kb_relative_information_score: 1533.4928, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7416, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7404, kappa: 0.478, kb_relative_information_score: 1715.5411, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7412, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7341, kappa: 0.4647, kb_relative_information_score: 1744.2552, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7343, predictive_accuracy: 0.7339, prior_entropy: 0.9948, recall: 0.7339, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7429, kappa: 0.4825, kb_relative_information_score: 1567.7706, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7431, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7406, kappa: 0.4779, kb_relative_information_score: 1560.4294, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.7339, kappa: 0.4646, kb_relative_information_score: 1753.1354, mean_absolute_error: 0.2635, 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: 0.5308, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7328, kappa: 0.4621, kb_relative_information_score: 1616.0399, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.733, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7294, kappa: 0.4548, kb_relative_information_score: 1631.811, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7294, predictive_accuracy: 0.7294, prior_entropy: 0.9948, recall: 0.7294, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.73, kappa: 0.4561, kb_relative_information_score: 1576.347, mean_absolute_error: 0.2894, 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: 0.5829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7412, kappa: 0.4789, kb_relative_information_score: 1770.5621, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7413, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.7367, kappa: 0.4699, kb_relative_information_score: 1674.7564, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7368, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7274, kappa: 0.4505, kb_relative_information_score: 1672.0976, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7273, predictive_accuracy: 0.7275, prior_entropy: 0.9948, recall: 0.7275, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7309, kappa: 0.4581, kb_relative_information_score: 1583.5184, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.731, predictive_accuracy: 0.7307, prior_entropy: 0.9948, recall: 0.7307, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7499, kappa: 0.4967, kb_relative_information_score: 1572.9329, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7503, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7231, kappa: 0.4423, kb_relative_information_score: 1596.2132, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7232, predictive_accuracy: 0.723, prior_entropy: 0.9948, recall: 0.723, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.737, kappa: 0.4702, kb_relative_information_score: 1678.2202, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.737, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7308, kappa: 0.458, kb_relative_information_score: 1586.4824, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.731, predictive_accuracy: 0.7307, prior_entropy: 0.9948, recall: 0.7307, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7301, kappa: 0.4567, kb_relative_information_score: 1598.5619, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7303, predictive_accuracy: 0.7299, prior_entropy: 0.9948, recall: 0.7299, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7418, kappa: 0.4802, kb_relative_information_score: 1562.851, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.742, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7442, kappa: 0.485, kb_relative_information_score: 1542.9597, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7401, kappa: 0.4771, kb_relative_information_score: 1702.4428, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7406, predictive_accuracy: 0.7398, prior_entropy: 0.9948, recall: 0.7398, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7272, kappa: 0.4508, kb_relative_information_score: 1587.9047, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7274, predictive_accuracy: 0.727, prior_entropy: 0.9948, recall: 0.727, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7537, kappa: 0.5038, kb_relative_information_score: 1567.3689, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.5963, 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: 0.8072, f_measure: 0.7399, kappa: 0.4764, kb_relative_information_score: 1555.5523, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7401, predictive_accuracy: 0.7398, prior_entropy: 0.9948, recall: 0.7398, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7387, kappa: 0.4741, kb_relative_information_score: 1565.7932, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.739, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7261, kappa: 0.4485, kb_relative_information_score: 1573.2541, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7263, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7434, kappa: 0.4833, kb_relative_information_score: 1539.5615, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7435, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7386, kappa: 0.4738, kb_relative_information_score: 1527.668, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7388, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7379, kappa: 0.4726, kb_relative_information_score: 1593.0759, mean_absolute_error: 0.2892, 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: 0.5826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8896,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7378, kappa: 0.4731, kb_relative_information_score: 1683.1585, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9032,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7271, kappa: 0.4504, kb_relative_information_score: 1576.8564, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7272, predictive_accuracy: 0.727, prior_entropy: 0.9948, recall: 0.727, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7306, kappa: 0.4578, kb_relative_information_score: 1613.363, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7309, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7382, kappa: 0.4733, kb_relative_information_score: 1591.3918, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7416, kappa: 0.4798, kb_relative_information_score: 1557.5958, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7418, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7429, kappa: 0.4827, kb_relative_information_score: 1572.5127, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7433, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5911, 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: 0.7602, f_measure: 0.7296, kappa: 0.4556, kb_relative_information_score: 1672.3703, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7298, predictive_accuracy: 0.7294, prior_entropy: 0.9948, recall: 0.7294, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7447, kappa: 0.4859, kb_relative_information_score: 1543.8772, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7448, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7427, kappa: 0.4824, kb_relative_information_score: 1590.9868, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7432, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7349, kappa: 0.4663, kb_relative_information_score: 1569.5563, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7351, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7443, kappa: 0.4854, kb_relative_information_score: 1790.4103, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7447, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7363, kappa: 0.4696, kb_relative_information_score: 1573.2335, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8881,

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