Task
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 146800 Supervised Classification MiceProtein 9545 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9741, kappa: 0.9703, kb_relative_information_score: 777.1976, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9743, predictive_accuracy: 0.9741, prior_entropy: 2.9931, recall: 0.9741, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9437, kappa: 0.9353, kb_relative_information_score: 848.119, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9447, predictive_accuracy: 0.9435, prior_entropy: 2.9931, recall: 0.9435, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.159, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9435, kappa: 0.9354, kb_relative_information_score: 915.0866, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9438, predictive_accuracy: 0.9435, prior_entropy: 2.9931, recall: 0.9435, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9677, kappa: 0.9629, kb_relative_information_score: 865.0288, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9679, predictive_accuracy: 0.9676, prior_entropy: 2.9931, recall: 0.9676, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9029, kappa: 0.8887, kb_relative_information_score: 840.3733, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9035, predictive_accuracy: 0.9028, prior_entropy: 2.9931, recall: 0.9028, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9345, kappa: 0.9247, kb_relative_information_score: 533.6232, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9356, predictive_accuracy: 0.9343, prior_entropy: 2.9931, recall: 0.9343, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 952.1733, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.3172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9334, kappa: 0.9237, kb_relative_information_score: 850.914, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.934, predictive_accuracy: 0.9333, prior_entropy: 2.9931, recall: 0.9333, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.875, kappa: 0.8569, kb_relative_information_score: 852.8441, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8762, predictive_accuracy: 0.875, prior_entropy: 2.9931, recall: 0.875, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9021, kappa: 0.8876, kb_relative_information_score: 649.5906, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9052, predictive_accuracy: 0.9019, prior_entropy: 2.9931, recall: 0.9019, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9575, kappa: 0.9513, kb_relative_information_score: 874.1314, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9581, predictive_accuracy: 0.9574, prior_entropy: 2.9931, recall: 0.9574, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 924.7041, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 2.9931, recall: 0.9824, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9649, kappa: 0.9597, kb_relative_information_score: 663.8017, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9651, predictive_accuracy: 0.9648, prior_entropy: 2.9931, recall: 0.9648, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9289, kappa: 0.9184, kb_relative_information_score: 844.1959, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9295, predictive_accuracy: 0.9287, prior_entropy: 2.9931, recall: 0.9287, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.162, root_relative_squared_error: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.929, kappa: 0.9184, kb_relative_information_score: 819.9478, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9302, predictive_accuracy: 0.9287, prior_entropy: 2.9931, recall: 0.9287, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9399, kappa: 0.9311, kb_relative_information_score: 944.9824, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9402, predictive_accuracy: 0.9398, prior_entropy: 2.9931, recall: 0.9398, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.963, kappa: 0.9576, kb_relative_information_score: 903.4461, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9632, predictive_accuracy: 0.963, prior_entropy: 2.9931, recall: 0.963, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9675, kappa: 0.9629, kb_relative_information_score: 823.3638, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9677, predictive_accuracy: 0.9676, prior_entropy: 2.9931, recall: 0.9676, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9631, kappa: 0.9576, kb_relative_information_score: 905.9738, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9636, predictive_accuracy: 0.963, prior_entropy: 2.9931, recall: 0.963, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 905.8585, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.8628, kappa: 0.8431, kb_relative_information_score: 835.3065, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8637, predictive_accuracy: 0.863, prior_entropy: 2.9931, recall: 0.863, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9279, kappa: 0.9173, kb_relative_information_score: 826.4665, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9286, predictive_accuracy: 0.9278, prior_entropy: 2.9931, recall: 0.9278, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9639, kappa: 0.9587, kb_relative_information_score: 979.5139, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.964, predictive_accuracy: 0.9639, prior_entropy: 2.9931, recall: 0.9639, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.3104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8576, kappa: 0.8368, kb_relative_information_score: 785.6099, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8592, predictive_accuracy: 0.8574, prior_entropy: 2.9931, recall: 0.8574, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9212, kappa: 0.9099, kb_relative_information_score: 816.348, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9216, predictive_accuracy: 0.9213, prior_entropy: 2.9931, recall: 0.9213, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.7757, kappa: 0.7436, kb_relative_information_score: 809.6891, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7767, predictive_accuracy: 0.7759, prior_entropy: 2.9931, recall: 0.7759, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9286, kappa: 0.9184, kb_relative_information_score: 906.5175, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9289, predictive_accuracy: 0.9287, prior_entropy: 2.9931, recall: 0.9287, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9676, kappa: 0.9629, kb_relative_information_score: 661.0494, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9678, predictive_accuracy: 0.9676, prior_entropy: 2.9931, recall: 0.9676, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8758, kappa: 0.858, kb_relative_information_score: 854.3609, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8762, predictive_accuracy: 0.8759, prior_entropy: 2.9931, recall: 0.8759, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9612, kappa: 0.9555, kb_relative_information_score: 897.0462, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9615, predictive_accuracy: 0.9611, prior_entropy: 2.9931, recall: 0.9611, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9409, kappa: 0.9322, kb_relative_information_score: 534.5057, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9422, predictive_accuracy: 0.9407, prior_entropy: 2.9931, recall: 0.9407, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9759, kappa: 0.9724, kb_relative_information_score: 869.8134, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 2.9931, recall: 0.9759, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9667, kappa: 0.9619, kb_relative_information_score: 855.9814, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 2.9931, recall: 0.9667, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8723, kappa: 0.8538, kb_relative_information_score: 888.7266, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8731, predictive_accuracy: 0.8722, prior_entropy: 2.9931, recall: 0.8722, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.987, kappa: 0.9852, kb_relative_information_score: 927.0148, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9872, predictive_accuracy: 0.987, prior_entropy: 2.9931, recall: 0.987, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8956, kappa: 0.8802, kb_relative_information_score: 801.7867, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8968, predictive_accuracy: 0.8954, prior_entropy: 2.9931, recall: 0.8954, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9704, kappa: 0.9661, kb_relative_information_score: 863.5651, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 2.9931, recall: 0.9704, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 916.5828, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9815, kappa: 0.9788, kb_relative_information_score: 855.1111, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 2.9931, recall: 0.9815, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9621, kappa: 0.9566, kb_relative_information_score: 831.8222, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9625, predictive_accuracy: 0.962, prior_entropy: 2.9931, recall: 0.962, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9222, kappa: 0.911, kb_relative_information_score: 647.4762, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9239, predictive_accuracy: 0.9222, prior_entropy: 2.9931, recall: 0.9222, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.952, kappa: 0.9449, kb_relative_information_score: 862.2887, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9525, predictive_accuracy: 0.9519, prior_entropy: 2.9931, recall: 0.9519, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9336, kappa: 0.9237, kb_relative_information_score: 828.2136, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9344, predictive_accuracy: 0.9333, prior_entropy: 2.9931, recall: 0.9333, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9326, kappa: 0.9226, kb_relative_information_score: 792.0939, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9336, predictive_accuracy: 0.9324, prior_entropy: 2.9931, recall: 0.9324, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.901, kappa: 0.8866, kb_relative_information_score: 918.4793, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9013, predictive_accuracy: 0.9009, prior_entropy: 2.9931, recall: 0.9009, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 910.8061, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9104, kappa: 0.8972, kb_relative_information_score: 884.1309, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9112, predictive_accuracy: 0.9102, prior_entropy: 2.9931, recall: 0.9102, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9556, kappa: 0.9491, kb_relative_information_score: 576.6896, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9558, predictive_accuracy: 0.9556, prior_entropy: 2.9931, recall: 0.9556, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.95, kappa: 0.9428, kb_relative_information_score: 834.6507, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9505, predictive_accuracy: 0.95, prior_entropy: 2.9931, recall: 0.95, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.952, kappa: 0.9449, kb_relative_information_score: 774.1543, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9525, predictive_accuracy: 0.9519, prior_entropy: 2.9931, recall: 0.9519, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8869, kappa: 0.8706, kb_relative_information_score: 462.1504, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8928, predictive_accuracy: 0.887, prior_entropy: 2.9931, recall: 0.887, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9353, kappa: 0.9258, kb_relative_information_score: 764.4831, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9361, predictive_accuracy: 0.9352, prior_entropy: 2.9931, recall: 0.9352, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9112, kappa: 0.8983, kb_relative_information_score: 743.2099, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9134, predictive_accuracy: 0.9111, prior_entropy: 2.9931, recall: 0.9111, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9722, kappa: 0.9682, kb_relative_information_score: 866.6265, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 2.9931, recall: 0.9722, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.975, kappa: 0.9714, kb_relative_information_score: 695.2698, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 2.9931, recall: 0.975, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9861, kappa: 0.9841, kb_relative_information_score: 861.0272, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9863, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9327, kappa: 0.9226, kb_relative_information_score: 813.1849, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9338, predictive_accuracy: 0.9324, prior_entropy: 2.9931, recall: 0.9324, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9086, kappa: 0.8951, kb_relative_information_score: 847.6091, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 2.9931, recall: 0.9083, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.963, kappa: 0.9576, kb_relative_information_score: 923.391, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9631, predictive_accuracy: 0.963, prior_entropy: 2.9931, recall: 0.963, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.975, kappa: 0.9714, kb_relative_information_score: 924.7955, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 2.9931, recall: 0.975, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9214, kappa: 0.9099, kb_relative_information_score: 852.3868, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9221, predictive_accuracy: 0.9213, prior_entropy: 2.9931, recall: 0.9213, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9316, kappa: 0.9216, kb_relative_information_score: 869.0875, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9319, predictive_accuracy: 0.9315, prior_entropy: 2.9931, recall: 0.9315, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9399, kappa: 0.9311, kb_relative_information_score: 812.976, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9407, predictive_accuracy: 0.9398, prior_entropy: 2.9931, recall: 0.9398, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9852, kappa: 0.983, kb_relative_information_score: 921.3023, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 2.9931, recall: 0.9852, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9676, kappa: 0.9629, kb_relative_information_score: 884.0281, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9678, predictive_accuracy: 0.9676, prior_entropy: 2.9931, recall: 0.9676, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9694, kappa: 0.965, kb_relative_information_score: 910.0327, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9696, predictive_accuracy: 0.9694, prior_entropy: 2.9931, recall: 0.9694, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9806, kappa: 0.9777, kb_relative_information_score: 927.1424, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 2.9931, recall: 0.9806, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.975, kappa: 0.9714, kb_relative_information_score: 950.5894, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 2.9931, recall: 0.975, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9612, kappa: 0.9555, kb_relative_information_score: 827.149, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9615, predictive_accuracy: 0.9611, prior_entropy: 2.9931, recall: 0.9611, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.8405, kappa: 0.8177, kb_relative_information_score: 783.6565, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8418, predictive_accuracy: 0.8407, prior_entropy: 2.9931, recall: 0.8407, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9462, kappa: 0.9385, kb_relative_information_score: 899.3952, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9464, predictive_accuracy: 0.9463, prior_entropy: 2.9931, recall: 0.9463, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9713, kappa: 0.9672, kb_relative_information_score: 878.7369, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9716, predictive_accuracy: 0.9713, prior_entropy: 2.9931, recall: 0.9713, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9723, kappa: 0.9682, kb_relative_information_score: 899.5631, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9727, predictive_accuracy: 0.9722, prior_entropy: 2.9931, recall: 0.9722, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8751, kappa: 0.8569, kb_relative_information_score: 795.5009, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8761, predictive_accuracy: 0.875, prior_entropy: 2.9931, recall: 0.875, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9732, kappa: 0.9693, kb_relative_information_score: 936.1104, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9734, predictive_accuracy: 0.9731, prior_entropy: 2.9931, recall: 0.9731, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.119, root_relative_squared_error: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9335, kappa: 0.9237, kb_relative_information_score: 843.0141, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 2.9931, recall: 0.9333, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9124, kappa: 0.8993, kb_relative_information_score: 765.8944, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9138, predictive_accuracy: 0.912, prior_entropy: 2.9931, recall: 0.912, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9481, kappa: 0.9407, kb_relative_information_score: 897.1158, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9484, predictive_accuracy: 0.9481, prior_entropy: 2.9931, recall: 0.9481, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9908, kappa: 0.9894, kb_relative_information_score: 949.4411, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9787, kappa: 0.9756, kb_relative_information_score: 942.5755, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9789, predictive_accuracy: 0.9787, prior_entropy: 2.9931, recall: 0.9787, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9483, kappa: 0.9407, kb_relative_information_score: 776.2373, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9487, predictive_accuracy: 0.9481, prior_entropy: 2.9931, recall: 0.9481, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9511, kappa: 0.9438, kb_relative_information_score: 857.5616, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9516, predictive_accuracy: 0.9509, prior_entropy: 2.9931, recall: 0.9509, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9658, kappa: 0.9608, kb_relative_information_score: 871.1126, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9663, predictive_accuracy: 0.9657, prior_entropy: 2.9931, recall: 0.9657, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9769, kappa: 0.9735, kb_relative_information_score: 960.6327, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.977, predictive_accuracy: 0.9769, prior_entropy: 2.9931, recall: 0.9769, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.3203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 911.9147, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 933.3843, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8931, kappa: 0.8771, kb_relative_information_score: 748.6184, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8953, predictive_accuracy: 0.8926, prior_entropy: 2.9931, recall: 0.8926, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8533, kappa: 0.8326, kb_relative_information_score: 822.933, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8538, predictive_accuracy: 0.8537, prior_entropy: 2.9931, recall: 0.8537, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5297,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.925, kappa: 0.9141, kb_relative_information_score: 933.2116, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9255, predictive_accuracy: 0.925, prior_entropy: 2.9931, recall: 0.925, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8869, kappa: 0.8707, kb_relative_information_score: 833.971, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8873, predictive_accuracy: 0.887, prior_entropy: 2.9931, recall: 0.887, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 909.4239, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8846, kappa: 0.8675, kb_relative_information_score: 897.2934, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8863, predictive_accuracy: 0.8843, prior_entropy: 2.9931, recall: 0.8843, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9843, kappa: 0.982, kb_relative_information_score: 956.6254, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9845, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8701, kappa: 0.8517, kb_relative_information_score: 860.9754, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8714, predictive_accuracy: 0.8704, prior_entropy: 2.9931, recall: 0.8704, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8871, kappa: 0.8707, kb_relative_information_score: 816.2835, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8879, predictive_accuracy: 0.887, prior_entropy: 2.9931, recall: 0.887, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9473, kappa: 0.9396, kb_relative_information_score: 899.3207, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9477, predictive_accuracy: 0.9472, prior_entropy: 2.9931, recall: 0.9472, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9778, kappa: 0.9746, kb_relative_information_score: 909.0628, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 2.9931, recall: 0.9778, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9464, kappa: 0.9385, kb_relative_information_score: 848.9722, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9469, predictive_accuracy: 0.9463, prior_entropy: 2.9931, recall: 0.9463, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9121, kappa: 0.8993, kb_relative_information_score: 733.7082, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9146, predictive_accuracy: 0.912, prior_entropy: 2.9931, recall: 0.912, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6006,

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